query
stringlengths 13
300
| docs
sequencelengths 26
60
| multilingual-e5-small
sequencelengths 26
60
| multilingual-e5-base
sequencelengths 26
60
| multilingual-e5-large
sequencelengths 26
60
| mxbai-embed-large-v1
sequencelengths 26
60
| GIST-large-Embedding-v0
sequencelengths 26
60
| ember-v1
sequencelengths 26
60
| target
sequencelengths 26
60
|
|---|---|---|---|---|---|---|---|---|
REM: Resource-Efficient Mining for Blockchains | [
"Short Paper: Service-Oriented Sharding for Blockchains",
"ETHEREUM: A SECURE DECENTRALISED GENERALISED TRANSACTION LEDGER",
"Step by Step Towards Creating a Safe Smart Contract: Lessons and Insights from a Cryptocurrency Lab",
"Using Blockchain and smart contracts for secure data provenance management",
"Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction",
"Failure to Demonstrate That Playing Violent Video Games Diminishes Prosocial Behavior",
"Violent Media Content and Aggressiveness in Adolescents A Downward Spiral Model",
"Linguistic Regularities in Sparse and Explicit Word Representations",
"Third-Person Imitation Learning",
"Financial Sentiment Analysis for Risk Prediction",
"Movie Description",
"The multi-tasking paradox : perceptions , problems and strategies",
"Emotion-regulation strategies across psychopathology: A meta-analytic review.",
"Multi-species simulation of porous sand and water mixtures",
"Revision of Achievement Goal Theory : Necessary and Illuminating",
"Comparative Study of Various Decision Tree Classification Algorithm Using WEKA",
"Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge",
"Product Avatar as Digital Counterpart of a Physical Individual Product: Literature Review and Implications in an Aircraft",
"Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning",
"Blockchain Based Distributed Control System for Edge Computing",
"Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities",
"Comparisons of CFD Simulations and In-service Data for the Self Propelled Performance of an Autonomous Underwater Vehicle",
"On Detecting Adversarial Perturbations",
"A comprehensive introduction to differential geometry",
"AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection",
"'houston, we have a solution': a case study of the analysis of astronaut speech during NASA apollo 11 for long-term speaker modeling",
"Image Alignment and Stitching : A Tutorial 1",
"From QoS to QoE: A Tutorial on Video Quality Assessment",
"Object Detection using the Canny Edge Detector"
] | [
0.8768692016601562,
0.8593603372573853,
0.8635100722312927,
0.8670411705970764,
0.8346526026725769,
0.7904182076454163,
0.7711281776428223,
0.8152711391448975,
0.8166764974594116,
0.8249163627624512,
0.7770275473594666,
0.797380805015564,
0.7864643335342407,
0.802106499671936,
0.8226532936096191,
0.8178091049194336,
0.8199412822723389,
0.8053218722343445,
0.8283207416534424,
0.8751683831214905,
0.8310162425041199,
0.8087520003318787,
0.8216375112533569,
0.8160228133201599,
0.8586668372154236,
0.802240252494812,
0.7930223941802979,
0.8142269849777222,
0.8065879940986633
] | [
0.8574790954589844,
0.849737286567688,
0.8387858867645264,
0.848486065864563,
0.7944801449775696,
0.7740446329116821,
0.7761930823326111,
0.7923764586448669,
0.7907147407531738,
0.8034999370574951,
0.7617456912994385,
0.7808877229690552,
0.7958734631538391,
0.7762423157691956,
0.7735084891319275,
0.7828539609909058,
0.7832013368606567,
0.7692061066627502,
0.7871906757354736,
0.8416315317153931,
0.808992862701416,
0.765750527381897,
0.7974608540534973,
0.7854454517364502,
0.8083704710006714,
0.7760885953903198,
0.7740476727485657,
0.7973070740699768,
0.7965444326400757
] | [
0.858852744102478,
0.8182197213172913,
0.8241829872131348,
0.8431212902069092,
0.7855890393257141,
0.757253885269165,
0.7403469681739807,
0.7609759569168091,
0.7713301777839661,
0.7832514047622681,
0.7505423426628113,
0.7760813236236572,
0.7579430341720581,
0.750617265701294,
0.7400857210159302,
0.7658014297485352,
0.7772567868232727,
0.7375928163528442,
0.7663297653198242,
0.8314767479896545,
0.7890308499336243,
0.7598886489868164,
0.7769929766654968,
0.7827068567276001,
0.7849341630935669,
0.7447577118873596,
0.7844039797782898,
0.7694159746170044,
0.7732467651367188
] | [
0.7641415596008301,
0.7065961360931396,
0.7000443339347839,
0.7030080556869507,
0.5512140989303589,
0.28981155157089233,
0.3821500539779663,
0.5103675127029419,
0.44373539090156555,
0.5817655324935913,
0.3477349281311035,
0.4118192791938782,
0.3785732090473175,
0.43198299407958984,
0.40372663736343384,
0.5355527400970459,
0.46517229080200195,
0.38645973801612854,
0.48246854543685913,
0.6690770387649536,
0.4602389931678772,
0.38220158219337463,
0.5355324745178223,
0.48631614446640015,
0.504697322845459,
0.45933201909065247,
0.44901201128959656,
0.45023614168167114,
0.4771186411380768
] | [
0.714819610118866,
0.6283107995986938,
0.6117786169052124,
0.6186842322349548,
0.41619694232940674,
0.20685413479804993,
0.2280251532793045,
0.393828421831131,
0.28034424781799316,
0.46236294507980347,
0.2053525149822235,
0.2507301867008209,
0.22227206826210022,
0.2653152048587799,
0.24332372844219208,
0.42000651359558105,
0.3232147693634033,
0.1895184963941574,
0.3485398292541504,
0.6114822626113892,
0.3048732280731201,
0.23904094099998474,
0.38076192140579224,
0.3134308457374573,
0.3850822448730469,
0.33921897411346436,
0.2775050401687622,
0.28292128443717957,
0.34664708375930786
] | [
0.7766740322113037,
0.7071857452392578,
0.7102854251861572,
0.7031131982803345,
0.5683960318565369,
0.36933186650276184,
0.4118625521659851,
0.5350184440612793,
0.4902508556842804,
0.5981602668762207,
0.36517423391342163,
0.4472475051879883,
0.4102158546447754,
0.4522774815559387,
0.4343720078468323,
0.5528075695037842,
0.49498996138572693,
0.4150813817977905,
0.5181962251663208,
0.6656397581100464,
0.47893208265304565,
0.40224939584732056,
0.568905234336853,
0.5225473642349243,
0.5305196046829224,
0.4939735531806946,
0.48261359333992004,
0.47587335109710693,
0.5069215297698975
] | [
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Deep Sparse Rectifier Neural Networks | [
"ApDeepSense: Deep Learning Uncertainty Estimation without the Pain for IoT Applications",
"Improving deep neural networks using softplus units",
"A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks",
"Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups",
"A voice-controlled personal assistant robot",
"Locating 3D Object Proposals: A Depth-Based Online Approach",
"Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks?",
"A Behavioral Approach to Law and Economics",
"SiCloPe: Silhouette-Based Clothed People",
"The decision-making process.",
"Subscription fraud prevention in telecommunications using fuzzy rules and neural networks",
"Why People Continue to Use Social Networking Services: Developing a Comprehensive Model",
"Big data technologies and Management: What conceptual modeling can do",
"Compositional Obverter Communication Learning From Raw Visual Input",
"Microgrid power electronic converters: State of the art and future challenges",
"DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades",
"Occupational therapy interventions for ADHD : a systematic review",
"Hybrid Models with Deep and Invertible Features",
"Knowledge discovery from road traffic accident data in Ethiopia: Data quality, ensembling and trend analysis for improving road safety",
"Machine Learning Cryptanalysis of a Quantum Random Number Generator",
"Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN",
"Camera Style Adaptation for Person Re-identification",
"An Improved Model of Semantic Similarity Based on Lexical Co-Occurrence",
"E-fashion Product Discovery via Deep Text Parsing",
"Big Data Model of Security Sharing Based on Blockchain",
"FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance",
"PSYCHOLOGY AND ECONOMICS",
"ShapeWorld - A new test methodology for multimodal language understanding"
] | [
0.8666680455207825,
0.8825836181640625,
0.8626356720924377,
0.8873703479766846,
0.8192814588546753,
0.8253284692764282,
0.8619178533554077,
0.7853412628173828,
0.809071958065033,
0.7858781218528748,
0.8455137014389038,
0.8130439519882202,
0.7833825349807739,
0.8364754915237427,
0.8013335466384888,
0.8474284410476685,
0.7798303961753845,
0.8495578765869141,
0.8120434284210205,
0.8447726964950562,
0.8577096462249756,
0.828931450843811,
0.802383542060852,
0.8644248247146606,
0.8132843375205994,
0.8242322206497192,
0.7943888902664185,
0.810875415802002
] | [
0.8176746964454651,
0.8363774418830872,
0.8372663855552673,
0.846992015838623,
0.7940164804458618,
0.7938220500946045,
0.8129739165306091,
0.7781556248664856,
0.760084331035614,
0.7773680090904236,
0.8029547333717346,
0.7752201557159424,
0.7764028310775757,
0.8228157758712769,
0.7861604690551758,
0.8168191909790039,
0.7692766189575195,
0.8333106637001038,
0.7529789209365845,
0.8190429210662842,
0.8383615016937256,
0.8001973032951355,
0.7783282995223999,
0.8377967476844788,
0.7848659753799438,
0.7869699597358704,
0.783263087272644,
0.7625095844268799
] | [
0.8103342652320862,
0.8200941681861877,
0.815252959728241,
0.8178445100784302,
0.7606234550476074,
0.7703540325164795,
0.8146332502365112,
0.7380779981613159,
0.7631639242172241,
0.752126932144165,
0.7775167226791382,
0.7460409998893738,
0.7565220594406128,
0.8219615817070007,
0.7726902961730957,
0.8071913719177246,
0.7654213309288025,
0.8137631416320801,
0.7418702840805054,
0.7992607355117798,
0.7947263717651367,
0.7571007013320923,
0.7493401169776917,
0.7814297676086426,
0.7496564984321594,
0.7730122804641724,
0.7683829665184021,
0.7775254249572754
] | [
0.6475439071655273,
0.7111258506774902,
0.6519726514816284,
0.6803497076034546,
0.466693639755249,
0.4718138575553894,
0.6848188638687134,
0.3847883939743042,
0.533982515335083,
0.34003132581710815,
0.516743004322052,
0.3547477126121521,
0.4257422089576721,
0.5821521282196045,
0.5730183124542236,
0.5315229296684265,
0.33707696199417114,
0.701886773109436,
0.43620890378952026,
0.5463900566101074,
0.6350248456001282,
0.5137103796005249,
0.42929625511169434,
0.5535471439361572,
0.37994325160980225,
0.531609296798706,
0.37463247776031494,
0.4940539598464966
] | [
0.5349661707878113,
0.6386531591415405,
0.5570070147514343,
0.6103917360305786,
0.3351491093635559,
0.3500642776489258,
0.6095611453056335,
0.22354206442832947,
0.39828526973724365,
0.2341240644454956,
0.35685595870018005,
0.1546291559934616,
0.2788391709327698,
0.46711552143096924,
0.4318991005420685,
0.38853415846824646,
0.1845875233411789,
0.6269504427909851,
0.2602926790714264,
0.4231390357017517,
0.5345985889434814,
0.3969686031341553,
0.28552740812301636,
0.43419158458709717,
0.21513453125953674,
0.4094586968421936,
0.2570885419845581,
0.3894663453102112
] | [
0.6604222059249878,
0.7125139832496643,
0.6644337177276611,
0.6939729452133179,
0.4974694848060608,
0.5086395144462585,
0.7041562795639038,
0.4323587119579315,
0.5640411972999573,
0.3841472268104553,
0.5278668403625488,
0.38533148169517517,
0.46016836166381836,
0.6001467704772949,
0.5773512721061707,
0.5586313009262085,
0.35778483748435974,
0.7154285311698914,
0.46621376276016235,
0.5762760639190674,
0.6501601934432983,
0.53556889295578,
0.45997026562690735,
0.574982762336731,
0.40969181060791016,
0.5539372563362122,
0.4240989089012146,
0.5124369859695435
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
An Evaluation of Open Source Serverless Computing Frameworks | [
"Go Serverless: Securing Cloud via Serverless Design Patterns",
"Evaluation of Production Serverless Computing Environments",
"Smart ITS Sensor for the Transportation Planning Based on IoT Approaches Using Serverless and Microservices Architecture",
"SOCK: Rapid Task Provisioning with Serverless-Optimized Containers",
"Research challenges in nextgen service orchestration",
"Car parking control using a trajectory tracking controller",
"Learning nonstationary models of normal network traffic for detecting novel attacks",
"Time Series Prediction: Forecasting the Future and Understanding the Past",
"Speed-Security Tradeo s in Blockchain Protocols",
"Generating Wikipedia by Summarizing Long Sequences",
"Deep learning for stock prediction using numerical and textual information",
"Video Games in Psychotherapy",
"Big Data Meet Green Challenges: Greening Big Data",
"A deep network model for paraphrase detection in short text messages",
"A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment",
"Bilevel Programming for Hyperparameter Optimization and Meta-Learning",
"IoT Based Low Cost Smart Irrigation System",
"Plotting basic control charts: tutorial notes for healthcare practitioners.",
"Architecting to achieve a billion requests per second throughput on a single key-value store server platform",
"Digital Transformation in Airport Ground Operations",
"Developing nursing leadership in social media.",
"AmbientGAN: Generative models from lossy measurements",
"On Using Very Large Target Vocabulary for Neural Machine Translation",
"Basal metabolic rate studies in humans: measurement and development of new equations.",
"Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base",
"Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models",
"Lévy Processes — From Probability to Finance and Quantum Groups",
"Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data",
"Incremental Subgraph Feature Selection for Graph Classification",
"Where and when to pay attention: the neural systems for directing attention to spatial locations and to time intervals as revealed by both PET and fMRI."
] | [
0.8778787851333618,
0.936011791229248,
0.863980233669281,
0.8761248588562012,
0.8035168647766113,
0.7799009084701538,
0.8230124711990356,
0.8014458417892456,
0.8226912021636963,
0.7998838424682617,
0.8053857088088989,
0.7896592020988464,
0.8153440952301025,
0.8234599828720093,
0.8041894435882568,
0.8361324071884155,
0.8375363945960999,
0.7978218197822571,
0.842276930809021,
0.8124063611030579,
0.7917728424072266,
0.8165525197982788,
0.8084815740585327,
0.7840961217880249,
0.8217607140541077,
0.8309762477874756,
0.7931753993034363,
0.8098438382148743,
0.8097378015518188,
0.7525238990783691
] | [
0.8664760589599609,
0.9271977543830872,
0.8276530504226685,
0.8348866105079651,
0.8103923797607422,
0.7643665075302124,
0.7952347993850708,
0.7755094766616821,
0.8002249002456665,
0.8088246583938599,
0.7766534090042114,
0.779113233089447,
0.7959641218185425,
0.7840251922607422,
0.7865604162216187,
0.7903566360473633,
0.805723249912262,
0.7900828719139099,
0.8235238790512085,
0.7943179607391357,
0.7789831757545471,
0.782870888710022,
0.7865190505981445,
0.7974420785903931,
0.7851920127868652,
0.8020716905593872,
0.7665035724639893,
0.8002356290817261,
0.7683776617050171,
0.7567174434661865
] | [
0.8400595188140869,
0.9203885197639465,
0.8182239532470703,
0.8371151685714722,
0.8086523413658142,
0.7490745782852173,
0.7817143201828003,
0.7795050740242004,
0.7964763641357422,
0.7709981203079224,
0.7571091651916504,
0.766285240650177,
0.7758423089981079,
0.7734213471412659,
0.782907247543335,
0.7774003744125366,
0.8024014234542847,
0.7390704154968262,
0.7922741770744324,
0.7745011448860168,
0.763371467590332,
0.774416446685791,
0.7737175226211548,
0.7794653177261353,
0.7611721754074097,
0.7732013463973999,
0.7629091739654541,
0.782950758934021,
0.7784167528152466,
0.7614541053771973
] | [
0.7926619052886963,
0.9108414053916931,
0.666443943977356,
0.8082189559936523,
0.6680611968040466,
0.42092210054397583,
0.4833645224571228,
0.49556058645248413,
0.6024718284606934,
0.4745328426361084,
0.4064326286315918,
0.36611416935920715,
0.5568283796310425,
0.4108511209487915,
0.40952855348587036,
0.48481249809265137,
0.529461145401001,
0.4188165068626404,
0.6877872943878174,
0.5174882411956787,
0.387194961309433,
0.535499095916748,
0.40032631158828735,
0.46223384141921997,
0.42951738834381104,
0.46872997283935547,
0.4760000705718994,
0.420732706785202,
0.4728781580924988,
0.413066565990448
] | [
0.7476736903190613,
0.8913915157318115,
0.5868649482727051,
0.7498729228973389,
0.5804657936096191,
0.2403808981180191,
0.3353947401046753,
0.3418891131877899,
0.48482170701026917,
0.33828824758529663,
0.24406003952026367,
0.2009531706571579,
0.40839433670043945,
0.2605460584163666,
0.2626589834690094,
0.3429590165615082,
0.41705000400543213,
0.2686346173286438,
0.6139150857925415,
0.3581862151622772,
0.23016232252120972,
0.38218438625335693,
0.26154693961143494,
0.3068006634712219,
0.28351300954818726,
0.31002211570739746,
0.32584843039512634,
0.25306159257888794,
0.31881386041641235,
0.2747569680213928
] | [
0.7900327444076538,
0.9089837074279785,
0.6773200631141663,
0.8102356195449829,
0.675315797328949,
0.4534756541252136,
0.5079466700553894,
0.5300812125205994,
0.6264200210571289,
0.5166198015213013,
0.4366292655467987,
0.3988683819770813,
0.5747166872024536,
0.4422250986099243,
0.44644033908843994,
0.512834370136261,
0.5433013439178467,
0.4501092731952667,
0.7027566432952881,
0.538390040397644,
0.4234692454338074,
0.5599910616874695,
0.4403616786003113,
0.5001130700111389,
0.45503032207489014,
0.4963644742965698,
0.5084676742553711,
0.4529765248298645,
0.5022130012512207,
0.44985759258270264
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Traffic Accidents Classification and Injury Severity Prediction | [
"Freeway speed limits and traffic fatalities in Washington State.",
"Classification of Vehicle Collision Patterns in Road Accidents using Data Mining Algorithms",
"Traffic Incident Duration Prediction Based on Artificial Neural Network",
"Traffic Accident Analysis Using Decision Trees and Neural Networks",
"Analyzing Factors, Construction of Dataset, Estimating Importance of Factor, and Generation of Association Rules for Indian Road Accident",
"Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research",
"Limits to growth in the new economy : exploring the ‘ get big fast ’ strategy in e-commerce †",
"Recent Advances in Neural Program Synthesis",
"Evaluate and Propose a Novel Technique to Check Genuineness of the Currency Using Image Processing",
"Deep Neural Nets with Interpolating Function as Output Activation",
"Progressive Web Apps: The Possible Web-native Unifier for Mobile Development",
"EESEN: End-to-end speech recognition using deep RNN models and WFST-based decoding",
"Ten Years of Pedestrian Detection, What Have We Learned?",
"Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays",
"Separating fact from fiction: an examination of deceptive self-presentation in online dating profiles.",
"Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes",
"Feed optimization for five-axis CNC machine tools with drive constraints",
"Transfer Learning via Inter-Task Mappings for Temporal Difference Learning",
"Explainable Entity-based Recommendations with Knowledge Graphs",
"A Quality Framework for Agile Requirements: A Practitioner's Perspective",
"Learning Classifiers from Synthetic Data Using a Multichannel Autoencoder",
"An Overview of Deep Learning Based Methods for Unsupervised and Semi-Supervised Anomaly Detection in Videos",
"Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air",
"The Six Core Elements of Business Process Management",
"Challenges of Marketing E-banking Services in a Developing Country : The Case of Ghana",
"Transformation from EPC to BPMN",
"A Comprehensive survey on 5G: The prospect of future communications",
"Explicit Pose Deformation Learning for Tracking Human Poses",
"Self-training on refined clause patterns for relation extraction",
"A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication"
] | [
0.8705639243125916,
0.9012714624404907,
0.8960838913917542,
0.9071720838546753,
0.871262788772583,
0.8096840381622314,
0.7845461368560791,
0.8047871589660645,
0.8002743721008301,
0.8171535730361938,
0.8009843230247498,
0.8303347826004028,
0.8503817319869995,
0.7833911180496216,
0.7984498143196106,
0.847933292388916,
0.7945947051048279,
0.8158797025680542,
0.8034908771514893,
0.8107038736343384,
0.8262244462966919,
0.8461481332778931,
0.8186746835708618,
0.7930969595909119,
0.7872014045715332,
0.8018220663070679,
0.8165130019187927,
0.827837347984314,
0.8167650699615479,
0.80473792552948
] | [
0.8318461775779724,
0.8847208023071289,
0.8650403618812561,
0.8842368125915527,
0.8546202182769775,
0.7944815754890442,
0.7580314874649048,
0.7874332666397095,
0.7882977724075317,
0.7868717908859253,
0.7772364616394043,
0.7850949168205261,
0.8189889192581177,
0.7831188440322876,
0.7725620865821838,
0.8416049480438232,
0.7866660952568054,
0.7883930802345276,
0.7874060869216919,
0.7874747514724731,
0.800619900226593,
0.8170077800750732,
0.7965561747550964,
0.767289400100708,
0.7391605377197266,
0.7650254964828491,
0.7911118268966675,
0.7982442378997803,
0.8011036515235901,
0.7921384572982788
] | [
0.8181231021881104,
0.8566664457321167,
0.8373532295227051,
0.8514333963394165,
0.8220086097717285,
0.7782390117645264,
0.7348493337631226,
0.7517721652984619,
0.7775514721870422,
0.782953143119812,
0.7540251016616821,
0.7750694751739502,
0.7982573509216309,
0.7339825630187988,
0.7711802124977112,
0.8213610649108887,
0.7379090785980225,
0.7912603616714478,
0.763384997844696,
0.7628276944160461,
0.800125241279602,
0.78355872631073,
0.7755897045135498,
0.759113073348999,
0.723497211933136,
0.7610803842544556,
0.7769670486450195,
0.7775325775146484,
0.780693769454956,
0.7590553164482117
] | [
0.573838472366333,
0.810211181640625,
0.7408759593963623,
0.8408588171005249,
0.760678231716156,
0.460105299949646,
0.39313021302223206,
0.5168448686599731,
0.4481739401817322,
0.537034273147583,
0.4380307197570801,
0.4875336289405823,
0.5934295654296875,
0.3924676775932312,
0.38353994488716125,
0.6202654838562012,
0.39910751581192017,
0.53607177734375,
0.44759970903396606,
0.42892464995384216,
0.5987881422042847,
0.5145052671432495,
0.5164397954940796,
0.39348307251930237,
0.39678052067756653,
0.4263863265514374,
0.42584550380706787,
0.5577564835548401,
0.47924524545669556,
0.4227050244808197
] | [
0.5315045118331909,
0.7663487792015076,
0.669000506401062,
0.7883625030517578,
0.7126275897026062,
0.2913001775741577,
0.22214262187480927,
0.3704259991645813,
0.3017258644104004,
0.3740832805633545,
0.2811514139175415,
0.3368205428123474,
0.4822244346141815,
0.2302667200565338,
0.18112972378730774,
0.5205140113830566,
0.2582528293132782,
0.3772377371788025,
0.3223848342895508,
0.29801255464553833,
0.47181829810142517,
0.38457566499710083,
0.3780434727668762,
0.28235119581222534,
0.23095057904720306,
0.29289042949676514,
0.29166579246520996,
0.4459203779697418,
0.34498095512390137,
0.26235800981521606
] | [
0.6177974343299866,
0.8086023330688477,
0.7473503351211548,
0.8428385257720947,
0.7649189233779907,
0.5011598467826843,
0.4323452115058899,
0.5447364449501038,
0.4737447500228882,
0.5481305122375488,
0.4762325882911682,
0.5101842880249023,
0.5988056063652039,
0.44266176223754883,
0.40886592864990234,
0.6400436758995056,
0.438034325838089,
0.5590682625770569,
0.4708550274372101,
0.46810251474380493,
0.6168805360794067,
0.5336835384368896,
0.5423605442047119,
0.4482799172401428,
0.42961978912353516,
0.4679327607154846,
0.4694509208202362,
0.5867534875869751,
0.5117874145507812,
0.44838088750839233
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
The Rise of the Sharing Economy : Estimating the Impact of Airbnb on the Hotel Industry | [
"Ride On ! Mobility Business Models for the Sharing Economy",
"Towards an Understanding of Business Intelligence",
"Do Airbnb properties affect house prices ?",
"Racial Discrimination in the Sharing Economy : Evidence from a Field Experiment",
"A Muddle of Models of Motivation for Using Peer-to-Peer Economy Systems",
"CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM",
"Graphene-based nano-antennas for electromagnetic nanocommunications in the terahertz band",
"Brain Computer Interfaces, a Review",
"Speech and Language Processing An Introduction to Natural Language Processing , Computational Linguistics , and Speech Recognition Second Edition",
"Software Reliability Modeling",
"Composing Relationships with Translations",
"Fixed Dose Combination of Magaldrate Plus Domperidone Is More Effective than Domperidone Alone in the Treatment of Patients with Gastroesophageal Reflux Symptoms: A Randomized Double-Blind Study",
"A Retrieve-and-Edit Framework for Predicting Structured Outputs",
"Filter Design and Performance Evaluation for Fingerprint Image Segmentation",
"Semantic Parsing on Freebase from Question-Answer Pairs",
"Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis",
"Chitin-mediated changes in bacterial communities of the soil, rhizosphere and within roots of cotton in relation to nematode control",
"Gender and the Use of Exclamation Points in Computer-Mediated Communication: An Analysis of Exclamations Posted to Two Electronic Discussion Lists",
"Collaborative Multi-Level Embedding Learning from Reviews for Rating Prediction",
"A Method for Refocusing Photos using Depth from Defocus",
"Prevalence of Stunting and Associated Factors among School Age Children in Primary Schools of Haik Town, South Wollo Zone, North- Eastern Ethiopia, 2017",
"Supply Chain Contract Evolution",
"Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology",
"Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering",
"Ensemble Learning for Named Entity Recognition",
"A Beam-Search Decoder for Grammatical Error Correction",
"Online Ranking Prediction in Non-stationary Environments",
"Neuroscience-Inspired Artificial Intelligence",
"TURNOVER CONTAGION : HOW COWORKERS ’ JOB EMBEDDEDNESS AND JOB SEARCH BEHAVIORS INFLUENCE QUITTING",
"Understanding Information Systems Continuance: An Expectation-Confirmation Model"
] | [
0.8823016881942749,
0.8398575782775879,
0.869921088218689,
0.878488302230835,
0.8560254573822021,
0.76689612865448,
0.775958776473999,
0.7986527681350708,
0.8083577156066895,
0.7962714433670044,
0.8013138771057129,
0.7940021753311157,
0.7957109212875366,
0.7863159775733948,
0.7924971580505371,
0.7816156148910522,
0.7810729146003723,
0.8150277137756348,
0.813165545463562,
0.7775264978408813,
0.7996194958686829,
0.803399920463562,
0.8116246461868286,
0.8103834986686707,
0.7794498205184937,
0.7839287519454956,
0.8251758813858032,
0.7824753522872925,
0.8301974534988403,
0.8214241862297058
] | [
0.8593558073043823,
0.8236924409866333,
0.8614819049835205,
0.8588848114013672,
0.8120282292366028,
0.7701082229614258,
0.7442232370376587,
0.7751237750053406,
0.7955482006072998,
0.787259042263031,
0.7824403047561646,
0.7654721736907959,
0.7745894193649292,
0.7583343386650085,
0.7873676419258118,
0.7704627513885498,
0.7424260377883911,
0.780110239982605,
0.7994871139526367,
0.7801151275634766,
0.7732193470001221,
0.7860267162322998,
0.8007633686065674,
0.7795991897583008,
0.7635172605514526,
0.7727698087692261,
0.7823793888092041,
0.7873976230621338,
0.7969838380813599,
0.7958278656005859
] | [
0.8524792194366455,
0.7941420674324036,
0.8430467844009399,
0.8585405349731445,
0.7978847026824951,
0.744998574256897,
0.7346197962760925,
0.7538835406303406,
0.7883569002151489,
0.7788376212120056,
0.7400462627410889,
0.7294948697090149,
0.7917451858520508,
0.7501555681228638,
0.7449615001678467,
0.7550257444381714,
0.7436501383781433,
0.7567801475524902,
0.7873466610908508,
0.756814181804657,
0.7359366416931152,
0.7797720432281494,
0.7678351998329163,
0.7572269439697266,
0.7511947154998779,
0.7445780038833618,
0.7644323110580444,
0.7592717409133911,
0.7786866426467896,
0.7820620536804199
] | [
0.7754597663879395,
0.5061792135238647,
0.680303692817688,
0.7425663471221924,
0.6755877137184143,
0.3996928334236145,
0.4227563142776489,
0.4299866557121277,
0.48005813360214233,
0.42946597933769226,
0.43635863065719604,
0.40875381231307983,
0.46586737036705017,
0.34625378251075745,
0.3823745846748352,
0.4341643750667572,
0.3865521550178528,
0.49180400371551514,
0.5000072717666626,
0.40374255180358887,
0.3901839256286621,
0.5309749841690063,
0.4121192693710327,
0.34170180559158325,
0.42043977975845337,
0.39827418327331543,
0.5355547666549683,
0.40622591972351074,
0.5484896898269653,
0.564010500907898
] | [
0.7011476755142212,
0.3480912148952484,
0.6624179482460022,
0.6674813032150269,
0.554852306842804,
0.23206466436386108,
0.2403983771800995,
0.2492350935935974,
0.29972511529922485,
0.2507551312446594,
0.28603044152259827,
0.2620716392993927,
0.3096599280834198,
0.14831335842609406,
0.242792546749115,
0.2778083086013794,
0.2106206864118576,
0.3225809633731842,
0.36410844326019287,
0.24979564547538757,
0.22151505947113037,
0.39704716205596924,
0.22292548418045044,
0.161318838596344,
0.2587737441062927,
0.23797878623008728,
0.4031493067741394,
0.2192860096693039,
0.35535895824432373,
0.39774754643440247
] | [
0.7886953353881836,
0.5453592538833618,
0.6404133439064026,
0.7601205110549927,
0.6977256536483765,
0.4351956248283386,
0.45017820596694946,
0.4654572904109955,
0.5119921565055847,
0.46725714206695557,
0.4690283536911011,
0.43164902925491333,
0.5009726285934448,
0.3854101002216339,
0.41781288385391235,
0.4634186029434204,
0.4169442057609558,
0.5270876884460449,
0.5191437005996704,
0.4408927261829376,
0.427199125289917,
0.5595715045928955,
0.4520905613899231,
0.363935649394989,
0.4474357068538666,
0.4274672865867615,
0.5640900135040283,
0.4463602304458618,
0.5711204409599304,
0.5953809022903442
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Easy-First Dependency Parsing with Hierarchical Tree LSTMs | [
"LSTM Hypertagging",
"Transfer Learning and Sentence Level Features for Named Entity Recognition on Tweets",
"Attention-based Semantic Priming for Slot-filling",
"Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks",
"RNN Simulations of Grammaticality Judgments on Long-distance Dependencies",
"Research using qualitative, quantitative or mixed methods and choice based on the research.",
"Writing for publication: the basics.",
"The habitual consumer",
"The structure and dynamics of multilayer networks",
"Too proud to let go: narcissistic entitlement as a barrier to forgiveness.",
"Post-stroke depression: relationships to functional impairment, coping strategies, and rehabilitation outcome.",
"A Preliminary Investigation of a Specialized Music Therapy Model for Children with Disabilities Delivered in a Classroom Setting",
"Results of m-polar Fuzzy Graphs with Application",
"Inflammation: gearing the journey to cancer.",
"Plasmons in Graphene: Fundamental Properties and Potential Applications",
"K-means Document Clustering Based on Latent Dirichlet Allocation",
"Ubiquitous Computing: Smart Devices, Environments and Interactions",
"Gender identity and lexical variation in social media",
"Analyzing modular CNN architectures for joint depth prediction and semantic segmentation",
"Feature Selection and Weighting Methods in Sentiment Analysis",
"A survey of context data distribution for mobile ubiquitous systems",
"Relative expression of genes of menthol biosynthesis pathway in peppermint (Mentha piperita L.) after chitosan, gibberellic acid and methyl jasmonate treatments",
"EmotionMeter: A Multimodal Framework for Recognizing Human Emotions",
"Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering",
"Robust Monte Carlo localization for mobile robots",
"Automatic Transcription of Flamenco Singing From Polyphonic Music Recordings",
"Selected major risk factors and global and regional burden of disease",
"DNA extraction and quantitation of forensic samples using the phenol-chloroform method and real-time PCR.",
"Defending the morality of violent video games",
"VizWiz: nearly real-time answers to visual questions"
] | [
0.8622422814369202,
0.8409713506698608,
0.8434044122695923,
0.86279296875,
0.8697892427444458,
0.7692104578018188,
0.8107906579971313,
0.7860305905342102,
0.8053430318832397,
0.7995700836181641,
0.78597092628479,
0.7947512269020081,
0.8046566247940063,
0.7940737009048462,
0.7940711379051208,
0.8391715288162231,
0.7948408126831055,
0.8028996586799622,
0.8360105156898499,
0.8107757568359375,
0.8330810070037842,
0.7924442887306213,
0.8282318711280823,
0.822541356086731,
0.8056899309158325,
0.8343324661254883,
0.7858925461769104,
0.7991896867752075,
0.7717021107673645,
0.816178560256958
] | [
0.8431048393249512,
0.8151423931121826,
0.8177748918533325,
0.8253973126411438,
0.8295671343803406,
0.747704029083252,
0.7614243030548096,
0.7485455274581909,
0.7899422645568848,
0.7674750089645386,
0.7561535835266113,
0.7587118744850159,
0.7925013303756714,
0.754146933555603,
0.7726321220397949,
0.7929229736328125,
0.7637431621551514,
0.7897074222564697,
0.8075594902038574,
0.7825451493263245,
0.7777847051620483,
0.736379861831665,
0.7624593377113342,
0.7942181825637817,
0.7742245197296143,
0.7900060415267944,
0.7613211870193481,
0.774738073348999,
0.7534286975860596,
0.7960728406906128
] | [
0.8488694429397583,
0.8135154247283936,
0.8129801750183105,
0.8499463796615601,
0.8450556397438049,
0.7508239150047302,
0.7897796630859375,
0.751101016998291,
0.7813339233398438,
0.7791171073913574,
0.7585780024528503,
0.7428093552589417,
0.7658320665359497,
0.7568225860595703,
0.7443437576293945,
0.7918775677680969,
0.7681162357330322,
0.7712936401367188,
0.8139798641204834,
0.759779691696167,
0.753394365310669,
0.7414970993995667,
0.7930251359939575,
0.7969346046447754,
0.7632085084915161,
0.7866543531417847,
0.7729798555374146,
0.7849830389022827,
0.7578150033950806,
0.8059102892875671
] | [
0.7754988074302673,
0.6871610283851624,
0.6266969442367554,
0.7617214322090149,
0.7627298831939697,
0.40012699365615845,
0.36144548654556274,
0.4018684923648834,
0.5557141304016113,
0.4014744460582733,
0.4251370429992676,
0.4176814556121826,
0.5027803182601929,
0.38258612155914307,
0.3463306128978729,
0.5286679267883301,
0.43200886249542236,
0.5076727867126465,
0.5813443660736084,
0.5550161600112915,
0.48650339245796204,
0.3667752146720886,
0.5955080986022949,
0.6084094047546387,
0.4614996016025543,
0.531798243522644,
0.45365792512893677,
0.4074292778968811,
0.2831113934516907,
0.5538337230682373
] | [
0.726526141166687,
0.6134524345397949,
0.5164480805397034,
0.7011562585830688,
0.6948449611663818,
0.25730085372924805,
0.23630556464195251,
0.30336993932724,
0.39849990606307983,
0.2717393636703491,
0.2548326253890991,
0.2535107135772705,
0.3437873125076294,
0.2222905457019806,
0.18566861748695374,
0.35861414670944214,
0.23066294193267822,
0.36949339509010315,
0.4811520576477051,
0.3985568583011627,
0.32798296213150024,
0.23223981261253357,
0.4481678009033203,
0.5136536359786987,
0.275410532951355,
0.38851144909858704,
0.32515764236450195,
0.24959993362426758,
0.16012251377105713,
0.41763749718666077
] | [
0.785934329032898,
0.6954155564308167,
0.6435663104057312,
0.7651578187942505,
0.7640056610107422,
0.38042113184928894,
0.40581977367401123,
0.45422065258026123,
0.5869573354721069,
0.42642828822135925,
0.4492839574813843,
0.4367436170578003,
0.5220140218734741,
0.41277092695236206,
0.370572954416275,
0.5457881689071655,
0.457364022731781,
0.5342105031013489,
0.5972728729248047,
0.5634931325912476,
0.5046169757843018,
0.3916078209877014,
0.6091963052749634,
0.6152268052101135,
0.4906063675880432,
0.5600029230117798,
0.4588440954685211,
0.43208152055740356,
0.35782143473625183,
0.5735321044921875
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Image Inpainting via Generative Multi-column Convolutional Neural Networks | [
"Adversarial Scene Editing: Automatic Object Removal from Weak Supervision",
"Deep Depth Completion of a Single RGB-D Image",
"Inpainting of Continuous Frames of Old Movies Based on Deep Neural Network",
"Automatic Semantic Content Removal by Learning to Neglect",
"Free-Form Image Inpainting with Gated Convolution",
"A 900MHz shielded bow-tie antenna system for ground penetrating radar",
"The GAN Landscape: Losses, Architectures, Regularization, and Normalization",
"Determinants of Customer Satisfaction in Fast Food Industry A Study of Fast Food Restaurants Peshawar Pakistan",
"An automated region-of-interest segmentation for optic disc extraction",
"Interaction Networks for Learning about Objects, Relations and Physics",
"Stable isotope labeling by amino acids in cell culture (SILAC).",
"Energy-Efficient UAV Communication With Trajectory Optimization",
"The Fake News Spreading Plague: Was it Preventable?",
"Aggregating Continuous Word Embeddings for Information Retrieval",
"Deviceless edge computing: extending serverless computing to the edge of the network",
"Gaze Teleportation in Virtual Reality",
"Undergraduate Signal Processing Laboratories for the Android Operating System",
"Emotionally-Relevant Features for Classification and Regression of Music Lyrics",
"Acetylcholinesterase and butyrylcholinesterase inhibition of ethanolic extract and monoterpenes from Pimpinella anisoides V Brig. (Apiaceae).",
"AutoDIAL: Automatic Domain Alignment Layers",
"Millimeter-Wave Shaped-Beam Substrate Integrated Conformal Array Antenna",
"Imaging cerebral atrophy: normal ageing to Alzheimer's disease",
"Non-specific low back pain",
"Study of Deep Learning Techniques for Side-Channel Analysis and Introduction to ASCAD Database",
"A Markerless Augmented Reality Approach Based on Real-Time 3 D Reconstruction using Kinect",
"Self-Correction of Commutation Point for High-Speed Sensorless BLDC Motor With Low Inductance and Nonideal Back EMF",
"Random Number Generators: Good Ones Are Hard to Find",
"Relation Networks for Object Detection",
"Automatic Content-Aware Color and Tone Stylization",
"How urban structure can affect city sustainability from an air quality perspective"
] | [
0.8466286659240723,
0.8440371751785278,
0.9057309031486511,
0.8351446390151978,
0.9093115329742432,
0.7950301766395569,
0.8502393960952759,
0.7633507251739502,
0.8189780116081238,
0.8233184814453125,
0.7882941365242004,
0.7918391227722168,
0.7745254039764404,
0.8141338229179382,
0.8076034784317017,
0.815413236618042,
0.8035978078842163,
0.8124752044677734,
0.7968852519989014,
0.823198676109314,
0.7903969287872314,
0.8066237568855286,
0.7670613527297974,
0.8284804224967957,
0.8368537425994873,
0.781550943851471,
0.798112154006958,
0.832848072052002,
0.8520137071609497,
0.7623246908187866
] | [
0.8017338514328003,
0.82297682762146,
0.8746508359909058,
0.7871674299240112,
0.8697417974472046,
0.7732371687889099,
0.8034961223602295,
0.7378982305526733,
0.7852566242218018,
0.784235954284668,
0.7797333002090454,
0.7639554738998413,
0.7662149667739868,
0.7514559030532837,
0.7635630369186401,
0.7789316177368164,
0.781977653503418,
0.7775835990905762,
0.7583699822425842,
0.7914807796478271,
0.7774950265884399,
0.7932007312774658,
0.7489367127418518,
0.8017067909240723,
0.7945706248283386,
0.7681431770324707,
0.764963686466217,
0.7865569591522217,
0.8167314529418945,
0.7495921850204468
] | [
0.8137943744659424,
0.8116154074668884,
0.8618881702423096,
0.774338960647583,
0.8763704299926758,
0.7606756091117859,
0.8098066449165344,
0.7174314260482788,
0.772659420967102,
0.7735310196876526,
0.7535978555679321,
0.7472223043441772,
0.761158287525177,
0.7667036056518555,
0.7694622278213501,
0.7909998893737793,
0.7668957114219666,
0.7645726799964905,
0.7342278957366943,
0.7962149977684021,
0.7449625730514526,
0.7788804173469543,
0.7461590766906738,
0.802666187286377,
0.7753809094429016,
0.7299796938896179,
0.7593671083450317,
0.7955862283706665,
0.7936652302742004,
0.7276430130004883
] | [
0.7167648673057556,
0.7165442705154419,
0.8206307888031006,
0.653731107711792,
0.8826155066490173,
0.4041374921798706,
0.7053849697113037,
0.3610365390777588,
0.567707896232605,
0.5345926284790039,
0.40380606055259705,
0.4092290997505188,
0.3834051489830017,
0.511130690574646,
0.4579290747642517,
0.4346497356891632,
0.5295507907867432,
0.48187628388404846,
0.308657169342041,
0.4725801348686218,
0.4043996334075928,
0.5271726846694946,
0.3583536744117737,
0.6166727542877197,
0.5587686896324158,
0.37520647048950195,
0.4593554735183716,
0.6137518286705017,
0.6337169408798218,
0.39724448323249817
] | [
0.6346311569213867,
0.6065526008605957,
0.7785546183586121,
0.5608713030815125,
0.8558958768844604,
0.26385319232940674,
0.6014158129692078,
0.22724957764148712,
0.4166063368320465,
0.40140342712402344,
0.2576296925544739,
0.24509096145629883,
0.23144017159938812,
0.37305471301078796,
0.310497522354126,
0.2654281258583069,
0.40645185112953186,
0.3240774869918823,
0.19780372083187103,
0.3418068289756775,
0.27468016743659973,
0.42101773619651794,
0.2739662826061249,
0.5104587078094482,
0.41136568784713745,
0.23686367273330688,
0.3365618586540222,
0.5040988326072693,
0.4860728681087494,
0.27653467655181885
] | [
0.7118254899978638,
0.7093368768692017,
0.8189614415168762,
0.6694583296775818,
0.8793095350265503,
0.4383028745651245,
0.706085205078125,
0.40038666129112244,
0.578124463558197,
0.5600146651268005,
0.43144986033439636,
0.43848279118537903,
0.43335455656051636,
0.5282891392707825,
0.4948771297931671,
0.46384745836257935,
0.5530171394348145,
0.5101975798606873,
0.3402354419231415,
0.5061219930648804,
0.4305042624473572,
0.5470203161239624,
0.4016762673854828,
0.6234986782073975,
0.5598942041397095,
0.4166693687438965,
0.51420658826828,
0.637262225151062,
0.6323286294937134,
0.4355149269104004
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
BabelNet: Building a Very Large Multilingual Semantic Network | [
"Using BabelNet to Improve OOV Coverage in SMT",
"What Computers Should Know, Shouldn't Know, and Shouldn't Believe",
"Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity",
"A Game-Theoretic Approach to Word Sense Disambiguation",
"Using linked disambiguated distributional networks for word sense disambiguation",
"SPARSE AND LOW-RANK MATRIX DECOMPOSITION VIA ALTERNATING DIRECTION METHODS",
"Large Scale GAN Training for High Fidelity Natural Image Synthesis",
"Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement",
"Learning Semantics-Guided Visual Attention for Few-Shot Image Classification",
"How Far are We from Solving Pedestrian Detection?",
"Effect of interactive metronome training on children with ADHD.",
"Cyber Threat Intelligence – Issue and Challenges",
"The Barriers to the Use of ICT in Teaching in Saudi Arabia : A Review of Literature",
"Genetic programs constructed from layered logic gates in single cells",
"A Short Executive Function Training Program Improves Preschoolers’ Working Memory",
"You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization",
"Pricing in Agent Economies Using Multi-Agent Q-Learning",
"Do humans have two systems to track beliefs and belief-like states?",
"Introduction to Algorithms, Second Edition",
"Semantic interoperability in the Internet of Things: An overview from the INTER-IoT perspective",
"Parental delay or refusal of vaccine doses, childhood vaccination coverage at 24 months of age, and the Health Belief Model.",
"Domain Adaptation with Adversarial Neural Networks and Auto-encoders",
"Joint Training of Generic CNN-CRF Models with Stochastic Optimization",
"Recurrent Convolutional Neural Networks for Discourse Compositionality",
"SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud",
"Quadrotor attitude determination: A comparison study",
"Face Recognition Using Gabor Filter And Convolutional Neural Network",
"Algebraic tensegrity form-finding",
"A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing",
"Efficient analytical fragility function fitting using dynamic structural analysis"
] | [
0.8772975206375122,
0.8272756934165955,
0.8675777316093445,
0.8350231647491455,
0.8730716705322266,
0.7833573222160339,
0.8537251949310303,
0.8770211935043335,
0.8490042686462402,
0.8106685876846313,
0.793644905090332,
0.7942721843719482,
0.7974957227706909,
0.8208924531936646,
0.792611837387085,
0.8411450386047363,
0.8247343301773071,
0.7896504402160645,
0.8218446969985962,
0.8678089380264282,
0.7584702968597412,
0.8422926068305969,
0.8282214403152466,
0.865008533000946,
0.8359503746032715,
0.7803391218185425,
0.8189185857772827,
0.8291821479797363,
0.8348561525344849,
0.8068591356277466
] | [
0.8620386719703674,
0.7749989628791809,
0.8272774815559387,
0.8021273612976074,
0.8267502784729004,
0.7542617321014404,
0.8359372615814209,
0.8254064321517944,
0.8040541410446167,
0.795635461807251,
0.752681314945221,
0.775219738483429,
0.7587651014328003,
0.7855507135391235,
0.760323166847229,
0.8015871644020081,
0.7843862771987915,
0.7662187814712524,
0.7848554849624634,
0.8120813369750977,
0.7565252780914307,
0.8102476596832275,
0.7944955825805664,
0.8211867809295654,
0.7860909700393677,
0.7516638040542603,
0.7868812680244446,
0.7949304580688477,
0.7977115511894226,
0.7647068500518799
] | [
0.8454204201698303,
0.7867998480796814,
0.8258141875267029,
0.797942578792572,
0.8259374499320984,
0.7408446073532104,
0.8010197877883911,
0.8218579888343811,
0.7961894869804382,
0.7858514785766602,
0.7541108131408691,
0.7540512084960938,
0.7599319219589233,
0.7933692932128906,
0.736128568649292,
0.778975784778595,
0.7720239162445068,
0.785860538482666,
0.7653155326843262,
0.8021573424339294,
0.7509232759475708,
0.7831854820251465,
0.7760701775550842,
0.8011060953140259,
0.7830013036727905,
0.7559058666229248,
0.7780627608299255,
0.796862006187439,
0.7989273071289062,
0.7650222778320312
] | [
0.6856824159622192,
0.4405418038368225,
0.7274008393287659,
0.6623015999794006,
0.7541674375534058,
0.4995979368686676,
0.5421713590621948,
0.7103683948516846,
0.6167259216308594,
0.4692190885543823,
0.3336503505706787,
0.43718039989471436,
0.38079482316970825,
0.4592929184436798,
0.4177108108997345,
0.5376831293106079,
0.47046545147895813,
0.46448078751564026,
0.5340405702590942,
0.6058499813079834,
0.37101608514785767,
0.6180620193481445,
0.6415450572967529,
0.6794508695602417,
0.5393840074539185,
0.4006447196006775,
0.5114010572433472,
0.44461506605148315,
0.48495471477508545,
0.3948677182197571
] | [
0.6370150446891785,
0.3324655592441559,
0.6418963670730591,
0.5626826286315918,
0.6824475526809692,
0.32020238041877747,
0.3836047649383545,
0.6281096339225769,
0.5040507316589355,
0.3650341033935547,
0.15993455052375793,
0.2667798399925232,
0.2089376598596573,
0.3034270703792572,
0.28415098786354065,
0.41248422861099243,
0.30399179458618164,
0.3721819818019867,
0.36261650919914246,
0.5104929804801941,
0.2412053346633911,
0.4613786041736603,
0.517220139503479,
0.5688095092773438,
0.4186868667602539,
0.2310950607061386,
0.36385971307754517,
0.28334566950798035,
0.3445347249507904,
0.25560134649276733
] | [
0.6960657238960266,
0.4971565008163452,
0.7324846386909485,
0.6707243323326111,
0.7505983114242554,
0.52393639087677,
0.5669745206832886,
0.7105686068534851,
0.6248575448989868,
0.5142229795455933,
0.36880120635032654,
0.4573017954826355,
0.40558549761772156,
0.489267498254776,
0.4405229091644287,
0.562462329864502,
0.4987713396549225,
0.4890003204345703,
0.5719584822654724,
0.6201988458633423,
0.4123765826225281,
0.625588595867157,
0.6594579219818115,
0.6825766563415527,
0.5577999353408813,
0.4265515208244324,
0.5393644571304321,
0.4706614315509796,
0.509872555732727,
0.4375675618648529
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
word2vec Parameter Learning Explained | [
"Turkish Natural Language Processing",
"Modeling Musical Context with Word2vec",
"A Recurrent Neural Network that Learns to Count",
"Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups",
"A voice-controlled personal assistant robot",
"Combining Word2Vec with Revised Vector Space Model for Better Code Retrieval",
"Petri Net Modeling of Cyber-Physical Attacks on Smart Grid",
"Effect of atorvastatin and irbesartan, alone and in combination, on postprandial endothelial dysfunction, oxidative stress, and inflammation in type 2 diabetic patients.",
"- Based Twitter User Geolocation Prediction",
"Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding",
"Regenerative endodontic treatment of perforated internal root resorption: a case report.",
"The influence of Pilates training on the ability to contract the Transversus Abdominis muscle in asymptomatic individuals",
"Audio Data Mining Using Multi-perceptron Artificial Neural Network",
"Transforming Models with ATL 1",
"Object recognition in images using convolutional neural network",
"Twenty-Five Years of Hydroinformatics",
"Systems of Logic Based on Ordinals",
"Evaluation of Mindful Sport Performance Enhancement ( MSPE ) : A New Approach to Promote Flow in Athletes",
"Decreased cortical representation of genital somatosensory field after childhood sexual abuse.",
"MedChatBot: An UMLS based Chatbot for Medical Students",
"Predicting Commercial Activeness over Urban Big Data",
"Cancer: a family at risk",
"Does Colorspace Transformation Make Any Difference on Skin Detection?",
"A New High-Efficiency Single-Phase Transformerless PV Inverter Topology",
"Greed is good: algorithmic results for sparse approximation",
"Towards a Better Metric for Evaluating Question Generation Systems",
"The Accuracy Comparison of Three Simultaneous Localization and Mapping (SLAM)-Based Indoor Mapping Technologies †",
"Psychometric properties of the Intrinsic Motivation Inventory in a competitive sport setting: a confirmatory factor analysis.",
"A Study on the Effects of Loneliness , Depression and Perceived Social Support on Problematic Internet Use among University Students"
] | [
0.8320918083190918,
0.892309308052063,
0.8642935752868652,
0.817430853843689,
0.817551851272583,
0.8765008449554443,
0.8100799322128296,
0.7889775037765503,
0.8394067883491516,
0.8347519636154175,
0.7552211284637451,
0.7793887853622437,
0.8044629096984863,
0.8255992531776428,
0.8203743100166321,
0.8163750171661377,
0.8198450207710266,
0.7786252498626709,
0.7672364711761475,
0.8251376748085022,
0.8082646727561951,
0.7638126611709595,
0.8018083572387695,
0.7816206812858582,
0.8239682912826538,
0.8200173377990723,
0.7962813377380371,
0.7877285480499268,
0.7774280905723572
] | [
0.8343021273612976,
0.8743975758552551,
0.8540866374969482,
0.8277179002761841,
0.8184961080551147,
0.8535146117210388,
0.7910704016685486,
0.7745681405067444,
0.83013916015625,
0.8211355209350586,
0.7720800638198853,
0.788728654384613,
0.8172478675842285,
0.8469040393829346,
0.8179188966751099,
0.8249534964561462,
0.805816113948822,
0.7839525938034058,
0.7802248001098633,
0.8037878274917603,
0.7805748581886292,
0.7764036655426025,
0.812538743019104,
0.761848509311676,
0.8241370916366577,
0.8137503862380981,
0.7876931428909302,
0.8035438060760498,
0.7750285863876343
] | [
0.8167181611061096,
0.8616553544998169,
0.8385651707649231,
0.8015749454498291,
0.8110755085945129,
0.8564286828041077,
0.7806569337844849,
0.7665514945983887,
0.8212857246398926,
0.7948428392410278,
0.743840217590332,
0.7596946954727173,
0.7673143148422241,
0.8025810122489929,
0.8024761080741882,
0.7843096256256104,
0.8120682239532471,
0.7549077272415161,
0.7712888717651367,
0.797200083732605,
0.7679893970489502,
0.7643970251083374,
0.772780179977417,
0.7469288110733032,
0.800355076789856,
0.7653041481971741,
0.7617249488830566,
0.7740506529808044,
0.760839581489563
] | [
0.6268278360366821,
0.7660872340202332,
0.63457190990448,
0.6751468181610107,
0.49488431215286255,
0.7178851366043091,
0.41575974225997925,
0.3601744472980499,
0.5199463367462158,
0.7061406373977661,
0.34501761198043823,
0.39688366651535034,
0.5792722702026367,
0.5991264581680298,
0.6058076620101929,
0.5119214057922363,
0.4896969497203827,
0.4348793625831604,
0.4304199814796448,
0.5179905891418457,
0.5525344014167786,
0.3922790288925171,
0.4571636915206909,
0.340620219707489,
0.6052610874176025,
0.601669430732727,
0.4274085760116577,
0.4522481858730316,
0.42635220289230347
] | [
0.5299955010414124,
0.7078050374984741,
0.5271974205970764,
0.572842001914978,
0.36154332756996155,
0.6704202890396118,
0.2825663089752197,
0.23449400067329407,
0.4177287220954895,
0.6056586503982544,
0.23502102494239807,
0.2736629247665405,
0.4699597954750061,
0.46966496109962463,
0.46945077180862427,
0.4101639986038208,
0.34493717551231384,
0.3133629560470581,
0.2783776521682739,
0.38839688897132874,
0.427368700504303,
0.26555389165878296,
0.34050121903419495,
0.23111523687839508,
0.48119044303894043,
0.5325438976287842,
0.2631586492061615,
0.31335386633872986,
0.296769917011261
] | [
0.6389715671539307,
0.7747656106948853,
0.6572668552398682,
0.6870464086532593,
0.525534987449646,
0.7267722487449646,
0.46122869849205017,
0.37885940074920654,
0.5467323660850525,
0.7085220813751221,
0.3732648491859436,
0.42854857444763184,
0.5968070030212402,
0.6232695579528809,
0.6213408708572388,
0.5572107434272766,
0.5377612113952637,
0.45521676540374756,
0.45868390798568726,
0.5455597639083862,
0.5713789463043213,
0.43409162759780884,
0.4959745705127716,
0.38097089529037476,
0.6278272867202759,
0.6157116889953613,
0.46298760175704956,
0.47160518169403076,
0.4493469297885895
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
The use of instability to train the core musculature. | [
"Comparison of lumbar spine stabilization exercise versus general exercise in young male patients with lumbar disc herniation after 1 year of follow-up.",
"Six Weeks of Core Stability Training Improves Landing Kinetics Among Female Capoeira Athletes: A Pilot Study",
"Comparison of Elastic Resistance Band Exercises and Yoga in Physiotherapy Students with Chronic Non-Specific Low Back Pain: A Randomized Clinical Trial",
"Effect of core strengthening with pelvic proprioceptive neuromuscular facilitation on trunk, balance, gait, and function in chronic stroke",
"Effect of Core Stabilizing Program on Balance in Spastic Diplegic Cerebral Palsy Children",
"Information systems in the public sector: The e-Government enactment framework",
"Genetic Algorithms: Theory and Applications",
"Depressed dopamine activity in caudate and preliminary evidence of limbic involvement in adults with attention-deficit/hyperactivity disorder.",
"Analysis of NB-IoT Deployment in LTE Guard-Band",
"Temporal construal effects on abstract and concrete thinking: consequences for insight and creative cognition.",
"Fast Policy Learning through Imitation and Reinforcement",
"Smart Initialization Yields Better Convergence Properties in Deep Abstractive Summarization",
"Generating Sequences With Recurrent Neural Networks",
"DISEASES: text mining and data integration of disease-gene associations.",
"Smart Health Monitoring Systems: An Overview of Design and Modeling",
"Supplementation of a Standardized Extract from Phyllanthus emblica Improves Cardiovascular Risk Factors and Platelet Aggregation in Overweight/Class-1 Obese Adults",
"Information-theoretic algorithm for feature selection",
"European Option Pricing with Stochastic Volatility models under Parameter Uncertainty",
"Learning Neural Templates for Text Generation",
"Determining the Effects of LMS Learning Behaviors on Academic Achievement in a Learning Analytic Perspective",
"Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning",
"Mining Frequent Patterns without Candidate Generation",
"Semantics-based Question Generation and Implementation",
"Human Pose Estimation",
"Information and Communication Technologies in Education",
"Being a DevOps Developer",
"Spent Resources : Self-Regulatory Resource Availability Affects Impulse Buying",
"Survey of Wireless Indoor Positioning Techniques and Systems",
"Efficient analytical fragility function fitting using dynamic structural analysis"
] | [
0.8605256080627441,
0.8877315521240234,
0.8542220592498779,
0.8587221503257751,
0.8579639196395874,
0.7890775203704834,
0.8069698810577393,
0.8213757276535034,
0.7885884642601013,
0.8268507719039917,
0.8136298656463623,
0.8078938722610474,
0.8066829442977905,
0.8135454058647156,
0.7893430590629578,
0.7976014614105225,
0.8008284568786621,
0.7992645502090454,
0.8139525651931763,
0.8209332227706909,
0.8470864295959473,
0.8030240535736084,
0.7976586818695068,
0.8325419425964355,
0.8016623258590698,
0.7995814681053162,
0.8286652565002441,
0.7961931228637695,
0.8141623139381409
] | [
0.837245762348175,
0.84870445728302,
0.8148899078369141,
0.8284884691238403,
0.8370898962020874,
0.7833684086799622,
0.7950848340988159,
0.79793381690979,
0.7653734087944031,
0.80091792345047,
0.79099440574646,
0.7659434676170349,
0.7891023755073547,
0.8099256753921509,
0.7699006199836731,
0.7738661170005798,
0.7952827215194702,
0.7466871738433838,
0.7875673770904541,
0.7671123743057251,
0.7984012365341187,
0.7759884595870972,
0.7736581563949585,
0.8151247501373291,
0.7852739691734314,
0.8014481067657471,
0.7867294549942017,
0.7778641581535339,
0.8038930892944336
] | [
0.8346266150474548,
0.864484429359436,
0.8096734285354614,
0.8468810319900513,
0.8294536471366882,
0.7632133960723877,
0.7819489240646362,
0.7990572452545166,
0.7378313541412354,
0.8053473234176636,
0.7579552531242371,
0.7733404636383057,
0.7920831441879272,
0.8015756607055664,
0.7609771490097046,
0.7711108922958374,
0.7861734628677368,
0.7521613836288452,
0.7553870677947998,
0.7667599320411682,
0.793982744216919,
0.7641425728797913,
0.7510656118392944,
0.7909767627716064,
0.7689568996429443,
0.7921419143676758,
0.7895216345787048,
0.7571759223937988,
0.8020102977752686
] | [
0.721531867980957,
0.7844536900520325,
0.6615045666694641,
0.7279107570648193,
0.710102915763855,
0.39678192138671875,
0.45957595109939575,
0.42123591899871826,
0.3994479775428772,
0.4568254053592682,
0.506783127784729,
0.4692273736000061,
0.44950175285339355,
0.43071550130844116,
0.45041024684906006,
0.45870938897132874,
0.4157955050468445,
0.36543649435043335,
0.4204445779323578,
0.4508858025074005,
0.47857773303985596,
0.4170263409614563,
0.4015578031539917,
0.502712070941925,
0.4144023656845093,
0.4080013036727905,
0.42125314474105835,
0.3997730314731598,
0.5090017318725586
] | [
0.6350443363189697,
0.7353951930999756,
0.5660326480865479,
0.6673734784126282,
0.6699026823043823,
0.2590959668159485,
0.336256742477417,
0.2593843638896942,
0.27731257677078247,
0.30660486221313477,
0.38015708327293396,
0.3268728256225586,
0.322324275970459,
0.27744436264038086,
0.3174300193786621,
0.3023098111152649,
0.26298707723617554,
0.23310363292694092,
0.295470654964447,
0.337457537651062,
0.3544401228427887,
0.2782703936100006,
0.2622964382171631,
0.41524434089660645,
0.2773682475090027,
0.30315059423446655,
0.2822892367839813,
0.2861059904098511,
0.4084075093269348
] | [
0.723953127861023,
0.790327787399292,
0.657719075679779,
0.730353057384491,
0.7241945266723633,
0.43961992859840393,
0.5075315237045288,
0.473823606967926,
0.4484330415725708,
0.5029257535934448,
0.5416491031646729,
0.49892550706863403,
0.4971889853477478,
0.4814656376838684,
0.4926205277442932,
0.49976837635040283,
0.472877562046051,
0.4164641499519348,
0.46895116567611694,
0.4892714321613312,
0.5335334539413452,
0.47515904903411865,
0.4485778212547302,
0.5474291443824768,
0.46573835611343384,
0.41624534130096436,
0.470558226108551,
0.4565203785896301,
0.5507488250732422
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Application of Data Mining for Enterprise Digital Marketing Strategy Making | [
"Investigation into Big Data Impact on Digital Marketing",
"The new threat of digital marketing.",
"Performance-based Pricing Models in Online Advertising : Cost per Click versus Cost per Action",
"Leveraging “ big data ” to optimize digital marketing",
"Marketing to physicians in a digital world.",
"EMPHASIS: An Emotional Phoneme-based Acoustic Model for Speech Synthesis System",
"Genesis: cluster analysis of microarray data",
"Bipolar Fuzzy Trees",
"Permacoin: Repurposing Bitcoin Work for Data Preservation",
"Attacking convolutional neural network using differential evolution",
"Interpreting Deep Classification Models With Bayesian Inference",
"Demographic Inference on Twitter using Recursive Neural Networks",
"DISCUSSION PAPER SERIES BASICS OF LEVY PROCESSES",
"Auxiliary Guided Autoregressive Variational Autoencoders",
"Enterprise architecture management and its role in corporate strategic management",
"3D hand tracking using Kalman filter in depth space",
"Data-driven modeling for boiling heat transfer: using deep neural networks and high-fidelity simulation results",
"A Co-Matching Model for Multi-choice Reading Comprehension",
"A Taxonomy and Future Directions for Sustainable Cloud Computing: 360 Degree View",
"Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis",
"Filtering for Texture Classification: A Comparative Study",
"Heterogeneous Graph Neural Networks for Malicious Account Detection",
"Botta: An Arabic Dialect Chatbot",
"Intelligent Resource Management in Blockchain-Based Cloud Datacenters",
"A Taxonomy of Replay Attacks",
"Evaluation and Prediction of Evoked Emotions Induced by Image Manipulations",
"Evaluating and Optimizing OpenCL Kernels for High Performance Computing with FPGAs",
"Internet of things security: challenges and perspectives",
"Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis",
"FinFET Circuit Design"
] | [
0.8958560228347778,
0.8550271987915039,
0.8304237723350525,
0.8733096122741699,
0.8567953109741211,
0.7885812520980835,
0.8115884065628052,
0.7679470777511597,
0.8022359609603882,
0.8001062870025635,
0.8183796405792236,
0.832272469997406,
0.7842012643814087,
0.7878556251525879,
0.8610836267471313,
0.7932952642440796,
0.8150334358215332,
0.7979903221130371,
0.8243891596794128,
0.8123807907104492,
0.8005467057228088,
0.7946954965591431,
0.7909167408943176,
0.818960428237915,
0.7852957248687744,
0.7862499952316284,
0.7919049263000488,
0.8039405345916748,
0.7938076257705688,
0.7592948079109192
] | [
0.8628472089767456,
0.8244296312332153,
0.8026041388511658,
0.8497461080551147,
0.8142285943031311,
0.7564889788627625,
0.8134936094284058,
0.7608504295349121,
0.7840879559516907,
0.7872781753540039,
0.7798560857772827,
0.7984514832496643,
0.777839183807373,
0.7664890885353088,
0.8407555222511292,
0.7547240257263184,
0.782966673374176,
0.7881180047988892,
0.7875152826309204,
0.7857123613357544,
0.7924852967262268,
0.7941318154335022,
0.7831178903579712,
0.801593542098999,
0.7773503065109253,
0.7807555198669434,
0.7726519107818604,
0.774050235748291,
0.7693154811859131,
0.7397721409797668
] | [
0.8513451814651489,
0.8171207308769226,
0.7863410115242004,
0.8412339687347412,
0.8141720294952393,
0.7726640701293945,
0.7776999473571777,
0.7744227647781372,
0.7803723812103271,
0.7865376472473145,
0.786495566368103,
0.7618480920791626,
0.7562565803527832,
0.7564268708229065,
0.8358083963394165,
0.7648195624351501,
0.7776111960411072,
0.783666729927063,
0.7796855568885803,
0.7706815004348755,
0.7830333709716797,
0.7680051326751709,
0.7532755136489868,
0.7893229722976685,
0.7792591452598572,
0.7728492617607117,
0.7343355417251587,
0.7724049687385559,
0.7523367404937744,
0.7461953163146973
] | [
0.7443296909332275,
0.6189783811569214,
0.5986770391464233,
0.7746514678001404,
0.5965651273727417,
0.4231153726577759,
0.5774644613265991,
0.5237094759941101,
0.45891791582107544,
0.4919798970222473,
0.5139897465705872,
0.5787162780761719,
0.4522642195224762,
0.4116079807281494,
0.627122163772583,
0.37647032737731934,
0.46939390897750854,
0.4610660970211029,
0.4756769835948944,
0.4799055755138397,
0.4740728437900543,
0.5338468551635742,
0.4095223844051361,
0.43780267238616943,
0.4532351791858673,
0.4569096565246582,
0.34055936336517334,
0.43974417448043823,
0.3850651979446411,
0.38374167680740356
] | [
0.7050056457519531,
0.5900973081588745,
0.49362874031066895,
0.7370648384094238,
0.518532931804657,
0.2624724507331848,
0.4605131447315216,
0.39344701170921326,
0.2882460653781891,
0.3834797739982605,
0.36762765049934387,
0.44801780581474304,
0.29769328236579895,
0.26462864875793457,
0.5162178874015808,
0.21762844920158386,
0.3205164670944214,
0.3052801489830017,
0.34044188261032104,
0.34072697162628174,
0.3284798264503479,
0.40628767013549805,
0.23495838046073914,
0.266560435295105,
0.29279810190200806,
0.3163847029209137,
0.18296104669570923,
0.2861764430999756,
0.24546603858470917,
0.1999480128288269
] | [
0.7454198598861694,
0.6391012668609619,
0.60996413230896,
0.7781615257263184,
0.6201608180999756,
0.45416566729545593,
0.5878301858901978,
0.53441321849823,
0.48700621724128723,
0.505590558052063,
0.5181031227111816,
0.5817610025405884,
0.4749099612236023,
0.4417110085487366,
0.6425080299377441,
0.4031723141670227,
0.4962657392024994,
0.4791072905063629,
0.4961014986038208,
0.4998165965080261,
0.4944213032722473,
0.5404217839241028,
0.4314562678337097,
0.4613158702850342,
0.4822161793708801,
0.4850921630859375,
0.3736281394958496,
0.45675286650657654,
0.4096115231513977,
0.4216294586658478
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Sample Efficient Actor-Critic with Experience Replay | [
"Bridging the Gap Between Value and Policy Based Reinforcement Learning",
"Learning Hierarchical Information Flow with Recurrent Neural Modules",
"A Distributional Perspective on Reinforcement Learning",
"Combining the benefits of function approximation and trajectory optimization",
"One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay",
"UnrealCV: Virtual Worlds for Computer Vision",
"Zero-Resource Neural Machine Translation with Multi-Agent Communication Game",
"Quantum deep learning",
"Towards Order of Processing Operations Detection in JPEG-compressed Images with Convolutional Neural Networks",
"Anomaly detection in online social networks",
"Focused Hierarchical RNNs for Conditional Sequence Processing",
"Image Steganography Using LSB and Edge – Detection Technique",
"Determinants of consumer engagement in electronic word-of-mouth ( eWOM ) in social networking sites",
"Recent advances on the development of magnesium alloys for biodegradable implants.",
"Erratum : Social Media and Fake News in the 2016 Election",
"Deep Neural Networks for Generating Music",
"Regularization Theory and Neural Networks",
"Query Optimization over Crowdsourced Data",
"Web-Application Development Using the Model/View/Controller Design Pattern",
"CLIMATE CHANGE, HURRICANES AND TROPICAL STORMS, AND RISING SEA LEVEL IN COASTAL WETLANDS",
"Estimation of human body shape and cloth field in front of a kinect",
"The inverted microscope method of estimating algal numbers and the statistical basis of estimations by counting",
"UNNA: A Unified Neural Network for Aesthetic Assessment",
"An Analysis of the Accuracy of Bluetooth Low Energy for Indoor Positioning Applications",
"Independent examination of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV): what does the WAIS-IV measure?",
"Privacy Concerns Versus Desire for Interpersonal Awareness in Driving the Use of Self-Disclosure Technologies: The Case of Instant Messaging in Two Cultures",
"Fuzzy Darwinian Detection of Credit Card Fraud",
"MIDA: Multiple Imputation Using Denoising Autoencoders",
"Research on online payment mode of e-commerce",
"Biometric cryptosystem based on discretized fingerprint texture descriptors"
] | [
0.8347883224487305,
0.8245221376419067,
0.8325085639953613,
0.8300977945327759,
0.8590896725654602,
0.8297934532165527,
0.83729088306427,
0.8141980767250061,
0.7852489948272705,
0.7987169027328491,
0.8097032308578491,
0.7827016115188599,
0.8017622232437134,
0.7913241386413574,
0.8103185892105103,
0.8063244223594666,
0.7970656156539917,
0.8278045654296875,
0.8030583262443542,
0.7746376395225525,
0.8152932524681091,
0.7992022037506104,
0.8184822201728821,
0.8043602108955383,
0.8168021440505981,
0.7876968383789062,
0.81812584400177,
0.8201723694801331,
0.7951978445053101,
0.80264812707901
] | [
0.8180540800094604,
0.8000657558441162,
0.8108557462692261,
0.8118875026702881,
0.8340135812759399,
0.7851990461349487,
0.8007331490516663,
0.8096187114715576,
0.780089259147644,
0.7708852291107178,
0.7816811800003052,
0.791968047618866,
0.7502568364143372,
0.7638535499572754,
0.7700850963592529,
0.7953484654426575,
0.7966479063034058,
0.8053559064865112,
0.7813678979873657,
0.7603147029876709,
0.8031189441680908,
0.7668921947479248,
0.7799258828163147,
0.7661911249160767,
0.7861790060997009,
0.7593364715576172,
0.8010921478271484,
0.8057887554168701,
0.7806510329246521,
0.7660083770751953
] | [
0.7915157079696655,
0.805152416229248,
0.7997410297393799,
0.8005340695381165,
0.8180834054946899,
0.771796464920044,
0.8170104622840881,
0.7965058088302612,
0.7724127769470215,
0.7661806344985962,
0.7845929861068726,
0.7657905220985413,
0.7554378509521484,
0.7397531867027283,
0.777245044708252,
0.7707737684249878,
0.7926973104476929,
0.7790651321411133,
0.779498815536499,
0.7443216443061829,
0.7852510213851929,
0.76702880859375,
0.7719765305519104,
0.7514631152153015,
0.7809584736824036,
0.7633476853370667,
0.8000874519348145,
0.8010486960411072,
0.7606338262557983,
0.7700976133346558
] | [
0.7334020137786865,
0.6148678064346313,
0.6897324323654175,
0.6585221886634827,
0.7854333519935608,
0.5891194343566895,
0.6207501888275146,
0.5668829679489136,
0.4896742105484009,
0.46371638774871826,
0.5662248134613037,
0.370972216129303,
0.40551936626434326,
0.33275604248046875,
0.4104795753955841,
0.5505104064941406,
0.5506943464279175,
0.5024963617324829,
0.5512762069702148,
0.34543341398239136,
0.5264849662780762,
0.3984720706939697,
0.5462086796760559,
0.3730488419532776,
0.4239700138568878,
0.43401122093200684,
0.4793710708618164,
0.5352808237075806,
0.4211677014827728,
0.4156270921230316
] | [
0.6662453413009644,
0.4785909056663513,
0.5986887812614441,
0.5258551836013794,
0.7308973670005798,
0.47416484355926514,
0.5022433400154114,
0.4197889268398285,
0.3413190245628357,
0.2533283829689026,
0.4405984878540039,
0.20524141192436218,
0.22500047087669373,
0.20084840059280396,
0.25929397344589233,
0.4207600951194763,
0.4061221480369568,
0.3107689619064331,
0.40352171659469604,
0.19195455312728882,
0.37289273738861084,
0.2314120978116989,
0.39301571249961853,
0.22430655360221863,
0.2993178367614746,
0.2457250952720642,
0.2858657240867615,
0.4135252833366394,
0.24368363618850708,
0.2721245288848877
] | [
0.7353660464286804,
0.6255704164505005,
0.6998550891876221,
0.6714362502098083,
0.7804079055786133,
0.6047708988189697,
0.6334003806114197,
0.5885845422744751,
0.5167944431304932,
0.49702754616737366,
0.5820104479789734,
0.4162587523460388,
0.4347054958343506,
0.3573540449142456,
0.46443304419517517,
0.578501284122467,
0.578465461730957,
0.536629319190979,
0.5738057494163513,
0.3871130645275116,
0.5406335592269897,
0.43567609786987305,
0.5642686486244202,
0.4138168692588806,
0.45741090178489685,
0.45832759141921997,
0.4987468719482422,
0.553528904914856,
0.4406639039516449,
0.45176708698272705
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Gendered Media : The Influence of Media on Views of Gender | [
"Advertising and the role of gender A study of Sweden",
"A Critical Discourse Analysis of how powerful businesswomen are portrayed in The Economist online",
"A Critical Discourse Analysis of Women ’ s Portrayal in News Reporting of Sexual Violence",
"Tracking onscreen gender and role bias over time",
"Men ’ s Behavior Toward Women After Viewing Sexually-Explicit Films : Degradation Makes a Difference",
"Awe the Audience: How the Narrative Trajectories Affect Audience Perception in Public Speaking",
"500+ Times Faster than Deep Learning: (A Case Study Exploring Faster Methods for Text Mining StackOverflow)",
"Decoding Optimization for 5G LDPC Codes by Machine Learning",
"Combining Numerous Uncorrelated MEMS Gyroscopes for Accuracy Improvement Based on an Optimal Kalman Filter",
"Complementary and alternative treatments for late-life depression, anxiety, and sleep disturbance: a review of randomized controlled trials.",
"XGBoost : Reliable Large-scale Tree Boosting System",
"Number Sense and Dyscalculia 1 To appear in : Human Behavior , Learning , and the Developing Brain : Atypical Development",
"Boosting automatic event extraction from the literature using domain adaptation and coreference resolution",
"A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks",
"Learning to Paraphrase for Question Answering",
"Why Does the Neocortex Have Layers and Columns, A Theory of Learning the 3D Structure of the World",
"Efficient Second-Order Gradient Boosting for Conditional Random Fields",
"Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation",
"Security lapses and the omission of information security measures: A threat control model and empirical test",
"A Planarity Test via Construction Sequences",
"On the implementation of an efficient FPGA-based CFAR processor for target detection",
"Integration of Relational and NoSQL Databases",
"Supply chain management : theory , practice and future challenges",
"USSD: The Third Universal App",
"SEE: Syntax-Aware Entity Embedding for Neural Relation Extraction",
"Tests enhance the transfer of learning.",
"An Efficient Brain Tumor Detection Algorithm Using Watershed & Thresholding Based Segmentation",
"Risk of Intracranial Hemorrhage in Ground-level Fall With Antiplatelet or Anticoagulant Agents.",
"Neurophysiological architecture of functional magnetic resonance images of human brain."
] | [
0.8801021575927734,
0.8391415476799011,
0.8600776791572571,
0.8650277853012085,
0.8517455458641052,
0.8406293988227844,
0.8079572916030884,
0.7717815041542053,
0.7518286108970642,
0.7726002931594849,
0.7819023132324219,
0.7917447090148926,
0.7958524227142334,
0.7717678546905518,
0.8003218173980713,
0.7862606048583984,
0.7577946186065674,
0.7737342119216919,
0.7793853282928467,
0.7627883553504944,
0.7284843325614929,
0.7797105312347412,
0.7766700387001038,
0.7867256999015808,
0.7891780138015747,
0.7803800106048584,
0.7731102705001831,
0.7592041492462158,
0.7947016954421997
] | [
0.861697256565094,
0.8105095028877258,
0.8448848128318787,
0.8372111320495605,
0.8325077891349792,
0.8039349317550659,
0.7810881733894348,
0.7511389255523682,
0.7403531074523926,
0.7736102342605591,
0.7621140480041504,
0.769795298576355,
0.751642107963562,
0.7726738452911377,
0.7811185121536255,
0.8018718957901001,
0.7430101633071899,
0.7415687441825867,
0.7661709189414978,
0.7773036956787109,
0.731330394744873,
0.7859228849411011,
0.7580579519271851,
0.7697206735610962,
0.7676577568054199,
0.7618305087089539,
0.7622561454772949,
0.7605394721031189,
0.7904531955718994
] | [
0.8262545466423035,
0.792802095413208,
0.804554283618927,
0.824341356754303,
0.808445155620575,
0.7705663442611694,
0.7600422501564026,
0.7413361668586731,
0.722152829170227,
0.7634457349777222,
0.7584008574485779,
0.7604241371154785,
0.7463386058807373,
0.7483466267585754,
0.7512856721878052,
0.776150107383728,
0.7367632389068604,
0.722875714302063,
0.7500277757644653,
0.7561323642730713,
0.7238335013389587,
0.7555171847343445,
0.738690972328186,
0.7544691562652588,
0.7702502012252808,
0.7359765768051147,
0.7434141635894775,
0.7325154542922974,
0.772087812423706
] | [
0.7797806262969971,
0.7083686590194702,
0.7473452091217041,
0.7725353837013245,
0.6555092334747314,
0.6604187488555908,
0.4627452492713928,
0.3795175552368164,
0.3511531949043274,
0.48719698190689087,
0.4525715112686157,
0.46642065048217773,
0.49457868933677673,
0.45128023624420166,
0.4211117625236511,
0.4760390520095825,
0.4653485417366028,
0.38501083850860596,
0.482793927192688,
0.40875044465065,
0.36268168687820435,
0.43792515993118286,
0.4507352113723755,
0.46547311544418335,
0.40951746702194214,
0.4896513819694519,
0.41220560669898987,
0.3295499384403229,
0.454900324344635
] | [
0.7087736129760742,
0.6289990544319153,
0.6679530739784241,
0.7172513604164124,
0.5330474376678467,
0.5457344055175781,
0.3182554244995117,
0.21026009321212769,
0.17507904767990112,
0.2730140686035156,
0.3093748986721039,
0.2877456247806549,
0.35951992869377136,
0.28551018238067627,
0.23389267921447754,
0.30466365814208984,
0.31009215116500854,
0.24455374479293823,
0.29367977380752563,
0.23198352754116058,
0.18348906934261322,
0.2537684142589569,
0.24573791027069092,
0.2807677388191223,
0.2558877170085907,
0.3195655941963196,
0.22990299761295319,
0.1554270088672638,
0.27357059717178345
] | [
0.7891438007354736,
0.7169451117515564,
0.7375448942184448,
0.7681179046630859,
0.6737926006317139,
0.6630703210830688,
0.4917333424091339,
0.40873783826828003,
0.37892425060272217,
0.508752167224884,
0.4838809370994568,
0.48781493306159973,
0.514329731464386,
0.48073792457580566,
0.4403989017009735,
0.5099173784255981,
0.49191170930862427,
0.42609497904777527,
0.519929051399231,
0.4516785442829132,
0.4030745029449463,
0.4609317183494568,
0.4741436839103699,
0.5165359973907471,
0.4369654953479767,
0.5377607345581055,
0.4458879828453064,
0.359573632478714,
0.48317551612854004
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Word Translation Without Parallel Data | [
"On the Limitations of Unsupervised Bilingual Dictionary Induction",
"Unsupervised Machine Translation Using Monolingual Corpora Only",
"A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings",
"Face Recognition via Centralized Coordinate Learning",
"VGGFace2: A Dataset for Recognising Faces across Pose and Age",
"Auto-Encoding Variational Neural Machine Translation",
"DIKIW : Data , Information , Knowledge , Intelligence , Wisdom and their Interrelationships",
"Informed Haar-Like Features Improve Pedestrian Detection",
"Deep Convolutional Neural Network for Image Deconvolution",
"Big Data Analysis with Signal Processing on Graphs: Representation and processing of massive data sets with irregular structure",
"Tables as Semi-structured Knowledge for Question Answering",
"Interpretative case studies on agile team productivity and management",
"Factor in the neighbors: Scalable and accurate collaborative filtering",
"Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping",
"Motor patterns in human walking and running.",
"A review of level-set methods and some recent applications",
"LOGISTICS-PRODUCTION , LOGISTICS-MARKETING AND EXTERNAL INTEGRATION : THEIR IMPACT ON PERFORMANCE",
"First feeding of freshwater fish larvae with live feed versus compound diets: a meta-analysis",
"Scheduling Fault Tolerant Cloud Applications using Component Ranking",
"Execution-Guided Neural Program Decoding",
"Live Metric 3D Reconstruction on Mobile Phones",
"Ten-year research update review: child sexual abuse.",
"What to expect from teleconferencing.",
"Functional cultures and health benefits",
"Genomic resolution of linkages in carbon, nitrogen, and sulfur cycling among widespread estuary sediment bacteria",
"Interleaved Cloth Simulation",
"A 28-Gb/s 4-Tap FFE/15-Tap DFE Serial Link Transceiver in 32-nm SOI CMOS Technology",
"Inducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resources",
"Event2Vec: Neural Embeddings for News Events",
"Divided They Tweet: The Network Structure of Political Microbloggers and Discussion Topics"
] | [
0.856567919254303,
0.8826852440834045,
0.8508406281471252,
0.8128130435943604,
0.8042421340942383,
0.8583140969276428,
0.8271563053131104,
0.8168948888778687,
0.8105781674385071,
0.8375648856163025,
0.8313508629798889,
0.7894065976142883,
0.8258814215660095,
0.7774503827095032,
0.8031215071678162,
0.7963469624519348,
0.7735812067985535,
0.7834566235542297,
0.814227283000946,
0.8223163485527039,
0.8117583990097046,
0.7823216915130615,
0.8267990350723267,
0.7996833324432373,
0.7808865904808044,
0.8158892393112183,
0.7984647750854492,
0.8463058471679688,
0.8178494572639465,
0.8093234896659851
] | [
0.8515119552612305,
0.894325315952301,
0.8274369239807129,
0.8017370700836182,
0.7881894707679749,
0.833601713180542,
0.7902958989143372,
0.7880811095237732,
0.8027025461196899,
0.8273702263832092,
0.8160977363586426,
0.7888165712356567,
0.8108904361724854,
0.7606779336929321,
0.795538067817688,
0.7934145927429199,
0.761229395866394,
0.7537838220596313,
0.7987709045410156,
0.8089627027511597,
0.8155627846717834,
0.7718733549118042,
0.792972207069397,
0.7860540151596069,
0.7642046809196472,
0.8021608591079712,
0.7833941578865051,
0.8323601484298706,
0.7917642593383789,
0.7728138566017151
] | [
0.8445948362350464,
0.8589464426040649,
0.8164999485015869,
0.772283673286438,
0.7721676826477051,
0.8003383874893188,
0.7824046611785889,
0.7704631090164185,
0.7822327017784119,
0.8152824640274048,
0.7794356346130371,
0.7737793922424316,
0.8007485866546631,
0.7665150761604309,
0.7694826126098633,
0.7569352388381958,
0.7598218321800232,
0.7312265634536743,
0.7624762058258057,
0.7862457036972046,
0.7908472418785095,
0.7538444995880127,
0.7907736301422119,
0.7650307416915894,
0.7292388677597046,
0.7949457168579102,
0.777103841304779,
0.7991506457328796,
0.787207305431366,
0.7711922526359558
] | [
0.7303613424301147,
0.8007758259773254,
0.7016600370407104,
0.5489516258239746,
0.5030534267425537,
0.7073795199394226,
0.5398709774017334,
0.45694637298583984,
0.5194275975227356,
0.5809109210968018,
0.5950345993041992,
0.43615248799324036,
0.5472099781036377,
0.4903640151023865,
0.4628421664237976,
0.542900025844574,
0.3780727982521057,
0.36347508430480957,
0.4395465850830078,
0.5967787504196167,
0.5234090089797974,
0.37971168756484985,
0.44395992159843445,
0.4173293113708496,
0.41882848739624023,
0.5347229242324829,
0.3975091278553009,
0.6513857841491699,
0.5646488666534424,
0.45178842544555664
] | [
0.647992730140686,
0.7408432364463806,
0.6357619762420654,
0.4275128245353699,
0.34402692317962646,
0.6403449773788452,
0.4128197431564331,
0.3496607840061188,
0.39566484093666077,
0.45652103424072266,
0.4981265366077423,
0.31869012117385864,
0.40037310123443604,
0.357869952917099,
0.2883160412311554,
0.4109829068183899,
0.2658597230911255,
0.22774115204811096,
0.3103715181350708,
0.4852650463581085,
0.3646264672279358,
0.25436487793922424,
0.36455655097961426,
0.27343958616256714,
0.29935622215270996,
0.41444164514541626,
0.3074248433113098,
0.5564715266227722,
0.45718467235565186,
0.3282759189605713
] | [
0.7434433698654175,
0.8081865906715393,
0.7118455767631531,
0.5864120721817017,
0.5282618999481201,
0.7199292182922363,
0.5768349170684814,
0.5038985013961792,
0.5366904735565186,
0.6027635931968689,
0.6202671527862549,
0.4748493731021881,
0.5838804244995117,
0.533297598361969,
0.501799464225769,
0.5764749050140381,
0.41303950548171997,
0.40454092621803284,
0.47658538818359375,
0.6153301000595093,
0.5547996163368225,
0.43087345361709595,
0.4634329676628113,
0.4588606655597687,
0.44652408361434937,
0.5644598007202148,
0.43496936559677124,
0.6634668111801147,
0.5805655717849731,
0.48820093274116516
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis | [
"Conceptual data structures for personal knowledge management",
"Efficient parallel translating embedding for knowledge graphs",
"Structure mapping in the comparison process.",
"SEMAFOR 1.0: A Probabilistic Frame-Semantic Parser",
"A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features",
"Effectiveness of problem-based learning curricula: research and theory.",
"Analytics for the Internet of Things: A Survey",
"A Retrieve-and-Edit Framework for Predicting Structured Outputs",
"Direct charge measurement in Floating Gate transistors of Flash EEPROM using Scanning Electron Microscopy",
"Sleep Dynamic Therapy for Cerro Grande Fire evacuees with posttraumatic stress symptoms: a preliminary report.",
"Multi-Scale Convolutional Neural Networks for Time Series Classification",
"Recent advances in the automatic recognition of audiovisual speech",
"Polynomial expansion for orientation and motion estimation",
"Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema",
"Neural Net Models for Open-Domain Discourse Coherence",
"How meta-analysis increases statistical power.",
"Bidirectional LSTM-RNN with Bi-attention for reading comprehension (",
"Determinants of health policy impact: a theoretical framework for policy analysis",
"Mongodb, couchbase: Performance comparison for image dataset",
"One-shot learning of generative speech concepts",
"Do Social Bots Dream of Electric Sheep? A Categorisation of Social Media Bot Accounts",
"Comparing passwords, tokens, and biometrics for user authentication",
"Revisiting Distant Supervision for Relation Extraction",
"Recent trends in neuromorphic engineering",
"Neural Text Generation from Structured Data with Application to the Biography Domain",
"Blueberry as a Potential Radiosensitizer for Treating Cervical Cancer",
"Bone Fracture Detection Algorithms Based on Image Processing-A Survey",
"Scenarios for Development, Test and Validation of Automated Vehicles",
"Concept and Implementation of a PLL-Controlled Interlaced Chirp Sequence Radar for Optimized Range–Doppler Measurements",
"Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines"
] | [
0.8410674333572388,
0.8506587743759155,
0.8225414752960205,
0.8564227819442749,
0.8502996563911438,
0.8042314052581787,
0.8151378631591797,
0.8539584875106812,
0.7913749814033508,
0.8077699542045593,
0.8540074229240417,
0.8300533294677734,
0.8069635033607483,
0.8312575817108154,
0.8514636754989624,
0.8388686180114746,
0.8395302891731262,
0.8104444742202759,
0.8114955425262451,
0.8355768918991089,
0.8388985395431519,
0.8315153121948242,
0.8671749234199524,
0.8022431135177612,
0.8680440187454224,
0.7874572277069092,
0.8178269267082214,
0.8197702169418335,
0.7997344732284546,
0.8454210758209229
] | [
0.8042328357696533,
0.7944725751876831,
0.7868960499763489,
0.8303200006484985,
0.8251935243606567,
0.7794541716575623,
0.8002368211746216,
0.8151816129684448,
0.7672566175460815,
0.782463788986206,
0.8336515426635742,
0.805180013179779,
0.7777464389801025,
0.8188571929931641,
0.8003412485122681,
0.7969043254852295,
0.7993837594985962,
0.776972234249115,
0.7931624054908752,
0.8141730427742004,
0.770633339881897,
0.7968119382858276,
0.8174453377723694,
0.7624465227127075,
0.8160718679428101,
0.7329851388931274,
0.789299488067627,
0.79425048828125,
0.7482316493988037,
0.7848004698753357
] | [
0.7920749187469482,
0.7819336652755737,
0.7861371040344238,
0.808742105960846,
0.8267464637756348,
0.7692646384239197,
0.7839488983154297,
0.8137749433517456,
0.7572932243347168,
0.7801346182823181,
0.8330273628234863,
0.777772843837738,
0.7668063640594482,
0.8027949333190918,
0.8070101737976074,
0.8044798374176025,
0.8175384402275085,
0.7648587226867676,
0.770769476890564,
0.7826827764511108,
0.7743494510650635,
0.7886307835578918,
0.8154779076576233,
0.7549301385879517,
0.8218545317649841,
0.7204217910766602,
0.7419259548187256,
0.7630178928375244,
0.7510024309158325,
0.8033759593963623
] | [
0.5775843858718872,
0.6432570219039917,
0.5585557818412781,
0.7335672974586487,
0.6991996765136719,
0.4186738133430481,
0.47934383153915405,
0.6741087436676025,
0.3215661942958832,
0.3438764214515686,
0.5405831933021545,
0.5413318276405334,
0.46325168013572693,
0.6314933896064758,
0.6664447784423828,
0.4078061580657959,
0.6479865312576294,
0.3850477933883667,
0.5163516998291016,
0.589392900466919,
0.5255895853042603,
0.4929291009902954,
0.6927746534347534,
0.44835975766181946,
0.7104995250701904,
0.32741087675094604,
0.4538815915584564,
0.43330004811286926,
0.31483563780784607,
0.5188791751861572
] | [
0.4586523473262787,
0.5413172245025635,
0.4141286313533783,
0.6462939977645874,
0.5902088284492493,
0.24744290113449097,
0.3375350534915924,
0.5783697962760925,
0.1954745501279831,
0.2024548351764679,
0.4102734327316284,
0.4033757746219635,
0.3100671172142029,
0.5201466083526611,
0.540805459022522,
0.3238731026649475,
0.5469658970832825,
0.23972663283348083,
0.39629799127578735,
0.4681050777435303,
0.3857349455356598,
0.33175158500671387,
0.6144863963127136,
0.31344926357269287,
0.6197621822357178,
0.23554816842079163,
0.3056626617908478,
0.31113141775131226,
0.16823957860469818,
0.39737239480018616
] | [
0.5754635334014893,
0.640254020690918,
0.5706944465637207,
0.7360606789588928,
0.6929073333740234,
0.44439420104026794,
0.4980196952819824,
0.676261842250824,
0.3418888747692108,
0.37810975313186646,
0.5542831420898438,
0.5572577118873596,
0.5012484788894653,
0.6391897201538086,
0.6567885279655457,
0.46304747462272644,
0.6437570452690125,
0.4204726815223694,
0.5193718671798706,
0.6030274629592896,
0.540723979473114,
0.5096127986907959,
0.6971266865730286,
0.47802889347076416,
0.7094566822052002,
0.358767569065094,
0.4757314622402191,
0.45943957567214966,
0.35182708501815796,
0.544744074344635
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Cross-lingual Distillation for Text Classification | [
"Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains",
"Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering",
"A FOFE-based Local Detection Approach for Named Entity Recognition and Mention Detection",
"Cross Language Text Classification by Model Translation and Semi-Supervised Learning",
"Character-Based Text Classification using Top Down Semantic Model for Sentence Representation",
"Statistical Section Segmentation in Free-Text Clinical Records",
"Toward a Cognitive Neuroscience of Metacognition",
"Reducing the Rank in Relational Factorization Models by Including Observable Patterns",
"Depressed dopamine activity in caudate and preliminary evidence of limbic involvement in adults with attention-deficit/hyperactivity disorder.",
"Realizing the potential of synthetic biology",
"Understanding determinants of cloud computing adoption using an integrated TAM-TOE model",
"Micro Controller Based Automatic Plant Irrigation System *",
"Project Success : A Multidimensional Strategic Concept",
"Quadrotor Helicopter Flight Dynamics and Control : Theory and Experiment ∗",
"Residual and plain convolutional neural networks for 3D brain MRI classification",
"Cognitive sophistication does not attenuate the bias blind spot.",
"Radicalization into Violent Extremism II : A Review of Conceptual Models and Empirical Research",
"Fog Computing for Sustainable Smart Cities: A Survey",
"The Development of Honda Humanoid Robot",
"Reversible Architectures for Arbitrarily Deep Residual Neural Networks",
"A Development of the Blended Learning Model Using Edmodo for Maximizing Students' Oral Proficiency and Motivation",
"CREDIT RISK MODELS III: RECONCILIATION REDUCED – STRUCTURAL MODELS",
"A LabVIEW-Based GPS Receiver Development and Testing Platform with DSP Peripherals : Case study with C 6713 DSK",
"Modern Coding Theory",
"Procedural City Layout Generation Based on Urban Land Use Models",
"A Science Learning Environment using a Computational Thinking Approach",
"Sentiment Analysis : A Review",
"Spent Resources : Self-Regulatory Resource Availability Affects Impulse Buying",
"Pyramid Methods in Image Processing",
"Paraphrase Pattern Acquisition by Diversifiable Bootstrapping"
] | [
0.8528916239738464,
0.85920250415802,
0.8284666538238525,
0.9208372831344604,
0.8681179285049438,
0.8585614562034607,
0.8286826610565186,
0.8277872800827026,
0.7903019785881042,
0.8172280192375183,
0.8143250942230225,
0.7975524663925171,
0.7991158962249756,
0.7748362421989441,
0.8347138166427612,
0.7858092784881592,
0.7918264865875244,
0.8013814091682434,
0.7920200228691101,
0.8252579569816589,
0.8245425820350647,
0.7850605249404907,
0.8171637058258057,
0.8163882493972778,
0.8001599311828613,
0.8211675882339478,
0.8450301289558411,
0.7938087582588196,
0.8226653337478638,
0.8539088368415833
] | [
0.812751054763794,
0.8199219703674316,
0.793419361114502,
0.8995959758758545,
0.8395552635192871,
0.8396424055099487,
0.793013870716095,
0.7853173017501831,
0.7737137079238892,
0.7769660949707031,
0.7779894471168518,
0.7617666721343994,
0.7601263523101807,
0.7533751726150513,
0.7979313135147095,
0.7488383650779724,
0.7691889405250549,
0.7780389785766602,
0.7799548506736755,
0.7980872392654419,
0.787792444229126,
0.7737475037574768,
0.7630063891410828,
0.7788203954696655,
0.7708989381790161,
0.7801436185836792,
0.8067417144775391,
0.7621410489082336,
0.8069322109222412,
0.8212723135948181
] | [
0.8090948462486267,
0.8031158447265625,
0.7849912047386169,
0.8708664178848267,
0.8140931129455566,
0.8123559951782227,
0.7739385366439819,
0.7825936675071716,
0.7545785903930664,
0.7591687440872192,
0.7528408765792847,
0.7369827628135681,
0.7486425638198853,
0.7299911379814148,
0.8008526563644409,
0.7830312252044678,
0.7502104043960571,
0.7663018703460693,
0.7510034441947937,
0.7884716987609863,
0.766085147857666,
0.7671918869018555,
0.7522913217544556,
0.7873876690864563,
0.7335981130599976,
0.7649493217468262,
0.7832123041152954,
0.751854419708252,
0.7555249929428101,
0.8359083533287048
] | [
0.6430603265762329,
0.6752434968948364,
0.6416059136390686,
0.8456015586853027,
0.7153001427650452,
0.5781680345535278,
0.44875574111938477,
0.5933284759521484,
0.3522772192955017,
0.4067850708961487,
0.39614805579185486,
0.368786484003067,
0.4002267122268677,
0.3712039589881897,
0.5488336086273193,
0.3008761405944824,
0.44351649284362793,
0.4526447057723999,
0.3915143609046936,
0.5307809114456177,
0.4637693762779236,
0.4594408869743347,
0.38941678404808044,
0.5014432072639465,
0.42264658212661743,
0.4232175946235657,
0.6539663672447205,
0.36686789989471436,
0.4912954568862915,
0.6802440881729126
] | [
0.533836841583252,
0.5470041036605835,
0.508316695690155,
0.7823889851570129,
0.6232855319976807,
0.44063180685043335,
0.297351598739624,
0.4424131512641907,
0.2077202945947647,
0.23757821321487427,
0.2444743514060974,
0.2087366282939911,
0.23606956005096436,
0.20857873558998108,
0.4219267964363098,
0.24787169694900513,
0.28689032793045044,
0.3125070631504059,
0.24217842519283295,
0.39389848709106445,
0.33382683992385864,
0.310758113861084,
0.24333061277866364,
0.3650132715702057,
0.250389963388443,
0.24904844164848328,
0.531278133392334,
0.23404718935489655,
0.30818119645118713,
0.5567580461502075
] | [
0.6428946256637573,
0.6742768287658691,
0.6407009959220886,
0.8481049537658691,
0.7125365138053894,
0.5906791687011719,
0.4769698977470398,
0.616107702255249,
0.37805330753326416,
0.447733998298645,
0.4182199239730835,
0.3901638984680176,
0.4315299093723297,
0.4119681417942047,
0.5699959397315979,
0.3771970868110657,
0.46584364771842957,
0.46603143215179443,
0.4191097021102905,
0.5560657978057861,
0.48448383808135986,
0.5002875328063965,
0.41599041223526,
0.5415383577346802,
0.46492111682891846,
0.439836323261261,
0.6584981083869934,
0.4084925651550293,
0.5112123489379883,
0.6784776449203491
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Adaptive Cruise Control Design Based on Fuzzy-PID | [
"String Stable Heterogeneous Vehicle Platoon Using Cooperative Adaptive Cruise Control",
"PID controller design for cruise control system using genetic algorithm",
"The Lateral Tracking Control for the Intelligent Vehicle Based on Adaptive PID Neural Network",
"Optimal Adaptive Cruise Control with Guaranteed String Stability",
"Research advances in intelligent collision avoidance and adaptive cruise control",
"Delving Deeper into Convolutional Networks for Learning Video Representations",
"Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces",
"The use of the area under the ROC curve in the evaluation of machine learning algorithms",
"You are what you include: large-scale evaluation of remote javascript inclusions",
"Analysis of Traveling Ionospheric Disturbances ( TIDs ) in GPS TEC Launched by the 2011 Tohoku Earthquake",
"Multilabel dimensionality reduction via dependence maximization",
"Deep Stacked Networks with Residual Polishing for Image Inpainting",
"Wideband Magnetoelectric Dipole Antennas With Dual Polarization and Circular Polarization",
"Empath: Understanding Topic Signals in Large-Scale Text",
"Aerodynamic Admittance Function of Tall Buildings",
"Adversarial Distillation of Bayesian Neural Network Posteriors",
"Information-theoretic algorithm for feature selection",
"A Novel Simplified Two-Diode Model of Photovoltaic (PV) Module",
"Implicit theories of intelligence predict achievement across an adolescent transition: a longitudinal study and an intervention.",
"Infusing Creativity and Technology in 21st Century Education: A Systemic View for Change",
"Estimation of Panel Vector Autoregression in Stata: a Package of Programs",
"Cannabis sativa: The Plant of the Thousand and One Molecules",
"Pelvic floor muscle function, pelvic floor dysfunction and diastasis recti abdominis: Prospective cohort study.",
"Methods for Reconstructing Causal Networks from Observed Time-Series: Granger-Causality, Transfer Entropy, and Convergent Cross-Mapping",
"The effect of grammatical gender on object categorization.",
"DeViSE: A Deep Visual-Semantic Embedding Model",
"Is zirconia a viable alternative to titanium for oral implant? A critical review.",
"MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving",
"Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation",
"Building Streetview Datasets for Place Recognition and City Reconstruction"
] | [
0.8733983039855957,
0.9355100393295288,
0.9071668982505798,
0.9048066139221191,
0.8908931612968445,
0.7813098430633545,
0.8001810312271118,
0.8165225982666016,
0.7877467274665833,
0.8251174688339233,
0.8026384711265564,
0.7901157140731812,
0.7873498201370239,
0.7771719098091125,
0.8095464110374451,
0.8207690119743347,
0.8073880076408386,
0.8102536201477051,
0.7777451276779175,
0.7710704207420349,
0.803054928779602,
0.7562283873558044,
0.7943564653396606,
0.7954891920089722,
0.7801535725593567,
0.7758296728134155,
0.775984525680542,
0.8331788778305054,
0.8266655206680298,
0.7891541719436646
] | [
0.8561777472496033,
0.9101454019546509,
0.8739219307899475,
0.8733340501785278,
0.8684241771697998,
0.7453833222389221,
0.7596176266670227,
0.7622804641723633,
0.7717965245246887,
0.7945162057876587,
0.7635049819946289,
0.7433385252952576,
0.7392213344573975,
0.7534785270690918,
0.7836378812789917,
0.7667924165725708,
0.799305260181427,
0.7772027254104614,
0.7509641647338867,
0.760612964630127,
0.7576866149902344,
0.7533776760101318,
0.7561378479003906,
0.7652776837348938,
0.7398233413696289,
0.7497466802597046,
0.733214259147644,
0.7838308215141296,
0.7856638431549072,
0.751998245716095
] | [
0.8371173143386841,
0.8899634480476379,
0.8434231281280518,
0.8602306246757507,
0.8368017673492432,
0.714817225933075,
0.7286875247955322,
0.7470300197601318,
0.7370061874389648,
0.7729834318161011,
0.7325412034988403,
0.708231508731842,
0.7025480270385742,
0.7314791083335876,
0.7464962005615234,
0.7388192415237427,
0.7490689754486084,
0.7678723931312561,
0.7235621213912964,
0.7384248971939087,
0.739775538444519,
0.7290817499160767,
0.7366001009941101,
0.7489246129989624,
0.7067720293998718,
0.7230745553970337,
0.724008321762085,
0.7541055083274841,
0.749841570854187,
0.7441821098327637
] | [
0.7465531826019287,
0.8275487422943115,
0.7544254064559937,
0.808749794960022,
0.7644518613815308,
0.3472382128238678,
0.35208630561828613,
0.4710518419742584,
0.3641105890274048,
0.4549619257450104,
0.4034895598888397,
0.3302271366119385,
0.3346637785434723,
0.3760245740413666,
0.43857401609420776,
0.3570905327796936,
0.44898226857185364,
0.4928373098373413,
0.3743055462837219,
0.4001585841178894,
0.3937315344810486,
0.3652811646461487,
0.33776265382766724,
0.4591459035873413,
0.3493906557559967,
0.3530117869377136,
0.39864587783813477,
0.4972577691078186,
0.4404667615890503,
0.346437931060791
] | [
0.6717938184738159,
0.7804786562919617,
0.7101813554763794,
0.75087571144104,
0.7286117076873779,
0.1776488721370697,
0.20393753051757812,
0.3376515507698059,
0.2012357860803604,
0.3446900248527527,
0.24938581883907318,
0.18735972046852112,
0.18680202960968018,
0.22606408596038818,
0.28850144147872925,
0.2145402431488037,
0.30594223737716675,
0.3597259521484375,
0.23491308093070984,
0.2509302496910095,
0.24498605728149414,
0.20340219140052795,
0.1936388909816742,
0.33929872512817383,
0.219964861869812,
0.18612034618854523,
0.2578520178794861,
0.3963143527507782,
0.32268965244293213,
0.18366992473602295
] | [
0.7492596507072449,
0.8226000070571899,
0.7465627193450928,
0.8025204539299011,
0.7745944857597351,
0.37578481435775757,
0.3883786201477051,
0.5071563720703125,
0.388957679271698,
0.4876552224159241,
0.4297180473804474,
0.36767929792404175,
0.3831740617752075,
0.4034392833709717,
0.4755735397338867,
0.38728126883506775,
0.47840458154678345,
0.5230085253715515,
0.39834415912628174,
0.42572659254074097,
0.4230191707611084,
0.4070337414741516,
0.365253746509552,
0.4914233386516571,
0.3816186487674713,
0.3801058828830719,
0.423628568649292,
0.5044478178024292,
0.4556763768196106,
0.3815329670906067
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Massively Parallel Methods for Deep Reinforcement Learning | [
"A Distributional Perspective on Reinforcement Learning",
"Fully Connected Object Proposals for Video Segmentation",
"Video content authentication techniques: a comprehensive survey",
"A Compositional Framework for Grounding Language Inference, Generation, and Acquisition in Video",
"Playing Atari with Deep Reinforcement Learning",
"Attendance management system using hybrid face recognition techniques",
"Lexical Pragmatics",
"An Update on Business-IT Alignment: \"A Line\" Has Been Drawn",
"Design and analysis of underactuated robotic gripper with adaptive fingers for objects grasping tasks",
"Relaying Protocols for Wireless Energy Harvesting and Information Processing",
"A Scenario-Based Analysis of Mobile Payment Acceptance",
"Sub-Sampled Newton Methods II: Local Convergence Rates",
"A dynamic programming offloading algorithm for mobile cloud computing",
"Internet of Things based Expert System for Smart Agriculture",
"Python probabilistic type inference with natural language support",
"A Survey on Recent Advances in Named Entity Recognition from Deep Learning models",
"EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning",
"Designing the Green Supply Chain",
"Access control in the Internet of Things: Big challenges and new opportunities",
"Profit shifting and ' aggressive ' tax planning by multinational firms : Issues and options for reform",
"Global Localization from Monocular SLAM on a Mobile Phone",
"Becoming literate in different languages: similar problems, different solutions.",
"Social media addiction: What is the role of content in YouTube?",
"Robust radial basis function neural networks",
"Physical Activity and Mental Toughness in University Students of Tabriz University",
"Energy-efficient target coverage in wireless sensor networks",
"An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss",
"Relational to NoSQL Database Migration",
"Learning to Forget: Continual Prediction with LSTM",
"A Particle Swarm Optimization-Based Heuristic for Scheduling Workflow Applications in Cloud Computing Environments"
] | [
0.8841873407363892,
0.8341843485832214,
0.8151816129684448,
0.8197202682495117,
0.8987089395523071,
0.8040218353271484,
0.7948044538497925,
0.7839952707290649,
0.8066117763519287,
0.8277339935302734,
0.8074735999107361,
0.8322492241859436,
0.8221257328987122,
0.8122190237045288,
0.8223088979721069,
0.8629982471466064,
0.8410459756851196,
0.7913629412651062,
0.8259612321853638,
0.7801035642623901,
0.802586555480957,
0.7882868647575378,
0.783082127571106,
0.8483957052230835,
0.7791100740432739,
0.8101303577423096,
0.8337216377258301,
0.8024593591690063,
0.8539294004440308,
0.8312461376190186
] | [
0.8656517267227173,
0.7996170520782471,
0.7937599420547485,
0.7876662611961365,
0.868410587310791,
0.7833070755004883,
0.7816916704177856,
0.7563110589981079,
0.7542891502380371,
0.7962229251861572,
0.7622026801109314,
0.8278864622116089,
0.7878968119621277,
0.7686532735824585,
0.8010076880455017,
0.8229673504829407,
0.7930800914764404,
0.7599842548370361,
0.783679723739624,
0.7794145345687866,
0.7884069681167603,
0.7860102653503418,
0.7475870847702026,
0.8142155408859253,
0.7504403591156006,
0.7704101204872131,
0.8053593635559082,
0.771631121635437,
0.8273710012435913,
0.7791131138801575
] | [
0.8196046352386475,
0.7806785106658936,
0.7544899582862854,
0.7763472199440002,
0.8551217317581177,
0.7535923719406128,
0.7608909606933594,
0.7502279281616211,
0.7279629111289978,
0.7576584815979004,
0.7523185610771179,
0.7903813123703003,
0.7790933847427368,
0.7449870705604553,
0.7908213138580322,
0.7891956567764282,
0.7947401404380798,
0.7468459606170654,
0.7917971611022949,
0.7511744499206543,
0.7584814429283142,
0.7810294032096863,
0.7476906776428223,
0.7909044027328491,
0.735353410243988,
0.7488916516304016,
0.7935155630111694,
0.7666897773742676,
0.8168579339981079,
0.7594859600067139
] | [
0.7366839051246643,
0.5020051598548889,
0.3690076768398285,
0.5899325609207153,
0.8174259662628174,
0.44184988737106323,
0.438141405582428,
0.3403734564781189,
0.43309342861175537,
0.4431617856025696,
0.48342862725257874,
0.5818497538566589,
0.5142971277236938,
0.3964775800704956,
0.5291626453399658,
0.49745458364486694,
0.47173404693603516,
0.37788212299346924,
0.38019901514053345,
0.39751145243644714,
0.48969566822052,
0.40139245986938477,
0.36749252676963806,
0.5387707948684692,
0.3408504128456116,
0.41915273666381836,
0.5784578919410706,
0.4405972361564636,
0.6175389289855957,
0.4635999798774719
] | [
0.6697525978088379,
0.3407651484012604,
0.205244779586792,
0.46046939492225647,
0.7705453038215637,
0.287526935338974,
0.2905113399028778,
0.20496532320976257,
0.2779189944267273,
0.27324748039245605,
0.32736748456954956,
0.4631902575492859,
0.40361639857292175,
0.206363245844841,
0.3921956419944763,
0.39544692635536194,
0.35405293107032776,
0.21391260623931885,
0.17809873819351196,
0.2696306109428406,
0.313239723443985,
0.24677008390426636,
0.22175279259681702,
0.3990352749824524,
0.22690452635288239,
0.26192495226860046,
0.4541351795196533,
0.3025321960449219,
0.5110765099525452,
0.3338688313961029
] | [
0.7534257769584656,
0.5244455337524414,
0.4014664888381958,
0.6031553149223328,
0.8156411647796631,
0.469098299741745,
0.4883789122104645,
0.39466461539268494,
0.4540613293647766,
0.47418272495269775,
0.5116264224052429,
0.6079285740852356,
0.5307275056838989,
0.4193335175514221,
0.556243896484375,
0.5208051204681396,
0.48906397819519043,
0.4113846719264984,
0.4133378267288208,
0.4395725727081299,
0.5177231431007385,
0.4397990107536316,
0.4088699221611023,
0.5689669847488403,
0.36589688062667847,
0.45577025413513184,
0.6036919355392456,
0.4763328433036804,
0.6367314457893372,
0.4818119406700134
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
PERFECTOID SPACES: A SURVEY | [
"THE LANGLANDS-KOTTWITZ APPROACH FOR SOME SIMPLE SHIMURA VARIETIES",
"THE LOCAL LANGLANDS CORRESPONDENCE FOR GLn OVER p-ADIC FIELDS",
"Perspectives on mock modular forms",
"PERFECTOID SPACES",
"Perfectoid Spaces and their Applications",
"Contrastive-center loss for deep neural networks",
"Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method",
"Watset: Automatic Induction of Synsets from a Graph of Synonyms",
"Real Time Radio Frequency Exposure for Bio-Physical Data Acquisition",
"Performance Benchmarking and Optimizing Hyperledger Fabric Blockchain Platform",
"Nanotechnology and its Applications in Medicine",
"Comprehending pronouns: a role for word-specific gender stereotype information.",
"Classification using Machine Learning Techniques",
"Playing Go without Game Tree Search Using Convolutional Neural Networks",
"Executing SPARQL Queries over the Web of Linked Data",
"Augmented Reality as a New Media Experience",
"Societal, Economic, Ethical and Legal Challenges of the Digital Revolution: From Big Data to Deep Learning, Artificial Intelligence, and Manipulative Technologies",
"Parallel Clustering Algorithms : Survey",
"Transforming to a Quality Culture: The Henry Ford Production System",
"Finger Vein Recognition Using Local Line Binary Pattern",
"Hedonic and instrumental motives in anger regulation.",
"Credit scoring with a data mining approach based on support vector machines",
"Customer Brand Engagement on Online Social Media Platforms : A Conceptual Model and Empirical Analysis",
"To Graft or Not to Graft? Evidence-Based Guide to Decision Making in Oral Bone Graft Surgery",
"Planning for Autonomous Cars that Leverage Effects on Human Actions",
"Coordinated Multi-Agent Imitation Learning",
"A current and future state of art development of hybrid energy system using wind and PV-solar : A review",
"Additive Manufacturing : A Framework for Implementation"
] | [
0.8142359256744385,
0.8333016633987427,
0.8160626292228699,
0.9449626207351685,
0.9243975877761841,
0.8042654991149902,
0.80220627784729,
0.8137101531028748,
0.8252134323120117,
0.8296376466751099,
0.8057796955108643,
0.80970299243927,
0.8250260949134827,
0.8023848533630371,
0.8193089962005615,
0.8237319588661194,
0.7860361933708191,
0.855749249458313,
0.8134363889694214,
0.8057389855384827,
0.7912664413452148,
0.8118604421615601,
0.8171741962432861,
0.7988929748535156,
0.8010261058807373,
0.8014183044433594,
0.8174296617507935,
0.8180004358291626
] | [
0.802614688873291,
0.7969858646392822,
0.8026206493377686,
0.956369161605835,
0.913159966468811,
0.7883771061897278,
0.7709516882896423,
0.7906287312507629,
0.7854773998260498,
0.7754944562911987,
0.7750575542449951,
0.7880913615226746,
0.7981570959091187,
0.7660934925079346,
0.7804974317550659,
0.7816857099533081,
0.7537076473236084,
0.8358439207077026,
0.7824547290802002,
0.77372807264328,
0.7679198980331421,
0.7611236572265625,
0.7605010867118835,
0.7577778100967407,
0.7880234718322754,
0.7590429186820984,
0.7551628947257996,
0.782892644405365
] | [
0.7755262851715088,
0.7754798531532288,
0.7914868593215942,
0.9230342507362366,
0.8746947050094604,
0.7607961893081665,
0.7665674686431885,
0.7783966064453125,
0.7574055194854736,
0.7606039643287659,
0.7450175285339355,
0.773455023765564,
0.7654962539672852,
0.7773839235305786,
0.7753032445907593,
0.7581937313079834,
0.7511675357818604,
0.8152378797531128,
0.7521237134933472,
0.763485312461853,
0.7404046058654785,
0.7473801374435425,
0.7501839995384216,
0.7548171281814575,
0.7642911672592163,
0.7449544668197632,
0.7384013533592224,
0.7555875778198242
] | [
0.5865739583969116,
0.579323947429657,
0.6165614128112793,
0.9798446297645569,
0.9856119751930237,
0.5079551935195923,
0.43871647119522095,
0.5101268291473389,
0.418390691280365,
0.464502215385437,
0.4005948603153229,
0.47718825936317444,
0.48077529668807983,
0.5095854997634888,
0.49523523449897766,
0.4349379539489746,
0.4587629437446594,
0.5293326377868652,
0.4324578046798706,
0.457646906375885,
0.39478224515914917,
0.4440830945968628,
0.37366098165512085,
0.36549532413482666,
0.4447367191314697,
0.5047357678413391,
0.38549286127090454,
0.4991103708744049
] | [
0.4831639528274536,
0.45379313826560974,
0.4827185273170471,
0.9833593368530273,
0.9867692589759827,
0.36218518018722534,
0.3150145411491394,
0.38273924589157104,
0.23820529878139496,
0.3242853581905365,
0.24502192437648773,
0.3454805910587311,
0.3255769610404968,
0.358295202255249,
0.34475377202033997,
0.25701266527175903,
0.3048937916755676,
0.37812864780426025,
0.29922938346862793,
0.3180540204048157,
0.2692940831184387,
0.2947114109992981,
0.19580084085464478,
0.20369109511375427,
0.2844903767108917,
0.37424236536026,
0.2372731864452362,
0.3551485538482666
] | [
0.6119881868362427,
0.6163251399993896,
0.6403249502182007,
0.9777594208717346,
0.9864374399185181,
0.5402683615684509,
0.47200122475624084,
0.5420545935630798,
0.4433995485305786,
0.5020413398742676,
0.4342230260372162,
0.5080835223197937,
0.512544572353363,
0.5400570631027222,
0.5324519872665405,
0.4566681981086731,
0.4844426214694977,
0.5550218224525452,
0.47532951831817627,
0.4808027148246765,
0.4300236701965332,
0.47300559282302856,
0.4062957465648651,
0.397672176361084,
0.47653037309646606,
0.5377098321914673,
0.41145384311676025,
0.5172088146209717
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Synchronization Detection and Recovery of Steganographic Messages with Adversarial Learning | [
"E-Banking Security using Cryptography, Steganography and Data Mining",
"Yedroudj-Net: An Efficient CNN for Spatial Steganalysis",
"STEGANOGRAPHY UTILIZING XML , HTML AND XHTML MARKUP LANGUAGES",
"Audio Steganography to Protect the Confidential Information: A Survey",
"A New Parallel Message-distribution Technique for Cost-based Steganography",
"Potential Health Benefits of Garlic ( Allium Sativum): A Narrative Review",
"Question Generation for Question Answering",
"Wideband Dual-Polarized Patch Antenna With Low Cross Polarization and High Isolation",
"An Introduction to Journal Phishings and Their Detection Approach",
"Deep reinforcement learning from human preferences",
"Improving Japanese-to-English Neural Machine Translation by Paraphrasing the Target Language",
"Deep CNNs With Spatially Weighted Pooling for Fine-Grained Car Recognition",
"A Practical Perspective on Latent Structured Prediction for Coreference Resolution",
"Intelligent Detection System for e-banking Phishing websites using Fuzzy Data Mining",
"Monkey Says, Monkey Does: Security and Privacy on Voice Assistants",
"Load Balancing in Cloud Computing",
"Multi-source data analysis for bike sharing systems",
"Managing Bad News in Social Media: A Case Study on Domino's Pizza Crisis",
"Malware in the future? Forecasting of analyst detection of cyber events",
"A pilot study on wheat grass juice for its phytochemical , nutritional and therapeutic potential on chronic diseases",
"Large-scale vehicle re-identification in urban surveillance videos",
"Review of automatic sarcasm detection",
"Validity, reliability, and generalizability in qualitative research",
"Confidence Intervals Permit, but Do Not Guarantee, Better Inference than Statistical Significance Testing",
"Aerodynamics, sensing and control of insect-scale flapping-wing flight.",
"Application of multi-criteria decision making to sustainable energy planning — A review",
"Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation",
"PHYSICAL LAYER SECURITY USING ARTIFICIAL NOISE",
"Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network",
"Design and Implementation of Digital dining in Restaurants using Android"
] | [
0.8523136377334595,
0.856732964515686,
0.859527051448822,
0.8761067986488342,
0.8778824806213379,
0.7720251679420471,
0.8228287100791931,
0.7960008382797241,
0.8235834836959839,
0.8321428894996643,
0.8130089044570923,
0.837029218673706,
0.8253217339515686,
0.8257250785827637,
0.8148062229156494,
0.8015948534011841,
0.8169891834259033,
0.8234460353851318,
0.8286686539649963,
0.7807853817939758,
0.8065406084060669,
0.8473718166351318,
0.7871625423431396,
0.8163706064224243,
0.788833498954773,
0.7727248668670654,
0.8079124093055725,
0.830410361289978,
0.8277444243431091,
0.8034546971321106
] | [
0.8445632457733154,
0.8151454925537109,
0.8147642612457275,
0.8366204500198364,
0.8293435573577881,
0.7568755149841309,
0.7954884767532349,
0.7738209962844849,
0.8195023536682129,
0.7923827171325684,
0.7896848917007446,
0.7952369451522827,
0.7897412180900574,
0.8089437484741211,
0.8047362565994263,
0.788684606552124,
0.7833704948425293,
0.7919681072235107,
0.8141900897026062,
0.7374268770217896,
0.7875272631645203,
0.8279738426208496,
0.7699873447418213,
0.7837725877761841,
0.7754846811294556,
0.7291340231895447,
0.8001782894134521,
0.7825360298156738,
0.8002922534942627,
0.7695425748825073
] | [
0.8285967111587524,
0.8513719439506531,
0.8256189823150635,
0.8434252142906189,
0.8262907266616821,
0.7560874223709106,
0.7683863639831543,
0.7476223111152649,
0.7971602082252502,
0.7781093716621399,
0.7811428308486938,
0.787559986114502,
0.7847815752029419,
0.8074735403060913,
0.7949883341789246,
0.7522534132003784,
0.7606263160705566,
0.7867732048034668,
0.8027903437614441,
0.7390886545181274,
0.7956563234329224,
0.8080992698669434,
0.7505353093147278,
0.7757135629653931,
0.7789812684059143,
0.7152823209762573,
0.7911579608917236,
0.8237160444259644,
0.7869812250137329,
0.7820092439651489
] | [
0.6372108459472656,
0.744895339012146,
0.7092660665512085,
0.6561073064804077,
0.7372725009918213,
0.333071231842041,
0.46695488691329956,
0.38037535548210144,
0.5471276044845581,
0.4892672300338745,
0.5652540326118469,
0.5299255847930908,
0.523728609085083,
0.5041511058807373,
0.5284836292266846,
0.42170581221580505,
0.4422396421432495,
0.4901666045188904,
0.5486886501312256,
0.318430095911026,
0.5378834009170532,
0.48646238446235657,
0.4180041551589966,
0.4213324189186096,
0.37058740854263306,
0.3271031379699707,
0.541649341583252,
0.5415585041046143,
0.5316894054412842,
0.43474674224853516
] | [
0.5585501194000244,
0.6798211336135864,
0.6447080969810486,
0.5856641530990601,
0.6741747260093689,
0.1812172532081604,
0.3292802572250366,
0.26263219118118286,
0.4217555820941925,
0.3375244140625,
0.4672597646713257,
0.40213465690612793,
0.38129276037216187,
0.3749173879623413,
0.40025848150253296,
0.2614859342575073,
0.2756800055503845,
0.3325474262237549,
0.3937983810901642,
0.15526483952999115,
0.3890450894832611,
0.3435134291648865,
0.2524639666080475,
0.3287019729614258,
0.22374847531318665,
0.1754031777381897,
0.3901883065700531,
0.40890806913375854,
0.3732919692993164,
0.27854645252227783
] | [
0.6483229994773865,
0.7432591915130615,
0.7145063877105713,
0.6672388911247253,
0.742943286895752,
0.36572349071502686,
0.496719092130661,
0.41919636726379395,
0.5689048171043396,
0.5184914469718933,
0.5858702659606934,
0.5435006618499756,
0.5420942306518555,
0.5201868414878845,
0.5608278512954712,
0.4626948833465576,
0.4762718081474304,
0.516302227973938,
0.5680804252624512,
0.34579405188560486,
0.557807445526123,
0.508051872253418,
0.4523465037345886,
0.4858536124229431,
0.4039705991744995,
0.36732417345046997,
0.5593161582946777,
0.5683518648147583,
0.5457533597946167,
0.45913514494895935
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Edward: A library for probabilistic modeling, inference, and criticism | [
"The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training",
"Knowledge Discovering using FrameNet , VerbNet and PropBank",
"Algorithmic Di erentiation in Python with AlgoPy",
"Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction",
"Venture: a higher-order probabilistic programming platform with programmable inference",
"Pop-up book MEMS",
"Direct least squares fitting of ellipses",
"Fast and robust Earth Mover's Distances",
"WATER MAIN BURST EVENT DETECTION AND LOCALIZATION",
"Mobile-Assisted Language Learning: A Selected Annotated Bibliography of Implementation Studies 1994-2012.",
"Phoenix++: modular MapReduce for shared-memory systems",
"Microbial communication leading to the activation of silent fungal secondary metabolite gene clusters",
"An Analysis of Causality between Events and its Relation to Temporal Information",
"Image Compression: Sparse Coding vs. Bottleneck Autoencoders",
"Introduction to Time-Sensitive Networking",
"Osteochondral tissue engineering: scaffolds, stem cells and applications",
"Collective multi-label classification",
"Multi-stage Contextual Deep Learning for Pedestrian Detection",
"Implicit theories of intelligence predict achievement across an adolescent transition: a longitudinal study and an intervention.",
"Denoising Distant Supervision for Relation Extraction via Instance-Level Adversarial Training",
"Friending your way up the ladder: Connecting massive multiplayer online game behaviors with offline leadership",
"6-Element 28/38 GHz dual-band MIMO PIFA for future 5G cellular systems",
"Scaling theory for quasibrittle structural failure.",
"Psychological resilience, positive emotions, and successful adaptation to stress in later life.",
"Music and social bonding: “self-other” merging and neurohormonal mechanisms",
"App2Vec: Vector modeling of mobile apps and applications",
"Towards an insider threat prediction specification language",
"Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration",
"Artificial Intelligence: What Works and What Doesn't?",
"Occupational therapy using a sensory integrative approach for children with developmental disabilities."
] | [
0.853656530380249,
0.8309979438781738,
0.8086824417114258,
0.8269262909889221,
0.8658159971237183,
0.8193687200546265,
0.8144236207008362,
0.8368750810623169,
0.7988835573196411,
0.8296207785606384,
0.8350180387496948,
0.8009727001190186,
0.8294575810432434,
0.8150206804275513,
0.8128014802932739,
0.8039230108261108,
0.8355754613876343,
0.8214752674102783,
0.8391910791397095,
0.8297519683837891,
0.8159766793251038,
0.799289345741272,
0.822506308555603,
0.8206143379211426,
0.8066669702529907,
0.8548429012298584,
0.8308767080307007,
0.8582687377929688,
0.8391174077987671,
0.7963937520980835
] | [
0.8079068660736084,
0.8110238313674927,
0.8306370973587036,
0.8107348680496216,
0.8410360813140869,
0.8051959872245789,
0.8183262348175049,
0.8228070735931396,
0.7814631462097168,
0.8229074478149414,
0.8272268772125244,
0.7830806970596313,
0.8097190856933594,
0.8054980039596558,
0.7892016172409058,
0.8064514398574829,
0.8036052584648132,
0.7835151553153992,
0.8065817356109619,
0.7872143983840942,
0.7862491607666016,
0.77506422996521,
0.8227919340133667,
0.807799220085144,
0.7800794839859009,
0.8289384841918945,
0.8205716609954834,
0.8207384347915649,
0.8228675723075867,
0.7958694696426392
] | [
0.8092689514160156,
0.796660304069519,
0.8284944295883179,
0.7937788963317871,
0.8683336973190308,
0.7995947003364563,
0.787712574005127,
0.8096180558204651,
0.7850527763366699,
0.8103920221328735,
0.8160347938537598,
0.7721337080001831,
0.7909551858901978,
0.801531195640564,
0.8023109436035156,
0.7793723344802856,
0.7995740175247192,
0.7717578411102295,
0.7956868410110474,
0.7875909805297852,
0.7867541313171387,
0.786963939666748,
0.8055994510650635,
0.8035105466842651,
0.7691103219985962,
0.8352388739585876,
0.8061953186988831,
0.8456535935401917,
0.8311283588409424,
0.7836629748344421
] | [
0.6088042259216309,
0.6344962120056152,
0.6154890060424805,
0.5943859815597534,
0.8058503866195679,
0.4680355191230774,
0.5775634050369263,
0.5617397427558899,
0.5217846632003784,
0.47011810541152954,
0.5772663950920105,
0.48159223794937134,
0.622349739074707,
0.5747330188751221,
0.5015328526496887,
0.4059194326400757,
0.6151602268218994,
0.5757635831832886,
0.4990066587924957,
0.5949978828430176,
0.5393966436386108,
0.36859130859375,
0.5039578676223755,
0.44677940011024475,
0.44593071937561035,
0.6610785722732544,
0.6336265802383423,
0.6240015029907227,
0.6125602126121521,
0.40944725275039673
] | [
0.4862927496433258,
0.506438136100769,
0.5098608732223511,
0.44527822732925415,
0.742188036441803,
0.3706698417663574,
0.450655072927475,
0.3986542820930481,
0.3838685154914856,
0.2950328290462494,
0.4057651460170746,
0.3349844217300415,
0.4516053795814514,
0.4535163938999176,
0.3253178000450134,
0.2503175139427185,
0.4847007393836975,
0.4627975821495056,
0.35135418176651,
0.4810675382614136,
0.36271932721138,
0.1993120014667511,
0.3945803940296173,
0.27382349967956543,
0.27688074111938477,
0.5305438041687012,
0.5067890286445618,
0.4836190342903137,
0.48237985372543335,
0.242871955037117
] | [
0.6430312395095825,
0.64490807056427,
0.6291265487670898,
0.6126915216445923,
0.8052065968513489,
0.49489718675613403,
0.5978609323501587,
0.5989468097686768,
0.5525366067886353,
0.4929427206516266,
0.605927050113678,
0.5160214900970459,
0.6380228400230408,
0.6003445386886597,
0.5436293482780457,
0.43169665336608887,
0.6373261213302612,
0.6073711514472961,
0.5122267007827759,
0.6248162984848022,
0.5630224943161011,
0.40099406242370605,
0.5365941524505615,
0.47252464294433594,
0.47946828603744507,
0.673621654510498,
0.6439566016197205,
0.6307423114776611,
0.635879397392273,
0.4248813986778259
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Overview of the face recognition grand challenge | [
"Improving the fingerprint verification performance of set partitioning coders at low bit rates",
"Fingerprint classification using one-vs-all support vector machines dynamically ordered with naive Bayes classifiers",
"Neural-based quality measurement of fingerprint images in contactless biometric systems",
"Probability Estimates for Multi-class Classification by Pairwise Coupling",
"A new approach to automatic signature complexity assessment",
"Image Crowd Counting Using Convolutional Neural Network and Markov Random Field",
"Data Augmentation in Emotion Classification Using Generative Adversarial Networks",
"Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining",
"Emotional and psychophysiological responses to tempo , mode , and percussiveness",
"Towards Participatory Action Design Research: Adapting Action Research and Design Science Research Methods for Urban Informatics",
"Automatic Poetry Generation with Mutual Reinforcement Learning",
"A Case Study on Korean Wave: Focused on K-POP Concert by Korean Idol Group in Paris, June 2011",
"REVIEW OF PROVEN TECHNOLOGIES AVAILABLE FOR THE REDUCTION OF RAW SUGAR COLOUR",
"5G Backhaul Challenges and Emerging Research Directions: A Survey",
"Simple Baselines for Human Pose Estimation and Tracking",
"Learning Latent Representations of 3D Human Pose with Deep Neural Networks",
"ARTT taxonomy and cyber-attack Framewok",
"Modified Playfair Cipher using Rectangular Matrix",
"A Metamodel for GDPR-based Privacy Level Agreements",
"Collaborative exploratory search for information filtering and large-scale information triage",
"Network forensic frameworks: Survey and research challenges",
"Text-guided Attention Model for Image Captioning",
"Enterprise Social Media: Definition, History, and Prospects for the Study of Social Technologies in Organizations",
"Bilingualism : The good , the bad , and the indifferent ∗",
"EVO: A Geometric Approach to Event-Based 6-DOF Parallel Tracking and Mapping in Real Time",
"Contextual Semantic Search Navigation",
"Touching a Stranger : Designing for Engaging Experience in Embodied Interaction",
"Reservoir computing approaches to recurrent neural network training",
"Fostering IT-Enabled Business Innovation at YCH Group",
"A Novel Discriminative Framework for Sentence-Level Discourse Analysis"
] | [
0.7837845683097839,
0.8151254653930664,
0.8057823181152344,
0.8008078336715698,
0.8137764930725098,
0.8327515125274658,
0.8059650659561157,
0.7879565954208374,
0.7842036485671997,
0.7863268256187439,
0.8158961534500122,
0.8029718995094299,
0.8317674398422241,
0.8103934526443481,
0.8350045084953308,
0.831731379032135,
0.8137034177780151,
0.8169430494308472,
0.8121159076690674,
0.8290574550628662,
0.8286504745483398,
0.8237594366073608,
0.796165406703949,
0.7905192375183105,
0.8111860156059265,
0.8170621395111084,
0.811455488204956,
0.8098112940788269,
0.8007935285568237,
0.8214945793151855
] | [
0.7834198474884033,
0.811689019203186,
0.790451169013977,
0.7889434099197388,
0.8326212763786316,
0.8191583156585693,
0.785672664642334,
0.7996060252189636,
0.7636169195175171,
0.7677322030067444,
0.7785719037055969,
0.7924233675003052,
0.7877805829048157,
0.7949838638305664,
0.8131645917892456,
0.810009777545929,
0.7990748882293701,
0.8101586103439331,
0.7960794568061829,
0.8172883987426758,
0.803350031375885,
0.7982578277587891,
0.781644344329834,
0.7754656672477722,
0.7839890718460083,
0.809026837348938,
0.7745648622512817,
0.7963600158691406,
0.7673333287239075,
0.7945966720581055
] | [
0.7748352289199829,
0.8089220523834229,
0.7965248823165894,
0.7914342284202576,
0.7956954836845398,
0.825627863407135,
0.7965559363365173,
0.7912489175796509,
0.7816055417060852,
0.7591434717178345,
0.7702087163925171,
0.7768107652664185,
0.7846483588218689,
0.7974119186401367,
0.8047641515731812,
0.7941416501998901,
0.7703940868377686,
0.7835557460784912,
0.7805273532867432,
0.8029234409332275,
0.7970148324966431,
0.7830089926719666,
0.7643331289291382,
0.7742933034896851,
0.7878068685531616,
0.7788821458816528,
0.779525101184845,
0.7845182418823242,
0.7460529208183289,
0.7618776559829712
] | [
0.5892837047576904,
0.5971423387527466,
0.6249954700469971,
0.6213923096656799,
0.5696276426315308,
0.5846423506736755,
0.5750089883804321,
0.5856017470359802,
0.4162074625492096,
0.3992847800254822,
0.47563838958740234,
0.3643583059310913,
0.4560511112213135,
0.4711185693740845,
0.6443274021148682,
0.6149923801422119,
0.5091511607170105,
0.49239134788513184,
0.517240047454834,
0.4974050521850586,
0.4858463406562805,
0.5817092657089233,
0.44496405124664307,
0.44143015146255493,
0.5415606498718262,
0.48008376359939575,
0.510406494140625,
0.5541888475418091,
0.40701788663864136,
0.5108736753463745
] | [
0.44942688941955566,
0.4554567337036133,
0.5163422226905823,
0.4896029531955719,
0.42086654901504517,
0.45520395040512085,
0.4673835039138794,
0.4538004994392395,
0.22978773713111877,
0.20989173650741577,
0.30739861726760864,
0.2536665201187134,
0.2893052101135254,
0.33522096276283264,
0.5215444564819336,
0.5004357099533081,
0.3405429720878601,
0.3574061989784241,
0.3695327639579773,
0.3061234951019287,
0.32657569646835327,
0.39712023735046387,
0.2739773392677307,
0.2313530296087265,
0.394643634557724,
0.2836807370185852,
0.37050607800483704,
0.3886170983314514,
0.2738984525203705,
0.314755916595459
] | [
0.5918191075325012,
0.6019386053085327,
0.6357760429382324,
0.6330091953277588,
0.5848206281661987,
0.6022547483444214,
0.5894504189491272,
0.6066911816596985,
0.46305859088897705,
0.4207947850227356,
0.5002932548522949,
0.42213714122772217,
0.4854910373687744,
0.48866337537765503,
0.6579633951187134,
0.6158320903778076,
0.5223547220230103,
0.5194531679153442,
0.5213092565536499,
0.5196397304534912,
0.5038591623306274,
0.6012150049209595,
0.4696013927459717,
0.4757847189903259,
0.5591915249824524,
0.5043307542800903,
0.5330102443695068,
0.5750061273574829,
0.4158746600151062,
0.5509057641029358
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Review of Relation Extraction Methods: What Is New Out There? | [
"End-to-end Relation Extraction using Neural Networks and Markov Logic Networks",
"CORE: Context-Aware Open Relation Extraction with Factorization Machines",
"MinIE: Minimizing Facts in Open Information Extraction",
"JEDI: Joint Entity and Relation Detection using Type Inference",
"Analysing Errors of Open Information Extraction Systems",
"End-To-End Memory Networks",
"Putting Pieces Together: Combining FrameNet, VerbNet and WordNet for Robust Semantic Parsing",
"Visualizing LSTM decisions",
"False Positive and False Negative Results in Urine Drug Screening Tests: Tampering Methods and Specimen Integrity Tests",
"Efficient Dense Point Cloud Object Reconstruction Using Deformation Vector Fields",
"The epidemiology of bacterial vaginosis in relation to sexual behaviour",
"Successor Features for Transfer in Reinforcement Learning",
"Generating ER Diagrams from Requirement Specifications Based On Natural Language Processing",
"Context-sensitive multimodal emotion recognition from speech and facial expression using bidirectional LSTM modeling",
"Liquid biopsy: monitoring cancer-genetics in the blood",
"Understanding Participation in Sharing Economy: the Roles of Convenience, Risk, and regulatory FOC I",
"Integral Human Pose Regression",
"node2vec: Scalable Feature Learning for Networks",
"DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks",
"Oruta: Privacy-Preserving Public Auditing for Shared Data in the Cloud",
"Using Word Embeddings for Automatic Query Expansion",
"Hierarchical classification of Web content",
"Translingual Mining from Text Data",
"A deep learning framework for unsupervised affine and deformable image registration",
"Games with Incomplete Information Played by \"Bayesian\" Players, I-III: Part I. The Basic Model&",
"Recurrent neural network and LSTM models for lexical utterance classification",
"Performance Engineering of Software Systems",
"Learning Deep CNN Denoiser Prior for Image Restoration",
"Existential meaning's role in the enhancement of hope and prevention of depressive symptoms.",
"Brain plasticity and functional losses in the aged: scientific bases for a novel intervention."
] | [
0.8888852596282959,
0.883151650428772,
0.8515439629554749,
0.8625538945198059,
0.8478494882583618,
0.8119617700576782,
0.8116117119789124,
0.8015735149383545,
0.8184125423431396,
0.79022216796875,
0.7962251305580139,
0.8344826102256775,
0.8384206295013428,
0.78885418176651,
0.8064899444580078,
0.8149800896644592,
0.8187076449394226,
0.8201706409454346,
0.8380945920944214,
0.8107808232307434,
0.8259158134460449,
0.8205095529556274,
0.8345674276351929,
0.8110438585281372,
0.7999439239501953,
0.8244190812110901,
0.7830571532249451,
0.8188266754150391,
0.7972548007965088,
0.8013948202133179
] | [
0.8624639511108398,
0.8426940441131592,
0.8339983820915222,
0.8356093168258667,
0.8432459831237793,
0.8100135922431946,
0.8262401819229126,
0.8114432096481323,
0.7961600422859192,
0.7924600839614868,
0.7817214727401733,
0.8053362965583801,
0.8215789794921875,
0.7851232886314392,
0.7992624044418335,
0.7899774312973022,
0.7834848165512085,
0.8041344881057739,
0.7971879243850708,
0.7852293848991394,
0.8357006311416626,
0.8178757429122925,
0.8316068649291992,
0.7889291644096375,
0.8134227991104126,
0.8092843890190125,
0.7788969278335571,
0.7807872295379639,
0.7847435474395752,
0.8133804798126221
] | [
0.8573248982429504,
0.8580406308174133,
0.8171492218971252,
0.8358539342880249,
0.8266797661781311,
0.7949020862579346,
0.7915480136871338,
0.7959598302841187,
0.7819980382919312,
0.7574863433837891,
0.7719571590423584,
0.765876054763794,
0.8048299551010132,
0.7875932455062866,
0.7877732515335083,
0.7805159091949463,
0.7834112644195557,
0.7845557928085327,
0.7887136936187744,
0.7796447277069092,
0.804936408996582,
0.7878118753433228,
0.8232907652854919,
0.7671389579772949,
0.7742551565170288,
0.7894971370697021,
0.7507988214492798,
0.743038535118103,
0.7669699192047119,
0.7856797575950623
] | [
0.8463356494903564,
0.8176162242889404,
0.7138913869857788,
0.7821953892707825,
0.6953943967819214,
0.5108593702316284,
0.6823559999465942,
0.556623637676239,
0.4368020296096802,
0.4388350546360016,
0.43650954961776733,
0.5055573582649231,
0.5912633538246155,
0.5679306983947754,
0.43682408332824707,
0.44703084230422974,
0.46971678733825684,
0.5962150692939758,
0.5021018981933594,
0.42464160919189453,
0.6612890362739563,
0.590620219707489,
0.6690467596054077,
0.42429614067077637,
0.44703495502471924,
0.5759637355804443,
0.4328346252441406,
0.37426355481147766,
0.4046834111213684,
0.4220581650733948
] | [
0.8025192022323608,
0.7708967924118042,
0.6423221826553345,
0.7094576358795166,
0.6212819814682007,
0.3444517254829407,
0.5933252573013306,
0.41186749935150146,
0.2756848633289337,
0.2769460678100586,
0.27188390493392944,
0.34159713983535767,
0.48714959621429443,
0.4499836564064026,
0.26302075386047363,
0.2700723707675934,
0.2992047667503357,
0.4386698603630066,
0.34977129101753235,
0.2776375412940979,
0.568352460861206,
0.46022742986679077,
0.5335954427719116,
0.2676439881324768,
0.26005256175994873,
0.45025041699409485,
0.2330048382282257,
0.1922413855791092,
0.29181286692619324,
0.23142856359481812
] | [
0.8445576429367065,
0.8228447437286377,
0.7277893424034119,
0.7781841158866882,
0.7052595019340515,
0.5408083200454712,
0.6889095306396484,
0.5712314248085022,
0.4594234228134155,
0.47058284282684326,
0.4556514322757721,
0.5362486243247986,
0.604766309261322,
0.5807196497917175,
0.45327070355415344,
0.46743136644363403,
0.5030655860900879,
0.6069293022155762,
0.522425651550293,
0.43915998935699463,
0.6597263813018799,
0.5945278406143188,
0.6677525043487549,
0.4502999782562256,
0.4715995788574219,
0.5811331868171692,
0.4623270630836487,
0.40206247568130493,
0.4464455246925354,
0.4415958821773529
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
BIM Studio-An Immersive Curricular Tool for Construction Project Management Education | [
"RFID-Assisted Lifecycle Management of Building Components Using BIM Data",
"BIM AND AGENT-BASED MODEL INTEGRATION FOR CONSTRUCTION MANAGEMENT OPTIMIZATION",
"The Five Components of BIM Performance Measurement",
"BIM Integrated Workflow Management and Monitoring System for Modular Buildings",
"ESTIMATING WITH BIM : A SURVEY OF US CONSTRUCTION COMPANIES",
"Framing-effects approach : A theoretical and methodological critique",
"Grounded cognition.",
"A review on locomotion robophysics: the study of movement at the intersection of robotics, soft matter and dynamical systems",
"Realtime Depth Estimation and Obstacle Detection from Monocular Video",
"A Model for Text Summarization",
"Illumination Invariant Face Recognition: A Survey",
"Privacy and analytics: it's a DELICATE issue a checklist for trusted learning analytics",
"Pediatric injuries from needles discarded in the community: epidemiology and risk of seroconversion.",
"Affordances and Product Design to Support Environmentally Conscious Behavior",
"Citation Recommendation Using Distributed Representation of Discourse Facets in Scientific Articles",
"A Comparative Study of Alternative FACS Coding Algorithms",
"GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism",
"Neural Network-Based Face Detection",
"Requirements Engineering as a Success Factor in Software Projects",
"Knowledge Base Population using Semantic Label Propagation",
"Multi-Level Sequence GAN for Group Activity Recognition",
"Ontology Population and Enrichment: State of the Art",
"Aligning Users across Social Networks Using Network Embedding",
"Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification",
"Anomaly Detection and Root Cause Analysis for LTE Radio Base Stations",
"Recent Advances in Active Noise Control Inside Automobile Cabins: Toward quieter cars",
"Applications of Deep Learning to Sentiment Analysis of Movie Reviews",
"Compressed Sensing: Theory and Applications",
"Temporal Connectives in a Discourse Context"
] | [
0.8678776025772095,
0.8842632174491882,
0.8679872751235962,
0.8853113651275635,
0.883060872554779,
0.8090487122535706,
0.7955387234687805,
0.8140150308609009,
0.7924242615699768,
0.7942507863044739,
0.7950729131698608,
0.8228802680969238,
0.7710477113723755,
0.8062343597412109,
0.7895652055740356,
0.7869362831115723,
0.8208900690078735,
0.7840734720230103,
0.8320515155792236,
0.7810308933258057,
0.7926208972930908,
0.8072916865348816,
0.7917552590370178,
0.8215914964675903,
0.799705982208252,
0.7912870645523071,
0.7930984497070312,
0.7901425957679749,
0.7909219264984131
] | [
0.8377385139465332,
0.8557449579238892,
0.8524075746536255,
0.8624187707901001,
0.8575576543807983,
0.7849566340446472,
0.7772035002708435,
0.7880340814590454,
0.7953509092330933,
0.7835997343063354,
0.779962420463562,
0.7988265752792358,
0.7497208118438721,
0.7841362357139587,
0.7500416040420532,
0.7653578519821167,
0.7972460985183716,
0.7619370222091675,
0.8043839335441589,
0.7710714340209961,
0.7659751176834106,
0.7904500365257263,
0.7734614610671997,
0.7927408218383789,
0.7590991258621216,
0.7762758731842041,
0.760731041431427,
0.7860283851623535,
0.760094404220581
] | [
0.8296396732330322,
0.846713662147522,
0.8309450149536133,
0.8581411242485046,
0.8475872874259949,
0.7594479322433472,
0.7655186653137207,
0.7644774913787842,
0.7768524289131165,
0.757082462310791,
0.7729396820068359,
0.7831894159317017,
0.7177219986915588,
0.7589820027351379,
0.7584668397903442,
0.737378716468811,
0.7759389877319336,
0.7238016128540039,
0.7854007482528687,
0.7476760149002075,
0.754635214805603,
0.7587255239486694,
0.7463440895080566,
0.7548693418502808,
0.7474760413169861,
0.7564734220504761,
0.7428855895996094,
0.743278980255127,
0.7701261043548584
] | [
0.6915425062179565,
0.7438663244247437,
0.7337895035743713,
0.756969153881073,
0.7715164422988892,
0.537970781326294,
0.5825569033622742,
0.5082686543464661,
0.46492043137550354,
0.42102697491645813,
0.4257364571094513,
0.5099471807479858,
0.33624446392059326,
0.603975772857666,
0.4233759045600891,
0.43076619505882263,
0.43855538964271545,
0.40472644567489624,
0.5796300172805786,
0.4326040744781494,
0.4499287009239197,
0.47729480266571045,
0.38327085971832275,
0.4216764569282532,
0.37086695432662964,
0.46813786029815674,
0.3899516463279724,
0.444007933139801,
0.4149184823036194
] | [
0.6082315444946289,
0.6546614766120911,
0.6807702779769897,
0.6816146969795227,
0.7019556164741516,
0.39043426513671875,
0.44711557030677795,
0.3428102135658264,
0.34910622239112854,
0.2636467516422272,
0.30566102266311646,
0.38224947452545166,
0.1842958927154541,
0.458537757396698,
0.2732059955596924,
0.30846476554870605,
0.30649855732917786,
0.2637994885444641,
0.4271325469017029,
0.2930302917957306,
0.32921135425567627,
0.3126791715621948,
0.22821474075317383,
0.30346760153770447,
0.2245877981185913,
0.3189404010772705,
0.22415989637374878,
0.286793053150177,
0.2805354595184326
] | [
0.6941149234771729,
0.7378772497177124,
0.7407640218734741,
0.7497913241386414,
0.7600760459899902,
0.560671329498291,
0.5976727604866028,
0.5391929745674133,
0.4882431626319885,
0.44512075185775757,
0.45540541410446167,
0.5229907631874084,
0.3770143389701843,
0.620009183883667,
0.44926905632019043,
0.46675583720207214,
0.4588755965232849,
0.43614065647125244,
0.5851706266403198,
0.4580047130584717,
0.470575749874115,
0.49870815873146057,
0.41486209630966187,
0.4423079192638397,
0.4067648649215698,
0.5084115862846375,
0.4202212691307068,
0.4689607620239258,
0.4558255076408386
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Contour Detection and Hierarchical Image Segmentation | [
"A novel segmentation algorithm for MRI brain tumor images",
"UMAN WAYFINDING IN UNFAMILIAR BUILDINGS : A SIMULATION WITH A COGNIZING AGENT",
"A Unified Building Model for 3D Urban GIS",
"Content-Based Image Retrieval : Theory and Applications 2 Basic Concepts",
"Cognition Meets Le Corbusier-Cognitive Principles of Architectural Design",
"ARTIFICIAL INTELLIGENCE IN MEDICAL APPLICATION: AN EXPLORATION",
"K nearest neighbor for text summarization using feature similarity",
"A User Simulator for Task-Completion Dialogues",
"Context-Dependent Word Representation for Neural Machine Translation",
"An Insight Extraction System on BioMedical Literature with Deep Neural Networks",
"Learning to Reweight Examples for Robust Deep Learning",
"Unsupervised Sentence Representations as Word Information Series: Revisiting TF-IDF",
"A Survey on Latest DoS Attacks:Classificationand Defense Mechanisms",
"HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment",
"Apache Spark: a unified engine for big data processing",
"Friending, IMing, and hanging out face-to-face: overlap in adolescents' online and offline social networks.",
"Methodology for the systematic reviews on occupational therapy for adults with Alzheimer's disease and related dementias.",
"Fingerprint Identification and Verification System using Minutiae Matching",
"Concept Extraction from Student Essays, Towards Concept Map Mining",
"Tumor detection using threshold operation in MRI brain images",
"I2T2I: Learning text to image synthesis with textual data augmentation",
"Towards Conceptual Compression",
"Hamiltonian Descent Methods",
"Seismic Retrofit for Reinforced Concrete Building Structures",
"A comparison of methods to test mediation and other intervening variable effects.",
"A Wireless Sensor Network Deployment for Rural and Forest Fire Detection and Verification",
"Securing Bitcoin wallets via a new DSA / ECDSA threshold signature scheme",
"Why software fails [software failure]",
"A Survey of Model Comparison Approaches and Applications",
"SoK: Fraud in Telephony Networks"
] | [
0.8619369864463806,
0.8120209574699402,
0.8287175893783569,
0.8675065040588379,
0.8090813159942627,
0.8212066292762756,
0.8120261430740356,
0.810499906539917,
0.8367286920547485,
0.8242548704147339,
0.8283579349517822,
0.813787579536438,
0.798672616481781,
0.8311526775360107,
0.8170532584190369,
0.8061913847923279,
0.7695175409317017,
0.8293930292129517,
0.817093014717102,
0.8520253896713257,
0.8405556678771973,
0.836920976638794,
0.8333252668380737,
0.7918559312820435,
0.8051681518554688,
0.8247168064117432,
0.8103959560394287,
0.799690842628479,
0.8441655039787292,
0.8005193471908569
] | [
0.8272892832756042,
0.7855493426322937,
0.7989215850830078,
0.8295146226882935,
0.7901077270507812,
0.7931423783302307,
0.7852188348770142,
0.7764989137649536,
0.7804996967315674,
0.7886830568313599,
0.8038268089294434,
0.7689902782440186,
0.7941817045211792,
0.7774146795272827,
0.797039270401001,
0.7631513476371765,
0.7757797241210938,
0.797020673751831,
0.8056464195251465,
0.8275095820426941,
0.807965874671936,
0.8132385611534119,
0.8076741695404053,
0.7768004536628723,
0.7787419557571411,
0.7965256571769714,
0.7818718552589417,
0.7839685082435608,
0.8092403411865234,
0.7862145900726318
] | [
0.8050602078437805,
0.773891806602478,
0.7571610808372498,
0.7997689247131348,
0.7820361852645874,
0.7801578044891357,
0.7663257122039795,
0.759705662727356,
0.7567605972290039,
0.7876213192939758,
0.7691793441772461,
0.7592796683311462,
0.7873762845993042,
0.7661072015762329,
0.772311806678772,
0.7559365630149841,
0.763857364654541,
0.8145184516906738,
0.7654112577438354,
0.8100288510322571,
0.7827789187431335,
0.780617892742157,
0.8096129894256592,
0.7617125511169434,
0.7646666169166565,
0.7980417013168335,
0.7775337100028992,
0.7522358894348145,
0.792647123336792,
0.7698464393615723
] | [
0.7104350924491882,
0.547605574131012,
0.5827875137329102,
0.7022011280059814,
0.5043813586235046,
0.5657985210418701,
0.5432813167572021,
0.44084876775741577,
0.4855037331581116,
0.5298140645027161,
0.5265240669250488,
0.4792158901691437,
0.42864513397216797,
0.5058804750442505,
0.5353699922561646,
0.3881211578845978,
0.4143150746822357,
0.583828330039978,
0.5427355766296387,
0.7010425329208374,
0.5094985961914062,
0.5287238359451294,
0.5797673463821411,
0.3819422125816345,
0.41118910908699036,
0.5418921709060669,
0.41919347643852234,
0.393931120634079,
0.5882013440132141,
0.4599287509918213
] | [
0.633897066116333,
0.4160926938056946,
0.4491288661956787,
0.5951822996139526,
0.38913851976394653,
0.43561917543411255,
0.3917921781539917,
0.291004478931427,
0.2907998263835907,
0.3853429853916168,
0.3753660321235657,
0.27813902497291565,
0.2634548842906952,
0.362863689661026,
0.36769169569015503,
0.1980167031288147,
0.26404327154159546,
0.4485850930213928,
0.39758846163749695,
0.5957001447677612,
0.36843496561050415,
0.3918120861053467,
0.4563083052635193,
0.21100006997585297,
0.2407473921775818,
0.39461466670036316,
0.2700008451938629,
0.3101857900619507,
0.4570116698741913,
0.30841898918151855
] | [
0.7225594520568848,
0.5742180347442627,
0.6042312383651733,
0.712051510810852,
0.5328607559204102,
0.5718010663986206,
0.5598801374435425,
0.48368439078330994,
0.5094230771064758,
0.5436865091323853,
0.541590690612793,
0.5039472579956055,
0.45830073952674866,
0.5254768133163452,
0.5557639598846436,
0.4100135862827301,
0.42976248264312744,
0.6015066504478455,
0.5615034103393555,
0.7071272134780884,
0.5213348269462585,
0.5535057783126831,
0.6045323610305786,
0.4330940246582031,
0.4468058943748474,
0.5704073905944824,
0.4543287456035614,
0.4092293679714203,
0.600283145904541,
0.49491187930107117
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues Knowle | [
"Entrepreneurial Human Resource Strategy",
"Impact of Dictionaries on Automated Content Analysis - The Use of Compound Concepts in Analysing Knowledge Management Research",
"The Effect of Compensation on Repurchase Intentions in Service Recovery",
"Issues in Strategic Decision Modelling",
"E-RECRUITMENT: A ROADMAP TOWARDS E- HUMAN RESOURCE MANAGEMENT",
"Garlic: a review of potential therapeutic effects",
"The Therac-25: 30 Years Later",
"Learning Segmentation Masks with the Independence Prior",
"Spatio-Temporal Data Mining for Climate Data : Advances , Challenges , and Opportunities",
"Transnational families and the family nexus: perspectives of Indonesian and Filipino children left behind by migrant parent(s).",
"A Review of Real-Time Strategy Game AI",
"Managing Knowledge in Organizations: An Integrative Framework and Review of Emerging Themes",
"Making Neural Programming Architectures Generalize via Recursion",
"Punica granatum (pomegranate) and its potential for prevention and treatment of inflammation and cancer.",
"Trust management for the internet of things and its application to service composition",
"Heart Rate Variability Biofeedback for Major Depression",
"MUTE: Majority under-sampling technique",
"Context Encoding for Semantic Segmentation",
"2Q: A Low Overhead High Performance Buffer Management Replacement Algorithm",
"Using self-report assessment methods to explore facets of mindfulness.",
"CloudFridge: A Testbed for Smart Fridge Interactions",
"A Survey of Fog Computing: Concepts, Applications and Issues",
"Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering",
"IOT Based Smart Agriculture System",
"Principled Uncertainty Estimation for Deep Neural Networks",
"State-of-the-Art Speech Recognition with Sequence-to-Sequence Models",
"Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games",
"Incremental Subgraph Feature Selection for Graph Classification",
"Using ICT with people with special education needs: what the literature tells us"
] | [
0.8247047662734985,
0.8555510640144348,
0.7931739687919617,
0.8394664525985718,
0.8197890520095825,
0.7846965789794922,
0.7676776647567749,
0.7904950380325317,
0.7898898720741272,
0.7961947917938232,
0.8046002984046936,
0.857286810874939,
0.7879202961921692,
0.7773524522781372,
0.81534743309021,
0.7925965785980225,
0.8034059405326843,
0.8023309707641602,
0.783637523651123,
0.8110882639884949,
0.7917420864105225,
0.8233245611190796,
0.7723650932312012,
0.7918269634246826,
0.7757028341293335,
0.7994437217712402,
0.7786524891853333,
0.7898078560829163,
0.8111393451690674
] | [
0.793353796005249,
0.8544875979423523,
0.7770107984542847,
0.8142223954200745,
0.8098541498184204,
0.7640816569328308,
0.7807248830795288,
0.7826244235038757,
0.774215817451477,
0.7744734287261963,
0.7665657997131348,
0.8536267280578613,
0.7802889347076416,
0.7785760760307312,
0.8029211759567261,
0.7747468948364258,
0.7905380725860596,
0.7742031812667847,
0.7928280830383301,
0.7905428409576416,
0.7770506739616394,
0.8072183132171631,
0.7791038155555725,
0.7817461490631104,
0.7818384766578674,
0.7707958221435547,
0.7760095596313477,
0.7580233812332153,
0.7876834273338318
] | [
0.7730821967124939,
0.8241782784461975,
0.76942378282547,
0.7903751134872437,
0.7831276655197144,
0.7500971555709839,
0.7678415775299072,
0.7297660112380981,
0.7484219074249268,
0.7582046389579773,
0.7690871953964233,
0.8238582611083984,
0.7679250240325928,
0.7776347398757935,
0.7568899393081665,
0.7650412321090698,
0.7676568031311035,
0.7618283033370972,
0.7703734040260315,
0.7825577259063721,
0.7761365175247192,
0.8005697131156921,
0.7567121982574463,
0.7478376626968384,
0.7678111791610718,
0.7617589235305786,
0.7661786079406738,
0.7518876791000366,
0.7655104398727417
] | [
0.5582926869392395,
0.7557432651519775,
0.5044616460800171,
0.6319544911384583,
0.6558693051338196,
0.4077269434928894,
0.4208221435546875,
0.33533525466918945,
0.492814838886261,
0.42914193868637085,
0.46756207942962646,
0.8332582712173462,
0.41399243474006653,
0.4336533844470978,
0.5599777698516846,
0.4027809500694275,
0.42149049043655396,
0.4447749853134155,
0.411257266998291,
0.5131643414497375,
0.5156998038291931,
0.48356717824935913,
0.4287775754928589,
0.4932266175746918,
0.386247456073761,
0.4155089855194092,
0.51169753074646,
0.46215736865997314,
0.5380551815032959
] | [
0.43415558338165283,
0.6911125779151917,
0.3329315483570099,
0.49284932017326355,
0.5321642756462097,
0.2503652274608612,
0.3033463954925537,
0.16120383143424988,
0.32645291090011597,
0.27970752120018005,
0.3025529980659485,
0.8074363470077515,
0.2529955804347992,
0.27578866481781006,
0.4319459795951843,
0.23511643707752228,
0.23506203293800354,
0.2862132489681244,
0.26540911197662354,
0.3596961796283722,
0.37964141368865967,
0.3213809132575989,
0.2481478899717331,
0.3654162287712097,
0.206488698720932,
0.21008437871932983,
0.33479583263397217,
0.30715060234069824,
0.40931153297424316
] | [
0.5861458778381348,
0.7377985715866089,
0.5248376131057739,
0.640140950679779,
0.6514724493026733,
0.43239811062812805,
0.46111124753952026,
0.35953181982040405,
0.5026295781135559,
0.4769569933414459,
0.4986583888530731,
0.7895515561103821,
0.44122689962387085,
0.4615994393825531,
0.5453134179115295,
0.43566352128982544,
0.4381597638130188,
0.45442330837249756,
0.4434989094734192,
0.538704514503479,
0.5335706472396851,
0.4918580949306488,
0.4445668160915375,
0.5084292888641357,
0.4186590909957886,
0.4271640479564667,
0.5251343250274658,
0.4594118893146515,
0.5456081032752991
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition | [
"Turkish Natural Language Processing",
"The devil is in the details: an evaluation of recent feature encoding methods",
"Translating Videos to Natural Language Using Deep Recurrent Neural Networks",
"Changing Teacher Beliefs PRIME Leadership Standards PLCs in Guatemala",
"Learning and example selection for object and pattern detection",
"Deep Reinforcement Learning For Sequence to Sequence Models",
"Long Short-Term Memory for Japanese Word Segmentation",
"The functional logic of corticostriatal connections",
"Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm.",
"Modeling Mention, Context and Entity with Neural Networks for Entity Disambiguation",
"Abnormal Event Detection in Videos Using Spatiotemporal Autoencoder",
"A 2.4 GHz-868 MHz dual-band wake-up radio for wireless sensor network and IoT",
"What makes distributed practice effective?",
"A triple active bridge DC-DC converter capable of achieving full-range ZVS",
"Impact of Job Related Stress on Employee Performance : A Review and Research Agenda",
"An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing",
"Life and Understanding: The Origins of “Understanding” in Self-Organizing Nervous Systems",
"Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction",
"Sensor networks for emergency response: challenges and opportunities",
"Power Waves and the Scattering Matrix",
"Incremental Algorithms for Hierarchical Classification",
"Processing Social Media Images by Combining Human and Machine Computing during Crises",
"Educational Robots : Three Models for the Research of Learning Theories and Human-Robot Interaction",
"Global software engineering and agile practices: a systematic review",
"An Experiment of Influences of Facebook Posts in Other Users",
"Conceptual and methodological issues in research on mindfulness and meditation.",
"Location Systems for Ubiquitous Computing",
"Data restoration and file carving",
"Word Length and the Structure of Short-Term Memory",
"How youth get engaged: grounded-theory research on motivational development in organized youth programs."
] | [
0.7854578495025635,
0.8304089307785034,
0.8400895595550537,
0.7646883726119995,
0.8331252932548523,
0.8667352199554443,
0.8178421854972839,
0.8050454258918762,
0.8023295402526855,
0.8540369272232056,
0.847733736038208,
0.769893229007721,
0.7559223175048828,
0.7926590442657471,
0.7561084032058716,
0.8150695562362671,
0.8055881261825562,
0.811218798160553,
0.8087781667709351,
0.8021799325942993,
0.8388063907623291,
0.8243011236190796,
0.8179486989974976,
0.7802671194076538,
0.7960395216941833,
0.7636812329292297,
0.8360662460327148,
0.7949246168136597,
0.8050212860107422,
0.7934002876281738
] | [
0.7930824756622314,
0.8002766370773315,
0.8391600847244263,
0.754008412361145,
0.819337010383606,
0.818202555179596,
0.7825964093208313,
0.7972680330276489,
0.7993366718292236,
0.8096942901611328,
0.8229295015335083,
0.7526297569274902,
0.7254002094268799,
0.7578607797622681,
0.7369256019592285,
0.7865575551986694,
0.7923116087913513,
0.790329098701477,
0.7813374996185303,
0.7960090637207031,
0.8071069121360779,
0.8179760575294495,
0.7719732522964478,
0.7739336490631104,
0.7706375122070312,
0.7557324171066284,
0.7923274040222168,
0.7648078203201294,
0.78333580493927,
0.7627187371253967
] | [
0.7701272964477539,
0.7956902384757996,
0.8238641619682312,
0.728767454624176,
0.7889165878295898,
0.823399007320404,
0.803086519241333,
0.7719671726226807,
0.7804582715034485,
0.7822060585021973,
0.8042705059051514,
0.7598016262054443,
0.7208963632583618,
0.7441935539245605,
0.7017105221748352,
0.792954683303833,
0.7664034366607666,
0.7595496773719788,
0.7691096663475037,
0.771354079246521,
0.7954815626144409,
0.793448269367218,
0.7785539627075195,
0.7393225431442261,
0.7355655431747437,
0.738361120223999,
0.7488992810249329,
0.7498340606689453,
0.7824759483337402,
0.7603135108947754
] | [
0.5201615691184998,
0.6621319651603699,
0.6384800672531128,
0.32015615701675415,
0.690868079662323,
0.5602103471755981,
0.6261179447174072,
0.471525102853775,
0.6016829013824463,
0.5369985103607178,
0.6118068099021912,
0.37661874294281006,
0.3988308012485504,
0.35908111929893494,
0.35942262411117554,
0.42784008383750916,
0.4897773563861847,
0.572219967842102,
0.4575432538986206,
0.507402777671814,
0.6358087062835693,
0.5871939659118652,
0.4834115207195282,
0.3630831837654114,
0.4380974769592285,
0.42864277958869934,
0.47806888818740845,
0.5009973645210266,
0.5559096336364746,
0.4311179518699646
] | [
0.3666244149208069,
0.5516741871833801,
0.5235152244567871,
0.21344727277755737,
0.5701264142990112,
0.4360232353210449,
0.5092402696609497,
0.32526034116744995,
0.4754447937011719,
0.39205998182296753,
0.4904384911060333,
0.21524301171302795,
0.31608110666275024,
0.20241953432559967,
0.2057211697101593,
0.302085816860199,
0.3540184497833252,
0.42713484168052673,
0.2800207734107971,
0.3377907872200012,
0.520159125328064,
0.4598444104194641,
0.3290524482727051,
0.20028001070022583,
0.2640264928340912,
0.2987457513809204,
0.2787460684776306,
0.3576352000236511,
0.43630343675613403,
0.285962849855423
] | [
0.5379412770271301,
0.6595897674560547,
0.6451793909072876,
0.36179667711257935,
0.6897114515304565,
0.5826283693313599,
0.6409556269645691,
0.5112826824188232,
0.6034352779388428,
0.5497907400131226,
0.6180181503295898,
0.41349953413009644,
0.4296572804450989,
0.393375426530838,
0.3925340175628662,
0.45353344082832336,
0.5119725465774536,
0.5868780612945557,
0.47538942098617554,
0.539981484413147,
0.6467255353927612,
0.6056598424911499,
0.5081178545951843,
0.3927308917045593,
0.47759324312210083,
0.44747525453567505,
0.49940603971481323,
0.5406274795532227,
0.5938782095909119,
0.45068657398223877
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Usage history of scientific literature: Nature metrics and metrics of Nature publications | [
"Usefulness of altmetrics for measuring the broader impact of research: A case study using data from PLOS and F1000Prime",
"Open practices and identity: Evidence from researchers and educators' social media participation",
"Open access, readership, citations: a randomized controlled trial of scientific journal publishing.",
"A Qualitative Approach to Assessing Technological Pedagogical Content Knowledge",
"Facebook groups as LMS: A case study",
"Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning",
"Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention",
"Journey from Data Mining to Web Mining to Big Data",
"Silymarin/Silybin and Chronic Liver Disease: A Marriage of Many Years",
"Interaction in the segmentation of medical images: A survey",
"Robust Object Tracking with Online Multiple Instance Learning",
"The use of biomedicine, complementary and alternative medicine, and ethnomedicine for the treatment of epilepsy among people of South Asian origin in the UK",
"Alzheimer's disease diagnostics by adaptation of 3D convolutional network",
"A comparative study on temporal database models: A survey",
"Machine Learning for Dialog State Tracking: A Review",
"“Fitspiration” on Social Media: A Content Analysis of Gendered Images",
"A Case Study of the Rustock Rootkit and Spam Bot",
"A Survey on Deep Learning in Big Data",
"Overview of the FIRE 2016 Microblog track: Information Extraction from Microblogs Posted during Disasters",
"Intelligent defense using pretense against targeted attacks in cloud platforms",
"A Wireless Sensor Network Air Pollution Monitoring System",
"CanTree: a canonical-order tree for incremental frequent-pattern mining",
"Central fatigue. Critical issues, quantification and practical implications.",
"Brain Mechanisms in Early Language Acquisition",
"Creating Virtual Universes Using Generative Adversarial Networks",
"Efficient physical defect model applied to PBTI in high-κ stacks",
"The Effect of Syntactic Representation on Semantic Role Labeling",
"A sex difference in features that elicit genital response",
"Digital Discrimination : The Case of Airbnb",
"Performance Analysis of Mixed-ADC Massive MIMO Systems Over Rician Fading Channels"
] | [
0.8686400651931763,
0.8420060276985168,
0.8533754348754883,
0.8344911336898804,
0.827085554599762,
0.7818381786346436,
0.8017615079879761,
0.8173325061798096,
0.8317508697509766,
0.8191146850585938,
0.7836790680885315,
0.8159981966018677,
0.7957413196563721,
0.8307986259460449,
0.7942876815795898,
0.8242490291595459,
0.8093786835670471,
0.8072564601898193,
0.8314753174781799,
0.7876336574554443,
0.7890866994857788,
0.8217757344245911,
0.8266928195953369,
0.804438054561615,
0.7900457382202148,
0.7760377526283264,
0.8099606037139893,
0.8062247037887573,
0.7927408218383789,
0.7687883377075195
] | [
0.8165099620819092,
0.804702877998352,
0.8349186778068542,
0.786626935005188,
0.8143166303634644,
0.741072952747345,
0.7716578841209412,
0.7946944236755371,
0.8064575791358948,
0.7979940176010132,
0.745006799697876,
0.7915058732032776,
0.7654750347137451,
0.7870208024978638,
0.7614277601242065,
0.7802872657775879,
0.7946616411209106,
0.783115565776825,
0.8156565427780151,
0.7720171213150024,
0.7725337743759155,
0.7601785659790039,
0.7993245124816895,
0.7964967489242554,
0.7653184533119202,
0.73933345079422,
0.7849071621894836,
0.7810532450675964,
0.7722995281219482,
0.762732982635498
] | [
0.8301041126251221,
0.7980220317840576,
0.8615754842758179,
0.7598181962966919,
0.7898650169372559,
0.7415890097618103,
0.7605435252189636,
0.8100130558013916,
0.7994979619979858,
0.769882321357727,
0.751605212688446,
0.7878510355949402,
0.7738449573516846,
0.7638729810714722,
0.7513408660888672,
0.7749048471450806,
0.7988598346710205,
0.7751840353012085,
0.7974778413772583,
0.7475706934928894,
0.7581139802932739,
0.7864600419998169,
0.8017277717590332,
0.7646022439002991,
0.7655574083328247,
0.7538682222366333,
0.7708010673522949,
0.7911949157714844,
0.7738872766494751,
0.7277706265449524
] | [
0.7871180772781372,
0.6272215843200684,
0.7207936644554138,
0.5976531505584717,
0.5275890827178955,
0.38203856348991394,
0.4262397885322571,
0.6158084869384766,
0.4614403247833252,
0.5052738189697266,
0.436301589012146,
0.471195250749588,
0.4935612678527832,
0.5150406360626221,
0.48485803604125977,
0.5628023743629456,
0.49771344661712646,
0.5069150924682617,
0.5635392665863037,
0.4290551245212555,
0.45263540744781494,
0.5598941445350647,
0.5063450336456299,
0.45899999141693115,
0.49859607219696045,
0.40361833572387695,
0.5337638258934021,
0.4601753354072571,
0.5081927180290222,
0.3857506811618805
] | [
0.7416322827339172,
0.4974205493927002,
0.6491190791130066,
0.4451639652252197,
0.3917738199234009,
0.22746923565864563,
0.28292059898376465,
0.5068804621696472,
0.32095134258270264,
0.33166223764419556,
0.2841980755329132,
0.32609808444976807,
0.34278297424316406,
0.3630298972129822,
0.3401493430137634,
0.41583871841430664,
0.38492530584335327,
0.3721579313278198,
0.42420947551727295,
0.3058299720287323,
0.2899321913719177,
0.43024003505706787,
0.3639250695705414,
0.2887585759162903,
0.32126301527023315,
0.2452867329120636,
0.3960255980491638,
0.31102120876312256,
0.35426443815231323,
0.2288227081298828
] | [
0.7817621827125549,
0.6391592025756836,
0.722815990447998,
0.6206546425819397,
0.5650777816772461,
0.4188311696052551,
0.4626421332359314,
0.6361216306686401,
0.48726406693458557,
0.5336454510688782,
0.46714508533477783,
0.5116095542907715,
0.5240619778633118,
0.5491823554039001,
0.5235313773155212,
0.5923457741737366,
0.5510909557342529,
0.5276280045509338,
0.5898872017860413,
0.46947747468948364,
0.47410014271736145,
0.5861526131629944,
0.5309044122695923,
0.4974217414855957,
0.5331383943557739,
0.4375932812690735,
0.5683261156082153,
0.5099562406539917,
0.5542633533477783,
0.42339468002319336
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation | [
"Do Deep Nets Really Need to be Deep?",
"Deep Fried Convnets",
"Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints",
"Object Detection with Discriminatively Trained Part-Based Models",
"Integrated Marketing Communication : A Review Paper Corresponding author :",
"Trends in distributed artificial intelligence",
"A parallel corpus for statistical machine translation",
"Natural Language Interface for Databases Using a Dual-Encoder Model",
"SugarMate: Non-intrusive Blood Glucose Monitoring with Smartphones",
"Innovation Ecosystems and the Pace of Substitution: Re-Examining Technology S-Curves",
"Automated Concurrency-Bug Fixing",
"Encyclopedia of Knowledge Management, Second Edition",
"Towards a Semantic Web of Things: A Hybrid Semantic Annotation, Extraction, and Reasoning Framework for Cyber-Physical System",
"Accurate Single Stage Detector Using Recurrent Rolling Convolution",
"Complete Penile Duplication with Structurally Normal Penises: A Case Report",
"GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations",
"On the implementation of an efficient FPGA-based CFAR processor for target detection",
"Computational personality traits assessment: A review",
"Identification of Maize Leaf Diseases Using Improved Deep Convolutional Neural Networks",
"When gene meets cloud: Enabling scalable and efficient range query on encrypted genomic data",
"Teacher attitudes toward dyslexia: effects on teacher expectations and the academic achievement of students with dyslexia.",
"Social Marketing : Its Definition and Domain",
"Care about you: towards large-scale human-centric visual relationship detection",
"Snowbot : An empirical study of building chatbot using seq 2 seq model with different machine learning framework",
"Antimicrobial Activity of Some Essential Oils—Present Status and Future Perspectives",
"Depth really Matters: Improving Visual Salient Region Detection with Depth",
"Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2",
"A Known Plaintext Attack on the PKZIP Stream Cipher",
"Relationships among grit, academic performance, perceived academic failure, and stress in associate degree students."
] | [
0.8301059007644653,
0.7956056594848633,
0.8630294799804688,
0.8380815982818604,
0.7915008664131165,
0.838038444519043,
0.8280052542686462,
0.8249033689498901,
0.7999877333641052,
0.8027099370956421,
0.8147813677787781,
0.7962217330932617,
0.8290320634841919,
0.8321443200111389,
0.8026052713394165,
0.8418592214584351,
0.8434014320373535,
0.8162317872047424,
0.868567943572998,
0.84293133020401,
0.7814321517944336,
0.7843554019927979,
0.8247920274734497,
0.8466296195983887,
0.7540990710258484,
0.8558745384216309,
0.84073805809021,
0.8052250146865845,
0.7844749093055725
] | [
0.8097529411315918,
0.7865995168685913,
0.8292859196662903,
0.796584963798523,
0.7805764675140381,
0.7954300045967102,
0.7940242290496826,
0.7956886291503906,
0.7802693247795105,
0.8016588687896729,
0.7826648354530334,
0.7661037445068359,
0.7892811894416809,
0.8192764520645142,
0.7792952060699463,
0.8210445046424866,
0.7905446290969849,
0.8037418723106384,
0.8311043381690979,
0.7987672686576843,
0.729009747505188,
0.7729969620704651,
0.7932401299476624,
0.8150026798248291,
0.7463089227676392,
0.8218726515769958,
0.8208996057510376,
0.7943792343139648,
0.7668207883834839
] | [
0.7999048829078674,
0.795640230178833,
0.811636209487915,
0.7896965146064758,
0.7530495524406433,
0.7910023331642151,
0.7919360399246216,
0.7802315950393677,
0.7730345726013184,
0.7484667897224426,
0.7846126556396484,
0.7465478181838989,
0.783357560634613,
0.7896950244903564,
0.7659205198287964,
0.8057842254638672,
0.798646092414856,
0.7912005186080933,
0.8073880672454834,
0.7818377017974854,
0.7547171115875244,
0.7328264713287354,
0.777026891708374,
0.7924549579620361,
0.7355167865753174,
0.7920805215835571,
0.8115853667259216,
0.7819780111312866,
0.7537400722503662
] | [
0.6072486639022827,
0.7212138175964355,
0.721441388130188,
0.6787334680557251,
0.42824888229370117,
0.5206061005592346,
0.6135849356651306,
0.5659041404724121,
0.4889015555381775,
0.43341249227523804,
0.40918201208114624,
0.40554752945899963,
0.476778119802475,
0.7143659591674805,
0.3655252158641815,
0.6280200481414795,
0.5566868782043457,
0.5272340774536133,
0.6522645354270935,
0.45370638370513916,
0.372099369764328,
0.42648404836654663,
0.645410418510437,
0.5502362847328186,
0.3134884834289551,
0.6300112009048462,
0.6803995370864868,
0.4199032187461853,
0.41623151302337646
] | [
0.5902105569839478,
0.650065541267395,
0.6524165272712708,
0.5437136292457581,
0.24653545022010803,
0.37949857115745544,
0.49781668186187744,
0.44721001386642456,
0.34014254808425903,
0.29991406202316284,
0.2932274341583252,
0.2224617600440979,
0.32436785101890564,
0.6639933586120605,
0.24390028417110443,
0.5376429557800293,
0.4367811679840088,
0.3787718415260315,
0.5816314816474915,
0.32256829738616943,
0.24449340999126434,
0.250020831823349,
0.5174840092658997,
0.4652172923088074,
0.12704071402549744,
0.48395809531211853,
0.5863246917724609,
0.2879132032394409,
0.2998868525028229
] | [
0.64278644323349,
0.729045569896698,
0.7265443801879883,
0.6799567937850952,
0.4546818733215332,
0.5406999588012695,
0.6325961351394653,
0.5869956016540527,
0.5143179297447205,
0.4586670696735382,
0.45368319749832153,
0.43403857946395874,
0.49853989481925964,
0.7227404117584229,
0.40013793110847473,
0.6484216451644897,
0.5807787179946899,
0.5405330657958984,
0.6639490127563477,
0.4779171347618103,
0.39424842596054077,
0.45102500915527344,
0.6613641977310181,
0.5602626204490662,
0.3385664224624634,
0.6354634761810303,
0.6919320821762085,
0.46953457593917847,
0.4266577363014221
] | [
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Two-Stream Convolutional Networks for Action Recognition in Videos | [
"Toward Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks",
"Learning Spatiotemporal Features with 3D Convolutional Networks",
"Improving Bag-of-Visual-Words model using visual n-grams for human action classification",
"Deep Temporal Linear Encoding Networks",
"A Recurrent Encoder-Decoder Network for Sequential Face Alignment",
"Comparison of Performance of Decision Tree Algorithms and Random Forest: An Application on OECD Countries Health Expenditures",
"A Survey on Hidden Markov Model for Credit Card Fraud Detection",
"Evaluating EcoLexiCAT: a Terminology-Enhanced CAT Tool",
"Wireless charger networking for mobile devices: fundamentals, standards, and applications",
"Improving homograph disambiguation with supervised machine learning",
"A 50-GHz Phase-Locked Loop in 0.13-$\\mu$ m CMOS",
"A Comprehensive Survey of Neighborhood-Based Recommendation Methods",
"Exploring the Impact of Pragmatic Phenomena on Irony Detection in Tweets: A Multilingual Corpus Study",
"Neural networks and physical systems with emergent collective computational abilities.",
"Resilience Thinking : Integrating Resilience , Adaptability and Transformability",
"DTA++: Dynamic Taint Analysis with Targeted Control-Flow Propagation",
"Nature and autonomy: an organizational view of social and neurobiological aspects of self-regulation in behavior and development.",
"Towards an open-domain conversational system fully based on natural language processing",
"Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph",
"Master Artificial Intelligence Learning Latent Customer Representations for Credit Card Fraud Detection January 5 , 2018",
"Inferring and Executing Programs for Visual Reasoning",
"Integrated Spatio-temporal Data Mining for Forest Fire Prediction",
"Not As Smart As We Think: A Study of Collective Intelligence in Virtual Groups",
"Survey of Maneuvering Target Tracking . Part I : Dynamic Models",
"The effects of perceived relevance of travel blogs' content on the behavioral intention to visit a tourist destination",
"Deep TEN: Texture Encoding Network",
"DeepRefiner: Multi-layer Android Malware Detection System Applying Deep Neural Networks",
"Abusive Language Detection in Online User Content",
"The Anatomy of Big Data Computing",
"A Point-Based Offsetting Method of Polygonal Meshes"
] | [
0.9222036004066467,
0.8702194690704346,
0.8661191463470459,
0.8423507213592529,
0.8381192684173584,
0.8037184476852417,
0.806556224822998,
0.8162503242492676,
0.7985553741455078,
0.8213046789169312,
0.779822051525116,
0.8086891174316406,
0.8131543397903442,
0.8326364755630493,
0.7901008725166321,
0.8195366859436035,
0.7864820957183838,
0.8098255395889282,
0.8172816038131714,
0.8122245073318481,
0.8344727158546448,
0.8122564554214478,
0.7950761318206787,
0.801480770111084,
0.7735397219657898,
0.8324500322341919,
0.8319014310836792,
0.8094838857650757,
0.8066578507423401,
0.7964555621147156
] | [
0.9005565047264099,
0.8629510998725891,
0.8200995922088623,
0.8438510894775391,
0.8229700326919556,
0.7765032052993774,
0.7806226015090942,
0.7587341070175171,
0.7721618413925171,
0.7794214487075806,
0.7447458505630493,
0.7877206802368164,
0.7696157097816467,
0.790359616279602,
0.752173125743866,
0.7812287211418152,
0.7687518000602722,
0.7991557121276855,
0.8041871190071106,
0.8035883903503418,
0.8096523284912109,
0.7995394468307495,
0.7932233810424805,
0.8010051250457764,
0.7652736902236938,
0.8090082406997681,
0.8072878122329712,
0.7989901304244995,
0.7976612448692322,
0.7689788341522217
] | [
0.8921045064926147,
0.829150915145874,
0.8314419984817505,
0.7920696139335632,
0.8181242942810059,
0.7551813721656799,
0.7822777032852173,
0.7567646503448486,
0.760693371295929,
0.7721099853515625,
0.7373034954071045,
0.7853975892066956,
0.7639061212539673,
0.7871040105819702,
0.7636775970458984,
0.7983453273773193,
0.7435803413391113,
0.77338707447052,
0.7836896181106567,
0.7921072244644165,
0.7921349406242371,
0.7837787866592407,
0.7959465980529785,
0.7739437818527222,
0.7480345368385315,
0.8098402619361877,
0.7978318929672241,
0.7917709350585938,
0.7931391000747681,
0.7294059991836548
] | [
0.8828855752944946,
0.7305089235305786,
0.7498600482940674,
0.6987990736961365,
0.6325682401657104,
0.47356122732162476,
0.5170861482620239,
0.469753235578537,
0.4257953464984894,
0.5180338621139526,
0.3398130536079407,
0.5117495656013489,
0.4763002395629883,
0.5317564010620117,
0.4139435291290283,
0.4937080144882202,
0.4332321882247925,
0.47332003712654114,
0.49445652961730957,
0.501244843006134,
0.5678623914718628,
0.5300219058990479,
0.4216420650482178,
0.5211235284805298,
0.3989722728729248,
0.6335808634757996,
0.5572788715362549,
0.5061553716659546,
0.4599624276161194,
0.3907778263092041
] | [
0.8436459302902222,
0.6711583733558655,
0.6741387844085693,
0.5890965461730957,
0.5189681649208069,
0.3331979811191559,
0.36562520265579224,
0.33123502135276794,
0.24624094367027283,
0.3809298574924469,
0.21233029663562775,
0.34799182415008545,
0.33416661620140076,
0.3863847553730011,
0.270305871963501,
0.3421233892440796,
0.298996239900589,
0.34205979108810425,
0.3610795736312866,
0.39818090200424194,
0.4352944493293762,
0.3947102427482605,
0.26143693923950195,
0.3294677734375,
0.24478185176849365,
0.4955148696899414,
0.4452320337295532,
0.34612637758255005,
0.3309428095817566,
0.20480060577392578
] | [
0.8831841349601746,
0.7341780662536621,
0.7483025193214417,
0.6987999677658081,
0.6364866495132446,
0.487792044878006,
0.5310661792755127,
0.5002756118774414,
0.450009822845459,
0.542127251625061,
0.38445332646369934,
0.5326911211013794,
0.5011453032493591,
0.5445548892021179,
0.43068644404411316,
0.5120475888252258,
0.4565139412879944,
0.4972867965698242,
0.5154289603233337,
0.503264844417572,
0.5879374742507935,
0.5403792858123779,
0.45054927468299866,
0.5342443585395813,
0.4340178072452545,
0.6412907838821411,
0.5589283108711243,
0.5316810607910156,
0.4928935766220093,
0.4262709617614746
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Learning to Compose Neural Networks for Question Answering | [
"Kernel Pooling for Convolutional Neural Networks",
"A flexible tensor block coordinate ascent scheme for hypergraph matching",
"Leveraging Visual Question Answering for Image-Caption Ranking",
"Multimodal Learning and Reasoning for Visual Question Answering",
"Stacking with Auxiliary Features for Visual Question Answering",
"Cloud-based smart waste management for smart cities",
"3-D sound for virtual reality and multimedia",
"A convergent gambling estimate of the entropy of English",
"A Multi-Modal, Discriminative and Spatially Invariant CNN for RGB-D Object Labeling",
"Interactive Freeform Design of Tensegrity",
"Shared Neural Circuits for Mentalizing about the Self and Others",
"Chapter 11 Transfer Learning",
"Dynamic feedback controller of Euler angles and wind parameters estimation for a quadrotor unmanned aerial vehicle",
"Cooccurrence of Multiple Sclerosis and Idiopathic Basal Ganglia Calcification",
"Selecting a Project 's Methodology",
"A Bayesian Model of Diachronic Meaning Change",
"Neurodevelopmental changes in the circuits underlying empathy and sympathy from childhood to adulthood.",
"edge2vec: Learning Node Representation Using Edge Semantics",
"Gender differences in the relationship between internet addiction and depression: A cross-lagged study in Chinese adolescents",
"TensorFlow: A System for Large-Scale Machine Learning",
"The Recovery of Repeated-Sprint Exercise Is Associated with PCr Resynthesis, while Muscle pH and EMG Amplitude Remain Depressed",
"Hybrid Genetic Algorithm with K-Means for Clustering Problems",
"Gatekeeping , Indexing , and Live-Event News : Is Technology Altering the Construction of News ?",
"Algorithmic composition: computational thinking in music",
"An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition",
"inScent: a wearable olfactory display as an amplification for mobile notifications",
"Hive - a petabyte scale data warehouse using Hadoop",
"Remodeling Grounded Theory",
"Can online reviews reveal a product's true quality?: empirical findings and analytical modeling of Online word-of-mouth communication"
] | [
0.877415657043457,
0.8161311149597168,
0.8871959447860718,
0.8847284317016602,
0.8679227828979492,
0.8042268753051758,
0.8035403490066528,
0.8271992206573486,
0.834277331829071,
0.8106237053871155,
0.8557121753692627,
0.8176310658454895,
0.7868679761886597,
0.7897502183914185,
0.8001360893249512,
0.8102216720581055,
0.7986676692962646,
0.8681175708770752,
0.7980923652648926,
0.8538550138473511,
0.7902266979217529,
0.8369216918945312,
0.8001145124435425,
0.8360949754714966,
0.8681380748748779,
0.7995479106903076,
0.80262291431427,
0.8038099408149719,
0.8165719509124756
] | [
0.8342865705490112,
0.7889527082443237,
0.8441520929336548,
0.8524880409240723,
0.8549253940582275,
0.7845742702484131,
0.7726106643676758,
0.8016791343688965,
0.8023176789283752,
0.7865888476371765,
0.8373386263847351,
0.8145655989646912,
0.7726285457611084,
0.7745224237442017,
0.7940757274627686,
0.8009865283966064,
0.802715003490448,
0.8235316872596741,
0.7781860828399658,
0.8343766927719116,
0.775301456451416,
0.7790700197219849,
0.7860109806060791,
0.8161321878433228,
0.8374181985855103,
0.7963737845420837,
0.7855018973350525,
0.7821168899536133,
0.8028331995010376
] | [
0.8153818845748901,
0.7776563167572021,
0.8445677757263184,
0.8577126860618591,
0.8479622602462769,
0.7697180509567261,
0.7434991598129272,
0.7792359590530396,
0.7733650207519531,
0.7658188343048096,
0.8111315369606018,
0.7830930948257446,
0.7437152862548828,
0.7384760975837708,
0.7467224597930908,
0.7667258977890015,
0.7786277532577515,
0.7914341688156128,
0.7333731651306152,
0.8207406997680664,
0.7491177916526794,
0.778998076915741,
0.7658469080924988,
0.8048018217086792,
0.8052730560302734,
0.7565085291862488,
0.7641260623931885,
0.7659380435943604,
0.7599906921386719
] | [
0.6430704593658447,
0.5140758752822876,
0.6676149368286133,
0.7132699489593506,
0.7402505874633789,
0.3643345236778259,
0.4147645831108093,
0.6222453713417053,
0.5464166402816772,
0.41632628440856934,
0.44360145926475525,
0.6523775458335876,
0.3881183862686157,
0.3692362606525421,
0.4319190979003906,
0.566999077796936,
0.4056178331375122,
0.6109741926193237,
0.34309786558151245,
0.6738731861114502,
0.36917686462402344,
0.46814215183258057,
0.4996332824230194,
0.5464780330657959,
0.6054469347000122,
0.4233681857585907,
0.3827027678489685,
0.44432157278060913,
0.45215481519699097
] | [
0.5132145881652832,
0.3703457713127136,
0.5790274143218994,
0.6104257106781006,
0.6462100744247437,
0.22642569243907928,
0.25073540210723877,
0.504898190498352,
0.4141687750816345,
0.27437326312065125,
0.32681840658187866,
0.5379656553268433,
0.2799423635005951,
0.2706041634082794,
0.3042050004005432,
0.4393957853317261,
0.2685185670852661,
0.4707963168621063,
0.19367147982120514,
0.5558404922485352,
0.2623109221458435,
0.3114190101623535,
0.3520074486732483,
0.4320555329322815,
0.5065789222717285,
0.25578224658966064,
0.2365328073501587,
0.31427860260009766,
0.2740061283111572
] | [
0.6621128916740417,
0.5391795635223389,
0.68419349193573,
0.7160657048225403,
0.7411849498748779,
0.387143611907959,
0.44911646842956543,
0.6402073502540588,
0.5611933469772339,
0.4473043382167816,
0.47191208600997925,
0.6715710163116455,
0.41047149896621704,
0.3893885016441345,
0.4524978995323181,
0.5817348957061768,
0.4297737181186676,
0.6307394504547119,
0.37442266941070557,
0.6944221258163452,
0.4114983081817627,
0.4852006137371063,
0.5228046178817749,
0.563193678855896,
0.6204603910446167,
0.43876728415489197,
0.4096073508262634,
0.45988085865974426,
0.4698907136917114
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Improving Word Representations via Global Context and Multiple Word Prototypes | [
"Feature engineering in Context-Dependent Deep Neural Networks for conversational speech transcription",
"Discrimination of Word Senses with Hypernyms",
"Multi-Step Regression Learning for Compositional Distributional Semantics",
"Optimal Cluster Preserving Embedding of Nonmetric Proximity Data",
"Improved Word Representation Learning with Sememes",
"Clothing cosegmentation for recognizing people",
"Parametric Shape-from-Shading by Radial Basis Functions",
"Proposition Knowledge Graphs",
"AlphaGo and Monte Carlo tree search: The simulation optimization perspective",
"Assessing Computational Thinking in CS Unplugged Activities",
"Mutant p53 Gain of Function in Two Mouse Models of Li-Fraumeni Syndrome",
"Cyber Threat Intelligence – Issue and Challenges",
"Dropout Improves Recurrent Neural Networks for Handwriting Recognition",
"Recommender Systems",
"MUTE: Majority under-sampling technique",
"Human agency in social cognitive theory.",
"SAND: Towards High-Performance Serverless Computing",
"Sequence-Level Knowledge Distillation",
"Compressive sensing based channel feedback protocols for spatially-correlated massive antenna arrays",
"Rapid Style Adaptation Using Residual Error Embedding for Expressive Speech Synthesis",
"Semantic Parsing for Single-Relation Question Answering",
"MoleculeNet: a benchmark for molecular machine learning† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c7sc02664a ",
"Knowledge Base Completion: Baselines Strike Back",
"Early Pest Identification in Agricultural Crops using Image Processing Techniques",
"The CMU Pose, Illumination, and Expression Database",
"Good Semi-supervised Learning that Requires a Bad GAN",
"PHP and SQL made simple",
"Products Components: Alcohols.",
"Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis",
"Does Mindfulness Enhance Critical Thinking? Evidence for the Mediating Effects of Executive Functioning in the Relationship between Mindfulness and Critical Thinking"
] | [
0.8659180998802185,
0.848653256893158,
0.8480271100997925,
0.8280104398727417,
0.8956617712974548,
0.8067929744720459,
0.7942008972167969,
0.8459563255310059,
0.814692497253418,
0.8266494274139404,
0.7710531949996948,
0.8032792806625366,
0.8441851139068604,
0.8043279647827148,
0.8159526586532593,
0.809644341468811,
0.8094190359115601,
0.8303791284561157,
0.8161513805389404,
0.8300029039382935,
0.8187515735626221,
0.7909083962440491,
0.7989157438278198,
0.7941688895225525,
0.8299768567085266,
0.8166624307632446,
0.7976804375648499,
0.7781928777694702,
0.8534822463989258,
0.7936074137687683
] | [
0.8025234937667847,
0.8382964134216309,
0.8163653016090393,
0.7966551184654236,
0.8898141384124756,
0.7853652238845825,
0.7846747636795044,
0.8367822170257568,
0.8088077306747437,
0.7902907133102417,
0.7673770785331726,
0.7818119525909424,
0.8075982332229614,
0.7891062498092651,
0.7833217978477478,
0.8001434803009033,
0.7806164026260376,
0.8183673620223999,
0.7573308348655701,
0.8062080144882202,
0.8190231323242188,
0.7772303223609924,
0.7820696830749512,
0.796909749507904,
0.8119791746139526,
0.8020322322845459,
0.7914704084396362,
0.7710342407226562,
0.7902271747589111,
0.7807784676551819
] | [
0.7993149161338806,
0.8317688703536987,
0.7886823415756226,
0.7855399250984192,
0.8643510341644287,
0.7638773322105408,
0.7586383819580078,
0.8160030841827393,
0.7640798091888428,
0.7748105525970459,
0.743446946144104,
0.7411220669746399,
0.8046743869781494,
0.7865586280822754,
0.7683604955673218,
0.7710875868797302,
0.756496012210846,
0.7982307076454163,
0.7441096305847168,
0.7717580795288086,
0.790813148021698,
0.7942988276481628,
0.7800111770629883,
0.7587862014770508,
0.794205367565155,
0.7994688153266907,
0.7535055875778198,
0.7560080289840698,
0.7828726172447205,
0.7651650905609131
] | [
0.6786385774612427,
0.697636604309082,
0.7013427019119263,
0.5909757614135742,
0.8125314712524414,
0.5585187673568726,
0.46364352107048035,
0.6339368224143982,
0.44461119174957275,
0.4448321461677551,
0.3572266399860382,
0.4391956329345703,
0.6410808563232422,
0.549315333366394,
0.5920933485031128,
0.5140085220336914,
0.4192667007446289,
0.7064155340194702,
0.42223936319351196,
0.5967617034912109,
0.640015184879303,
0.5885593891143799,
0.6429572701454163,
0.4414888620376587,
0.5915722846984863,
0.5955353379249573,
0.3960127830505371,
0.41489914059638977,
0.4418815076351166,
0.4169034957885742
] | [
0.5611278414726257,
0.5951740741729736,
0.5881561636924744,
0.4619867503643036,
0.7488827705383301,
0.38258522748947144,
0.2723941206932068,
0.4900036156177521,
0.2988457679748535,
0.3015511929988861,
0.22310736775398254,
0.28880831599235535,
0.5230613946914673,
0.42451250553131104,
0.45334839820861816,
0.3555534780025482,
0.2820606827735901,
0.569256067276001,
0.2725127041339874,
0.4598972499370575,
0.5142644643783569,
0.44806498289108276,
0.5219072699546814,
0.26091468334198,
0.417852520942688,
0.46968749165534973,
0.2804248631000519,
0.31441089510917664,
0.33173179626464844,
0.30198606848716736
] | [
0.6847379207611084,
0.7045323848724365,
0.7064279913902283,
0.6073857545852661,
0.8126572370529175,
0.5729478001594543,
0.4944566488265991,
0.6445988416671753,
0.48951464891433716,
0.4653526544570923,
0.3947399854660034,
0.4601384401321411,
0.652369499206543,
0.5619935989379883,
0.6188888549804688,
0.5455197095870972,
0.4657145142555237,
0.6998850107192993,
0.4491860866546631,
0.6105563640594482,
0.6409885883331299,
0.6042783260345459,
0.6595199108123779,
0.47017210721969604,
0.6090307831764221,
0.6109441518783569,
0.4251214563846588,
0.4386902451515198,
0.47960203886032104,
0.44089531898498535
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses | [
"Addressing the Rare Word Problem in Neural Machine Translation",
"Adaptive Learning of Local Semantic and Global Structure Representations for Text Classification",
"Guiding Policies with Language via Meta-Learning",
"A Neural Conversational Model for Chatbots",
"Coupled Context Modeling for Deep Chit-Chat: Towards Conversations between Human and Computer",
"Factors Influencing Employee ’ s Job Satisfaction : An Empirical Study among Employees of Automobile Service Workshops in Assam",
"Personality and IT security: An application of the five-factor model",
"Health Care Organizations as Complex Adaptive Systems",
"TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer",
"EMOTEX : Detecting Emotions in Twitter Messages",
"Deep Q-learning From Demonstrations",
"Mental Accounting Matters",
"How to Make Causal Inferences Using Texts",
"A Near-Optimal Solution to a Two-Dimensional Cutting Stock Problem",
"Culture Three Ways: Culture and Subcultures Within Countries.",
"Compositional Language Understanding with Text-based Relational Reasoning",
"Pay Attention to Those Sets! Learning Quantification from Images",
"Automatic Detection and Language Identification of Multilingual Documents",
"SVR-based music mood classification and context-based music recommendation",
"Deep learning?",
"Unsupervised image segmentation using convolutional autoencoder with total variation regularization as preprocessing",
"Attention-based Encoder-Decoder Networks for Spelling and Grammatical Error Correction",
"Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia",
"Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation",
"Sensory Integration Therapy : Affect or Ef ect ( research , practice , developmental disabilities , learning disabilities )",
"Culturally Responsive Teaching : Implications for Educational Justice",
"Flickr tag recommendation based on collective knowledge",
"Acoustic Scene Classification Using a CNN-SuperVector System Trained with Auditory and Spectrogram Image Features",
"Multimodal Learning with Deep Boltzmann Machines",
"A Virtual Learning Architecture Enhanced by Fog Computing and Big Data Streams"
] | [
0.8620283007621765,
0.8466806411743164,
0.8341391086578369,
0.9074869155883789,
0.8833612203598022,
0.7906051278114319,
0.8036818504333496,
0.7966549396514893,
0.8291903734207153,
0.8522655963897705,
0.8487231135368347,
0.7842670679092407,
0.8202731609344482,
0.8249123096466064,
0.7848703861236572,
0.8550720810890198,
0.8342223763465881,
0.8217397928237915,
0.8453147411346436,
0.8337976932525635,
0.8237206935882568,
0.8533982038497925,
0.832715630531311,
0.8202141523361206,
0.7962941527366638,
0.7839916348457336,
0.8163557052612305,
0.8600143194198608,
0.8440433740615845,
0.8290359377861023
] | [
0.8385298252105713,
0.806330680847168,
0.8110083341598511,
0.8669253587722778,
0.8417203426361084,
0.7500067949295044,
0.7978794574737549,
0.7707943916320801,
0.7832975387573242,
0.7890909910202026,
0.8015092015266418,
0.7559916973114014,
0.8082722425460815,
0.7772043347358704,
0.7571881413459778,
0.8070724010467529,
0.7756830453872681,
0.7788059115409851,
0.7816441059112549,
0.7972424030303955,
0.7867418527603149,
0.8033002018928528,
0.7964515686035156,
0.784285843372345,
0.7681852579116821,
0.7745946645736694,
0.7755907773971558,
0.7888375520706177,
0.8090630769729614,
0.784050703048706
] | [
0.8252045512199402,
0.789837658405304,
0.7906138896942139,
0.85426926612854,
0.8416299819946289,
0.7450515031814575,
0.7577532529830933,
0.7671267986297607,
0.7914227843284607,
0.7955121994018555,
0.796902060508728,
0.7684762477874756,
0.7951644659042358,
0.7425697445869446,
0.7443413138389587,
0.8024053573608398,
0.7772709131240845,
0.7555800676345825,
0.7874119281768799,
0.7813184261322021,
0.7766313552856445,
0.806882381439209,
0.7844568490982056,
0.7628788948059082,
0.7595861554145813,
0.7805606126785278,
0.7668421268463135,
0.7781006693840027,
0.7942389249801636,
0.7752653360366821
] | [
0.6666163206100464,
0.6189414262771606,
0.6387577056884766,
0.8727516531944275,
0.8075777292251587,
0.4225335717201233,
0.4660438299179077,
0.4463293254375458,
0.5970402956008911,
0.6219601631164551,
0.5865581631660461,
0.43091636896133423,
0.5836704969406128,
0.40988075733184814,
0.449873149394989,
0.633992075920105,
0.5588774085044861,
0.516166627407074,
0.5639298558235168,
0.6112784147262573,
0.4697171449661255,
0.6684285402297974,
0.5658403038978577,
0.5136008262634277,
0.4642103314399719,
0.4294610023498535,
0.5473021268844604,
0.590580403804779,
0.6576122641563416,
0.4980708062648773
] | [
0.5600333213806152,
0.48700714111328125,
0.5184046626091003,
0.8186340928077698,
0.7508912086486816,
0.2744593024253845,
0.28101062774658203,
0.2954058051109314,
0.4659217596054077,
0.48998382687568665,
0.4334614872932434,
0.3095209300518036,
0.4362203776836395,
0.24707284569740295,
0.3059034049510956,
0.5214904546737671,
0.37787121534347534,
0.3625223934650421,
0.4198751449584961,
0.4991585612297058,
0.32747915387153625,
0.5287829041481018,
0.41493576765060425,
0.3376445770263672,
0.3077947497367859,
0.3017471432685852,
0.37313908338546753,
0.4506224989891052,
0.509084939956665,
0.37945231795310974
] | [
0.6729485988616943,
0.6286016702651978,
0.643977165222168,
0.8648592233657837,
0.8011239171028137,
0.4347524642944336,
0.47760462760925293,
0.4775213599205017,
0.6178361773490906,
0.6278088092803955,
0.6056227684020996,
0.459955632686615,
0.5932490825653076,
0.4513224959373474,
0.4865463078022003,
0.6450283527374268,
0.5811877846717834,
0.5362104773521423,
0.5901592969894409,
0.6003451943397522,
0.49234822392463684,
0.6733161211013794,
0.5934507846832275,
0.5298263430595398,
0.456132173538208,
0.45491844415664673,
0.5659092664718628,
0.599439263343811,
0.6650342345237732,
0.5036965608596802
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
ACL 2018 Relevance of Linguistic Structure in Neural Architectures for NLP | [
"Learning to Compose Words into Sentences with Reinforcement Learning",
"Syntax for Semantic Role Labeling, To Be, Or Not To Be",
"Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks",
"DisSent: Sentence Representation Learning from Explicit Discourse Relations",
"A Logic-Based Semantic Approach to Recognizing Textual Entailment",
"The Lateral Tracking Control for the Intelligent Vehicle Based on Adaptive PID Neural Network",
"A Systematic Comparison of Deep Learning Architectures in an Autonomous Vehicle",
"Malignant Narcissism: from fairy tales to harsh reality.",
"Comparing Population Means Under Local Differential Privacy: With Significance and Power",
"DTAM: Dense tracking and mapping in real-time",
"The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation",
"A high-PSR LDO using a feedforward supply-noise cancellation technique",
"Aggregated knowledge from a small number of debates outperforms the wisdom of large crowds",
"Congestive heart failure: Diagnosis, pathophysiology, therapy, and implications for respiratory care.",
"A Study of Reinforcement Learning in Multi-Agent Systems",
"Going out on a limb: Joint Extraction of Entity Mentions and Relations without Dependency Trees",
"Natural Language Processing for EHR-Based Computational Phenotyping",
"Specialised Tools for Automating Data Mining for Hospital Management",
"FitNets: Hints for Thin Deep Nets",
"A holistic lexicon-based approach to opinion mining",
"Genetics and Marker-assisted Selection of the Chemotype in Cannabis sativa L.",
"Quantification of Model Uncertainty in RANS Simulations : A Review",
"Micronutrients and Nutritional Supplements and School Performance and / or Cognitive Ability * ( Continued from previous page )",
"On the momentum term in gradient descent learning algorithms",
"The Relative Densities of Pharmaceutical Powders , Blends , Dry Granulations , and Immediate-Release Tablets",
"The impact of industrial wearable system on industry 4.0",
"A Brief Survey of Deep Reinforcement Learning",
"Deep Recurrent Neural Networks for Time Series Prediction",
"Augmenting Neural Sentence Summarization Through Extractive Summarization",
"The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation"
] | [
0.8424409031867981,
0.8378135561943054,
0.866763710975647,
0.8502181172370911,
0.8351367712020874,
0.8330439329147339,
0.8637707829475403,
0.7949842214584351,
0.8022074699401855,
0.8137991428375244,
0.8306965827941895,
0.8071228861808777,
0.8007615208625793,
0.785027027130127,
0.8311140537261963,
0.8334422707557678,
0.8613889217376709,
0.8191124200820923,
0.8327546715736389,
0.8438524007797241,
0.7830812335014343,
0.792855978012085,
0.806984007358551,
0.8278789520263672,
0.7889587879180908,
0.8047013282775879,
0.8492079377174377,
0.8456258773803711,
0.8588238954544067,
0.833774209022522
] | [
0.8125227689743042,
0.8311066627502441,
0.8348467350006104,
0.8253699541091919,
0.7981130480766296,
0.7789103984832764,
0.8366292119026184,
0.7874652147293091,
0.7756894826889038,
0.7870657444000244,
0.8083895444869995,
0.7789152264595032,
0.786080539226532,
0.7829351425170898,
0.7729708552360535,
0.8115108013153076,
0.8215446472167969,
0.7785707712173462,
0.8098945617675781,
0.7955261468887329,
0.7757550477981567,
0.7723036408424377,
0.7869077920913696,
0.7811850905418396,
0.7727515697479248,
0.7866623401641846,
0.7926490902900696,
0.8064839839935303,
0.8322186470031738,
0.8018556833267212
] | [
0.8070545792579651,
0.8260143995285034,
0.8445888161659241,
0.8311518430709839,
0.8057987093925476,
0.7736294269561768,
0.8349506855010986,
0.7963384389877319,
0.7842395901679993,
0.7944177389144897,
0.7829837203025818,
0.7676051259040833,
0.7898223400115967,
0.7764677405357361,
0.7701675891876221,
0.7969964146614075,
0.8041572570800781,
0.7836542129516602,
0.8245822787284851,
0.7753214836120605,
0.7698657512664795,
0.7649131417274475,
0.7651191353797913,
0.7736148834228516,
0.7721778750419617,
0.7787512540817261,
0.8057286739349365,
0.807081937789917,
0.819346010684967,
0.8051126003265381
] | [
0.6494539976119995,
0.6348016262054443,
0.7148261070251465,
0.6605533361434937,
0.6344301700592041,
0.46221280097961426,
0.618860125541687,
0.43198731541633606,
0.3830166757106781,
0.44817227125167847,
0.5436116456985474,
0.420134961605072,
0.5050119757652283,
0.3943404257297516,
0.4774095416069031,
0.5719102621078491,
0.600177526473999,
0.4580885171890259,
0.631382167339325,
0.581965446472168,
0.44553229212760925,
0.42464157938957214,
0.3885299861431122,
0.5443440675735474,
0.37970656156539917,
0.4268834590911865,
0.5380322933197021,
0.6079757809638977,
0.6897033452987671,
0.5073516368865967
] | [
0.5641897916793823,
0.5461618900299072,
0.6490861773490906,
0.5984352827072144,
0.5298612713813782,
0.3398453891277313,
0.5493337512016296,
0.2832852602005005,
0.20386731624603271,
0.2940698266029358,
0.4221150875091553,
0.29646751284599304,
0.4094870686531067,
0.22843386232852936,
0.3290584683418274,
0.47192201018333435,
0.48520275950431824,
0.3386419415473938,
0.5294848084449768,
0.4908238649368286,
0.3027192950248718,
0.27599868178367615,
0.27548670768737793,
0.43642014265060425,
0.2269265353679657,
0.24242271482944489,
0.4264559745788574,
0.5162820816040039,
0.6275922060012817,
0.3697371482849121
] | [
0.6532754898071289,
0.64556884765625,
0.7280360460281372,
0.6551768779754639,
0.6382254958152771,
0.4806481599807739,
0.6464859843254089,
0.46729689836502075,
0.40938717126846313,
0.4855674207210541,
0.5664581060409546,
0.45523524284362793,
0.5415648221969604,
0.4294187128543854,
0.515036940574646,
0.5815384387969971,
0.599601149559021,
0.4850974678993225,
0.6395445466041565,
0.5907355546951294,
0.4740869998931885,
0.46099185943603516,
0.4088955521583557,
0.5674017071723938,
0.4179757237434387,
0.45898863673210144,
0.5613265633583069,
0.6140492558479309,
0.6854182481765747,
0.5298489928245544
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Two Decades of Research and Development in Transformational Leadership | [
"Emotional Intelligence and Transformational and Transactional Leadership : A Meta-Analysis",
"BEHAVIORAL THEORIES OF LEADERSHIP : AN INTEGRATION AND META-ANALYTIC TEST OF THEIR RELATIVE VALIDITY",
"Getting even for customer mistreatment: the role of moral identity in the relationship between customer interpersonal injustice and employee sabotage.",
"Motivation and Transactional , Charismatic , and Transformational Leadership : A Test of Antecedents",
"Abusive supervision and workplace deviance and the moderating effects of negative reciprocity beliefs.",
"Object tracking: A survey",
"National drug control policy and prescription drug abuse: facts and fallacies.",
"SimDoc: Topic Sequence Alignment based Document Similarity Framework",
"Low-Power Low-Noise CTIA Readout Integrated Circuit Design for Thermal Imaging Applications",
"Semantic image segmentation using fully convolutional neural networks with multi-scale images and multi-scale dilated convolutions",
"Control Strategies for Soft Robotic Manipulators: A Survey.",
"Defining textual entailment",
"Enhance word representation for out-of-vocabulary on Ubuntu dialogue corpus",
"A cross-cultural examination of presenteeism and supervisory support",
"Emerging Updates on the Posterior Cruciate Ligament: A Review of the Current Literature.",
"How to Create a Malevolent Artificial Intelligence",
"NEURAL LANGUAGE MODELS",
"Convergent and Divergent Operations in Cognitive Search",
"SOCIAL ROLE THEORY OF UNETHICAL LEADERSHIP 1 The Social Role Theory of Unethical Leadership",
"Artificial Intelligence as Structural Estimation: Economic Interpretations of Deep Blue, Bonanza, and AlphaGo",
"Graph Database Application using Neo4j - Railroad Planner Simulation",
"Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation",
"Tell me a story--a conceptual exploration of storytelling in healthcare education.",
"Distributed REScala: an update algorithm for distributed reactive programming",
"Cloud Computing: Pros and Cons for Computer Forensic Investigations",
"Vision-based Localization and Robot-centric Mapping in Riverine Environments",
"Application of Katharine Kolcaba Comfort Theory in Post Operative Child : Delivering Integrative Comfort Care Intervention by using Theory of Comfort – A Case Study of a 5 year Old Child Admitted in PICU with Laprotomy Experiencing Post Operative Discomfort",
"Factors affecting running economy in trained distance runners.",
"A survey on data stream clustering and classification"
] | [
0.8815469741821289,
0.8455705642700195,
0.817491888999939,
0.8765995502471924,
0.8353021144866943,
0.8026647567749023,
0.8091891407966614,
0.7928317785263062,
0.7909094095230103,
0.7789431810379028,
0.793780505657196,
0.7735157012939453,
0.8100409507751465,
0.8307204246520996,
0.8194300532341003,
0.7992959022521973,
0.7922729849815369,
0.8035721778869629,
0.8283399939537048,
0.800977349281311,
0.7460291385650635,
0.8040900826454163,
0.8166166543960571,
0.7998459935188293,
0.7979018688201904,
0.7780413627624512,
0.804913341999054,
0.8237780332565308,
0.8095792531967163
] | [
0.861691951751709,
0.834025502204895,
0.7992392182350159,
0.8503795862197876,
0.8156334757804871,
0.7936016321182251,
0.8085440993309021,
0.7595402002334595,
0.7496329545974731,
0.7775191068649292,
0.7822683453559875,
0.788347601890564,
0.7901937961578369,
0.8315302133560181,
0.8127445578575134,
0.7999035120010376,
0.7864774465560913,
0.8000304698944092,
0.8124982118606567,
0.7831286787986755,
0.7664986252784729,
0.769310474395752,
0.8122885823249817,
0.7680404782295227,
0.7883082628250122,
0.7714495658874512,
0.7971088886260986,
0.7913689613342285,
0.8035932183265686
] | [
0.8482151627540588,
0.8153504133224487,
0.7716498374938965,
0.8337127566337585,
0.806753396987915,
0.7593144178390503,
0.7992244958877563,
0.7616991996765137,
0.7420649528503418,
0.7578326463699341,
0.7556847929954529,
0.7572752237319946,
0.7797806262969971,
0.8108500838279724,
0.783074676990509,
0.7848840951919556,
0.7635608911514282,
0.7726345062255859,
0.7836341261863708,
0.7560445070266724,
0.7542558312416077,
0.758732259273529,
0.7864619493484497,
0.7654923796653748,
0.7636750936508179,
0.7630376815795898,
0.7591416835784912,
0.7754181623458862,
0.760053277015686
] | [
0.7416635751724243,
0.7152194380760193,
0.5636942386627197,
0.7173632383346558,
0.5591261386871338,
0.38284218311309814,
0.47077757120132446,
0.3855498433113098,
0.3818160891532898,
0.3760284185409546,
0.43815088272094727,
0.44294077157974243,
0.34551870822906494,
0.5882956981658936,
0.38724398612976074,
0.438315212726593,
0.4090205132961273,
0.4831284284591675,
0.6454169750213623,
0.47635123133659363,
0.42554521560668945,
0.4085482954978943,
0.5364906787872314,
0.49003922939300537,
0.3919995129108429,
0.43610745668411255,
0.5259952545166016,
0.43794506788253784,
0.42789050936698914
] | [
0.7513074278831482,
0.7081995010375977,
0.4670143723487854,
0.7189030647277832,
0.4788798689842224,
0.22539877891540527,
0.31720906496047974,
0.2226141095161438,
0.22163379192352295,
0.2209610491991043,
0.31184104084968567,
0.2964736223220825,
0.20179586112499237,
0.4908689260482788,
0.21828658878803253,
0.371306449174881,
0.2432592213153839,
0.3587415814399719,
0.6173202395439148,
0.3396298885345459,
0.26642268896102905,
0.28109630942344666,
0.39480236172676086,
0.3413432240486145,
0.2251884639263153,
0.28776562213897705,
0.4111369848251343,
0.3166193962097168,
0.27243494987487793
] | [
0.7811492681503296,
0.7573513984680176,
0.6127911806106567,
0.7639291286468506,
0.5979034900665283,
0.4195205867290497,
0.5135129690170288,
0.41847261786460876,
0.42148393392562866,
0.41849374771118164,
0.4711715877056122,
0.4857640266418457,
0.3877401053905487,
0.6113190054893494,
0.42545703053474426,
0.46570128202438354,
0.4466533064842224,
0.5206758379936218,
0.6871130466461182,
0.5204118490219116,
0.4660709500312805,
0.44437193870544434,
0.5782639980316162,
0.5185054540634155,
0.43094995617866516,
0.4689370095729828,
0.5645158886909485,
0.48495909571647644,
0.45813649892807007
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Agile Software Development in Large Organizations | [
"Object-Oriented Software Engineering : Measuring and Controlling the Development Process",
"An examination of software engineering work practices",
"CPAchecker: A Tool for Configurable Software Verification",
"Issues in Cloud Computing",
"How to Systematically Classify Computer Security Intrusions",
"Hand gesture recognition and voice conversion system for dumb people",
"Machine Learning Meets Databases",
"Latent Dirichlet Allocation",
"Playing Doom with SLAM-Augmented Deep Reinforcement Learning",
"A normative study of family media habits",
"WORKING PAPER SERIES Strategic Human Resource Management and Performance",
"DLR ’ s Dynamic Actuator Modules for Robotic Space Applications",
"AMOEBA: HIERARCHICAL CLUSTERING BASED ON SPATIAL PROXIMITY USING DELAUNATY DIAGRAM",
"Implications of the Fourth Industrial Age on Higher Education",
"Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition",
"Streaming video over the Internet: approaches and directions",
"Detection of Websites Based on PhishingWebsites Characteristics",
"Deviceless edge computing: extending serverless computing to the edge of the network",
"Development and validation of the Delaying Gratification Inventory.",
"How to exploit twitter for public health monitoring?",
"Scalable Fog Computing with Service Offloading in Bus Networks",
"Theory and Practice in Parallel Job Scheduling",
"Computing: A vision for data science",
"Trends in biotechnological production of fuel ethanol from different feedstocks.",
"HFT-CNN: Learning Hierarchical Category Structure for Multi-label Short Text Categorization",
"A cognitive-behavioral model of problematic online gaming in adolescents aged 12-22 years",
"Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning",
"Pattern Recognition and Machine Learning Solutions to the Exercises : Web-Edition",
"DEVELOPMENT OF FOUR WHEEL STEERING SYSTEM FOR A CAR",
"Line-sweep: Cross-ratio for wide-baseline matching and 3D reconstruction"
] | [
0.8690311908721924,
0.867445707321167,
0.83075350522995,
0.8359042406082153,
0.7868465185165405,
0.80759596824646,
0.8155817985534668,
0.8209497928619385,
0.8216192722320557,
0.8007164001464844,
0.8247385621070862,
0.7981739640235901,
0.8071315288543701,
0.8063341975212097,
0.7874078750610352,
0.7860052585601807,
0.806466817855835,
0.8374000787734985,
0.8173971176147461,
0.7919156551361084,
0.8029063940048218,
0.8351054191589355,
0.829302966594696,
0.802342414855957,
0.8048356771469116,
0.7964413166046143,
0.8103778958320618,
0.8155495524406433,
0.8113765716552734,
0.8012180924415588
] | [
0.8379166722297668,
0.8429243564605713,
0.8213760852813721,
0.8244891166687012,
0.7850358486175537,
0.784740686416626,
0.8006264567375183,
0.7943013906478882,
0.7897095680236816,
0.7763844728469849,
0.8028159141540527,
0.7637627124786377,
0.7697209119796753,
0.7919597625732422,
0.7797218561172485,
0.7748299241065979,
0.7849447727203369,
0.7906932234764099,
0.7974545359611511,
0.7877037525177002,
0.806006669998169,
0.8200204372406006,
0.815437376499176,
0.7685673832893372,
0.747654378414154,
0.7769465446472168,
0.7667689323425293,
0.7939392328262329,
0.7863818407058716,
0.7849342226982117
] | [
0.8260573148727417,
0.8121538162231445,
0.7895504832267761,
0.7869774699211121,
0.7803617119789124,
0.7774766683578491,
0.7948029637336731,
0.7430597543716431,
0.767462968826294,
0.7589916586875916,
0.7802279591560364,
0.7610601782798767,
0.7719138860702515,
0.7638130187988281,
0.7563008666038513,
0.7607818841934204,
0.7664743661880493,
0.790251612663269,
0.7951978445053101,
0.752168595790863,
0.7896485924720764,
0.782558798789978,
0.7898133993148804,
0.778011679649353,
0.7491092681884766,
0.7620387077331543,
0.7484419345855713,
0.7698678374290466,
0.7956022024154663,
0.7687598466873169
] | [
0.7183263301849365,
0.7639356851577759,
0.5319210886955261,
0.5292198061943054,
0.44356870651245117,
0.4209628105163574,
0.4992671608924866,
0.5088046789169312,
0.4172433018684387,
0.4520622193813324,
0.5559815168380737,
0.484427273273468,
0.45677560567855835,
0.4202580749988556,
0.344635009765625,
0.4239751398563385,
0.4358482360839844,
0.4664915204048157,
0.4974184036254883,
0.3712078332901001,
0.4572673738002777,
0.5464712977409363,
0.5272160768508911,
0.40331387519836426,
0.3813716769218445,
0.43127918243408203,
0.3853341341018677,
0.49754798412323,
0.46480923891067505,
0.3948257863521576
] | [
0.6336947679519653,
0.7022315263748169,
0.4303894639015198,
0.4340030550956726,
0.32871729135513306,
0.2983528971672058,
0.361110657453537,
0.38391658663749695,
0.26385602355003357,
0.3099634349346161,
0.46217912435531616,
0.3549122214317322,
0.3119872212409973,
0.33217793703079224,
0.2052532136440277,
0.28981584310531616,
0.3115241527557373,
0.34891653060913086,
0.3739965558052063,
0.2839628756046295,
0.3394964635372162,
0.4181031584739685,
0.36735478043556213,
0.25037047266960144,
0.2536030411720276,
0.2758941054344177,
0.24941596388816833,
0.36472272872924805,
0.35521262884140015,
0.29215824604034424
] | [
0.723109781742096,
0.7577389478683472,
0.5549744367599487,
0.549566388130188,
0.4729863703250885,
0.45846864581108093,
0.5286961793899536,
0.5437761545181274,
0.4532492458820343,
0.497286856174469,
0.5635020136833191,
0.5036360621452332,
0.49182260036468506,
0.455509752035141,
0.37460532784461975,
0.4743511974811554,
0.47358596324920654,
0.4937755763530731,
0.5191114544868469,
0.4053870439529419,
0.4790392816066742,
0.562447190284729,
0.5489290356636047,
0.42926663160324097,
0.4081454277038574,
0.45945361256599426,
0.4139748215675354,
0.5340815782546997,
0.5066990852355957,
0.4291911721229553
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
From Feedforward to Recurrent LSTM Neural Networks for Language Modeling | [
"Learning Longer Memory in Recurrent Neural Networks",
"MS-LSTM: A multi-scale LSTM model for BGP anomaly detection",
"The functions of the orbitofrontal cortex",
"LSTM recurrent networks learn simple context-free and context-sensitive languages",
"The functional neuroanatomy of the human orbitofrontal cortex: evidence from neuroimaging and neuropsychology",
"Adversarial Manipulation of Deep Representations",
"Multi-Agent Reinforcement Learning: Independent versus Cooperative Agents",
"Determinants of Customer Satisfaction in Fast Food Industry A Study of Fast Food Restaurants Peshawar Pakistan",
"Using and validating the strategic alignment model",
"Document Summarization via Guided Sentence Compression",
"Text-based CAPTCHA strengths and weaknesses",
"Comprehending pronouns: a role for word-specific gender stereotype information.",
"The Linear Programming Approach to Approximate Dynamic Programming",
"Quadrotor Helicopter Flight Dynamics and Control : Theory and Experiment ∗",
"The Evolutionary Origins of Hierarchy",
"Perseverance in self-perception and social perception: biased attributional processes in the debriefing paradigm.",
"Differential effects of 30- vs. 60-second static muscle stretching on vertical jump performance.",
"Visual Storytelling",
"What makes a good app description?",
"Mining Opinion Features in Customer Reviews",
"Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation",
"A Mobility-Aware and Quality-Driven Retransmission Limit Adaptation Scheme for Video Streaming over VANETs",
"Conceptions of how a learning or teaching curriculum, workplace culture and agency of individuals shape medical student learning and supervisory practices in the clinical workplace.",
"The chi-square test for independence",
"A One-Hour Curriculum to Engage Middle School Students in Robotics and Computer Science Using Cubelets",
"Visual inertial odometry for quadrotors on SE(3)",
"RefSeer: A citation recommendation system",
"Multi-modal Variational Encoder-Decoders",
"Transformational leadership, empowerment, and job satisfaction: the mediating role of employee empowerment",
"PKUSUMSUM : A Java Platform for Multilingual Document Summarization"
] | [
0.9027218818664551,
0.8559662103652954,
0.817916989326477,
0.9051430225372314,
0.788694441318512,
0.8485667705535889,
0.8314900398254395,
0.7885199785232544,
0.8170410990715027,
0.836526095867157,
0.8209145069122314,
0.8224642276763916,
0.834466814994812,
0.7825215458869934,
0.8061262369155884,
0.7945218086242676,
0.7822827100753784,
0.7829351425170898,
0.7720568180084229,
0.8013838529586792,
0.8064896464347839,
0.810021162033081,
0.7795371413230896,
0.7915452718734741,
0.8012391924858093,
0.7911784648895264,
0.8234702944755554,
0.8322043418884277,
0.784598708152771,
0.8437871932983398
] | [
0.8602133989334106,
0.8185953497886658,
0.8064794540405273,
0.8755578398704529,
0.7939292192459106,
0.8274316787719727,
0.7960368394851685,
0.7508607506752014,
0.7837469577789307,
0.7860474586486816,
0.7928011417388916,
0.8121306896209717,
0.7938283681869507,
0.7644293308258057,
0.791356086730957,
0.7889725565910339,
0.7550899982452393,
0.7626462578773499,
0.7529168128967285,
0.7894350290298462,
0.7943173050880432,
0.7776073813438416,
0.7474913001060486,
0.777083158493042,
0.7782004475593567,
0.7759238481521606,
0.7853626012802124,
0.8071657419204712,
0.7786417007446289,
0.7977803349494934
] | [
0.8564318418502808,
0.8237179517745972,
0.7916837930679321,
0.8679604530334473,
0.7722952365875244,
0.7871729135513306,
0.7850873470306396,
0.7438056468963623,
0.762913703918457,
0.7689299583435059,
0.786950945854187,
0.7770765423774719,
0.7718227505683899,
0.7381371259689331,
0.7641428709030151,
0.7566553950309753,
0.7412441968917847,
0.7517805099487305,
0.7438700199127197,
0.7683041095733643,
0.7800135612487793,
0.7353660464286804,
0.7335431575775146,
0.778170108795166,
0.7532328367233276,
0.7571927309036255,
0.768060028553009,
0.7883992791175842,
0.7175366878509521,
0.7940977811813354
] | [
0.7749290466308594,
0.6769989728927612,
0.5183871984481812,
0.8735553026199341,
0.4903389513492584,
0.580703616142273,
0.49978989362716675,
0.4041452407836914,
0.45984044671058655,
0.6165378093719482,
0.5259575247764587,
0.5908064842224121,
0.5170576572418213,
0.4222933351993561,
0.4292193055152893,
0.4567718505859375,
0.3432806730270386,
0.46659916639328003,
0.38493701815605164,
0.5651834011077881,
0.5215432047843933,
0.40494316816329956,
0.3543793559074402,
0.4700045883655548,
0.44651031494140625,
0.40305355191230774,
0.4945192337036133,
0.6021841764450073,
0.3577306568622589,
0.5822185277938843
] | [
0.7266792058944702,
0.6232527494430542,
0.37977486848831177,
0.8464925289154053,
0.3398745059967041,
0.44283780455589294,
0.3156283497810364,
0.23804761469364166,
0.29405173659324646,
0.4782972037792206,
0.39961862564086914,
0.4679678678512573,
0.38867098093032837,
0.25956010818481445,
0.2837197184562683,
0.3023335635662079,
0.17076830565929413,
0.31723752617836,
0.31021928787231445,
0.41090989112854004,
0.38634711503982544,
0.2873690128326416,
0.19356682896614075,
0.314481258392334,
0.29276135563850403,
0.2536890506744385,
0.3379439115524292,
0.503667950630188,
0.2041655331850052,
0.45606890320777893
] | [
0.7745063900947571,
0.6930544376373291,
0.5530526638031006,
0.865132212638855,
0.5134396553039551,
0.5932023525238037,
0.5348260402679443,
0.43665337562561035,
0.480531245470047,
0.6290571689605713,
0.5529086589813232,
0.6062883734703064,
0.5441402196884155,
0.45383578538894653,
0.47945457696914673,
0.4819785952568054,
0.37679237127304077,
0.5140031576156616,
0.4145597219467163,
0.5835829377174377,
0.5389748215675354,
0.4360203444957733,
0.37220048904418945,
0.5192655324935913,
0.46980687975883484,
0.4323146641254425,
0.518553614616394,
0.6174615621566772,
0.3818734288215637,
0.6035631895065308
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Flexible 16 Antenna Array for Microwave Breast Cancer Detection | [
"Miniaturized UWB Antipodal Vivaldi Antenna and Its Application for Detection of Void Inside Concrete Specimens",
"Near-Field Microwave Imaging Based on Aperture Raster Scanning With TEM Horn Antennas",
"Breast cancer imaging at mm-waves: Feasibility study on the safety exposure limits",
"Directivity Improvement of Vivaldi Antenna Using Double-Slot Structure",
"A large-scale study of the ultrawideband microwave dielectric properties of normal, benign and malignant breast tissues obtained from cancer surgeries.",
"VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images",
"Constrained K-Means Clustering",
"Analyzing Android Encrypted Network Traffic to Identify User Actions",
"Generalized Zero-Shot Learning via Synthesized Examples",
"Hierarchical Text Classification and Evaluation",
"Object-Centric Spatial Pooling for Image Classification",
"Predicting personality with social media",
"Business process modelling : Review and framework",
"Exercise-induced neuroplasticity: Balance training increases cortical thickness in visual and vestibular cortical regions",
"A prototype for assessing information security awareness",
"TOTAL QUALITY MANAGEMENT AS COMPETITIVE ADVANTAGE : A REVIEW AND EMPIRICAL STUDY",
"Fundamental Tradeoff in Knowledge Representation and Reasoning ( Revised Versionl )",
"A Review of More-Electric Aircraft",
"Oruta: Privacy-Preserving Public Auditing for Shared Data in the Cloud",
"Exploring mobile wallet adoption in Indonesia using UTAUT2: An approach from consumer perspective",
"Fixed dental prostheses with vertical tooth preparations without finish lines: A report of two patients.",
"A Survey of Personality Computing",
"IMPACT OF GREEN SUPPLY CHAIN MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE : A REVIEW",
"EFFECTS OF HABITAT FRAGMENTATION ON BIODIVERSITY",
"Pancultural self-enhancement.",
"CBA: Cloud-Based Bigdata Analytics",
"Developing Trust in Virtual Teams",
"Efficient cryptographic techniques for securing storage systems",
"Modelling Valence and Arousal in Facebook posts",
"Optimal planning and design of a renewable energy based supply system for microgrids"
] | [
0.8463040590286255,
0.847271203994751,
0.8807657957077026,
0.8437391519546509,
0.8680089116096497,
0.8303126096725464,
0.8105197548866272,
0.818895697593689,
0.7996395230293274,
0.8040236234664917,
0.8090451955795288,
0.7933385968208313,
0.7782707214355469,
0.7790977954864502,
0.8233769536018372,
0.7826272249221802,
0.7953060865402222,
0.8091022968292236,
0.8241835832595825,
0.7965977191925049,
0.7934377193450928,
0.7835708260536194,
0.7749208807945251,
0.7816033363342285,
0.7955447435379028,
0.8398503661155701,
0.7800671458244324,
0.8111572265625,
0.797950029373169,
0.8059420585632324
] | [
0.8126115798950195,
0.8398420810699463,
0.8546013832092285,
0.8019328713417053,
0.8661623001098633,
0.787765383720398,
0.791034460067749,
0.781676173210144,
0.7630214691162109,
0.7580072283744812,
0.750091016292572,
0.762840747833252,
0.757046103477478,
0.7714055776596069,
0.790953516960144,
0.7606260776519775,
0.7567476034164429,
0.785464346408844,
0.7818093299865723,
0.7678823471069336,
0.7754493951797485,
0.7860146760940552,
0.7252240180969238,
0.7467842102050781,
0.7471014261245728,
0.7899178862571716,
0.7528444528579712,
0.7794903516769409,
0.7870886921882629,
0.7640858888626099
] | [
0.8028088808059692,
0.8139047622680664,
0.8458001613616943,
0.7835992574691772,
0.8573646545410156,
0.7738969326019287,
0.7654895186424255,
0.7719000577926636,
0.7472497224807739,
0.7615005373954773,
0.7545022964477539,
0.7594072818756104,
0.74526047706604,
0.7835666537284851,
0.7725956439971924,
0.760959267616272,
0.7476965188980103,
0.7625700235366821,
0.763525128364563,
0.7428070306777954,
0.7746273875236511,
0.767167329788208,
0.7282087802886963,
0.7392728328704834,
0.7559922337532043,
0.7786809802055359,
0.7455815076828003,
0.7533136010169983,
0.7510918378829956,
0.7503135204315186
] | [
0.6774680614471436,
0.7040128111839294,
0.7446526288986206,
0.6508707404136658,
0.7546396255493164,
0.4328007400035858,
0.5074870586395264,
0.3738396465778351,
0.40305089950561523,
0.45386114716529846,
0.49759650230407715,
0.41115280985832214,
0.37157687544822693,
0.417590856552124,
0.3914872407913208,
0.3457289934158325,
0.4103088676929474,
0.4619136452674866,
0.3917503356933594,
0.37040504813194275,
0.38746389746665955,
0.4251466989517212,
0.3684743046760559,
0.36690789461135864,
0.38779813051223755,
0.428117573261261,
0.36986494064331055,
0.416826069355011,
0.4196681082248688,
0.42147111892700195
] | [
0.591421365737915,
0.6198151707649231,
0.6726324558258057,
0.5457731485366821,
0.7078626155853271,
0.3033425211906433,
0.3656645715236664,
0.21627762913703918,
0.2511982023715973,
0.2799915075302124,
0.37114614248275757,
0.25480061769485474,
0.1887991577386856,
0.27510136365890503,
0.21918603777885437,
0.20598942041397095,
0.2672262191772461,
0.3236581087112427,
0.23092737793922424,
0.22685712575912476,
0.22706109285354614,
0.2594868242740631,
0.1966819316148758,
0.22035421431064606,
0.23903360962867737,
0.2824295163154602,
0.23700876533985138,
0.23417732119560242,
0.2687872052192688,
0.2093343436717987
] | [
0.6744899153709412,
0.6990997195243835,
0.7457563877105713,
0.655115008354187,
0.7493318319320679,
0.4624914526939392,
0.5343126058578491,
0.401437908411026,
0.4350765347480774,
0.47686639428138733,
0.529002845287323,
0.44328951835632324,
0.4187251925468445,
0.45174241065979004,
0.42304593324661255,
0.38298261165618896,
0.44731366634368896,
0.5151361227035522,
0.42686641216278076,
0.4033711552619934,
0.4288875460624695,
0.46054160594940186,
0.3931616544723511,
0.4075562357902527,
0.4347980320453644,
0.4680187702178955,
0.4032628536224365,
0.45787882804870605,
0.4555761218070984,
0.45483484864234924
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Research Directions for the Internet of Things | [
"Internet of Things : Perspectives , Challenges and Opportunities",
"Collective dynamics of ‘small-world’ networks",
"Understanding JavaScript event-based interactions",
"Big Data, Internet of Things and Cloud Convergence – An Architecture for Secure E-Health Applications",
"Challenges Internet of Things Maturity : From Experiments to Industrialization About the",
"Application of text mining in the biomedical domain.",
"Government innovation through social media",
"Learning Vertex Representations for Bipartite Networks",
"A dual coordinate descent method for large-scale linear SVM",
"Semantic image segmentation using fully convolutional neural networks with multi-scale images and multi-scale dilated convolutions",
"Mindfulness-based approaches: are they all the same?",
"Number 2 Self-Schemata and Processing Information About the Self",
"Extreme learning machine: Theory and applications",
"Do hospital fall prevention programs work? A systematic review.",
"Webshell detection techniques in web applications",
"Study of Various Methods for Brain Tumour Segmentation from MRI Images",
"Demo2Vec: Reasoning Object Affordances from Online Videos",
"TwinsCoin: A Cryptocurrency via Proof-of-Work and Proof-of-Stake",
"Does Colorspace Transformation Make Any Difference on Skin Detection?",
"A Survey of Collaborative Filtering Algorithms for Social Recommender Systems",
"Prerequisite Relation Learning for Concepts in MOOCs",
"A Communication System for Deaf and Dumb People",
"DNA extraction and quantitation of forensic samples using the phenol-chloroform method and real-time PCR.",
"Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation",
"A Comparative Analysis of Selection Schemes Used in Genetic Algorithms",
"CHOICE AND PROCRASTINATION *",
"Undoing the Damage of Dataset Bias",
"27 Critical Thinking about Critical Periods : Perspectives on a Critical Period for Language Acquisition",
"REHABILITATION FOR ANTERIOR KNEE PAIN EVALUATION AND REHABILITATION FOR ANTERIOR KNEE PAIN",
"Music and Art in Conflict Transformation : A Review"
] | [
0.9118504524230957,
0.8167064189910889,
0.8264827132225037,
0.849838137626648,
0.9052831530570984,
0.8402076959609985,
0.8189871907234192,
0.8164600133895874,
0.8074142932891846,
0.8008707761764526,
0.8087804913520813,
0.831046462059021,
0.8317619562149048,
0.8036969304084778,
0.823676347732544,
0.8200713396072388,
0.8357160091400146,
0.8140000104904175,
0.7831898927688599,
0.8149187564849854,
0.8241903781890869,
0.8238846063613892,
0.8096586465835571,
0.8015998601913452,
0.8015041351318359,
0.8203116655349731,
0.8397336006164551,
0.812993049621582,
0.8010988235473633,
0.7824814915657043
] | [
0.8808043599128723,
0.7885384559631348,
0.7948019504547119,
0.834690272808075,
0.8680157661437988,
0.8095763921737671,
0.8159784078598022,
0.7854788303375244,
0.7835190296173096,
0.7778756022453308,
0.7965612411499023,
0.7893812656402588,
0.8202619552612305,
0.7752645015716553,
0.8050336241722107,
0.8122972846031189,
0.8001904487609863,
0.7935043573379517,
0.7780143022537231,
0.7846604585647583,
0.8022797107696533,
0.8290382623672485,
0.7757863998413086,
0.7908759713172913,
0.7825257778167725,
0.7836000919342041,
0.822752833366394,
0.7849615812301636,
0.7649471759796143,
0.750201404094696
] | [
0.851394772529602,
0.7909815311431885,
0.8093681931495667,
0.821900486946106,
0.8625556230545044,
0.8122028112411499,
0.8134429454803467,
0.7736762166023254,
0.7771011590957642,
0.7784121036529541,
0.8028788566589355,
0.7855838537216187,
0.7917758226394653,
0.76567542552948,
0.795802116394043,
0.7844598293304443,
0.7797420620918274,
0.7931527495384216,
0.7728738188743591,
0.781187891960144,
0.7988468408584595,
0.8050634860992432,
0.7738023400306702,
0.7761439085006714,
0.7584996223449707,
0.7771119475364685,
0.8054841756820679,
0.7782487273216248,
0.760459303855896,
0.7330257296562195
] | [
0.8366466164588928,
0.6030570864677429,
0.5036656856536865,
0.6619580984115601,
0.7736831307411194,
0.4944347143173218,
0.5360571146011353,
0.5236716866493225,
0.4924452304840088,
0.4624636173248291,
0.4340963661670685,
0.4411052167415619,
0.5353224873542786,
0.4127469062805176,
0.5436155796051025,
0.4575349986553192,
0.46880942583084106,
0.5472484827041626,
0.42699766159057617,
0.5623672008514404,
0.44152718782424927,
0.5637907981872559,
0.47631314396858215,
0.4397871196269989,
0.5042305588722229,
0.4150945544242859,
0.458158403635025,
0.40080979466438293,
0.39540931582450867,
0.414802610874176
] | [
0.8563607931137085,
0.4654877185821533,
0.37378743290901184,
0.5951628684997559,
0.8016139268875122,
0.29854798316955566,
0.40354427695274353,
0.3540143370628357,
0.30974262952804565,
0.26455560326576233,
0.24944409728050232,
0.26606684923171997,
0.3705880641937256,
0.24248981475830078,
0.3972880244255066,
0.2503837049007416,
0.3414148688316345,
0.42855221033096313,
0.2682698369026184,
0.3960607349872589,
0.2757442593574524,
0.4137844741344452,
0.28375083208084106,
0.2789841890335083,
0.3344423174858093,
0.23807737231254578,
0.2588096857070923,
0.21652188897132874,
0.26282799243927,
0.2139122039079666
] | [
0.837391197681427,
0.6260296702384949,
0.5183348059654236,
0.6646567583084106,
0.76877760887146,
0.5018370151519775,
0.5604442358016968,
0.5467068552970886,
0.5187543630599976,
0.4839472770690918,
0.46004602313041687,
0.4774485230445862,
0.5596958994865417,
0.4314195513725281,
0.5718626976013184,
0.48476654291152954,
0.4925191104412079,
0.5899000763893127,
0.4464014172554016,
0.5771956443786621,
0.471646249294281,
0.58202064037323,
0.4885483384132385,
0.45908671617507935,
0.5347769856452942,
0.438450425863266,
0.4910358190536499,
0.42407354712486267,
0.4040411710739136,
0.4523589015007019
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
The Emergence of Educational Technology | [
"Why do students complete MOOCs ?",
"Instructional quality of Massive Open Online Courses (MOOCs)",
"Patterns of Engagement in Connectivist MOOCs",
"Context counts: How learners' contexts influence learning in a MOOC",
"MOOCs - A Review of the State-of-the-Art",
"Changing Focus on Interoperability in Information Systems:From System, Syntax, Structure to Semantics",
"DrAcc: a DRAM based Accelerator for Accurate CNN Inference",
"K nearest neighbor for text summarization using feature similarity",
"Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration",
"Adaptive anisotropic remeshing for cloth simulation",
"What is best practice for training intensity and duration distribution in endurance athletes?",
"Mobile Edge Computation Offloading Using Game Theory and Reinforcement Learning",
"Competing through service : Insights from service-dominant logic",
"Fingerprint enhancement for direct grayscale minutiae extraction by combining MFRAT and Gabor filters",
"Semantic Relations Between Nominals Vivi Nastase1, Preslav Nakov2, Diarmuid Ó Séaghdha3, and Stan Szpakowicz4 (1FBK, Trento; 2QCRI, Qatar Foundation; 3University of Cambridge; 4University of Ottawa) Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume ",
"Aligning Where to See and What to Tell: Image Captioning with Region-Based Attention and Scene-Specific Contexts",
"Clouds of virtual machines in edge networks",
"Simple and Effective Semi-Supervised Question Answering",
"Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question Answering",
"Multiple Graph Label Propagation by Sparse Integration",
"Multi-style Generative Reading Comprehension",
"Co-learning of Word Representations and Morpheme Representations",
"Towards Information Profiling: Data Lake Content Metadata Management",
"Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency",
"A Comparison of learning algorithms on the Arcade Learning Environment",
"A Blockchain Research Framework - What We (don't) Know, Where We Go from Here, and How We Will Get There",
"Jype - a program visualization and programming exercise tool for Python",
"Supply chain management : theory , practice and future challenges",
"E-Commerce and International Tax Planning",
"CLASSIFICATION ALGORITHMS FOR BIG DATA ANALYSIS, A MAP REDUCE APPROACH"
] | [
0.8116976022720337,
0.8334771990776062,
0.7975811958312988,
0.8112187385559082,
0.8198192119598389,
0.8148260116577148,
0.7961791753768921,
0.7925494909286499,
0.7512319087982178,
0.7901573181152344,
0.7721954584121704,
0.8260048627853394,
0.8113529086112976,
0.7831252813339233,
0.7854746580123901,
0.7945537567138672,
0.8251596689224243,
0.8152808547019958,
0.7950253486633301,
0.7861043214797974,
0.8371908068656921,
0.8362468481063843,
0.8142240047454834,
0.7711437940597534,
0.8355743885040283,
0.8132694959640503,
0.7878987789154053,
0.8064444065093994,
0.8368310332298279,
0.7956653833389282
] | [
0.8110681176185608,
0.8066430687904358,
0.7932108640670776,
0.7941393852233887,
0.8222817182540894,
0.7927383184432983,
0.765264630317688,
0.7660874724388123,
0.7594128251075745,
0.7728382349014282,
0.762366533279419,
0.791242241859436,
0.7920506000518799,
0.7618411779403687,
0.7850816249847412,
0.7913475632667542,
0.8113890290260315,
0.8121589422225952,
0.780357837677002,
0.7661376595497131,
0.7970626354217529,
0.8174692988395691,
0.7827330827713013,
0.7646448016166687,
0.8232415318489075,
0.8078145980834961,
0.7804282903671265,
0.7722211480140686,
0.8167552947998047,
0.7742810249328613
] | [
0.7807539105415344,
0.8083133697509766,
0.8011077642440796,
0.7715039849281311,
0.8190368413925171,
0.787989616394043,
0.7659587860107422,
0.758994460105896,
0.739182710647583,
0.739330530166626,
0.7495490312576294,
0.7820184826850891,
0.7479415535926819,
0.7328206300735474,
0.7779500484466553,
0.7361447811126709,
0.7838992476463318,
0.77711021900177,
0.7418251633644104,
0.7539357542991638,
0.7588918209075928,
0.7875888347625732,
0.7662726044654846,
0.735713541507721,
0.8076969385147095,
0.7791203260421753,
0.7632380723953247,
0.7592333555221558,
0.7762004733085632,
0.7526073455810547
] | [
0.5554056167602539,
0.648819625377655,
0.6632106304168701,
0.6677393913269043,
0.6809496879577637,
0.5382056832313538,
0.4149266481399536,
0.44550758600234985,
0.36871254444122314,
0.43684136867523193,
0.3677414059638977,
0.4458969235420227,
0.49448463320732117,
0.3830423057079315,
0.4945787787437439,
0.48282814025878906,
0.4455365538597107,
0.4293343722820282,
0.4356772005558014,
0.4227074384689331,
0.5477941632270813,
0.4821809232234955,
0.49507901072502136,
0.39255988597869873,
0.5566126704216003,
0.470363974571228,
0.5487757325172424,
0.45149481296539307,
0.4612427055835724,
0.43178892135620117
] | [
0.5205402374267578,
0.5808377265930176,
0.5813180804252625,
0.5856695175170898,
0.6133887767791748,
0.39236167073249817,
0.25426748394966125,
0.28626030683517456,
0.2170604020357132,
0.2959305942058563,
0.28003889322280884,
0.3384817838668823,
0.3380727171897888,
0.22661268711090088,
0.36739838123321533,
0.3525369167327881,
0.29493749141693115,
0.302848756313324,
0.32459503412246704,
0.2578117847442627,
0.420041024684906,
0.337965726852417,
0.3331957459449768,
0.2690695524215698,
0.4391021728515625,
0.29721689224243164,
0.4255245327949524,
0.25835108757019043,
0.32528722286224365,
0.25742828845977783
] | [
0.5132947564125061,
0.6693328022956848,
0.6701976656913757,
0.6778789162635803,
0.6865448355674744,
0.5627666711807251,
0.4339732825756073,
0.4662850499153137,
0.3976021707057953,
0.4643276333808899,
0.39403223991394043,
0.46939700841903687,
0.5259195566177368,
0.424329936504364,
0.49133384227752686,
0.4943764805793762,
0.47376924753189087,
0.44671565294265747,
0.4487181007862091,
0.4569655656814575,
0.5572568774223328,
0.5076233148574829,
0.5294384956359863,
0.4260924756526947,
0.5795731544494629,
0.484397828578949,
0.5696221590042114,
0.4808528423309326,
0.5007312893867493,
0.4583549201488495
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Ethnic Polarization , Potential Con ict , and Civil Wars | [
"Does democracy preempt civil wars ?",
"Social influence effects on automatic racial prejudice.",
"Implications of ethnic diversity",
"Contextual moderation of racial bias: the impact of social roles on controlled and automatically activated attitudes.",
"Ethnic diversity and economic development",
"Evolutionary background for stress-coping styles: Relationships between physiological, behavioral, and cognitive traits in non-mammalian vertebrates",
"Simultaneous Detection and Segmentation",
"An Android Application Protection Scheme against Dynamic Reverse Engineering Attacks",
"Implementing a Functional Spreadsheet in Clean",
"AI techniques for the game of Go",
"Investigating Information Systems with Action Research",
"Computer Self-Efficacy, Computer Anxiety, and Attitudes toward the Internet: A Study among Undergraduates in Unimas",
"Average prime-pair counting formula",
"Practical Tooling for Serverless Computing",
"Dual-Band Circularly Polarized Stacked Annular-Ring Patch Antenna for GPS Application",
"Why do some resource-abundant countries succeed while others do not ?",
"Structure Preserving Video Prediction",
"Real-time Rumor Debunking on Twitter",
"Crowdfunding : An Industrial Organization Perspective ∗",
"Problem-solving methods in artificial intelligence",
"- 1-Corruption , Public Investment , and Growth",
"Information systems as a strategic partner in organizational performance",
"Forest annual carbon cost: a global-scale analysis of autotrophic respiration.",
"Reinforcement Learning with Deep Energy-Based Policies",
"Evaluation of Retrieval Algorithms for Expertise Search",
"A novel type of transient luminous event produced by terrestrial gamma-ray flashes",
"Modeling Source Syntax for Neural Machine Translation",
"DENSER: deep evolutionary network structured representation",
"One size fits all ? Towards a differentiated policy approach with respect to regional innovation systems",
"LCSTS: A Large Scale Chinese Short Text Summarization Dataset"
] | [
0.8524510860443115,
0.8418643474578857,
0.8611388206481934,
0.8501384258270264,
0.8701694011688232,
0.7991174459457397,
0.8054938912391663,
0.773610532283783,
0.7677372694015503,
0.7945143580436707,
0.807712197303772,
0.8223334550857544,
0.8134390115737915,
0.7830471992492676,
0.7925881147384644,
0.8061095476150513,
0.7860537767410278,
0.808656632900238,
0.8066761493682861,
0.790373682975769,
0.8207966089248657,
0.7957582473754883,
0.7976655960083008,
0.7991675138473511,
0.7845764756202698,
0.7924444675445557,
0.7768136262893677,
0.7927604913711548,
0.8111099004745483,
0.7811145782470703
] | [
0.8274122476577759,
0.8238140940666199,
0.8277252912521362,
0.8141659498214722,
0.8267154693603516,
0.7837710380554199,
0.7815629839897156,
0.7710543870925903,
0.7523263692855835,
0.7766643762588501,
0.7714262008666992,
0.7631600499153137,
0.7820984125137329,
0.7671018838882446,
0.7649312019348145,
0.7947661876678467,
0.770177960395813,
0.791965126991272,
0.8199172616004944,
0.7771351337432861,
0.8350277543067932,
0.7809648513793945,
0.7785232663154602,
0.7767161130905151,
0.777656078338623,
0.7634345293045044,
0.7618249654769897,
0.7622610330581665,
0.7887383103370667,
0.7645415663719177
] | [
0.8373318910598755,
0.8070782423019409,
0.8330763578414917,
0.7980668544769287,
0.8107402920722961,
0.7396608591079712,
0.7607334852218628,
0.7625308036804199,
0.7335662841796875,
0.7734769582748413,
0.7654894590377808,
0.7910021543502808,
0.7511187791824341,
0.7504909634590149,
0.7314412593841553,
0.7844246625900269,
0.7515751123428345,
0.7597145438194275,
0.7796878814697266,
0.7635667324066162,
0.79191654920578,
0.753605842590332,
0.7406958341598511,
0.7586385607719421,
0.7430649399757385,
0.7286416292190552,
0.7605969905853271,
0.7710093259811401,
0.7618969678878784,
0.7605242133140564
] | [
0.6873865127563477,
0.6173781156539917,
0.7456248998641968,
0.5931034088134766,
0.7185697555541992,
0.478756844997406,
0.45754390954971313,
0.4013094902038574,
0.37141793966293335,
0.45226380228996277,
0.46803563833236694,
0.5203181505203247,
0.4140445590019226,
0.3935052156448364,
0.4070757329463959,
0.5152791738510132,
0.3991873860359192,
0.4641154706478119,
0.5080773830413818,
0.44941848516464233,
0.5085231065750122,
0.46793994307518005,
0.46674051880836487,
0.38978224992752075,
0.3840728998184204,
0.4131109118461609,
0.38209736347198486,
0.4522497057914734,
0.49427294731140137,
0.407518208026886
] | [
0.6415136456489563,
0.49208253622055054,
0.6643919348716736,
0.45061272382736206,
0.6274294257164001,
0.3138342797756195,
0.3234420418739319,
0.28396520018577576,
0.23920240998268127,
0.31881216168403625,
0.3513275682926178,
0.42656978964805603,
0.2712063789367676,
0.2708017826080322,
0.26806485652923584,
0.42029523849487305,
0.2701801657676697,
0.35839518904685974,
0.3669484257698059,
0.309868723154068,
0.412753164768219,
0.3748633861541748,
0.3116756081581116,
0.2327542006969452,
0.2503756284713745,
0.2615026533603668,
0.25088071823120117,
0.29890191555023193,
0.37115246057510376,
0.2685442268848419
] | [
0.6718423962593079,
0.6504404544830322,
0.7358311414718628,
0.617164134979248,
0.7282668352127075,
0.5265495777130127,
0.5099841356277466,
0.4621909558773041,
0.4176391661167145,
0.5123974084854126,
0.5175669193267822,
0.5656424760818481,
0.470094233751297,
0.44439470767974854,
0.448993444442749,
0.5049195885658264,
0.44400694966316223,
0.5254127979278564,
0.556888222694397,
0.5027973651885986,
0.5162519812583923,
0.5284225940704346,
0.5186390280723572,
0.4426530599594116,
0.4428424537181854,
0.47026848793029785,
0.4385458827018738,
0.49285805225372314,
0.5343242287635803,
0.4559566080570221
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Adversarial Examples for Generative Models | [
"Adversarial-Playground: A Visualization Suite for Adversarial Sample Generation",
"Adversarial Examples for Semantic Image Segmentation",
"Efficient and robust deep networks for semantic segmentation",
"Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN",
"The Robust Manifold Defense: Adversarial Training using Generative Models",
"Correlates of Young Women ’ s Interest in Obtaining Cosmetic Surgery",
"A Comprehensive Study of StaQC for Deep Code Summarization",
"Agent Behavior in the Sharing Economy : Evidence from Airbnb",
"Sentiment Classification with Deep Neural Networks",
"Deep learning detecting fraud in credit card transactions",
"Flexible, Stretchable Sensors for Wearable Health Monitoring: Sensing Mechanisms, Materials, Fabrication Strategies and Features",
"Channel Pruning for Accelerating Very Deep Neural Networks",
"Deep Transfer Learning with Joint Adaptation Networks",
"Sensor Applications and Physiological Features in Drivers’ Drowsiness Detection: A Review",
"Hypothesizing the Aptness of Social Media and the Information Richness Requirements of Disaster Management",
"A 10-week randomized trial comparing eccentric vs. concentric hamstring strength training in well-trained soccer players.",
"A Real-Time Face Detector Based on an End-to-End CNN",
"Silhouette Analysis-Based Gait Recognition for Human Identification",
"Natural Language is a Programming Language: Applying Natural Language Processing to Software Development",
"Modeling Credit Risk for SMEs : Evidence from the US Market",
"Understanding Chinese Consumers ’ Intention to Purchase Sustainable Fashion Products : The Moderating Role of Face-Saving Orientation",
"A large-scale benchmark dataset for event recognition in surveillance video",
"Information Feedback, Targeting, and Coordination: An Experimental Study",
"Botta: An Arabic Dialect Chatbot",
"Data association for multi-object Tracking-by-Detection in multi-camera networks",
"A causal framework for explaining the predictions of black-box sequence-to-sequence models",
"Sentence Embedding for Neural Machine Translation Domain Adaptation",
"Performance Comparison and Evaluation of Web Development Technologies in PHP, Python, and Node.js",
"Associating neural word embeddings with deep image representations using Fisher Vectors",
"Natural Language Guided Visual Relationship Detection"
] | [
0.8960914611816406,
0.940483808517456,
0.8404558897018433,
0.908208429813385,
0.9107606410980225,
0.771285891532898,
0.8169424533843994,
0.7920828461647034,
0.8338643908500671,
0.8320345878601074,
0.7786226272583008,
0.8277779817581177,
0.8412226438522339,
0.79256272315979,
0.8027451634407043,
0.7705533504486084,
0.8207591772079468,
0.8066960573196411,
0.7923351526260376,
0.8149280548095703,
0.7892178893089294,
0.8106476068496704,
0.7966806888580322,
0.8207064867019653,
0.8124301433563232,
0.8309294581413269,
0.8381358981132507,
0.7877117991447449,
0.8202002048492432,
0.818007230758667
] | [
0.8824371695518494,
0.932532548904419,
0.809846043586731,
0.9029965400695801,
0.9023971557617188,
0.7447532415390015,
0.789291262626648,
0.7824028730392456,
0.8183574676513672,
0.8191472291946411,
0.7810218930244446,
0.8034815788269043,
0.8117592334747314,
0.760191798210144,
0.7696315050125122,
0.7861558198928833,
0.7992236018180847,
0.7610347867012024,
0.8128415942192078,
0.7844103574752808,
0.7708236575126648,
0.7987518906593323,
0.7937610149383545,
0.8158608675003052,
0.7877650856971741,
0.8329993486404419,
0.8230078220367432,
0.7980566024780273,
0.8174894452095032,
0.8028767108917236
] | [
0.8675563335418701,
0.92808598279953,
0.8072712421417236,
0.8869466781616211,
0.8872910737991333,
0.7409857511520386,
0.7986056804656982,
0.7891428470611572,
0.8051118850708008,
0.8116828203201294,
0.7570580244064331,
0.8130194544792175,
0.7998541593551636,
0.7625976800918579,
0.7547954320907593,
0.7804762721061707,
0.7933573722839355,
0.7687278985977173,
0.7953459024429321,
0.7707878947257996,
0.7462810277938843,
0.77757728099823,
0.7803595066070557,
0.8015451431274414,
0.7669587135314941,
0.8258129954338074,
0.8244543671607971,
0.7772002816200256,
0.8067317008972168,
0.7896780371665955
] | [
0.8006561994552612,
0.7922201156616211,
0.6435639262199402,
0.8413081169128418,
0.839239239692688,
0.36432862281799316,
0.557880163192749,
0.48639577627182007,
0.6161446571350098,
0.625051736831665,
0.3750172257423401,
0.5843558311462402,
0.6177635192871094,
0.3949114978313446,
0.42689311504364014,
0.40126264095306396,
0.5729111433029175,
0.5101947784423828,
0.4835686981678009,
0.48047730326652527,
0.4018344581127167,
0.541976809501648,
0.4388704001903534,
0.49521902203559875,
0.5033367872238159,
0.6183921098709106,
0.5625938177108765,
0.4701884388923645,
0.6527141332626343,
0.535697340965271
] | [
0.757638156414032,
0.7110862731933594,
0.4859462380409241,
0.8142852187156677,
0.7937782406806946,
0.24189260601997375,
0.389571875333786,
0.32204481959342957,
0.4564037024974823,
0.5260372161865234,
0.19973421096801758,
0.44724205136299133,
0.49488094449043274,
0.2188873589038849,
0.24005316197872162,
0.23005126416683197,
0.4406580924987793,
0.3581843376159668,
0.3329389691352844,
0.3345791697502136,
0.2522222101688385,
0.38189971446990967,
0.24945920705795288,
0.3258894979953766,
0.33736589550971985,
0.49017390608787537,
0.42164844274520874,
0.30272650718688965,
0.4995266795158386,
0.39797407388687134
] | [
0.7940319776535034,
0.7949468493461609,
0.6446043252944946,
0.8378903865814209,
0.8310027122497559,
0.3744509220123291,
0.5688455104827881,
0.5116003751754761,
0.6287949681282043,
0.6326615810394287,
0.3921767473220825,
0.5916396379470825,
0.6209288835525513,
0.42379599809646606,
0.44960975646972656,
0.4348280429840088,
0.5833079814910889,
0.5189046263694763,
0.5070034861564636,
0.5138483047485352,
0.424024760723114,
0.5505179762840271,
0.4724871814250946,
0.5247029662132263,
0.5222590565681458,
0.6349221467971802,
0.5693222284317017,
0.5016121864318848,
0.6452251672744751,
0.552195131778717
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Firefly Algorithm, Lévy Flights and Global Optimization | [
"Firefly Algorithm: Recent Advances and Applications",
"A comprehensive review of firefly algorithms",
"Firefly algorithm with neighborhood attraction",
"Firefly Algorithm for Continuous Constrained Optimization Tasks",
"A hybrid Fuzzy Logic Controller-Firefly Algorithm (FLC-FA) based for MPPT Photovoltaic (PV) system in solar car",
"A Single-Item Inventory Model for a Nonstationary Demand Process",
"Thinking across Cultures : Implications for Dual Processes",
"Understanding agile project management methods using Scrum",
"The Ring of Gyges: Investigating the Future of Criminal Smart Contracts",
"Cluster labelling using chi-square-based keyword ranking and mutual information score: a hybrid approach",
"Measuring Team Knowledge",
"Surreptitiously Weakening Cryptographic Systems",
"Critical and Creative Thinking",
"Semantic Dependency Parsing via Book Embedding",
"Optimizing Semantic Coherence in Topic Models",
"Research Commentary - Platform Evolution: Coevolution of Platform Architecture, Governance, and Environmental Dynamics",
"The relationship among receptive and expressive vocabulary, listening comprehension, pre-reading skills, word identification skills, and reading comprehension by children with reading disabilities.",
"THE FLUID MECHANICS OF NATURAL VENTILATION",
"Bioactive dental restorative materials: a review.",
"Automated News Generation for TV Program Ratings",
"Linear Regression for Face Recognition",
"Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning",
"Crowdsourced bug triaging",
"Ketogenic Diet for Obesity: Friend or Foe?",
"Coverage and Capacity Analysis of LTE-M and NB-IoT in a Rural Area",
"On deep learning-based channel decoding",
"A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses",
"Evaluating effectiveness of shallow and deep networks to intrusion detection system",
"WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks",
"Match performance of high-standard soccer players with special reference to development of fatigue."
] | [
0.9208187460899353,
0.9183603525161743,
0.8987035155296326,
0.9145352840423584,
0.8574144840240479,
0.7978607416152954,
0.8001389503479004,
0.7921417951583862,
0.820157527923584,
0.8014965057373047,
0.807898759841919,
0.8267862200737,
0.7942958474159241,
0.7882201671600342,
0.8206310272216797,
0.816353440284729,
0.7639399766921997,
0.8178709745407104,
0.7605304718017578,
0.8040647506713867,
0.803532063961029,
0.8146700859069824,
0.8211079835891724,
0.795339822769165,
0.7922039031982422,
0.8231245279312134,
0.7943806648254395,
0.8016989231109619,
0.8228873610496521,
0.7840750813484192
] | [
0.8884586095809937,
0.9088190197944641,
0.8944471478462219,
0.8990985155105591,
0.849488377571106,
0.7706207633018494,
0.7791211605072021,
0.7961414456367493,
0.8038917779922485,
0.7805213928222656,
0.7946768403053284,
0.8069054484367371,
0.8060032725334167,
0.7685412168502808,
0.7856261730194092,
0.8087124824523926,
0.772095799446106,
0.7956604957580566,
0.7413650155067444,
0.7751901149749756,
0.7904777526855469,
0.7982372045516968,
0.8079433441162109,
0.785616397857666,
0.7694568634033203,
0.792762041091919,
0.7783982157707214,
0.7588005065917969,
0.783253014087677,
0.7691134214401245
] | [
0.9017660617828369,
0.9105597734451294,
0.9090027809143066,
0.8821661472320557,
0.845478892326355,
0.7642301321029663,
0.7777487635612488,
0.794553279876709,
0.8028237819671631,
0.7610647082328796,
0.7715029716491699,
0.825941801071167,
0.7819065451622009,
0.7600282430648804,
0.7693624496459961,
0.7941030263900757,
0.7685844302177429,
0.7968286275863647,
0.7555359601974487,
0.7745238542556763,
0.8007822632789612,
0.7938677072525024,
0.8213382959365845,
0.7880910634994507,
0.7815324664115906,
0.8013781905174255,
0.7833765745162964,
0.7847692966461182,
0.8070101141929626,
0.7738996148109436
] | [
0.8971223831176758,
0.8894073963165283,
0.8957484364509583,
0.8783522844314575,
0.6908687353134155,
0.5317901372909546,
0.4179227650165558,
0.48776504397392273,
0.484110951423645,
0.5089070796966553,
0.46068188548088074,
0.46877720952033997,
0.45265865325927734,
0.4695013165473938,
0.48069310188293457,
0.5469857454299927,
0.30497175455093384,
0.46847209334373474,
0.387480765581131,
0.5245530605316162,
0.5394129753112793,
0.5092560052871704,
0.5140024423599243,
0.40233489871025085,
0.4749675989151001,
0.5389389395713806,
0.44651782512664795,
0.503867506980896,
0.5220481157302856,
0.39102670550346375
] | [
0.8544220924377441,
0.8518490195274353,
0.850387454032898,
0.830081582069397,
0.6183827519416809,
0.3952544331550598,
0.27438777685165405,
0.36333394050598145,
0.3352101445198059,
0.3821469843387604,
0.3243635296821594,
0.3189172148704529,
0.3354024887084961,
0.3369739353656769,
0.33223408460617065,
0.4080687165260315,
0.15834766626358032,
0.3510017991065979,
0.22185754776000977,
0.37994349002838135,
0.413878858089447,
0.3725127577781677,
0.3835497498512268,
0.26236826181411743,
0.34518980979919434,
0.3909432291984558,
0.3201637268066406,
0.38104069232940674,
0.3891124427318573,
0.24426725506782532
] | [
0.890491783618927,
0.8847813606262207,
0.8875859975814819,
0.8711649179458618,
0.7069612741470337,
0.5597593784332275,
0.4609708786010742,
0.5140453577041626,
0.5148431658744812,
0.5365865230560303,
0.5001702308654785,
0.524605393409729,
0.48739075660705566,
0.5035085082054138,
0.5122789144515991,
0.5681378841400146,
0.3311499059200287,
0.5125621557235718,
0.4151490032672882,
0.5510988235473633,
0.5671365857124329,
0.5413899421691895,
0.5466338992118835,
0.4318908452987671,
0.5126854181289673,
0.5594828128814697,
0.48321399092674255,
0.5312154293060303,
0.5433720350265503,
0.43277251720428467
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Is Second-Order Information Helpful for Large-Scale Visual Recognition? | [
"Hierarchical Gaussian Descriptors with Application to Person Re-Identification",
"G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition",
"Generalized BackPropagation, Étude De Cas: Orthogonality",
"A Riemannian Network for SPD Matrix Learning",
"Second-order Convolutional Neural Networks",
"Automated Static Analysis of Unit Test Code",
"The Evolution of the Web and Implications for an Incremental Crawler",
"Vehicle Routing Problems for Drone Delivery",
"PHYSICAL ACTIVITY AND SPORT PREFERENCES OF 10 TO 14-YEAR-OLD CHILDREN : A 5-YEAR PROSPECTIVE STUDY",
"Rejection sensitivity and the rejection-hostility link in romantic relationships.",
"Big Data-Driven Marketing: How Machine Learning Outperforms Marketers' Gut-Feeling",
"Chapter 4. High Frequency Llc Resonant Converter 4.1 Introduction Figure 4-1. 1200w F Ront-end Ac/ Dc Converter",
"A Metrics Suite for Object Oriented Design",
"Blockchain Without Waste : Proof-of-Stake ∗",
"Recent Advances in Treatment of Coronary Artery Disease: Role of Science and Technology",
"Loss Aversion in Riskless Choice : A Reference-Dependent Model",
"Planar square quadrifilar spiral antenna for mobile RFID reader",
"Measuring the Intrinsic Dimension of Objective Landscapes",
"Deep bilateral learning for real-time image enhancement",
"Improving Language Modeling using Densely Connected Recurrent Neural Networks",
"Using Tectogrammatical Annotation for Studying Actors and Actions in Sallust's Bellum Catilinae",
"Substrate integrated waveguide and its applications to leaky wave antennas",
"Wildest Faces: Face Detection and Recognition in Violent Settings",
"Incentives for Tax Planning and Avoidance : Evidence from the Field Citation",
"11.4 A 512Gb 3b/cell 64-stacked WL 3D V-NAND flash memory",
"An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks",
"Review on Bovine Babesiosis and its Economical Importance",
"Deep Learning for Identifying Metastatic Breast Cancer",
"IMU-Based Gait Recognition Using Convolutional Neural Networks and Multi-Sensor Fusion"
] | [
0.8449847102165222,
0.8576223850250244,
0.8145751357078552,
0.8072394132614136,
0.8938837051391602,
0.7777420878410339,
0.8107607364654541,
0.8007235527038574,
0.7989184856414795,
0.7970528602600098,
0.8364865779876709,
0.763027012348175,
0.8249199390411377,
0.8052425384521484,
0.8094939589500427,
0.8123462200164795,
0.7906537055969238,
0.8174604177474976,
0.8425759673118591,
0.8230987787246704,
0.8149542808532715,
0.7851841449737549,
0.8332262635231018,
0.797943115234375,
0.7935015559196472,
0.8067828416824341,
0.8079568147659302,
0.8368047475814819,
0.8342679738998413
] | [
0.8043440580368042,
0.8058896064758301,
0.8150988817214966,
0.7904900312423706,
0.8695416450500488,
0.7813141345977783,
0.8027083873748779,
0.7791032791137695,
0.755888819694519,
0.7830917239189148,
0.8099328279495239,
0.7461619973182678,
0.7958400249481201,
0.7785012722015381,
0.7650317549705505,
0.7795932292938232,
0.7648980617523193,
0.7954756617546082,
0.8238973021507263,
0.7900680303573608,
0.7849488258361816,
0.7490829229354858,
0.8049702048301697,
0.7694608569145203,
0.7819552421569824,
0.7800893783569336,
0.769511878490448,
0.8015283346176147,
0.7983757257461548
] | [
0.8135178089141846,
0.8196635246276855,
0.8027321100234985,
0.7823297381401062,
0.8550163507461548,
0.7616870403289795,
0.7991505265235901,
0.7706927061080933,
0.7322548627853394,
0.7728216648101807,
0.805172860622406,
0.7600671052932739,
0.7976939082145691,
0.7780011892318726,
0.7694826126098633,
0.7683369517326355,
0.7610522508621216,
0.7651728391647339,
0.8102867007255554,
0.7834405899047852,
0.7597105503082275,
0.7446776628494263,
0.7989293932914734,
0.7586569786071777,
0.7777923345565796,
0.7853867411613464,
0.7637243270874023,
0.8121473789215088,
0.7941797971725464
] | [
0.6864921450614929,
0.7093954086303711,
0.6500841975212097,
0.6499517560005188,
0.8512791395187378,
0.4108913540840149,
0.5600793957710266,
0.45950210094451904,
0.41080066561698914,
0.41638246178627014,
0.5813350677490234,
0.2948056161403656,
0.5077751278877258,
0.4660504460334778,
0.4244729280471802,
0.4991428256034851,
0.4028799533843994,
0.6498493552207947,
0.608883261680603,
0.5664030313491821,
0.5955051183700562,
0.2949976325035095,
0.6932122707366943,
0.4589020609855652,
0.3817822337150574,
0.5858416557312012,
0.3145832419395447,
0.5813449621200562,
0.598807692527771
] | [
0.6122421026229858,
0.6313095092773438,
0.5362392067909241,
0.537230908870697,
0.7901667356491089,
0.25055891275405884,
0.41049396991729736,
0.30631232261657715,
0.24167343974113464,
0.2533622980117798,
0.4474438428878784,
0.2046724557876587,
0.3617403507232666,
0.2933066785335541,
0.254128634929657,
0.3639521598815918,
0.276353657245636,
0.5321199893951416,
0.520309567451477,
0.4421466588973999,
0.445174902677536,
0.14903278648853302,
0.5874496698379517,
0.29717007279396057,
0.2840115427970886,
0.4668567478656769,
0.17863541841506958,
0.48276981711387634,
0.4840479791164398
] | [
0.6986779570579529,
0.7144790887832642,
0.6631237268447876,
0.6644240021705627,
0.8610936403274536,
0.4633246660232544,
0.5921684503555298,
0.4918023347854614,
0.43450623750686646,
0.4520080089569092,
0.5851267576217651,
0.30328869819641113,
0.5428633093833923,
0.4990212917327881,
0.4420667588710785,
0.5271891355514526,
0.4286482334136963,
0.6608297824859619,
0.6264514923095703,
0.5883952975273132,
0.6105959415435791,
0.3302460312843323,
0.7006003260612488,
0.49130260944366455,
0.42857128381729126,
0.5989629626274109,
0.3539152443408966,
0.5905715227127075,
0.6092079877853394
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Time is on my side: Steganography in filesystem metadata | [
"Wavelet Transform Based Steganography Technique to Hide Audio Signals in Image",
"Natural Steganography: cover-source switching for better steganography",
"Yedroudj-Net: An Efficient CNN for Spatial Steganalysis",
"Audio Steganography to Protect the Confidential Information: A Survey",
"Enhancing Mobile Cloud Computing Security Using Steganography",
"Content-based book recommending using learning for text categorization",
"Practical Byzantine Group Communication",
"Clinical Periodontal Response to Anterior All-Ceramic Crowns with Either Chamfer or Feather-edge Subgingival Tooth Preparations: Six-Month Results and Patient Perception.",
"Quantum generative adversarial networks",
"Refining the relationship between personality and subjective well-being.",
"Modelling of Metal Oxide Surge Arresters in Simulation Software DYNAST",
"Airwriting: Hands-Free Mobile Text Input by Spotting and Continuous Recognition of 3d-Space Handwriting with Inertial Sensors",
"WHO WILL LEAD AND WHO WILL FOLLOW ? A SOCIAL PROCESS OF LEADERSHIP IDENTITY CONSTRUCTION IN ORGANIZATIONS",
"Lexico-syntactic text simplification and compression with typed dependencies",
"Microbial fuel cells--challenges and applications.",
"How to Make Causal Inferences Using Texts",
"Leveraging mid-level deep representations for predicting face attributes in the wild",
"User Activity Recognition in Smart Homes Using Pattern Clustering Applied to Temporal ANN Algorithm",
"Sympathy, empathy, and compassion: A grounded theory study of palliative care patients’ understandings, experiences, and preferences",
"Effect of Growth Mindset on School Engagement and Psychological Well-Being of Chinese Primary and Middle School Students: The Mediating Role of Resilience",
"Trajectories and Maneuvers of Surrounding Vehicles With Panoramic Camera Arrays",
"Mining idioms from source code",
"Accelerated aging: prediction of chemical stability of pharmaceuticals.",
"Consanguinity and its relevance to clinical genetics",
"An alignment-based framework to check the conformance of declarative process models and to preprocess event-log data",
"A deep bidirectional LSTM approach for video-realistic talking head",
"HIV-AIDS, is not a Viral Disease; It is a Metabolic Syndrome",
"A novel channel pruning method for deep neural network compression",
"Conceptual framework for personal recovery in mental health: systematic review and narrative synthesis."
] | [
0.8691601753234863,
0.8969066143035889,
0.8506573438644409,
0.8834179639816284,
0.8808785676956177,
0.8217372298240662,
0.7931821346282959,
0.7808833718299866,
0.7957541346549988,
0.7952620983123779,
0.8112536072731018,
0.8195517659187317,
0.7928491830825806,
0.8352692127227783,
0.814048171043396,
0.8018001914024353,
0.8341742753982544,
0.8257665038108826,
0.7857570648193359,
0.7762677073478699,
0.810261070728302,
0.8330515623092651,
0.8345979452133179,
0.814048707485199,
0.8161678314208984,
0.8039724826812744,
0.83319091796875,
0.795551061630249,
0.8215552568435669
] | [
0.8496929407119751,
0.872022271156311,
0.8294588923454285,
0.86566561460495,
0.860014021396637,
0.7706787586212158,
0.7647256851196289,
0.7749871611595154,
0.7968930602073669,
0.7822418808937073,
0.7865139842033386,
0.7953751087188721,
0.7676736116409302,
0.8066241145133972,
0.7795435190200806,
0.7848531007766724,
0.7998989820480347,
0.795720100402832,
0.7807981371879578,
0.7579572796821594,
0.7849813103675842,
0.8126411437988281,
0.8076508045196533,
0.7954643964767456,
0.8002569675445557,
0.7776581048965454,
0.8104960322380066,
0.787778913974762,
0.795569896697998
] | [
0.8248915672302246,
0.8588514924049377,
0.8342670202255249,
0.859698474407196,
0.83942711353302,
0.7593759298324585,
0.7740913033485413,
0.7518116235733032,
0.7775065898895264,
0.7570047378540039,
0.7712576389312744,
0.7916402220726013,
0.7542431354522705,
0.778176486492157,
0.748151421546936,
0.7751600742340088,
0.7701566815376282,
0.7653098106384277,
0.7554211616516113,
0.7297596335411072,
0.7674081325531006,
0.808802604675293,
0.799495279788971,
0.7758207321166992,
0.7810593843460083,
0.7561670541763306,
0.7783879637718201,
0.7512146234512329,
0.7689023017883301
] | [
0.7236242294311523,
0.7667853832244873,
0.6618763208389282,
0.7115476131439209,
0.7211771011352539,
0.440084844827652,
0.5560048818588257,
0.3514794707298279,
0.4288269281387329,
0.390829473733902,
0.3749442398548126,
0.48275870084762573,
0.3916056156158447,
0.5290721654891968,
0.34268009662628174,
0.42481279373168945,
0.4353315532207489,
0.43216830492019653,
0.37677258253097534,
0.34542304277420044,
0.3681386113166809,
0.5335999727249146,
0.4115464985370636,
0.3827616572380066,
0.4745936989784241,
0.39338821172714233,
0.30518531799316406,
0.4720149636268616,
0.3901740312576294
] | [
0.6669608950614929,
0.7218547463417053,
0.5586947202682495,
0.6646825075149536,
0.6692192554473877,
0.2821178734302521,
0.44214001297950745,
0.22196465730667114,
0.30537766218185425,
0.22909843921661377,
0.26031264662742615,
0.3216541111469269,
0.24774883687496185,
0.40110132098197937,
0.16079062223434448,
0.292074978351593,
0.2941012382507324,
0.276825487613678,
0.22458530962467194,
0.21907973289489746,
0.23241709172725677,
0.3959352374076843,
0.268330454826355,
0.23402974009513855,
0.34136611223220825,
0.2506599724292755,
0.22271336615085602,
0.3547322750091553,
0.2477894276380539
] | [
0.730485200881958,
0.7747963666915894,
0.6838198900222778,
0.7190740704536438,
0.7298156023025513,
0.48036786913871765,
0.5952321290969849,
0.3913109302520752,
0.4677225351333618,
0.43689870834350586,
0.4168751537799835,
0.508757472038269,
0.4319857358932495,
0.5655366778373718,
0.3878711462020874,
0.47207343578338623,
0.4722960591316223,
0.4716830849647522,
0.42253658175468445,
0.378412127494812,
0.42606663703918457,
0.5770778656005859,
0.44977867603302,
0.4346696138381958,
0.5140836238861084,
0.43021395802497864,
0.34184491634368896,
0.49996456503868103,
0.4242640435695648
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Deep Reinforcement Learning for Dialogue Generation | [
"Are You Asking the Right Questions? Teaching Machines to Ask Clarification Questions",
"Recurrent Network Models of Sequence Generation and Memory",
"Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning",
"A Manually Annotated Chinese Corpus for Non-task-oriented Dialogue Systems",
"Augmenting End-to-End Dialogue Systems With Commonsense Knowledge",
"Music therapy for people with schizophrenia and schizophrenia-like disorders.",
"Training convolutional neural networks with megapixel images",
"Label Propagation via Teaching-to-Learn and Learning-to-Teach",
"Unsupervised Models for Named Entity Classification",
"Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification",
"Deep reverse tone mapping",
"Symmetric Algorithm Survey: A Comparative Analysis",
"Status epilepticus: pathophysiology and management in adults",
"Standby and Active Leakage Current Control and Minimization in CMOS VLSI Circuits",
"Gaining insights from social media language: Methodologies and challenges.",
"Minimum-Threshold Crowbar for a Fault-Ride-Through Grid-Code-Compliant DFIG Wind Turbine",
"Identifying Meaningful Citations",
"The Psychophysics Toolbox.",
"Managing Bad News in Social Media: A Case Study on Domino's Pizza Crisis",
"Adolescent resilience: a framework for understanding healthy development in the face of risk.",
"Understanding the Role and Methods of Meta-Analysis in IS Research",
"Big-Data Architecture for Cyber Attack Graphs Representing Security Relationships in NoSQL Graph Databases",
"Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL?",
"Learning to Segment Object Candidates",
"Deep Textured 3D Reconstruction of Human Bodies",
"Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference",
"Decision Tree and Naïve Bayes Algorithm for Classification and Generation of Actionable Knowledge for Direct Marketing",
"TweetLID: a benchmark for tweet language identification",
"Feature Subset Selection Using a Genetic Algorithm",
"Understanding Convolutional Neural Networks for Text Classification"
] | [
0.822779655456543,
0.8550950884819031,
0.9410946369171143,
0.8546136021614075,
0.8736964464187622,
0.7752858400344849,
0.8530718684196472,
0.8412297964096069,
0.8277044296264648,
0.832017183303833,
0.8532403707504272,
0.8034710884094238,
0.7655463814735413,
0.7781571745872498,
0.836799144744873,
0.813907265663147,
0.8216030597686768,
0.8139646053314209,
0.8145565986633301,
0.8124174475669861,
0.7895549535751343,
0.8022836446762085,
0.8483315706253052,
0.860466718673706,
0.8542881011962891,
0.8430263996124268,
0.8482586741447449,
0.8305840492248535,
0.8116575479507446,
0.8708660006523132
] | [
0.8217160105705261,
0.850265622138977,
0.8922673463821411,
0.8243478536605835,
0.846396803855896,
0.7553161978721619,
0.8277820944786072,
0.8087475299835205,
0.802117109298706,
0.8133900761604309,
0.8245313167572021,
0.7689552307128906,
0.7689241170883179,
0.7549210786819458,
0.8048666715621948,
0.7668811082839966,
0.7848427295684814,
0.7890971899032593,
0.7926471829414368,
0.7704958915710449,
0.7731142044067383,
0.7674869298934937,
0.8010199069976807,
0.8397830724716187,
0.8236532211303711,
0.8107957243919373,
0.8036508560180664,
0.8122764825820923,
0.782706618309021,
0.8228411078453064
] | [
0.8308371305465698,
0.8302332162857056,
0.9025002717971802,
0.8201477527618408,
0.8522376418113708,
0.7758321762084961,
0.7785588502883911,
0.7910062074661255,
0.7954788208007812,
0.8124027848243713,
0.8118427395820618,
0.7564612627029419,
0.7586328387260437,
0.743776261806488,
0.8038585186004639,
0.7471495866775513,
0.7662109732627869,
0.7884600162506104,
0.7787336111068726,
0.7594139575958252,
0.750391960144043,
0.7596364617347717,
0.8016237020492554,
0.7922747731208801,
0.8127377033233643,
0.7797108888626099,
0.7978802919387817,
0.7779535055160522,
0.7482176423072815,
0.8095099925994873
] | [
0.6660056710243225,
0.6735787987709045,
0.8951058387756348,
0.7099718451499939,
0.7710233926773071,
0.3818669021129608,
0.5326824188232422,
0.5743564367294312,
0.5046485066413879,
0.6012783050537109,
0.5645899772644043,
0.4007350504398346,
0.35113221406936646,
0.3218477964401245,
0.4885375499725342,
0.35393252968788147,
0.3963293135166168,
0.5050963163375854,
0.4290015399456024,
0.3940270245075226,
0.3642210364341736,
0.37870264053344727,
0.6374576091766357,
0.5360504388809204,
0.5399337410926819,
0.5253874063491821,
0.45108523964881897,
0.48952701687812805,
0.4629640579223633,
0.5741876363754272
] | [
0.5662263631820679,
0.6004366874694824,
0.8768684267997742,
0.6492912173271179,
0.694918692111969,
0.22487002611160278,
0.393649160861969,
0.43550944328308105,
0.3524934649467468,
0.49452081322669983,
0.4320000112056732,
0.24150702357292175,
0.22124513983726501,
0.19891606271266937,
0.2943006753921509,
0.230009064078331,
0.23607061803340912,
0.36717772483825684,
0.2513267695903778,
0.26941928267478943,
0.20309960842132568,
0.23899301886558533,
0.528518557548523,
0.38398051261901855,
0.380817174911499,
0.39341863989830017,
0.2975810766220093,
0.35236042737960815,
0.3173588514328003,
0.469650536775589
] | [
0.6691389083862305,
0.6847929358482361,
0.888524055480957,
0.7182561755180359,
0.7662131786346436,
0.40893223881721497,
0.5635903477668762,
0.5971976518630981,
0.5248210430145264,
0.6106923222541809,
0.5981152057647705,
0.4420064389705658,
0.3718586266040802,
0.3529333174228668,
0.5025254487991333,
0.3917720317840576,
0.433895468711853,
0.5375652313232422,
0.4470318555831909,
0.41490811109542847,
0.3926934003829956,
0.41643083095550537,
0.6546218395233154,
0.5674420595169067,
0.5633167028427124,
0.543526291847229,
0.47793400287628174,
0.5064936876296997,
0.4902134835720062,
0.5971970558166504
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Evaluating Human Cognition of Containing Relations with Physical Simulation | [
"Physics-based trajectory optimization for grasping in cluttered environments",
"Simulation as an engine of physical scene understanding.",
"ConvNets and ImageNet Beyond Accuracy: Explanations, Bias Detection, Adversarial Examples and Model Criticism",
"Convergent Tree-Backup and Retrace with Function Approximation",
"\"What happens if...\" Learning to Predict the Effect of Forces in Images",
"Feature extraction methods for character recognition-A survey",
"Faster Neural Network Training with Approximate Tensor Operations",
"Deep Generative Stochastic Networks Trainable by Backprop",
"An Evaluation of Factors Affecting Brand Awareness in the Context of Social Media in Malaysia",
"Automatic 3D Indoor Scene Modeling from Single Panorama",
"DUORC: TOWARDS COMPLEX LANGUAGE UNDER-",
"Pilot Clinical Study on a Proprietary Elderberry Extract : Efficacy in Addressing Influenza Symptoms",
"Combined vitamin C and E supplementation during pregnancy for preeclampsia prevention: a systematic review.",
"Semantic annotation of soccer videos: automatic highlights identification",
"Applications of Ontologies and Problem-Solving Methods",
"A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion",
"DRA with rat-race hybrid fed phemt differential lna for x-band receiver front-end application",
"Social media analytics: a survey of techniques, tools and platforms",
"MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild",
"Plant Phenolics: Extraction, Analysis and Their Antioxidant and Anticancer Properties",
"Security Analysis of Vehicular Ad Hoc Networks (VANETs): A Comprehensive Study",
"Discovering Event Evolution Chain in Microblog",
"Big Data: The NoSQL and RDBMS review",
"DevOps - A Software Architect's Perspective",
"The Málaga urban dataset: High-rate stereo and LiDAR in a realistic urban scenario",
"DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning",
"Joint Copying and Restricted Generation for Paraphrase",
"From Facial Parts Responses to Face Detection: A Deep Learning Approach",
"Identification and control of dynamic systems using recurrent fuzzy neural networks",
"Representing Meaning with a Combination of Logical Form and Vectors"
] | [
0.8468431830406189,
0.9066629409790039,
0.8266082406044006,
0.8054927587509155,
0.8510336875915527,
0.8047854900360107,
0.8172290921211243,
0.8103280067443848,
0.8292942047119141,
0.7981839179992676,
0.8207425475120544,
0.8109338283538818,
0.7973827123641968,
0.8132697343826294,
0.8184975385665894,
0.8277477025985718,
0.7796564698219299,
0.8223987817764282,
0.8110764622688293,
0.7954987287521362,
0.8119637966156006,
0.8407800197601318,
0.8176600933074951,
0.8097695112228394,
0.8182893991470337,
0.7961174845695496,
0.8037118911743164,
0.8352617025375366,
0.8163437843322754,
0.8488634824752808
] | [
0.8050603866577148,
0.8563308119773865,
0.8035300970077515,
0.7819863557815552,
0.8316478729248047,
0.7900711297988892,
0.8169739842414856,
0.7830674648284912,
0.8066680431365967,
0.7921948432922363,
0.7885136604309082,
0.789177417755127,
0.7645540237426758,
0.788932204246521,
0.8201144933700562,
0.8111122846603394,
0.7720409631729126,
0.786409318447113,
0.7752223610877991,
0.7832123041152954,
0.8063783645629883,
0.803543746471405,
0.8019033074378967,
0.7787903547286987,
0.7837505340576172,
0.7789564728736877,
0.7923016548156738,
0.8110047578811646,
0.8019307851791382,
0.8421043157577515
] | [
0.7898445129394531,
0.8564711809158325,
0.7958478331565857,
0.766697883605957,
0.8266005516052246,
0.7619500160217285,
0.7773028612136841,
0.7665397524833679,
0.7632685899734497,
0.7658128142356873,
0.7905329465866089,
0.7692509889602661,
0.7795072197914124,
0.7804690599441528,
0.7921842336654663,
0.778117299079895,
0.7407225370407104,
0.7703346014022827,
0.7588570713996887,
0.7507091164588928,
0.7477231025695801,
0.7939555048942566,
0.7807151079177856,
0.7519925832748413,
0.7645318508148193,
0.7718098163604736,
0.7761709690093994,
0.7685249447822571,
0.7570311427116394,
0.8200176954269409
] | [
0.6081188917160034,
0.8141559958457947,
0.49531516432762146,
0.4835701882839203,
0.609084963798523,
0.430630624294281,
0.5015150308609009,
0.49964603781700134,
0.48350781202316284,
0.4979550242424011,
0.522757887840271,
0.37529879808425903,
0.35446688532829285,
0.4693126678466797,
0.6153466701507568,
0.4624377191066742,
0.29999083280563354,
0.4448539614677429,
0.4323394298553467,
0.3552854657173157,
0.3750078082084656,
0.4762668311595917,
0.4990518391132355,
0.48515585064888,
0.4736472964286804,
0.4609302580356598,
0.49952828884124756,
0.466071218252182,
0.47397446632385254,
0.6164661645889282
] | [
0.518211841583252,
0.7588648796081543,
0.3795430660247803,
0.36951279640197754,
0.5052142143249512,
0.2981230318546295,
0.38245508074760437,
0.362684965133667,
0.3156607151031494,
0.3865838050842285,
0.42688730359077454,
0.22867777943611145,
0.18168388307094574,
0.3352240324020386,
0.49711689352989197,
0.3182763457298279,
0.1767250895500183,
0.24387100338935852,
0.32602763175964355,
0.17915867269039154,
0.19014829397201538,
0.30872637033462524,
0.3285011649131775,
0.2925824522972107,
0.3529563844203949,
0.32713475823402405,
0.40079551935195923,
0.3528924584388733,
0.3356780409812927,
0.5363290309906006
] | [
0.6252322196960449,
0.81060791015625,
0.523842453956604,
0.523084282875061,
0.6207872629165649,
0.46694451570510864,
0.5333337187767029,
0.5258022546768188,
0.5028529763221741,
0.5297318696975708,
0.5506261587142944,
0.41808098554611206,
0.37432679533958435,
0.5007781982421875,
0.6309301853179932,
0.4902423322200775,
0.348970890045166,
0.4725586175918579,
0.4517933130264282,
0.38659778237342834,
0.3974114656448364,
0.5062412619590759,
0.5222005248069763,
0.5034041404724121,
0.5090415477752686,
0.4969260096549988,
0.5427534580230713,
0.5010710954666138,
0.5004331469535828,
0.629635214805603
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Deep Learning for Stock Market Prediction Using Event Embedding and Technical Indicators | [
"A Numerical-Based Attention Method for Stock Market Prediction With Dual Information",
"New Avenues in Opinion Mining and Sentiment Analysis",
"Natural language based financial forecasting: a survey",
"Integrating StockTwits with sentiment analysis for better prediction of stock price movement",
"Hierarchical Complementary Attention Network for Predicting Stock Price Movements with News",
"Semantic Instance Segmentation via Deep Metric Learning",
"VinySLAM: An indoor SLAM method for low-cost platforms based on the Transferable Belief Model",
"A Delay-Locked Loop Synchronization Scheme for High-Frequency Multiphase Hysteretic DC-DC Converters",
"Cloudlets: at the leading edge of mobile-cloud convergence",
"BeatCoin : Leaking Private Keys from Air-Gapped",
"Exploiting Tri-Relationship for Fake News Detection",
"Gaining insights from social media language: Methodologies and challenges.",
"Flash memory cells-an overview",
"Security for Ubiquitous Computing",
"Cognitive, social, and physiological determinants of emotional state.",
"Generalized Sampling Expansions with Multiple Sampling Rates for Lowpass and Bandpass Signals in the Fractional Fourier Transform Domain",
"Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network",
"Searching for the structure of coping: a review and critique of category systems for classifying ways of coping.",
"A synchronized visual-inertial sensor system with FPGA pre-processing for accurate real-time SLAM",
"Virtual Network Computing",
"Integrating Object Affordances with Artificial Visual Attention",
"Using an online tool to support school-based ICT policy planning in primary education",
"Metaphor as a Medium for Emotion: An Empirical Study",
"The More Electric Aircraft: Technology and challenges.",
"Very deep convolutional neural networks for LVCSR",
"BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python",
"Differential Evolution - A Simple and Efficient Heuristic for global Optimization over Continuous Spaces",
"Patterns as Formulas : Patterns in the Digital Humanities",
"Multi-attention Recurrent Network for Human Communication Comprehension",
"Elderly activities recognition and classification for applications in assisted living"
] | [
0.8903917670249939,
0.8219655156135559,
0.8514021039009094,
0.8803901672363281,
0.8939989805221558,
0.8654276132583618,
0.8384555578231812,
0.7937167286872864,
0.8166943192481995,
0.8059511184692383,
0.8320009708404541,
0.8039769530296326,
0.7955100536346436,
0.8061637282371521,
0.7923397421836853,
0.8081260919570923,
0.8455419540405273,
0.7879989147186279,
0.8166930675506592,
0.7934526205062866,
0.8241530060768127,
0.7898988723754883,
0.7957712411880493,
0.7931089401245117,
0.8551763296127319,
0.8602672815322876,
0.8344602584838867,
0.7978031635284424,
0.8111473321914673,
0.8008484840393066
] | [
0.8446251749992371,
0.7930761575698853,
0.8382312059402466,
0.8650002479553223,
0.8529885411262512,
0.8311318159103394,
0.8033467531204224,
0.7426655292510986,
0.7832461595535278,
0.7686823606491089,
0.8056759238243103,
0.8049954771995544,
0.7751480340957642,
0.7793989181518555,
0.7798648476600647,
0.7865193486213684,
0.8032158613204956,
0.76894211769104,
0.7886609435081482,
0.7785578370094299,
0.7952032089233398,
0.771774411201477,
0.785690426826477,
0.7749956846237183,
0.8298689723014832,
0.8125814199447632,
0.7938710451126099,
0.7780249118804932,
0.814002275466919,
0.8004077076911926
] | [
0.8402767181396484,
0.7934790253639221,
0.8230458498001099,
0.8525049090385437,
0.846388041973114,
0.8091739416122437,
0.7945553064346313,
0.7296142578125,
0.768051028251648,
0.7631406784057617,
0.8091370463371277,
0.7934727668762207,
0.762885570526123,
0.7474297285079956,
0.7675052881240845,
0.7714905738830566,
0.7944625616073608,
0.7565703392028809,
0.7636348009109497,
0.7534301280975342,
0.7864038944244385,
0.7384128570556641,
0.7804397344589233,
0.7768751382827759,
0.8142562508583069,
0.8163992166519165,
0.800666093826294,
0.7669873237609863,
0.7935127019882202,
0.7683866024017334
] | [
0.7349022626876831,
0.5416952967643738,
0.7088437080383301,
0.7162903547286987,
0.7493389844894409,
0.5938135385513306,
0.46827322244644165,
0.33237576484680176,
0.47405001521110535,
0.40672409534454346,
0.5538700222969055,
0.5308622717857361,
0.3982282280921936,
0.37726545333862305,
0.45779597759246826,
0.41166239976882935,
0.5753529071807861,
0.4750014841556549,
0.4348006248474121,
0.42978787422180176,
0.5353959798812866,
0.3987293541431427,
0.4591771364212036,
0.3973391652107239,
0.607485294342041,
0.5856835246086121,
0.5131431818008423,
0.4882393479347229,
0.6277143955230713,
0.5392860174179077
] | [
0.6591117978096008,
0.38656410574913025,
0.625636100769043,
0.6293798685073853,
0.6781578660011292,
0.46435993909835815,
0.30346912145614624,
0.18847380578517914,
0.34339991211891174,
0.27776092290878296,
0.42670944333076477,
0.39509162306785583,
0.24317796528339386,
0.17206799983978271,
0.3116604685783386,
0.23264798521995544,
0.46793028712272644,
0.2912072539329529,
0.277732253074646,
0.294935941696167,
0.3822230100631714,
0.24356183409690857,
0.30746838450431824,
0.2433047592639923,
0.478593111038208,
0.47800540924072266,
0.3872331976890564,
0.32873645424842834,
0.4967612028121948,
0.3719993233680725
] | [
0.7393708229064941,
0.563299834728241,
0.7122100591659546,
0.7281573414802551,
0.7471603155136108,
0.6090626120567322,
0.48434802889823914,
0.37427613139152527,
0.495843768119812,
0.44571810960769653,
0.5729953646659851,
0.5478209853172302,
0.43614017963409424,
0.4001500606536865,
0.48633310198783875,
0.4406310021877289,
0.5821619033813477,
0.49004238843917847,
0.45152685046195984,
0.4717153310775757,
0.5446183681488037,
0.431732177734375,
0.4914824366569519,
0.44178909063339233,
0.624314546585083,
0.6051260232925415,
0.5369359254837036,
0.5070816278457642,
0.6256496906280518,
0.5472816228866577
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Progress & Compress: A scalable framework for continual learning | [
"Backplay: \"Man muss immer umkehren\"",
"Recall Traces: Backtracking Models for Efficient Reinforcement Learning",
"Multi-Agent Imitation Learning for Driving Simulation",
"An Empirical Exploration of Curriculum Learning for Neural Machine Translation",
"Regret Minimization for Partially Observable Deep Reinforcement Learning",
"From Adversarial Training to Generative Adversarial Networks",
"Effort estimation in agile software development: a systematic literature review",
"Eye In-painting with Exemplar Generative Adversarial Networks",
"Bridging Paxos and Blockchain Consensus",
"An empirical evaluation of models of text document similarity",
"Vision aided automatic landing system for fixed wing UAV",
"Genetic and environmental influences on sexual orientation and its correlates in an Australian twin sample.",
"Path integration and the neural basis of the 'cognitive map'",
"Stegobot: A Covert Social Network Botnet",
"Breaking boundaries: the uses & gratifications of grindr",
"Anthropometry in body composition. An overview.",
"Course notes",
"THE GOAL QUESTION METRIC APPROACH",
"Step-by-step guide to critiquing research. Part 2: Qualitative research.",
"Improving Semi-Supervised Learning with Auxiliary Deep Generative Models",
"The Agile Requirements Refinery: Applying SCRUM Principles to Software Product Management",
"A Comparative Study of Image Steganography Techniques",
"Children with anogenital symptoms and signs referred for sexual abuse evaluations.",
"Natural Language Processing: A Human-Computer Interaction Perspective",
"Young children's productivity with word order and verb morphology.",
"Industrial IoT security threats and concerns by considering Cisco and Microsoft IoT reference models",
"A palliative approach for heart failure end-of-life care",
"Information Extraction in Illicit Web Domains",
"Shadow Remover: Image Shadow Removal Based on Illumination Recovering Optimization"
] | [
0.759324848651886,
0.847398042678833,
0.8479103446006775,
0.8553431034088135,
0.840465784072876,
0.8297039270401001,
0.8267494440078735,
0.8100666403770447,
0.8339399695396423,
0.8162418603897095,
0.7935546636581421,
0.7826135158538818,
0.8266922831535339,
0.8374491333961487,
0.8140435814857483,
0.8197239637374878,
0.8125292062759399,
0.7994414567947388,
0.8074926733970642,
0.8487398624420166,
0.8368320465087891,
0.791252851486206,
0.7773021459579468,
0.8472740650177002,
0.8321535587310791,
0.8084968328475952,
0.8001322150230408,
0.7933083772659302,
0.810655951499939
] | [
0.7867806553840637,
0.8297591209411621,
0.794059157371521,
0.816635251045227,
0.8206024765968323,
0.7982577085494995,
0.7993485331535339,
0.7964938282966614,
0.8159981369972229,
0.7830162048339844,
0.7619470357894897,
0.7656713128089905,
0.8271827697753906,
0.7957847118377686,
0.8325307369232178,
0.8011916279792786,
0.8089483380317688,
0.8064199686050415,
0.795466423034668,
0.8116850852966309,
0.794035792350769,
0.7883625030517578,
0.760890007019043,
0.8203585147857666,
0.801374077796936,
0.7849205732345581,
0.804020881652832,
0.7850359082221985,
0.8125773668289185
] | [
0.7753143310546875,
0.825629472732544,
0.7919175624847412,
0.8062173128128052,
0.8040947318077087,
0.7967833876609802,
0.8025309443473816,
0.7937357425689697,
0.812947154045105,
0.7839069366455078,
0.7670475244522095,
0.7591050863265991,
0.7921053767204285,
0.8272547721862793,
0.8071223497390747,
0.7796984910964966,
0.8017573356628418,
0.7990413904190063,
0.7888150811195374,
0.808847188949585,
0.8205050230026245,
0.7590746879577637,
0.7716956734657288,
0.7912095785140991,
0.7917954921722412,
0.791976273059845,
0.784136176109314,
0.7699203491210938,
0.7961459755897522
] | [
0.4387066960334778,
0.7152119874954224,
0.5691356658935547,
0.6278060674667358,
0.6567928791046143,
0.6240910291671753,
0.5695730447769165,
0.5401809215545654,
0.49906206130981445,
0.5499914288520813,
0.4515681266784668,
0.3930746912956238,
0.5413674116134644,
0.4786355495452881,
0.4740557074546814,
0.41531670093536377,
0.5044269561767578,
0.599758505821228,
0.3945466876029968,
0.6205350160598755,
0.5075260400772095,
0.4712374210357666,
0.33792006969451904,
0.5528258085250854,
0.49821704626083374,
0.4134126305580139,
0.44629061222076416,
0.47418296337127686,
0.515640139579773
] | [
0.3206828832626343,
0.6140074729919434,
0.43342888355255127,
0.5194923877716064,
0.5462508797645569,
0.4811854362487793,
0.4289048910140991,
0.3976283669471741,
0.3523988723754883,
0.40049636363983154,
0.3003072738647461,
0.2262648195028305,
0.4064001441001892,
0.3245159387588501,
0.3205370604991913,
0.22724731266498566,
0.40516698360443115,
0.4720025062561035,
0.2847277522087097,
0.5296877026557922,
0.3573463559150696,
0.3010874390602112,
0.2294737547636032,
0.4006243348121643,
0.3957129120826721,
0.23855458199977875,
0.30335941910743713,
0.28025656938552856,
0.3783934712409973
] | [
0.47369223833084106,
0.7230830192565918,
0.598636269569397,
0.6480884552001953,
0.6663699150085449,
0.6459825038909912,
0.5761624574661255,
0.5651133060455322,
0.5244801044464111,
0.5718536376953125,
0.47014909982681274,
0.42057979106903076,
0.565542995929718,
0.502983808517456,
0.5118569135665894,
0.44337794184684753,
0.5149407982826233,
0.614647388458252,
0.4271952509880066,
0.6393659710884094,
0.5269675850868225,
0.49690255522727966,
0.36759570240974426,
0.5724408626556396,
0.5287987589836121,
0.4356052577495575,
0.46141237020492554,
0.5024245381355286,
0.5368648767471313
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
A Review on Business Intelligence and Big Data | [
"An overview of business intelligence technology",
"Business Intelligence Capabilities as Facilitators to Achieve Organizational Agility",
"Data-intensive applications, challenges, techniques and technologies: A survey on Big Data",
"A systematic literature review on features of deep learning in big data analytics",
"The Practical Use of BI Visualizations in Decision-making",
"The Price of a Smile : Hedging and Spanning in Option Markets",
"Macroeconomic Risk and Debt Overhang ∗",
"Novelty Detection via Topic Modeling in Research Articles",
"Socioeconomic differences in attitudes and beliefs about healthy lifestyles.",
"Dynamic Graph Convolutional Networks",
"Memory Bandwidth: The True Bottleneck of SIMD Multimedia Performance on a Superscalar Processor",
"Skip-Gram - Zipf + Uniform = Vector Additivity",
"Can you see the real me? A self-based model of authentic leader and follower development",
"A Statistical Model for Slurry Thickening",
"Composing graphical models with neural networks for structured representations and fast inference",
"Multifocal melanoma of the glans penis.",
"Comparing Relational and Ontological Triple Stores in Healthcare Domain",
"State of the art of Trust and Reputation Systems in E-Commerce Context",
"Reinforcement Learning Neural Turing Machines",
"You Are What You Eat: Exploring Rich Recipe Information for Cross-Region Food Analysis",
"Three Implementations of SquishQL, a Simple RDF Query Language",
"Absolute fingerprint pre-alignment in minutiae-based cryptosystems",
"Unsupervised Neural Categorization for Scientific Publications",
"Face Demorphing",
"T-Fuzz: Fuzzing by Program Transformation",
"Implementing Neural Turing Machines",
"Automatic question-answering using a deep similarity neural network",
"Protection motivation and deterrence: a framework for security policy compliance in organisations",
"A Bayesian Approach to Predict Performance of a Student (BAPPS): A Case with Ethiopian Students"
] | [
0.9231823682785034,
0.8696311712265015,
0.8940101861953735,
0.9037914872169495,
0.8779888153076172,
0.816694974899292,
0.8029240369796753,
0.8261319398880005,
0.815798819065094,
0.8251659870147705,
0.8063184022903442,
0.7926876544952393,
0.8207310438156128,
0.7952463626861572,
0.8258368372917175,
0.7663220167160034,
0.8295927047729492,
0.8531153202056885,
0.8125113844871521,
0.8357106447219849,
0.8261061310768127,
0.8162514567375183,
0.8063356280326843,
0.7829070687294006,
0.818541407585144,
0.814719557762146,
0.8203173875808716,
0.811356246471405,
0.8292693495750427
] | [
0.9041579365730286,
0.8374724388122559,
0.869769811630249,
0.8723105192184448,
0.8369268178939819,
0.7993994951248169,
0.7782365083694458,
0.7833064198493958,
0.7993918657302856,
0.814639687538147,
0.7866041660308838,
0.7950270175933838,
0.7952332496643066,
0.7922759056091309,
0.7999404072761536,
0.7947590947151184,
0.8033468723297119,
0.8289567828178406,
0.8161044716835022,
0.8017430305480957,
0.7969202995300293,
0.7751746773719788,
0.807992160320282,
0.795975923538208,
0.796513557434082,
0.8328311443328857,
0.7976844310760498,
0.7988910675048828,
0.7999825477600098
] | [
0.8906546831130981,
0.8319615125656128,
0.8580427169799805,
0.8528842926025391,
0.8269689083099365,
0.7757663130760193,
0.7589386701583862,
0.7712484002113342,
0.7770290374755859,
0.7670456171035767,
0.7650657296180725,
0.7635172009468079,
0.7678573131561279,
0.7658888101577759,
0.7958240509033203,
0.7660446763038635,
0.7899281978607178,
0.8045865297317505,
0.782589316368103,
0.7967026233673096,
0.8032305240631104,
0.7699301838874817,
0.7646079063415527,
0.7605239748954773,
0.7835245728492737,
0.778537392616272,
0.7981454133987427,
0.774724006652832,
0.7836240530014038
] | [
0.8619353771209717,
0.7412372827529907,
0.7943577766418457,
0.6813468337059021,
0.70746910572052,
0.4498235285282135,
0.42238783836364746,
0.5647313594818115,
0.415283739566803,
0.4742298722267151,
0.5001975893974304,
0.44423845410346985,
0.4520946741104126,
0.5018925666809082,
0.4880867302417755,
0.3112601637840271,
0.5974010229110718,
0.5867433547973633,
0.4110199809074402,
0.5465301275253296,
0.6032453179359436,
0.4453582763671875,
0.4989822506904602,
0.3916144371032715,
0.4939417839050293,
0.4511554539203644,
0.41818442940711975,
0.5110299587249756,
0.5274642705917358
] | [
0.8464243412017822,
0.7032313346862793,
0.7603787183761597,
0.6190630793571472,
0.6020607948303223,
0.28500550985336304,
0.28146249055862427,
0.4469664692878723,
0.2510082423686981,
0.33569052815437317,
0.34027716517448425,
0.3408200144767761,
0.28193652629852295,
0.35994499921798706,
0.35100057721138,
0.171173095703125,
0.4965061545372009,
0.41973745822906494,
0.2504347860813141,
0.41627663373947144,
0.48908287286758423,
0.3138459026813507,
0.369843989610672,
0.2563501000404358,
0.31778597831726074,
0.29591652750968933,
0.28813451528549194,
0.3427006006240845,
0.40783706307411194
] | [
0.8630265593528748,
0.7301725745201111,
0.7939858436584473,
0.7004690170288086,
0.7094641923904419,
0.487477570772171,
0.4600141644477844,
0.5827049016952515,
0.45316746830940247,
0.4954366683959961,
0.5369259119033813,
0.45358628034591675,
0.4837581515312195,
0.5265514850616455,
0.506327748298645,
0.3411794602870941,
0.5981970429420471,
0.6037276983261108,
0.4475969076156616,
0.5583350658416748,
0.616083025932312,
0.47873562574386597,
0.5158035159111023,
0.4249995946884155,
0.522926390171051,
0.4878982901573181,
0.4413858652114868,
0.5317883491516113,
0.5612990856170654
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Review on Tuberculosis Detection Using Various Data Mining Techniques | [
"A Belief Rule Based Flood Risk Assessment Expert System using Real Time Sensor Data Streaming",
"A DECISION SUPPORT SYSTEM FOR TUBERCULOSIS DIAGNOSABILITY",
"Certain factor analysis for extra pulmonary tuberculosis diagnosis",
"Utilization of Data Mining Techniques for Prediction and Diagnosis of Tuberculosis Disease Survivability",
"Tuberculosis Disease Diagnosis Using Artificial Neural Networks",
"Analysis of a Wideband Circularly Polarized Cylindrical Dielectric Resonator Antenna With Broadside Radiation Coupled With Simple Microstrip Feeding",
"Data Mining - Concepts, Models and Techniques",
"Social Networks Users : Fear of Missing Out in Preservice Teachers",
"Binary-code obfuscations in prevalent packer tools",
"The Role of Enterprise Architecture in the Quest for IT Value",
"Graph Embedding Problem Settings Graph Embedding Input Graph Embedding Output Homogeneous Graph Heterogeneous Graph Graph with Auxiliary Information Graph Constructed from Non-relational Data Node Embedding Edge Embedding Hybrid Embedding Whole-Graph Embedding Graph Embedding Techniques Matrix Facto",
"S.10.03 Computerized training of working memory in children with ADHD",
"Cross-lingual Name Tagging and Linking for 282 Languages",
"Triage: diagnosing production run failures at the user's site",
"Mondor's Disease of the Penis Mistaken for Penile Fracture",
"The neural basis of intuitive best next-move generation in board game experts.",
"Towards Literate Artificial Intelligence",
"What Makes Online Content Viral ?",
"Thinking about intentions",
"An efficient privacy mechanism for electronic health records",
"Predicting Deeper into the Future of Semantic Segmentation",
"Benchmarking Optimization Software with Performance Profiles",
"Automatic Sentiment Analysis for Unstructured Data",
"Graph-Based Semi-supervised Learning for Fault Detection and Classification in Solar Photovoltaic Arrays",
"Bottleneck Conditional Density Estimation",
"AmbientGAN: Generative models from lossy measurements",
"TRIZ for software architecture",
"Enterprise Architecture Principles: Literature Review and Research Directions",
"GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms",
"A Deep Convolutional Generative Adversarial Networks (DCGANs)-Based Semi-Supervised Method for Object Recognition in Synthetic Aperture Radar (SAR) Images"
] | [
0.8316899538040161,
0.868193507194519,
0.8726965188980103,
0.9382064342498779,
0.9160701632499695,
0.7883818745613098,
0.881619930267334,
0.7962512969970703,
0.8280830979347229,
0.787251353263855,
0.7874833345413208,
0.8004207611083984,
0.8302468061447144,
0.8175286054611206,
0.8015655279159546,
0.7945494651794434,
0.8115330338478088,
0.790851354598999,
0.7954976558685303,
0.8389841318130493,
0.825412392616272,
0.8132754564285278,
0.8447231650352478,
0.833345353603363,
0.8188122510910034,
0.818073570728302,
0.7932051420211792,
0.8021498918533325,
0.8275787830352783,
0.8322275280952454
] | [
0.8089777231216431,
0.8550293445587158,
0.8800661563873291,
0.9115382432937622,
0.8796690106391907,
0.7739169597625732,
0.8649420142173767,
0.7925810813903809,
0.8117599487304688,
0.7769795656204224,
0.779035747051239,
0.7923605442047119,
0.8082777857780457,
0.8122580647468567,
0.7799938321113586,
0.7803243398666382,
0.8002140522003174,
0.7833844423294067,
0.7688001394271851,
0.8424503803253174,
0.8284251689910889,
0.7945564389228821,
0.8120070099830627,
0.8068997859954834,
0.7902977466583252,
0.7897276878356934,
0.7911813259124756,
0.7959160208702087,
0.7871664762496948,
0.8079041242599487
] | [
0.7887459397315979,
0.8539057970046997,
0.8475829362869263,
0.8888011574745178,
0.8801833391189575,
0.7513076066970825,
0.8464527726173401,
0.7549880146980286,
0.7825344800949097,
0.7657791376113892,
0.7820725440979004,
0.7579580545425415,
0.7800235748291016,
0.7921026945114136,
0.764153242111206,
0.7523130178451538,
0.7474431395530701,
0.7452316880226135,
0.763581395149231,
0.7753528356552124,
0.7739293575286865,
0.7805936932563782,
0.7648271322250366,
0.767175555229187,
0.7647527456283569,
0.776637077331543,
0.7810074090957642,
0.7778984308242798,
0.7690742015838623,
0.7884292006492615
] | [
0.5520548820495605,
0.7993099689483643,
0.7704805135726929,
0.8768846988677979,
0.8408327698707581,
0.4016633629798889,
0.7800272703170776,
0.3995361924171448,
0.4617041349411011,
0.3755607008934021,
0.5008385181427002,
0.4070577621459961,
0.48910558223724365,
0.4793495535850525,
0.39762911200523376,
0.37214064598083496,
0.454063355922699,
0.37006643414497375,
0.38558781147003174,
0.509872555732727,
0.4727168679237366,
0.4639895558357239,
0.5337724685668945,
0.5388956069946289,
0.5264347791671753,
0.47900253534317017,
0.43617457151412964,
0.4427759051322937,
0.4030911922454834,
0.48548048734664917
] | [
0.44092899560928345,
0.7378383874893188,
0.7226097583770752,
0.8407871723175049,
0.8014906048774719,
0.2698338031768799,
0.7278037071228027,
0.25445249676704407,
0.30171945691108704,
0.23307853937149048,
0.3430755138397217,
0.2387499362230301,
0.3314512372016907,
0.3420436680316925,
0.2859184145927429,
0.21577957272529602,
0.2740132212638855,
0.26944324374198914,
0.2581115961074829,
0.3322703242301941,
0.3189493715763092,
0.3345215916633606,
0.3880041241645813,
0.38914918899536133,
0.3776921033859253,
0.30724048614501953,
0.2828410565853119,
0.2974572777748108,
0.24193599820137024,
0.319851815700531
] | [
0.5658215284347534,
0.7949298620223999,
0.7683517932891846,
0.8673356771469116,
0.8364894390106201,
0.4286639392375946,
0.7854981422424316,
0.43251386284828186,
0.4963461756706238,
0.40598922967910767,
0.49953407049179077,
0.4320054054260254,
0.5091891288757324,
0.5164865255355835,
0.43892812728881836,
0.40898001194000244,
0.4791262745857239,
0.38036853075027466,
0.41964197158813477,
0.5304476618766785,
0.4909702241420746,
0.48955732583999634,
0.5540739297866821,
0.5611667633056641,
0.5449087023735046,
0.4994400143623352,
0.46421122550964355,
0.4697754979133606,
0.4353163242340088,
0.5143908858299255
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Multi-agent systems and decentralized artificial superintelligence | [
"Multi-modal Semantic Place Classification",
"Social Attitudes of AI Rebellion: A Framework",
"A Computability Argument Against Superintelligence",
"The Pleasure Principle as a Tool for Scientific Forecasting of Human Self-Evolution",
"MODELING BY MULTI-AGENT SYSTEMS : A SWARM INTELLIGENCE APPROACH",
"Fields and Objects in Space, Time, and Space-time",
"Multi-Task Learning for Stock Selection",
"Deep Neural Network for Real-Time Autonomous Indoor Navigation",
"Vulnerable time periods for attrition during nurse anesthesia education.",
"A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems",
"Phishing Websites Detection based on Phishing Characteristics in the Webpage Source Code",
"Tackling the digitalization challenge : how to benefit from digitalization in practice",
"Fast and Large-scale Unsupervised Relation Extraction",
"Double Inverted Pendulum Control Based on Three-loop PID and Improved BP Neural Network",
"Strategic management and entrepreneurship : Friends or foes ?",
"Large-scale Unit Commitment under uncertainty",
"New literacy, new audiences: social media and cultural institutions",
"The Social Nature of Agile Teams",
"Generative Temporal Models with Spatial Memory for Partially Observed Environments",
"Big Data and Specific Analysis Methods for Insurance Fraud Detection Big Data and Specific Analysis Methods for Insurance Fraud Detection",
"An Investigation of Factors affecting the Use of ICT for Teaching in the Western Cape Schools",
"Deriving Decision Models from Process Models by Enhanced Decision Mining",
"Enhancing Bitcoin Security and Performance with Strong Consistency via Collective Signing",
"Brown adipose tissue: function and physiological significance.",
"Traffic accident segmentation by means of latent class clustering.",
"Unscented Filtering for Spacecraft Attitude Estimation",
"Automatic Construction of Morphologically Motivated Translation Models for Highly Inflected , Low-Resource Languages",
"Modelling Experimental Game Design",
"PHM-Oriented Integrated Fusion Prognostics for Aircraft Engines Based on Sensor Data",
"Reducing medical claims cost to Ghana’s National Health Insurance scheme: a cross-sectional comparative assessment of the paper- and electronic-based claims reviews"
] | [
0.8289587497711182,
0.8527191877365112,
0.8844443559646606,
0.8141979575157166,
0.8781405091285706,
0.8191289901733398,
0.8334872722625732,
0.8280240893363953,
0.7876917123794556,
0.8747966289520264,
0.8240503072738647,
0.819014310836792,
0.8411450982093811,
0.825167179107666,
0.8119598627090454,
0.8475918173789978,
0.8135650157928467,
0.8312089443206787,
0.8066873550415039,
0.8195562362670898,
0.7937947511672974,
0.841941237449646,
0.8421977758407593,
0.8089750409126282,
0.8236445188522339,
0.8088369369506836,
0.831168532371521,
0.8245635032653809,
0.8343547582626343,
0.8101211190223694
] | [
0.800525426864624,
0.8252399563789368,
0.8542606234550476,
0.7782213091850281,
0.8540269136428833,
0.8093984127044678,
0.8140692114830017,
0.7909766435623169,
0.7847468256950378,
0.8358324766159058,
0.768222987651825,
0.7764319777488708,
0.8383220434188843,
0.8038133382797241,
0.782351016998291,
0.8151887655258179,
0.809151291847229,
0.8240844011306763,
0.7854907512664795,
0.8205898404121399,
0.7745773792266846,
0.8179668188095093,
0.8096493482589722,
0.7892712354660034,
0.8024870157241821,
0.7828425765037537,
0.7926862239837646,
0.7987033128738403,
0.7891100645065308,
0.7686715126037598
] | [
0.7685793042182922,
0.8086647391319275,
0.8291671276092529,
0.7847816944122314,
0.8371615409851074,
0.7979099750518799,
0.7848418951034546,
0.7859483361244202,
0.7409924268722534,
0.8016478419303894,
0.7766030430793762,
0.7817060351371765,
0.7849189043045044,
0.7509444952011108,
0.7466491460800171,
0.811435341835022,
0.7787057757377625,
0.800049901008606,
0.7764307260513306,
0.7767176032066345,
0.750861644744873,
0.7725083231925964,
0.8006094098091125,
0.7499059438705444,
0.781364381313324,
0.7702245712280273,
0.7513646483421326,
0.7821714878082275,
0.7676547765731812,
0.7509934902191162
] | [
0.5037561655044556,
0.6477283239364624,
0.7184112071990967,
0.5349928140640259,
0.8069404363632202,
0.5303494930267334,
0.5412830114364624,
0.5996984243392944,
0.37055087089538574,
0.61680668592453,
0.46103811264038086,
0.48275962471961975,
0.5259084105491638,
0.5245339870452881,
0.4574745297431946,
0.5849459171295166,
0.4362044632434845,
0.5156944394111633,
0.5557733774185181,
0.5359418988227844,
0.39355045557022095,
0.5486683249473572,
0.5219468474388123,
0.40887531638145447,
0.5173712968826294,
0.5722860097885132,
0.48253852128982544,
0.6205729842185974,
0.5294944643974304,
0.37853413820266724
] | [
0.3053036034107208,
0.5478676557540894,
0.6430468559265137,
0.39365488290786743,
0.7435239553451538,
0.3829345703125,
0.3728804588317871,
0.44774749875068665,
0.2299717366695404,
0.5302936434745789,
0.2800666391849518,
0.3061716854572296,
0.37679263949394226,
0.4008599519729614,
0.30536365509033203,
0.4320805072784424,
0.2856532037258148,
0.38860079646110535,
0.35677748918533325,
0.42561525106430054,
0.2314097136259079,
0.3520273268222809,
0.40401583909988403,
0.22581619024276733,
0.34615135192871094,
0.4086979031562805,
0.2938430905342102,
0.451079398393631,
0.35097676515579224,
0.21969307959079742
] | [
0.5330142974853516,
0.6575765013694763,
0.7401624321937561,
0.5689011812210083,
0.7971296310424805,
0.5755881071090698,
0.572700560092926,
0.6166068911552429,
0.4133867919445038,
0.6394773721694946,
0.49181103706359863,
0.5160505771636963,
0.5555156469345093,
0.5548319220542908,
0.48814159631729126,
0.6094691157341003,
0.47772547602653503,
0.5375174283981323,
0.575638473033905,
0.5486217737197876,
0.42958521842956543,
0.5734513998031616,
0.5486446619033813,
0.4517122507095337,
0.5412356853485107,
0.5976050496101379,
0.5189015865325928,
0.6307746171951294,
0.5544240474700928,
0.42431050539016724
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Component-Based Software Engineering | [
"Twenty-eight years of component-based software engineering",
"The unified modeling language reference manual",
"Supporting Microservice Evolution",
"Component Selection for Component based Software Engineering",
"Component-based software engineering - new challenges in software development",
"Augmented reality in the smart factory: Supporting workers in an industry 4.0. environment",
"Enterprise Applications: a Conceptual Look at Erp, Crm, and Scm",
"End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning",
"Stock Volatility Prediction Using Recurrent Neural Networks with Sentiment Analysis",
"Skeleton-based action recognition using LSTM and CNN",
"Efficient Exact Inference for 3D Indoor Scene Understanding",
"Warped Convolutions: Efficient Invariance to Spatial Transformations",
"Experience Replay Using Transition Sequences",
"Learned Step Size Quantization",
"Climate change and capture fisheries : potential impacts , adaptation and mitigation",
"A Frequency Selective Radome With Wideband Absorbing Properties",
"Restorability of Teeth: A Numerical Simplified Restorative Decision-Making Chart",
"RDF Graph Embeddings for Content-based Recommender Systems",
"MedChatBot: An UMLS based Chatbot for Medical Students",
"R3: Reinforced Ranker-Reader for Open-Domain Question Answering",
"Lexical Normalisation of Short Text Messages: Makn Sens a #twitter",
"Parsing to Programs: A Framework for Situated QA",
"Childhood obesity: public-health crisis, common sense cure",
"Changes in Self-Definition Impede Recovery From Rejection.",
"Communication and the Emergence of Collective Behavior in Living Organisms: A Quantum Approach",
"Luke, I am Your Father: Dealing with Out-of-Domain Requests by Using Movies Subtitles",
"Discourse and Information Structure",
"A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models",
"Bedtime procrastination: introducing a new area of procrastination",
"A low stand-by power start-up circuit for SMPS PWM controller"
] | [
0.9118988513946533,
0.8539930582046509,
0.8524182438850403,
0.9516847133636475,
0.9424726366996765,
0.8224159479141235,
0.8540438413619995,
0.822758674621582,
0.7974348068237305,
0.8074203729629517,
0.8126591444015503,
0.8185438513755798,
0.8173503875732422,
0.8262553811073303,
0.7909548282623291,
0.7855589389801025,
0.8137369155883789,
0.8237687349319458,
0.8246457576751709,
0.8230017423629761,
0.8105226755142212,
0.8509483337402344,
0.7905835509300232,
0.8054997324943542,
0.8043628931045532,
0.8012382984161377,
0.7950239181518555,
0.8100855350494385,
0.8124167919158936,
0.8226266503334045
] | [
0.89164137840271,
0.8189641237258911,
0.8159893751144409,
0.9357017874717712,
0.9295119047164917,
0.7915022969245911,
0.8160578608512878,
0.8001531362533569,
0.7659174203872681,
0.7766820788383484,
0.7762523889541626,
0.7812292575836182,
0.797622561454773,
0.7821178436279297,
0.7515465021133423,
0.7698225975036621,
0.7847817540168762,
0.7949988842010498,
0.7873455286026001,
0.8017256259918213,
0.7637050747871399,
0.8093205094337463,
0.7588528394699097,
0.7535102367401123,
0.7782028913497925,
0.7840752601623535,
0.7786455154418945,
0.8045909404754639,
0.7738043069839478,
0.7955642342567444
] | [
0.8929523229598999,
0.8225367069244385,
0.8096266984939575,
0.9175963401794434,
0.9092108011245728,
0.7821427583694458,
0.804279625415802,
0.7892155647277832,
0.7571138143539429,
0.76777184009552,
0.7629766464233398,
0.7667184472084045,
0.7800736427307129,
0.7876627445220947,
0.7520443201065063,
0.7609268426895142,
0.7675374746322632,
0.8050764799118042,
0.7722421884536743,
0.7887251377105713,
0.7503882646560669,
0.7987467050552368,
0.7731179594993591,
0.7526996731758118,
0.7536418437957764,
0.773941159248352,
0.7756758332252502,
0.7749239206314087,
0.781360387802124,
0.7678419351577759
] | [
0.9175759553909302,
0.7638763189315796,
0.6873108148574829,
0.9066973924636841,
0.9542181491851807,
0.518218994140625,
0.6699700355529785,
0.45305135846138,
0.45442140102386475,
0.44190287590026855,
0.4119923412799835,
0.4550234377384186,
0.5280078053474426,
0.47218096256256104,
0.436845600605011,
0.43316298723220825,
0.48739171028137207,
0.4930979609489441,
0.5528932809829712,
0.4250950217247009,
0.43701452016830444,
0.6424868106842041,
0.428653359413147,
0.37566643953323364,
0.487570583820343,
0.5017174482345581,
0.5184290409088135,
0.41435354948043823,
0.4803224503993988,
0.4126027822494507
] | [
0.9190734624862671,
0.6997382640838623,
0.5609387755393982,
0.8785485029220581,
0.9648680686950684,
0.36085954308509827,
0.5527045726776123,
0.29204660654067993,
0.2582782506942749,
0.2662743330001831,
0.24992768466472626,
0.29209280014038086,
0.3630800247192383,
0.31044602394104004,
0.27057844400405884,
0.2951430082321167,
0.3158589005470276,
0.31711605191230774,
0.4168665409088135,
0.2638637125492096,
0.2590234577655792,
0.5042310357093811,
0.24224039912223816,
0.26559022068977356,
0.2995334267616272,
0.35254961252212524,
0.36388808488845825,
0.23844774067401886,
0.3154354691505432,
0.2632274627685547
] | [
0.9284441471099854,
0.7709043025970459,
0.687830924987793,
0.9049674272537231,
0.9519860744476318,
0.5389201045036316,
0.6708017587661743,
0.48556792736053467,
0.4992203414440155,
0.48299404978752136,
0.4520912170410156,
0.5006675124168396,
0.5631901025772095,
0.5218989253044128,
0.4749424159526825,
0.4661945700645447,
0.520216703414917,
0.5212910175323486,
0.5894864797592163,
0.4677243232727051,
0.4786188006401062,
0.652551531791687,
0.4616047739982605,
0.43330445885658264,
0.5184472799301147,
0.5408961772918701,
0.5609028339385986,
0.45155274868011475,
0.5080939531326294,
0.4441169500350952
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
A Light CNN for Deep Face Representation With Noisy Labels | [
"Detecting Learning vs Memorization in Deep Neural Networks using Shared Structure Validation Sets",
"Wildest Faces: Face Detection and Recognition in Violent Settings",
"Longitudinal Study of Automatic Face Recognition",
"VGGFace2: A Dataset for Recognising Faces across Pose and Age",
"Face Alignment With Deep Regression",
"Accounting information systems research: Is it another QWERTY?",
"User Acceptance of Information Technology: Toward a Unified View",
"Concolic testing for deep neural networks",
"Path integration and the neural basis of the 'cognitive map'",
"Cognitive processes mediating behavioral change.",
"Improved Statistical Signal Detection in Pharmacovigilance by Combining Multiple Strength-of-Evidence Aspects in vigiRank",
"History of cannabis as a medicine: a review.",
"Energy Storage Systems for Automotive Applications",
"Compact-Size Low-Profile Wideband Circularly Polarized Omnidirectional Patch Antenna With Reconfigurable Polarizations",
"A Scheduling Strategy on Load Balancing of Virtual Machine Resources in Cloud Computing Environment",
"A Survey on Security and Privacy Issues of Bitcoin",
"Learning Bayesian Belief Network Classifiers: Algorithms and System",
"An Analysis of Attacks on Blockchain Consensus",
"Design patterns: elements of reuseable object-oriented software",
"Powder-based additive manufacturing – a review of types of defects , generation mechanisms , detection , property evaluation and metrology",
"A comparative study of open source deep learning frameworks",
"Aerodynamics, sensing and control of insect-scale flapping-wing flight.",
"cells of two patients with Familial",
"Semantic search engine : A survey",
"An Introduction to Image Synthesis with Generative Adversarial Nets",
"Supply chain management : theory , practice and future challenges",
"Semantic Web",
"Joint Image Filtering with Deep Convolutional Networks",
"Bioarchitecture: bioinspired art and architecture--a perspective.",
"Recurrent Neural Networks for Drum Transcription"
] | [
0.8640250563621521,
0.8522968292236328,
0.8527863025665283,
0.8723084926605225,
0.8982951641082764,
0.7728105783462524,
0.8003548383712769,
0.8738722801208496,
0.8147554397583008,
0.7892958521842957,
0.8071721196174622,
0.7583645582199097,
0.7856487035751343,
0.7955780029296875,
0.7670663595199585,
0.7880511283874512,
0.8367255330085754,
0.7910693883895874,
0.7909022569656372,
0.7680978178977966,
0.8573905229568481,
0.7867093086242676,
0.7838457822799683,
0.8088362216949463,
0.8455327153205872,
0.7591623067855835,
0.7914565205574036,
0.8908979296684265,
0.7894381284713745,
0.8510053157806396
] | [
0.8030906915664673,
0.8320103883743286,
0.8494120836257935,
0.821996808052063,
0.87900710105896,
0.7535557746887207,
0.776456356048584,
0.8437972068786621,
0.8067827224731445,
0.765655517578125,
0.7701073884963989,
0.765137791633606,
0.7745177745819092,
0.7797724008560181,
0.7624974250793457,
0.7792994976043701,
0.8279094099998474,
0.7882877588272095,
0.7505786418914795,
0.7627029418945312,
0.8329360485076904,
0.7635989189147949,
0.760793149471283,
0.7960357069969177,
0.8273764848709106,
0.7493128776550293,
0.7844446301460266,
0.8432074785232544,
0.7735832929611206,
0.8199537992477417
] | [
0.7820433378219604,
0.799252986907959,
0.7935283184051514,
0.8142860531806946,
0.8551496267318726,
0.7354260683059692,
0.7342787981033325,
0.80882728099823,
0.762301504611969,
0.749738872051239,
0.7491399049758911,
0.7405929565429688,
0.7294511795043945,
0.7301361560821533,
0.7475371360778809,
0.757847011089325,
0.791330099105835,
0.7666528224945068,
0.7339907884597778,
0.747246265411377,
0.8158733248710632,
0.7475226521492004,
0.7474201917648315,
0.7582374811172485,
0.8139797449111938,
0.7267781496047974,
0.7502934336662292,
0.8102959990501404,
0.7568198442459106,
0.7955470085144043
] | [
0.5845597386360168,
0.6886224746704102,
0.6841737031936646,
0.7618041634559631,
0.7515685558319092,
0.3182688355445862,
0.3594034016132355,
0.6197867393493652,
0.47846895456314087,
0.3799273371696472,
0.4770217537879944,
0.31600749492645264,
0.39359718561172485,
0.34392762184143066,
0.32855379581451416,
0.3627047538757324,
0.5571469068527222,
0.36889809370040894,
0.381480872631073,
0.42736971378326416,
0.6568536758422852,
0.3447710871696472,
0.38654473423957825,
0.43915021419525146,
0.6180046796798706,
0.33020561933517456,
0.46605828404426575,
0.6824671030044556,
0.4260583519935608,
0.5425992012023926
] | [
0.4786285161972046,
0.596808135509491,
0.5923870801925659,
0.6825406551361084,
0.6729719638824463,
0.1601257026195526,
0.18379631638526917,
0.4969847798347473,
0.34743666648864746,
0.21616753935813904,
0.31718093156814575,
0.16226080060005188,
0.2471616268157959,
0.2168114185333252,
0.19241341948509216,
0.21941134333610535,
0.42315617203712463,
0.22476373612880707,
0.20827628672122955,
0.28635871410369873,
0.5787218809127808,
0.18620100617408752,
0.23612427711486816,
0.27926987409591675,
0.4994243383407593,
0.1411927491426468,
0.3202625513076782,
0.5814558863639832,
0.28130483627319336,
0.4224974513053894
] | [
0.5947919487953186,
0.6956391334533691,
0.6837615370750427,
0.7573336958885193,
0.7540568113327026,
0.3468404710292816,
0.3803471028804779,
0.6286473870277405,
0.5158238410949707,
0.3959965109825134,
0.4939991235733032,
0.35815489292144775,
0.41889047622680664,
0.37524670362472534,
0.3675955832004547,
0.3940783739089966,
0.5730997323989868,
0.4065711498260498,
0.41762030124664307,
0.44231897592544556,
0.6632646918296814,
0.37754619121551514,
0.40693199634552,
0.457142174243927,
0.6357696652412415,
0.35372602939605713,
0.4873931407928467,
0.6875133514404297,
0.4650837481021881,
0.5718490481376648
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Activity Recognition from User-Annotated Acceleration Data | [
"Sensor-Based Activity Recognition",
"Activity recognition and monitoring using multiple sensors on different body positions",
"Real-Time Recognition of Physical Activities and Their Intensities Using Wireless Accelerometers and a Heart Rate Monitor",
"Using tri-axial acceleration data to identify behavioral modes of free-ranging animals: general concepts and tools illustrated for griffon vultures.",
"Human Activity Recognition and Pattern Discovery",
"Process Mining in Healthcare",
"Regulation of fracture repair by growth factors.",
"A saliency-based search mechanism for overt and covert shifts of visual attention",
"Caffeine & Health : Clarifying The Controversies IFIC",
"Linguistic Regularities in Sparse and Explicit Word Representations",
"Going Spear Phishing: Exploring Embedded Training and Awareness",
"Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen",
"A comparative study on temporal database models: A survey",
"Impact of 12h shift patterns in nursing: a scoping review.",
"The history of twins, as a criterion of the relative powers of nature and nurture (1,2).",
"A Semantic Loss Function for Deep Learning Under Weak Supervision ∗",
"Caloric restriction and intermittent fasting: Two potential diets for successful brain aging",
"Overview of Electric Motor Technologies Used for More Electric Aircraft (MEA)",
"Autonomous vehicles testing methods review",
"Metacognitive regulation of text learning: on screen versus on paper.",
"Fuzzy Cognitive Map software",
"A Novel PAPR Reduction Scheme for OFDM System Based on Deep Learning",
"TensorFlow-Serving: Flexible, High-Performance ML Serving",
"Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding",
"Biological Activities of Essential Oils: From Plant Chemoecology to Traditional Healing Systems",
"REAL-TIME PARAMETER ESTIMATION IN THE FREQUENCY DOMAIN",
"MinIE: Minimizing Facts in Open Information Extraction",
"FPGA-accelerated deep convolutional neural networks for high throughput and energy efficiency"
] | [
0.9083470702171326,
0.8823655843734741,
0.9049558639526367,
0.8350362777709961,
0.8948813676834106,
0.8263894319534302,
0.798972487449646,
0.8237627744674683,
0.7931337356567383,
0.8125698566436768,
0.8365828394889832,
0.8005797863006592,
0.8228391408920288,
0.797059178352356,
0.77430260181427,
0.8210725784301758,
0.8017828464508057,
0.8055073618888855,
0.8235175609588623,
0.8245378136634827,
0.8120339512825012,
0.8124924898147583,
0.8017023801803589,
0.8220993280410767,
0.8082672953605652,
0.8119977712631226,
0.8330204486846924,
0.8488914370536804
] | [
0.8687598705291748,
0.8493298292160034,
0.855283796787262,
0.8020373582839966,
0.8600677847862244,
0.7881105542182922,
0.7598997354507446,
0.7893093228340149,
0.7587569355964661,
0.7662618160247803,
0.779704749584198,
0.7751867771148682,
0.7686036825180054,
0.7563866376876831,
0.7461969256401062,
0.7795580625534058,
0.7565535306930542,
0.7661540508270264,
0.7768692970275879,
0.7793300747871399,
0.7698001861572266,
0.7727117538452148,
0.7657120227813721,
0.7773396968841553,
0.7396535277366638,
0.7947304844856262,
0.7856307029724121,
0.7999206781387329
] | [
0.8505465984344482,
0.8348184823989868,
0.8639141321182251,
0.7987556457519531,
0.849956750869751,
0.7807990312576294,
0.7653632164001465,
0.7604683637619019,
0.750061571598053,
0.7616176605224609,
0.7861653566360474,
0.7700467109680176,
0.7515683770179749,
0.7386010885238647,
0.7466436624526978,
0.7707794904708862,
0.7570087909698486,
0.75718092918396,
0.7715277671813965,
0.7766759395599365,
0.770601749420166,
0.7637062072753906,
0.776439905166626,
0.7832726836204529,
0.7253421545028687,
0.7628225088119507,
0.7721441984176636,
0.7964653372764587
] | [
0.8045167922973633,
0.7671141624450684,
0.7796140909194946,
0.5899626016616821,
0.8034096360206604,
0.5608175992965698,
0.3532242178916931,
0.5483644008636475,
0.3971948027610779,
0.5331031084060669,
0.550735354423523,
0.5217916965484619,
0.5164345502853394,
0.41012442111968994,
0.3351355195045471,
0.570751428604126,
0.43375900387763977,
0.40867042541503906,
0.5506512522697449,
0.47307056188583374,
0.5312793254852295,
0.46768710017204285,
0.5686594247817993,
0.548088788986206,
0.35993361473083496,
0.5492211580276489,
0.5076826810836792,
0.5403560400009155
] | [
0.7575743198394775,
0.706725001335144,
0.7218608260154724,
0.5107262134552002,
0.7470973134040833,
0.4201803207397461,
0.2303762286901474,
0.40025442838668823,
0.26684948801994324,
0.371998131275177,
0.43663328886032104,
0.3502258062362671,
0.383548378944397,
0.3062635064125061,
0.24925118684768677,
0.4099385440349579,
0.2968365252017975,
0.2756657898426056,
0.4235288202762604,
0.3352440595626831,
0.3757448196411133,
0.32898372411727905,
0.3903622627258301,
0.3944389820098877,
0.2019263505935669,
0.3996589183807373,
0.3488539457321167,
0.39108479022979736
] | [
0.8007403016090393,
0.7623157501220703,
0.7727583646774292,
0.6155157685279846,
0.7972546219825745,
0.5749511122703552,
0.3762524127960205,
0.565351665019989,
0.4329834580421448,
0.5540668964385986,
0.5641798377037048,
0.5439097881317139,
0.5405665636062622,
0.4375854730606079,
0.33604127168655396,
0.5842357873916626,
0.45710593461990356,
0.4280858337879181,
0.5581766366958618,
0.49196118116378784,
0.5431275963783264,
0.48094409704208374,
0.5861851572990417,
0.5585906505584717,
0.3854103088378906,
0.5766976475715637,
0.5310258269309998,
0.5669401288032532
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks | [
"Closed-loop brain training: the science of neurofeedback",
"Recent Advances on Neuromorphic Systems Using Phase-Change Materials",
"Scientific intuitions about the mind are wrong, misled by consciousness.",
"Emerging Frontiers of Neuroengineering: A Network Science of Brain Connectivity.",
"Learning Disentangled Representations with Reference-Based Variational Autoencoders",
"BUILDING INFORMATION MODELLING FOR CULTURAL HERITAGE : A REVIEW",
"The Progressive Smart Grid System from Both Power and Communications Aspects",
"A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations",
"Developing limits for driving under cannabis.",
"Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains",
"The METIS 5G Architecture: A Summary of METIS Work on 5G Architectures",
"Double ridged horn antenna designs for wideband applications",
"Newer Understanding of Specific Anatomic Targets in the Aging Face as Applied to Injectables: Aging Changes in the Craniofacial Skeleton and Facial Ligaments.",
"\"who is Key...?\" - Characterizing Value Adding Users in Enterprise Social Networks",
"Computer aided clothing pattern design with 3D editing and pattern alteration",
"The Stages Of Event Extraction",
"Revenue : 229 B Revenue : ? Birth Year : ? Height : ? Weight : 70",
"Wideband coplanar waveguide RF probe pad to microstrip transitions without via holes",
"Indexing Fingerprint Databases Based on Multiple Features",
"Adversarial Network Compression",
"Extracting Scientific Figures with Distantly Supervised Neural Networks",
"Accelerator Architecture for Q-learning and its Applications in Space Exploration Rovers",
"Linking Transformational Leadership and Knowledge Sharing: The Mediating Roles of Perceived Team Goal Commitment and Perceived Team Identification",
"How to scale distributed deep learning?",
"A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data",
"COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency",
"A Public Domain Dataset for Human Activity Recognition using Smartphones",
"Evaluating Effect, Composite, and Causal Indicators in Structural Equation Models",
"Performance management and employee engagement",
"Virtual network security: threats, countermeasures, and challenges"
] | [
0.8594402074813843,
0.8417045474052429,
0.8005387783050537,
0.8852442502975464,
0.8386707305908203,
0.7979545593261719,
0.8239901661872864,
0.8371583223342896,
0.8076499700546265,
0.8291774988174438,
0.8388300538063049,
0.8003655672073364,
0.839038074016571,
0.8257402181625366,
0.8261816501617432,
0.8093831539154053,
0.7832155823707581,
0.7885572910308838,
0.8056086301803589,
0.8278853297233582,
0.8411599397659302,
0.8383060693740845,
0.8460103869438171,
0.8216336965560913,
0.8306599855422974,
0.8322927951812744,
0.811370313167572,
0.8276588916778564,
0.7888613939285278,
0.82574862241745
] | [
0.8603595495223999,
0.8248240947723389,
0.7853351831436157,
0.8589586615562439,
0.8139904737472534,
0.7644109725952148,
0.8129295706748962,
0.819271445274353,
0.7991698980331421,
0.797346830368042,
0.8087320327758789,
0.7818361520767212,
0.7755254507064819,
0.7966424226760864,
0.8097150325775146,
0.787584662437439,
0.7833688259124756,
0.7704278826713562,
0.7814363241195679,
0.7944005727767944,
0.8160271644592285,
0.8317476511001587,
0.7889372110366821,
0.8183212280273438,
0.8340197801589966,
0.7988623380661011,
0.8003764152526855,
0.794623613357544,
0.7807390689849854,
0.8040757775306702
] | [
0.814107358455658,
0.8043466806411743,
0.784572422504425,
0.8353822827339172,
0.7919251918792725,
0.775276780128479,
0.778222382068634,
0.8218628168106079,
0.7715373039245605,
0.7847465872764587,
0.7823916077613831,
0.7371963262557983,
0.779626190662384,
0.7861252427101135,
0.7884162664413452,
0.7564412355422974,
0.7591733932495117,
0.7383480072021484,
0.777080237865448,
0.7803375720977783,
0.7942076921463013,
0.8153293132781982,
0.7563260197639465,
0.809730589389801,
0.7988483309745789,
0.7880873680114746,
0.7739601135253906,
0.79206383228302,
0.7632337212562561,
0.7935690879821777
] | [
0.6016687154769897,
0.6175656318664551,
0.4491536617279053,
0.5822974443435669,
0.5897727012634277,
0.4554857611656189,
0.44757118821144104,
0.6710007190704346,
0.3558155298233032,
0.5608083605766296,
0.4916059374809265,
0.41379815340042114,
0.4591027498245239,
0.4827958643436432,
0.5141616463661194,
0.49587446451187134,
0.38288992643356323,
0.3390117287635803,
0.46593260765075684,
0.5975027084350586,
0.5729187726974487,
0.6363943815231323,
0.4541108012199402,
0.5955301523208618,
0.5987702012062073,
0.5080220103263855,
0.4774477481842041,
0.49836528301239014,
0.41004031896591187,
0.4131631553173065
] | [
0.47198647260665894,
0.534290075302124,
0.41047292947769165,
0.4503967761993408,
0.47656890749931335,
0.28123509883880615,
0.27767181396484375,
0.5814493298530579,
0.2585203945636749,
0.41690272092819214,
0.35004836320877075,
0.2862946391105652,
0.3055100440979004,
0.292852520942688,
0.3743942379951477,
0.3188188672065735,
0.28686243295669556,
0.22502267360687256,
0.32265764474868774,
0.45949476957321167,
0.42995187640190125,
0.5394695997238159,
0.2971542477607727,
0.5064743757247925,
0.448679119348526,
0.3372284173965454,
0.3062848448753357,
0.31593090295791626,
0.2531532347202301,
0.23723778128623962
] | [
0.628991961479187,
0.6399536728858948,
0.4716029167175293,
0.604077935218811,
0.6099393963813782,
0.4891061782836914,
0.4751068353652954,
0.6882551312446594,
0.42759042978286743,
0.5880427360534668,
0.5207054018974304,
0.44871431589126587,
0.4779621362686157,
0.5169325470924377,
0.5354974269866943,
0.5294973850250244,
0.35575902462005615,
0.38638627529144287,
0.4894481301307678,
0.6166188716888428,
0.5984073877334595,
0.6554946899414062,
0.48702090978622437,
0.608489990234375,
0.6078619360923767,
0.5442906618118286,
0.5134487152099609,
0.5286739468574524,
0.4473680257797241,
0.4459311366081238
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Study Cases : Ride Augmentation Bone by Grafting and PRP / Preparation for Dental Implants Placement | [
"Neuroanatomy for the Neuroscientist",
"From manual periodontal probing to digital 3-D imaging to endoscopic capillaroscopy: Recent advances in periodontal disease diagnosis.",
"Effects of an injectable platelet-rich fibrin on osteoblast behavior and bone tissue formation in comparison to platelet-rich plasma.",
"Bioactive treatments in bone grafts for implant-based rehabilitation: Systematic review and meta-analysis.",
"STICKY BONE IN DEHISCENCE DEFECT AROUND DENTAL IMPLANT",
"GridDS: a hybrid data structure for residue computation in point set matching",
"Community Informatics and Sustainability: Why Social Capital Matters",
"Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound",
"Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models",
"Usability of car dashboard displays for elder drivers",
"An Empirical Performance Evaluation of Docker Container , Openstack Virtual Machine and Bare Metal Server",
"Visual Relationship Detection with Language Priors",
"Closing the gap towards end-to-end autonomous vehicle system",
"Resource Allocation Strategy in Fog Computing Based on Priced Timed Petri Nets",
"Causal inference and the data-fusion problem.",
"Secure Pub-Sub: Blockchain-Based Fair Payment With Reputation for Reliable Cyber Physical Systems",
"Large deep neural networks for MS lesion segmentation",
"Attention Enhancement System using Virtual Reality and EEG Biofeedback",
"Exploring the Link Between Behavioural Information Security Governance and Employee Information Security Awareness",
"Deep Cross-Domain Fashion Recommendation",
"Association between commercial television exposure and fast-food consumption among adults.",
"Simultaneous Localization and Mapping : Literature Survey",
"A review of family and social determinants of children's eating patterns and diet quality.",
"Ventral and dorsal pathways for language.",
"Recombination Without Respect: Schema Combination and Disruption in Genetic Algorithm Grossover",
"Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges",
"Research and development of a 5-axis hybrid kinematic CNC machine",
"Strategic integration of knowledge management and customer relationship management",
"Neural Net Models for Open-Domain Discourse Coherence",
"Harnessing Constraint Programming for Poetry Composition"
] | [
0.8164857625961304,
0.8408079147338867,
0.8476517200469971,
0.8659442663192749,
0.8624383211135864,
0.7938979864120483,
0.7566524147987366,
0.8005459308624268,
0.7744182348251343,
0.7968339920043945,
0.7937486171722412,
0.7642648220062256,
0.7988560199737549,
0.7855089902877808,
0.7899907231330872,
0.8052535057067871,
0.7883715629577637,
0.8165289163589478,
0.7701207399368286,
0.7997524738311768,
0.7767142057418823,
0.7948427200317383,
0.7873871326446533,
0.7985284328460693,
0.8143272995948792,
0.7846347689628601,
0.8024598956108093,
0.7906099557876587,
0.7641481757164001,
0.7801651954650879
] | [
0.824032187461853,
0.8456552028656006,
0.8460405468940735,
0.8634381294250488,
0.8372637033462524,
0.7724565267562866,
0.7774149775505066,
0.8100197315216064,
0.7762457728385925,
0.796599268913269,
0.7827315926551819,
0.7758693695068359,
0.8087817430496216,
0.772590160369873,
0.8066705465316772,
0.7893952131271362,
0.7934634685516357,
0.815170168876648,
0.776458740234375,
0.7734924554824829,
0.7864714860916138,
0.8095929026603699,
0.7803428769111633,
0.820554792881012,
0.8022068738937378,
0.7983111143112183,
0.8082952499389648,
0.7788671255111694,
0.7687913179397583,
0.777506947517395
] | [
0.7968642115592957,
0.8204866647720337,
0.8354834318161011,
0.8484551310539246,
0.8444977402687073,
0.7732070088386536,
0.7447073459625244,
0.7966076731681824,
0.7589858770370483,
0.7663657665252686,
0.7704741954803467,
0.7562726736068726,
0.7793710231781006,
0.7468563318252563,
0.7907839417457581,
0.7831445336341858,
0.7664753198623657,
0.7852503061294556,
0.7424874305725098,
0.7649862766265869,
0.7716639041900635,
0.7759563326835632,
0.7912907004356384,
0.7978565096855164,
0.7928985953330994,
0.7717869281768799,
0.770526647567749,
0.7558248043060303,
0.7384388446807861,
0.760918378829956
] | [
0.48415935039520264,
0.5922746658325195,
0.6547350883483887,
0.7613992691040039,
0.6605260968208313,
0.41408753395080566,
0.3762178122997284,
0.40012577176094055,
0.3492034077644348,
0.41562843322753906,
0.34472665190696716,
0.412224143743515,
0.3657267689704895,
0.37162184715270996,
0.41402414441108704,
0.4116741418838501,
0.3884440064430237,
0.4446747899055481,
0.31754177808761597,
0.35667020082473755,
0.38340723514556885,
0.3794595003128052,
0.41968750953674316,
0.40963995456695557,
0.3748001158237457,
0.3241257071495056,
0.37554866075515747,
0.41005080938339233,
0.3387484550476074,
0.4121628999710083
] | [
0.33865460753440857,
0.46875423192977905,
0.5749449729919434,
0.7018506526947021,
0.6098847389221191,
0.30995163321495056,
0.2542341351509094,
0.25598397850990295,
0.22849658131599426,
0.28924310207366943,
0.2205887734889984,
0.27655303478240967,
0.2490803450345993,
0.24195849895477295,
0.2964091897010803,
0.28310179710388184,
0.25127190351486206,
0.3220263123512268,
0.16403557360172272,
0.2342226803302765,
0.23437553644180298,
0.22921939194202423,
0.26031064987182617,
0.267832487821579,
0.2631412446498871,
0.18038752675056458,
0.23589055240154266,
0.286746084690094,
0.2147531658411026,
0.2829984426498413
] | [
0.5091553330421448,
0.5807445049285889,
0.6317249536514282,
0.7429404258728027,
0.6449096202850342,
0.43155187368392944,
0.3876327872276306,
0.41575828194618225,
0.35895514488220215,
0.4343743920326233,
0.37032023072242737,
0.41662272810935974,
0.37419217824935913,
0.3891218900680542,
0.43121135234832764,
0.4209485948085785,
0.4048037528991699,
0.45149046182632446,
0.33519238233566284,
0.36346355080604553,
0.3955708146095276,
0.3955862522125244,
0.43965163826942444,
0.4318855106830597,
0.40129944682121277,
0.34160465002059937,
0.3822116255760193,
0.4125250577926636,
0.35588744282722473,
0.43396931886672974
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Very Deep Convolutional Networks for Text Classification | [
"Clinical Natural Language Processing in 2015: Leveraging the Variety of Texts of Clinical Interest.",
"Learning to Paraphrase for Question Answering",
"Towards Efficient Model for Automatic Text Summarization",
"Arabic text summarization based on latent semantic analysis to enhance arabic documents clustering",
"PKUSUMSUM : A Java Platform for Multilingual Document Summarization",
"An Automatic Multidocument Text Summarization Approach Based on Naïve Bayesian Classifier Using Timestamp Strategy",
"STATL: An Attack Language for State-Based Intrusion Detection",
"‘ Clear as Mud ’ : Toward Greater Clarity in Generic Qualitative Research",
"THE BUSINESS CYCLE",
"Etiology of the Psychopathic Serial Killer : An Analysis of Antisocial Personality Disorder , Psychopathy , and Serial Killer Personality and Crime Scene Characteristics",
"A Wearable Reflectance Pulse Oximeter for Remote Physiological Monitoring",
"Safety impacts of bicycle infrastructure: A critical review.",
"Metrics for Information Security - A literature review",
"Deep Compositional Cross-modal Learning to Rank via Local-Global Alignment",
"Complementary perspectives on metaphor : Cognitive linguistics and relevance theory",
"Exploring the Link Between Behavioural Information Security Governance and Employee Information Security Awareness",
"EmoNets: Multimodal deep learning approaches for emotion recognition in video",
"Deep Unsupervised Convolutional Domain Adaptation",
"Modeling of nonlinear audio effects with end-to-end deep neural networks",
"The evolution and psychology of self-deception.",
"Exploring the role of customer relationship management (CRM) systems in customer knowledge creation",
"Predicting Perceived Brand Personality with Social Media",
"From Algorithmic Black Boxes to Adaptive White Boxes: Declarative Decision-Theoretic Ethical Programs as Codes of Ethics",
"Products Components: Alcohols.",
"Memo No . 90 June 29 , 2018 Theory IIIb : Generalization in Deep Networks",
"The meaning and use of the area under a receiver operating characteristic (ROC) curve.",
"Deep Residual Feature Learning for Action Prediction",
"An expert system for analyzing firewall rules",
"How urban structure can affect city sustainability from an air quality perspective",
"A Similarity Measure for Text Classification and Clustering"
] | [
0.8400375247001648,
0.8489252924919128,
0.859907865524292,
0.8440506458282471,
0.8294972777366638,
0.8472293615341187,
0.8096393942832947,
0.7793612480163574,
0.7673838138580322,
0.7839675545692444,
0.7879838943481445,
0.774859607219696,
0.8032637238502502,
0.8748230338096619,
0.7929728031158447,
0.787421703338623,
0.8660480380058289,
0.885456383228302,
0.8500334024429321,
0.7953060865402222,
0.7856687307357788,
0.8145554661750793,
0.816354513168335,
0.7746727466583252,
0.855146050453186,
0.7857840061187744,
0.8690822124481201,
0.8009863495826721,
0.7671164274215698,
0.874016284942627
] | [
0.8120427131652832,
0.8168849349021912,
0.8225136995315552,
0.7885341644287109,
0.7823343276977539,
0.7786411046981812,
0.7643253803253174,
0.7567468285560608,
0.7409352660179138,
0.7454783916473389,
0.7451427578926086,
0.7423189878463745,
0.7561708688735962,
0.8299667835235596,
0.7741367220878601,
0.7544431090354919,
0.8252213597297668,
0.8396028280258179,
0.829128623008728,
0.7754448652267456,
0.773897111415863,
0.7957442998886108,
0.7622135281562805,
0.7409738302230835,
0.8046150207519531,
0.7586811780929565,
0.8347399234771729,
0.7701133489608765,
0.743628740310669,
0.8388370275497437
] | [
0.8188672065734863,
0.8038175106048584,
0.7937426567077637,
0.7845100164413452,
0.8059430718421936,
0.7784734964370728,
0.78448486328125,
0.7608422040939331,
0.7571691870689392,
0.7331880331039429,
0.7727847695350647,
0.7434518933296204,
0.7621056437492371,
0.8221086859703064,
0.7753347158432007,
0.7405064105987549,
0.8083941340446472,
0.8303061127662659,
0.8208522796630859,
0.7926323413848877,
0.7690035104751587,
0.7875738739967346,
0.7694989442825317,
0.7510827779769897,
0.8024882078170776,
0.7722336053848267,
0.8301221132278442,
0.7604920864105225,
0.7509557008743286,
0.8589898347854614
] | [
0.6391065120697021,
0.6664376258850098,
0.5937402844429016,
0.6107959747314453,
0.5691099762916565,
0.5881816744804382,
0.4263482987880707,
0.44800326228141785,
0.36123427748680115,
0.3821711242198944,
0.42892447113990784,
0.3799038827419281,
0.43998607993125916,
0.6353586912155151,
0.4923444092273712,
0.3552425503730774,
0.6290359497070312,
0.7118755578994751,
0.5798642039299011,
0.4239932894706726,
0.41795113682746887,
0.538711667060852,
0.44754481315612793,
0.36322343349456787,
0.6063264012336731,
0.48357445001602173,
0.6339976787567139,
0.4579126238822937,
0.3824089765548706,
0.6796736717224121
] | [
0.5805939435958862,
0.5628046989440918,
0.47622328996658325,
0.4729212522506714,
0.4418101906776428,
0.4508478045463562,
0.27538299560546875,
0.3136215806007385,
0.27254584431648254,
0.2131267488002777,
0.2716495990753174,
0.25329887866973877,
0.2613804042339325,
0.5291039943695068,
0.3832044303417206,
0.2102717012166977,
0.5552278757095337,
0.6207811832427979,
0.49414491653442383,
0.25639182329177856,
0.26525312662124634,
0.40599894523620605,
0.30949199199676514,
0.24554887413978577,
0.5794731378555298,
0.373018354177475,
0.5397589206695557,
0.2872723340988159,
0.2550944983959198,
0.5542111992835999
] | [
0.6511380672454834,
0.6826924085617065,
0.6104687452316284,
0.6173255443572998,
0.5905818939208984,
0.6046749353408813,
0.46212974190711975,
0.47391748428344727,
0.41802847385406494,
0.4121890962123871,
0.4489489793777466,
0.4110734760761261,
0.4654073715209961,
0.6469188928604126,
0.510160505771637,
0.3822134733200073,
0.6473737359046936,
0.7164257764816284,
0.5982542037963867,
0.4645102620124817,
0.4348371624946594,
0.5562911033630371,
0.47592049837112427,
0.3843609094619751,
0.6193032264709473,
0.5130009651184082,
0.6503459215164185,
0.47964948415756226,
0.4156248867511749,
0.6841186285018921
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Convolution Comparison Pattern: An Efficient Local Image Descriptor for Fingerprint Liveness Detection | [
"An improved 3-step contactless fingerprint image enhancement approach for minutiae detection",
"Separating the real from the synthetic: minutiae histograms as fingerprints of fingerprints",
"The Minutiae Based Latent Fingerprint Recognition System",
"An Efficient Approach for Latent Fingerprint Recognition",
"A comparison of minutia triplet based features for fingerprint indexing",
"Analyses of heart rate variability in young soccer players: The effects of sport activity",
"Packet Leashes: A Defense against Wormhole Attacks in Wireless Networks",
"Surviving or Flourishing ? Integrating Business Resilience and Sustainability",
"Implementing the Flipped Classroom in Teacher Education: Evidence from Turkey",
"53 5 Activity Theory : Implications for Human-Computer Interaction",
"Jalangi: a selective record-replay and dynamic analysis framework for JavaScript",
"Vision-Based SLAM and Moving Objects Tracking for the Perceptual Support of a Smart Walker Platform",
"Fully homomorphic SIMD operations",
"Dyscalculia : A unifying concept in understanding mathematics learning disabilities",
"A survey on the application of recurrent neural networks to statistical language modeling",
"Real-Time Coordination of Plug-In Electric Vehicle Charging in Smart Grids to Minimize Power Losses and Improve Voltage Profile",
"An Achilles Heel in Signature-Based IDS : Squealing False Positives in SNORT",
"P2P Lending Platform Risk Observing Method Based on Short-Time Multi-Source Regression Algorithm",
"Heterogeneous Silicon Photonic Integrated Circuits",
"Cross-lingual Coreference Resolution : A New Task for Multilingual Comparable Corpora",
"Object Detection with Discriminatively Trained Part Based Models",
"Towards Controlled Transformation of Sentiment in Sentences",
"How does social software change knowledge management? Toward a strategic research agenda",
"Deep Collaborative Autoencoder for Recommender Systems: A Unified Framework for Explicit and Implicit Feedback",
"Building a practically useful theory of goal setting and task motivation. A 35-year odyssey.",
"Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis",
"Porous Biodegradable Metals for Hard Tissue Scaffolds: A Review",
"Texture Synthesis Using Convolutional Neural Networks",
"Image classification for content-based indexing",
"Sliding-mode control for trajectory-tracking of a Wheeled Mobile Robot in presence of uncertainties"
] | [
0.8820284008979797,
0.8578308820724487,
0.8668627738952637,
0.8938242197036743,
0.8761622905731201,
0.7961576581001282,
0.8201128244400024,
0.7664013504981995,
0.7759114503860474,
0.8082178831100464,
0.8265611529350281,
0.8262410163879395,
0.8025707006454468,
0.7951812744140625,
0.8039088249206543,
0.8190852403640747,
0.8336500525474548,
0.827971875667572,
0.7983428835868835,
0.8360151648521423,
0.8487842679023743,
0.8101136088371277,
0.7757096290588379,
0.830946683883667,
0.7798642516136169,
0.8564069271087646,
0.7947900891304016,
0.8340343236923218,
0.8350833058357239,
0.7957520484924316
] | [
0.842043936252594,
0.8262571096420288,
0.8482521176338196,
0.8767967224121094,
0.8385953903198242,
0.7717882394790649,
0.7963038086891174,
0.7399516701698303,
0.7429866790771484,
0.7785876393318176,
0.7847384810447693,
0.794725775718689,
0.7833640575408936,
0.7546733617782593,
0.7799775004386902,
0.7851358652114868,
0.8081606030464172,
0.7786874175071716,
0.7749546766281128,
0.7985798120498657,
0.8057042956352234,
0.7755835056304932,
0.7300057411193848,
0.8055675029754639,
0.764908492565155,
0.8264055252075195,
0.7431080341339111,
0.8109659552574158,
0.8006414771080017,
0.7481915950775146
] | [
0.8092919588088989,
0.8019957542419434,
0.8188729286193848,
0.8274239301681519,
0.8306924104690552,
0.7440168857574463,
0.7685731649398804,
0.7434508204460144,
0.7198501229286194,
0.751534104347229,
0.7878004312515259,
0.7587906122207642,
0.7573860287666321,
0.7537591457366943,
0.7415080070495605,
0.7410221099853516,
0.7912432551383972,
0.7445017695426941,
0.7383279204368591,
0.7610667943954468,
0.7893742322921753,
0.7338531613349915,
0.7269171476364136,
0.7593575716018677,
0.7545446157455444,
0.7990724444389343,
0.7427660226821899,
0.7888031005859375,
0.7772931456565857,
0.715623140335083
] | [
0.7635025978088379,
0.7760151624679565,
0.7774022817611694,
0.7961925268173218,
0.7706204652786255,
0.3869481682777405,
0.428109347820282,
0.3319050073623657,
0.3398295044898987,
0.4352172017097473,
0.46090948581695557,
0.48743563890457153,
0.45770445466041565,
0.36474180221557617,
0.41600531339645386,
0.34338364005088806,
0.5297762155532837,
0.43296903371810913,
0.38762959837913513,
0.4290279150009155,
0.5607408285140991,
0.43208783864974976,
0.31961995363235474,
0.45188450813293457,
0.354392409324646,
0.528343915939331,
0.3875580132007599,
0.5803539752960205,
0.61033034324646,
0.3831753134727478
] | [
0.7105271816253662,
0.7077679634094238,
0.7315830588340759,
0.7495927810668945,
0.7113596200942993,
0.2534331977367401,
0.28195279836654663,
0.21518535912036896,
0.2087269425392151,
0.3001701235771179,
0.3519141972064972,
0.3534677028656006,
0.3724941909313202,
0.24580614268779755,
0.27431225776672363,
0.18560156226158142,
0.4225119352340698,
0.3159872889518738,
0.2606508135795593,
0.30092567205429077,
0.44702664017677307,
0.2942652702331543,
0.17292770743370056,
0.33396396040916443,
0.22340178489685059,
0.4376266598701477,
0.255648672580719,
0.4995236396789551,
0.5246854424476624,
0.2403283566236496
] | [
0.7659149765968323,
0.7749285697937012,
0.76722252368927,
0.7873610258102417,
0.7683147192001343,
0.41894203424453735,
0.470145046710968,
0.36575376987457275,
0.3776071071624756,
0.4624549150466919,
0.49769628047943115,
0.5122066736221313,
0.5032249689102173,
0.3996257781982422,
0.44553083181381226,
0.38342466950416565,
0.565216064453125,
0.4665713310241699,
0.4339674711227417,
0.46138864755630493,
0.5774433612823486,
0.47513347864151,
0.35213741660118103,
0.48005425930023193,
0.3966864347457886,
0.5595046281814575,
0.4148039221763611,
0.6031079888343811,
0.6253746151924133,
0.4227603077888489
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Holistic Scene Understanding for 3D Object Detection with RGBD Cameras | [
"3 D Indoor Object Recognition by Holistic Scene Understanding",
"Scene recognition and weakly supervised object localization with deformable part-based models",
"CONDITIONAL RANDOM FIELDS FOR LIDAR POINT CLOUD CLASSIFICATION IN COMPLEX URBAN AREAS",
"DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding",
"Understanding Indoor Scenes Using 3D Geometric Phrases",
"Home Automation System ( HAS ) using Android for Mobile Phone",
"Ubiquitous sensing for smart and aware environments",
"IZA DP No . 3939 Reference Points and Effort Provision",
"Analyzing the Past to Prepare for the Future: Writing a Literature Review",
"Depression in Main Caregivers of Dementia Patients: Prevalence and Predictors",
"UIPicker: User-Input Privacy Identification in Mobile Applications",
"Continual Learning Through Synaptic Intelligence",
"A Survey on Routing in Anonymous Communication Protocols",
"Aspect-level opinion mining of online customer reviews",
"Learning Everything about Anything: Webly-Supervised Visual Concept Learning",
"The Adaptive Nature of Human Categorization",
"Towards Agile Model-based Systems Engineering",
"Defining the healthy \"core microbiome\" of oral microbial communities",
"BinaryConnect: Training Deep Neural Networks with binary weights during propagations",
"A Robust Voiced/Unvoiced Phoneme Classification from Whispered Speech Using the 'Color' of Whispered Phonemes and Deep Neural Network",
"Mental stress as consequence and cause of vision loss: the dawn of psychosomatic ophthalmology for preventive and personalized medicine",
"Cannabis and anxiety: a critical review of the evidence.",
"Plantar fascia-specific stretching exercise improves outcomes in patients with chronic plantar fasciitis. A prospective clinical trial with two-year follow-up.",
"Fingerprint authentication using geometric features",
"Cryptocurrency Mining - Transition to Cloud",
"Self-Correction of Commutation Point for High-Speed Sensorless BLDC Motor With Low Inductance and Nonideal Back EMF",
"Effective search space reduction for spell correction using character neural embeddings",
"Effective advertising and its influence on consumer buying behavior",
"High Confidence Visual Recognition of Persons by a Test of Statistical Independence",
"TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning"
] | [
0.9394865036010742,
0.8600729703903198,
0.8186143636703491,
0.897121787071228,
0.876859188079834,
0.8081355094909668,
0.8447338342666626,
0.7939902544021606,
0.7819768190383911,
0.7577935457229614,
0.8165989518165588,
0.8286430835723877,
0.7958785891532898,
0.787140965461731,
0.8367964029312134,
0.8114337921142578,
0.7997095584869385,
0.7973166108131409,
0.8275251388549805,
0.8285970091819763,
0.7814044952392578,
0.7922219634056091,
0.7518433332443237,
0.8341809511184692,
0.799735426902771,
0.7950843572616577,
0.8203376531600952,
0.7825130224227905,
0.8481636047363281,
0.8451876044273376
] | [
0.9402604103088379,
0.8401216268539429,
0.7989944219589233,
0.874738872051239,
0.8683277368545532,
0.7946298718452454,
0.8255550861358643,
0.7566646337509155,
0.7536138892173767,
0.7517482042312622,
0.7778980731964111,
0.7810440063476562,
0.758580207824707,
0.7684298157691956,
0.8022148609161377,
0.7857871651649475,
0.7738445997238159,
0.7649898529052734,
0.8007433414459229,
0.7922037839889526,
0.7696973085403442,
0.7478899955749512,
0.7274659872055054,
0.8161282539367676,
0.7792126536369324,
0.7731815576553345,
0.7744227051734924,
0.7513605952262878,
0.8127758502960205,
0.7933872938156128
] | [
0.915764570236206,
0.8173128962516785,
0.7864947319030762,
0.8600025177001953,
0.8485627174377441,
0.7688542604446411,
0.8133426904678345,
0.7440409064292908,
0.7494494915008545,
0.7203945517539978,
0.7643804550170898,
0.7769169211387634,
0.7438066005706787,
0.7588407397270203,
0.801165759563446,
0.7667667865753174,
0.7428951263427734,
0.7505325675010681,
0.7922390699386597,
0.7732064127922058,
0.7476664781570435,
0.7455770969390869,
0.7284471392631531,
0.7886315584182739,
0.7717980742454529,
0.7293488383293152,
0.7823788523674011,
0.7330412864685059,
0.7903883457183838,
0.799811601638794
] | [
0.8565077781677246,
0.7046893239021301,
0.6506761312484741,
0.7596627473831177,
0.7465481162071228,
0.36193984746932983,
0.5454744696617126,
0.3618006706237793,
0.39533182978630066,
0.3328831195831299,
0.4248170256614685,
0.5210412740707397,
0.3696310520172119,
0.4619566798210144,
0.59340500831604,
0.5158451199531555,
0.41222304105758667,
0.4161561131477356,
0.5791669487953186,
0.503008246421814,
0.3794885277748108,
0.32246243953704834,
0.2838844656944275,
0.5178011655807495,
0.42774420976638794,
0.34041351079940796,
0.4291936159133911,
0.3586970567703247,
0.5953084826469421,
0.5418615341186523
] | [
0.8155664801597595,
0.6473284959793091,
0.5613603591918945,
0.724789023399353,
0.6832764148712158,
0.26163601875305176,
0.4124012887477875,
0.29072487354278564,
0.2560892105102539,
0.2164248675107956,
0.2668115198612213,
0.38112467527389526,
0.19688965380191803,
0.3323860168457031,
0.5083951950073242,
0.4276653528213501,
0.2678261399269104,
0.27693885564804077,
0.47449883818626404,
0.3628745377063751,
0.20154771208763123,
0.17009404301643372,
0.1283298134803772,
0.40637660026550293,
0.3151571452617645,
0.22814249992370605,
0.3034404516220093,
0.20873957872390747,
0.4725722074508667,
0.4254157245159149
] | [
0.8594051003456116,
0.7048568725585938,
0.6485756039619446,
0.7705296277999878,
0.7474032640457153,
0.3882752060890198,
0.5667853355407715,
0.3853849768638611,
0.4378529191017151,
0.35796985030174255,
0.4515165686607361,
0.5440685749053955,
0.40220174193382263,
0.4819599390029907,
0.5995678901672363,
0.5519379377365112,
0.44304758310317993,
0.44589462876319885,
0.5989744067192078,
0.5261235237121582,
0.4054644703865051,
0.34681573510169983,
0.30945348739624023,
0.5336248874664307,
0.4461905360221863,
0.3732931613922119,
0.45075491070747375,
0.3858058452606201,
0.6089910864830017,
0.5637645125389099
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
End-to-End Dynamic Query Memory Network for Entity-Value Independent Task-Oriented Dialog | [
"Memory-augmented Dialogue Management for Task-oriented Dialogue Systems",
"Hierarchical Pointer Memory Network for Task Oriented Dialogue",
"An End-to-End Trainable Neural Network Model with Belief Tracking for Task-Oriented Dialog",
"Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes",
"Augmenting End-to-End Dialogue Systems With Commonsense Knowledge",
"The Unified Medical Language System (UMLS): integrating biomedical terminology",
"Learning to Explain Entity Relationships by Pairwise Ranking with Convolutional Neural Networks",
"Deep Learning for Generic Object Detection: A Survey",
"The Resource-Based View and Information Systems Research: Review, Extension, and Suggestions for Future Research",
"TritanDB: Time-series Rapid Internet of Things Analytics",
"Emerging Technologies and Applications on Interactive Entertainments",
"Statistical Evidence in Experimental Psychology: An Empirical Comparison Using 855 t Tests.",
"The Effect of Relaxation Exercises for the Masticator Muscles on Temporomandibular Joint Dysfunction (TMD)",
"Extending IEEE 802.1 AVB with time-triggered scheduling: A simulation study of the coexistence of synchronous and asynchronous traffic",
"Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction",
"Enhanced Characterness for Text Detection in the Wild",
"Hedonism , Achievement , and Power : Universal values that characterize the Dark Triad",
"Designing Highly Reliable Fiducial Markers",
"Machine Learning for Survival Analysis: A Survey",
"Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis",
"Security assessment framework for IoT service",
"Artificial intelligence in medicine.",
"Directivity Improvement of Vivaldi Antenna Using Double-Slot Structure",
"*SEM 2013 shared task: Semantic Textual Similarity",
"DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks",
"51 UNDERSTANDING AND APPROACH TO TREATMENT OF SCARS AND ADHESIONS",
"Design and Analysis of Compact Printed Triple Band-Notched UWB Antenna",
"War on Instagram: Framing conflict photojournalism with mobile photography apps",
"Differences in Perceived Parenting Style Between Mothers and Fathers : Implications for Child Outcomes and Marital Conflict"
] | [
0.8995810747146606,
0.9046766757965088,
0.9044533371925354,
0.8600334525108337,
0.8935865759849548,
0.812080442905426,
0.8550270199775696,
0.817070484161377,
0.8346736431121826,
0.8383821845054626,
0.8218796849250793,
0.8022342324256897,
0.8153810501098633,
0.8359558582305908,
0.84071946144104,
0.8258765935897827,
0.8020781874656677,
0.8037354350090027,
0.8136988282203674,
0.8253099918365479,
0.8156713247299194,
0.8039365410804749,
0.8049824833869934,
0.843414843082428,
0.8408611416816711,
0.7863065004348755,
0.7718542814254761,
0.8188447952270508,
0.7834842801094055
] | [
0.87543785572052,
0.8932830095291138,
0.898398756980896,
0.8560354113578796,
0.8632993698120117,
0.8076825141906738,
0.8352189064025879,
0.8003820180892944,
0.8135076761245728,
0.7971043586730957,
0.7875090837478638,
0.7999451756477356,
0.7840938568115234,
0.8100795745849609,
0.8152403831481934,
0.8154217600822449,
0.78378826379776,
0.7919297218322754,
0.7951383590698242,
0.8012943267822266,
0.7871098518371582,
0.8018174171447754,
0.7591619491577148,
0.8240751624107361,
0.8193739056587219,
0.7796679735183716,
0.7599660158157349,
0.7660760283470154,
0.7486584782600403
] | [
0.8920767307281494,
0.8922504782676697,
0.8827099204063416,
0.8380599021911621,
0.8507675528526306,
0.7889727354049683,
0.8216626048088074,
0.7889032363891602,
0.7759734392166138,
0.7944527864456177,
0.7874717712402344,
0.7769073247909546,
0.773521900177002,
0.7811483144760132,
0.8218531012535095,
0.7759289741516113,
0.7687159776687622,
0.7782583236694336,
0.7750440835952759,
0.7876203060150146,
0.7586367726325989,
0.7948078513145447,
0.7285803556442261,
0.793960690498352,
0.8026837706565857,
0.7446876764297485,
0.7217010259628296,
0.7543032169342041,
0.7440457344055176
] | [
0.8421417474746704,
0.8491154909133911,
0.8074237108230591,
0.6537091732025146,
0.7604724168777466,
0.5380538702011108,
0.6231576204299927,
0.5170962810516357,
0.4959735870361328,
0.4814513921737671,
0.5132167339324951,
0.43503934144973755,
0.34001266956329346,
0.3880573511123657,
0.6308952569961548,
0.5235612392425537,
0.3866698443889618,
0.4767382740974426,
0.43631190061569214,
0.5376355648040771,
0.36430296301841736,
0.508185088634491,
0.3301900625228882,
0.603535532951355,
0.5311001539230347,
0.3288722038269043,
0.2604588270187378,
0.4341503381729126,
0.3430483639240265
] | [
0.7886252403259277,
0.7924137115478516,
0.7781187295913696,
0.5300787091255188,
0.7202579975128174,
0.393164724111557,
0.5346652269363403,
0.40537917613983154,
0.34752291440963745,
0.29376763105392456,
0.3492307960987091,
0.2713972330093384,
0.19568854570388794,
0.2107120305299759,
0.5497168302536011,
0.40796974301338196,
0.24348393082618713,
0.3053884506225586,
0.2859664559364319,
0.41882866621017456,
0.18190808594226837,
0.38797110319137573,
0.169301837682724,
0.5051912665367126,
0.40302664041519165,
0.15605959296226501,
0.07081863284111023,
0.2585675120353699,
0.17672918736934662
] | [
0.8309255838394165,
0.8416037559509277,
0.8179714679718018,
0.6684792041778564,
0.7609267830848694,
0.5497444868087769,
0.6457849740982056,
0.5499018430709839,
0.5030566453933716,
0.4970940351486206,
0.5180023908615112,
0.46320223808288574,
0.35764288902282715,
0.41305920481681824,
0.6407564878463745,
0.553894579410553,
0.4326271116733551,
0.5095876455307007,
0.47384947538375854,
0.555578887462616,
0.38214653730392456,
0.5415419340133667,
0.3648362159729004,
0.624456524848938,
0.5636603236198425,
0.3438660502433777,
0.2907320559024811,
0.4605386257171631,
0.37896329164505005
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Neural Poetry Translation | [
"Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement",
"Chinese Poetry Generation with a Salient-Clue Mechanism",
"Metaphor as a Medium for Emotion: An Empirical Study",
"Creating Causal Embeddings for Question Answering with Minimal Supervision",
"Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering",
"Demystifying Incentives in the Consensus Computer",
"Inception Recurrent Convolutional Neural Network for Object Recognition",
"Designing a GDPR-Compliant and Usable Privacy Dashboard",
"TEACHER AGENCY IN CURRICULUM MAKING : AGENTS OF CHANGE AND SPACES FOR MANOEUVRE",
"Siamese Neural Networks for One-Shot Image Recognition",
"Artificial Intelligence and Big Data",
"An Enhanced Hypercube-Based Encoding for Evolving the Placement, Density, and Connectivity of Neurons",
"Cutting stock problems and solution procedures",
"SPATIAL INEQUALITY IN EDUCATION AND HEALTH CARE IN CHINA",
"Memory Networks for Recommendation",
"Probabilistic video stabilization using Kalman filtering and mosaicking",
"Conversational Exploratory Search via Interactive Storytelling",
"Development of the Learning Analytics Dashboard to Support Students' Learning Performance",
"The Gavagai Living Lexicon",
"Conditioning Deep Generative Raw Audio Models for Structured Automatic Music",
"Recommender systems in e-commerce",
"Network information flow",
"General Relativity in Electrical Engineering",
"An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition",
"Automatic detection and tracking of oil spills in SAR imagery with level set segmentation",
"Cellular architecture and key technologies for 5G wireless communication networks",
"A prototype electrical actuator for aircraft flaps and slats",
"Detecting Code Smells in Python Programs",
"Tabu Search for the Flexible-Routing Job Shop Problem",
"Object Detectors Emerge in Deep Scene CNNs"
] | [
0.8460636138916016,
0.8511627912521362,
0.7963764667510986,
0.7840386629104614,
0.8072247505187988,
0.7771574258804321,
0.8228012323379517,
0.7486530542373657,
0.7825038433074951,
0.8097673058509827,
0.7859299778938293,
0.8165996074676514,
0.7619438767433167,
0.763439416885376,
0.8066115975379944,
0.7463770508766174,
0.7996529936790466,
0.7665106058120728,
0.8205322623252869,
0.8136427402496338,
0.7707501649856567,
0.8147426843643188,
0.7864828109741211,
0.8343027830123901,
0.7556552290916443,
0.7656887769699097,
0.7849247455596924,
0.7927615642547607,
0.7893142700195312,
0.8036644458770752
] | [
0.836045503616333,
0.8390728235244751,
0.7953588962554932,
0.7925264239311218,
0.7890208959579468,
0.7745440006256104,
0.7891348600387573,
0.7629308700561523,
0.7424962520599365,
0.7963964939117432,
0.8127251863479614,
0.8034268617630005,
0.7599289417266846,
0.7368612289428711,
0.8063676953315735,
0.7574553489685059,
0.7873135805130005,
0.7441534996032715,
0.818274736404419,
0.8038666248321533,
0.7837018966674805,
0.8222877383232117,
0.7781829833984375,
0.8107418417930603,
0.7537907361984253,
0.774194598197937,
0.7629209756851196,
0.7965601682662964,
0.7762411832809448,
0.795310378074646
] | [
0.8463743925094604,
0.8341610431671143,
0.791504979133606,
0.7997098565101624,
0.7991350889205933,
0.7843647003173828,
0.82402503490448,
0.7683299779891968,
0.7332909107208252,
0.8048362731933594,
0.8123676776885986,
0.8005790114402771,
0.7344726920127869,
0.7185845375061035,
0.8093818426132202,
0.7578060626983643,
0.7868486046791077,
0.7408183217048645,
0.7952110767364502,
0.8087215423583984,
0.7722315192222595,
0.7843908071517944,
0.7784736156463623,
0.8181829452514648,
0.7442795634269714,
0.7745845317840576,
0.7474559545516968,
0.7995626926422119,
0.75905442237854,
0.8103099465370178
] | [
0.7488985061645508,
0.7485186457633972,
0.5503370761871338,
0.613422155380249,
0.5506734251976013,
0.4115462601184845,
0.6473130583763123,
0.3610358238220215,
0.37680190801620483,
0.6148959398269653,
0.49762070178985596,
0.5611917972564697,
0.35954755544662476,
0.3711200952529907,
0.5792080163955688,
0.4489874541759491,
0.49990183115005493,
0.3683179020881653,
0.5699038505554199,
0.63225257396698,
0.3974111080169678,
0.3844360113143921,
0.40982967615127563,
0.6718263626098633,
0.4479794502258301,
0.35602444410324097,
0.38741424679756165,
0.4488712251186371,
0.3843161463737488,
0.5599840879440308
] | [
0.675277590751648,
0.6660863161087036,
0.4371209740638733,
0.5221721529960632,
0.41504764556884766,
0.2750612795352936,
0.577754557132721,
0.2086976170539856,
0.24279247224330902,
0.5232288837432861,
0.37327244877815247,
0.4444951117038727,
0.2575138807296753,
0.2432277649641037,
0.4566398561000824,
0.30679136514663696,
0.3583728075027466,
0.24183642864227295,
0.47470617294311523,
0.5171075463294983,
0.24414587020874023,
0.2618725001811981,
0.29935500025749207,
0.6026419401168823,
0.280048668384552,
0.21941429376602173,
0.25955238938331604,
0.290833443403244,
0.24612361192703247,
0.4697459638118744
] | [
0.7434608936309814,
0.7465863227844238,
0.5638905763626099,
0.6308729648590088,
0.5650715231895447,
0.44517552852630615,
0.6601076722145081,
0.3907387852668762,
0.3979763984680176,
0.6337494850158691,
0.5202124118804932,
0.5778773427009583,
0.4001655578613281,
0.4116387963294983,
0.60737144947052,
0.4737390875816345,
0.5248075723648071,
0.39011290669441223,
0.6040985584259033,
0.6442533135414124,
0.43424874544143677,
0.4352322816848755,
0.4505425691604614,
0.6811789870262146,
0.47014719247817993,
0.39206627011299133,
0.41983237862586975,
0.47183358669281006,
0.4261292815208435,
0.5822350978851318
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Principles of survey research: part 5: populations and samples | [
"Principles of survey research part 2: designing a survey",
"Best Practices for Measuring Students’ Attitudes toward Learning Science",
"Principles of survey research: part 3: constructing a survey instrument",
"Principles of survey research part 4: questionnaire evaluation",
"Principles of survey research part 6: data analysis",
"STRATEGIC COMMUNICATION WITH LYING COSTS",
"Reflection and reflective practice in health professions education: a systematic review.",
"Measuring abstract reasoning in neural networks",
"A vision of smarter cities How cities can lead the way into a prosperous and sustainable future",
"Neural Text Embeddings for Information Retrieval",
"Touch-less fingerphoto feature extraction, analysis and matching using monogenic wavelets",
"Virtual machines vs. containers in cloud gaming systems",
"Reading words in discourse: the modulation of lexical priming effects by message-level context.",
"Activity, dietary intake, and weight changes in a longitudinal study of preadolescent and adolescent boys and girls.",
"Actor-Critic Policy Optimization in Partially Observable Multiagent Environments",
"Reinforcement Learning of Theorem Proving",
"Creativity: Generating Diverse Questions Using Variational Autoencoders",
"Kernel Region ( a ) Top Level ( b ) Compute Unit Level ( c ) Processing Element Level",
"Graph Convolutional Neural Networks for Web-Scale Recommender Systems",
"Dual Density Operators and Natural Language Meaning",
"A Submicrowatt 1.1-MHz CMOS Relaxation Oscillator With Temperature Compensation",
"qp : A Tool for Generating 3 D Models of Ancient Greek Pottery",
"Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud",
"Analysis and Prediction of Question Topic Popularity in Community Q&A Sites: A Case Study of Quora",
"Semantic Stereo for Incidental Satellite Images",
"From System Dynamics and Discrete Event to Practical Agent Based Modeling : Reasons , Techniques , Tools",
"The digital scribe",
"Patient Privacy in Paralinguistic Tasks",
"Information Dropout: Learning Optimal Representations Through Noisy Computation",
"Transformer to CNN: Label-scarce distillation for efficient text classification"
] | [
0.9305042028427124,
0.8357537984848022,
0.9284745454788208,
0.928743302822113,
0.9342352151870728,
0.7899590730667114,
0.8144705295562744,
0.7987461686134338,
0.8196587562561035,
0.7881998419761658,
0.7942692041397095,
0.7715672254562378,
0.8085376620292664,
0.8181495666503906,
0.7875702381134033,
0.8145599365234375,
0.825822114944458,
0.8134011626243591,
0.7937424182891846,
0.8033692836761475,
0.7642724514007568,
0.8152614831924438,
0.8298193216323853,
0.8477535247802734,
0.7714505195617676,
0.8061506152153015,
0.766160249710083,
0.8084830045700073,
0.8052409887313843,
0.7911100387573242
] | [
0.91956627368927,
0.8129775524139404,
0.9070640206336975,
0.9174810647964478,
0.9407460689544678,
0.7733281254768372,
0.8076170682907104,
0.7713224291801453,
0.8032470941543579,
0.7613398432731628,
0.7778803110122681,
0.7575176954269409,
0.7913563251495361,
0.811384916305542,
0.7595372200012207,
0.7859848737716675,
0.7901502251625061,
0.7804673910140991,
0.7629717588424683,
0.7949177622795105,
0.7419321537017822,
0.7673418521881104,
0.7925583720207214,
0.8156750798225403,
0.76594078540802,
0.7865508198738098,
0.7655100226402283,
0.7923890352249146,
0.7835713624954224,
0.7711342573165894
] | [
0.9262941479682922,
0.801729679107666,
0.9158737659454346,
0.9019463658332825,
0.9346218109130859,
0.7716915607452393,
0.8001513481140137,
0.7513182163238525,
0.8117418885231018,
0.7702016830444336,
0.7546212077140808,
0.7723978161811829,
0.7749788761138916,
0.7987642288208008,
0.7363715171813965,
0.7787528038024902,
0.8009412288665771,
0.7928382158279419,
0.7657556533813477,
0.7944091558456421,
0.7165195941925049,
0.7723416090011597,
0.8114216327667236,
0.7937970161437988,
0.7401596307754517,
0.7718467116355896,
0.7756324410438538,
0.7825911045074463,
0.7836217284202576,
0.7691903710365295
] | [
0.8412073850631714,
0.5875788331031799,
0.8145033121109009,
0.8004318475723267,
0.8416129350662231,
0.4996449053287506,
0.5223027467727661,
0.4639744162559509,
0.4850674271583557,
0.3951879143714905,
0.45462915301322937,
0.4597609043121338,
0.4810890555381775,
0.5660616755485535,
0.4357043504714966,
0.3958016037940979,
0.5198455452919006,
0.5006935596466064,
0.4164203405380249,
0.470520555973053,
0.3982837200164795,
0.48580336570739746,
0.5575422048568726,
0.5888444185256958,
0.418420672416687,
0.4945727288722992,
0.4526404142379761,
0.5417662858963013,
0.45202648639678955,
0.4148765504360199
] | [
0.830206036567688,
0.5136261582374573,
0.7952620983123779,
0.7807598114013672,
0.833683967590332,
0.3581635057926178,
0.3897732198238373,
0.3156113028526306,
0.39421993494033813,
0.2491484433412552,
0.35020992159843445,
0.3383120894432068,
0.3552677631378174,
0.4365829825401306,
0.2856872081756592,
0.23794184625148773,
0.3805389106273651,
0.4121471643447876,
0.26427096128463745,
0.3401806056499481,
0.2537556290626526,
0.3610879182815552,
0.42807796597480774,
0.4731404483318329,
0.31693682074546814,
0.35293298959732056,
0.37496545910835266,
0.4327886700630188,
0.30451977252960205,
0.2928166687488556
] | [
0.8541361093521118,
0.6206018328666687,
0.829128623008728,
0.8150522708892822,
0.8504363298416138,
0.5379467010498047,
0.5487011671066284,
0.5058236122131348,
0.523523211479187,
0.42625144124031067,
0.5052578449249268,
0.5172305107116699,
0.5206915140151978,
0.5792722105979919,
0.48861628770828247,
0.4519416093826294,
0.5458024740219116,
0.5177597999572754,
0.45224839448928833,
0.5134047269821167,
0.4442000389099121,
0.5414435863494873,
0.6029046177864075,
0.6186492443084717,
0.461261510848999,
0.54985511302948,
0.5274980068206787,
0.5762051343917847,
0.4998723268508911,
0.44927912950515747
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Multimedia Proxy Caching Mechanism for Quality Adaptive Streaming Applications in the Internet | [
"Buffer Sharing in Video-On-Demand Servers",
"Multimedia communication",
"RAP: An End-to-End Rate-Based Congestion Control Mechanism for Realtime Streams in the Internet",
"Continuous Media Sharing in Multimedia Database Systems",
"Subject: Design Considerations for an Rtsp-based Preex-caching Proxy for Multimedia Streams Design Considerations for an Rtsp-based Preex-caching Proxy for Multimedia Streams 2",
"Social Image Captioning: Exploring Visual Attention and User Attention",
"Challenges of Implementing E-Learning in Kenya : A Case of Kenyan Public Universities",
"A novel low-power, low-offset, and high-speed CMOS dynamic latched comparator",
"The Sources and Consequences of Mobile Technostress in the Workplace",
"Using Generative Adversarial Networks to Design Shoes : The Preliminary Steps",
"Capacitor Bank Designing for Power Factor Improvement",
"Simulation and Analysis of Perturb and Observe MPPT Algorithm for PV Array Using Ċ UK Converter",
"A Deep Learning Approach to Machine Transliteration",
"Adversarial Meta-Learning",
"Model-Based Design Structure Matrix : Deriving a DSM from an Object-Process Model",
"Cloud Computing Research and Development Trend",
"An Exploratory Examination of the Association Between Altered Lumbar Motor Control, Joint Mobility and Low Back Pain in Athletes",
"Paternal Perinatal Depression Assessed by the Edinburgh Postnatal Depression Scale and the Gotland Male Depression Scale: Prevalence and Possible Risk Factors",
"Online Contrastive Divergence with Generative Replay: Experience Replay without Storing Data",
"On the widespread and critical impact of systematic bias and batch effects in single-cell RNA-Seq data",
"Modularity and Innovation in Complex Systems",
"A deep learning framework for unsupervised affine and deformable image registration",
"A Brief History and Recent Achievements in Bidirectional Search",
"Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis",
"Systematic literature reviews in software engineering - A systematic literature review",
"Information Security Threats Classification Pyramid",
"Analysis of Hotel Guest Satisfaction Ratings and Reviews : An Application in Singapore",
"Social Network Analysis and Information Propagation: A Case Study Using Flickr and YouTube Networks",
"In Defense of the Triplet Loss for Person Re-Identification",
"A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning"
] | [
0.8527820706367493,
0.8562796115875244,
0.8763399124145508,
0.8610655069351196,
0.8704102039337158,
0.8008652925491333,
0.811821460723877,
0.8024125099182129,
0.8028919100761414,
0.822375476360321,
0.7787532806396484,
0.7914261817932129,
0.8164188861846924,
0.8247331380844116,
0.8218680620193481,
0.8024934530258179,
0.7922776937484741,
0.7806049585342407,
0.8310908079147339,
0.7993614673614502,
0.8011067509651184,
0.8103586435317993,
0.8077657222747803,
0.8028773665428162,
0.820336639881134,
0.7854827046394348,
0.8035925626754761,
0.8333244323730469,
0.7946577072143555,
0.8068296909332275
] | [
0.8174724578857422,
0.8218744993209839,
0.8501937389373779,
0.8165700435638428,
0.865246057510376,
0.7916059494018555,
0.7586988210678101,
0.7791749238967896,
0.778244137763977,
0.7593531012535095,
0.769044041633606,
0.7846526503562927,
0.7802674770355225,
0.7826793789863586,
0.7666211128234863,
0.7902368307113647,
0.7509549260139465,
0.7348684072494507,
0.7976233959197998,
0.7683306336402893,
0.7688215374946594,
0.7770390510559082,
0.790277361869812,
0.7744933366775513,
0.778910219669342,
0.7789562344551086,
0.7640913724899292,
0.805550217628479,
0.7776142358779907,
0.7721275091171265
] | [
0.8194026947021484,
0.791179895401001,
0.8346371650695801,
0.8095954656600952,
0.8427092432975769,
0.7537084817886353,
0.7619154453277588,
0.7506635189056396,
0.7583658695220947,
0.7503925561904907,
0.7535834312438965,
0.7529910206794739,
0.7256814241409302,
0.7241121530532837,
0.7699376344680786,
0.7682462930679321,
0.7193065881729126,
0.722917377948761,
0.789665937423706,
0.7445793151855469,
0.7467314004898071,
0.7562923431396484,
0.7601081132888794,
0.7686512470245361,
0.7586966753005981,
0.7661013603210449,
0.7685003876686096,
0.7677260637283325,
0.7701531648635864,
0.7578667402267456
] | [
0.7572703957557678,
0.667025089263916,
0.74889075756073,
0.7127254009246826,
0.7843025922775269,
0.44837257266044617,
0.4843427538871765,
0.3719979524612427,
0.40668821334838867,
0.4177648425102234,
0.3794879913330078,
0.41098999977111816,
0.3897247910499573,
0.49452728033065796,
0.40568310022354126,
0.5630053877830505,
0.3127468228340149,
0.276954710483551,
0.4724158048629761,
0.38811856508255005,
0.45049530267715454,
0.3459857106208801,
0.5349708199501038,
0.4280991554260254,
0.4869200587272644,
0.4170871376991272,
0.4602689743041992,
0.5107685327529907,
0.41253662109375,
0.4003576934337616
] | [
0.7003247737884521,
0.5506080389022827,
0.6758595108985901,
0.638854444026947,
0.8213694095611572,
0.29305559396743774,
0.3710482120513916,
0.22678586840629578,
0.24809031188488007,
0.2686033844947815,
0.19738152623176575,
0.2643311619758606,
0.23265919089317322,
0.3407719135284424,
0.24404963850975037,
0.4316772222518921,
0.16657796502113342,
0.1240805834531784,
0.38661277294158936,
0.2682265639305115,
0.3119557499885559,
0.21430814266204834,
0.4079582095146179,
0.27113109827041626,
0.34681838750839233,
0.2517853081226349,
0.3028169274330139,
0.3639388084411621,
0.2448125183582306,
0.25872567296028137
] | [
0.7517575621604919,
0.6780903339385986,
0.7447894811630249,
0.7160761952400208,
0.755605161190033,
0.4697529971599579,
0.5061123371124268,
0.42290449142456055,
0.4512098431587219,
0.45885318517684937,
0.4328795075416565,
0.4518088102340698,
0.43125689029693604,
0.5303402543067932,
0.45063483715057373,
0.5836101174354553,
0.3465607762336731,
0.3262181580066681,
0.49707090854644775,
0.42181769013404846,
0.48881995677948,
0.393049955368042,
0.548444390296936,
0.4755490720272064,
0.5188078284263611,
0.44592219591140747,
0.4963349401950836,
0.5376367568969727,
0.4482041299343109,
0.4406416714191437
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Table Cell Search for Question Answering | [
"TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation",
"Character-Level Question Answering with Attention",
"TabVec: Table Vectors for Classification of Web Tables",
"Open-Ended Visual Question-Answering",
"Speech-Based Visual Question Answering",
"Deep Convolution Networks for Compression Artifacts Reduction",
"Sentiment Embeddings with Applications to Sentiment Analysis",
"Spanner: Google's Globally Distributed Database",
"Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis",
"Automatic conversion of IFC datasets to geometrically and semantically correct CityGML LOD3 buildings",
"Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations",
"LIFTING LINE METHOD FOR MODELLING COVERING AND BLANKETING EFFECTS FOR YACHT FLEET RACE SIMULATION",
"DeepTransport: Prediction and Simulation of Human Mobility and Transportation Mode at a Citywide Level",
"RFID security and privacy: a research survey",
"GERBIL - Benchmarking Named Entity Recognition and Linking consistently",
"LieNet: Real-time Monocular Object Instance 6D Pose Estimation",
"Randomized Trial of Verubecestat for Mild-to-Moderate Alzheimer's Disease.",
"From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0",
"Modified Playfair Cipher using Rectangular Matrix",
"Keyword Extraction and Clustering for Document Recommendation in Conversations",
"Automatic Learning of Combat Models for RTS Games",
"How to Address the Data Quality Issues in Regression Models: A Guided Process for Data Cleaning",
"An overview of lactic acid bacteria.",
"Transitioning between Convolutional and Fully Connected Layers in Neural Networks",
"Software visualization tools and techniques: A systematic review of the literature",
"Luke, I am Your Father: Dealing with Out-of-Domain Requests by Using Movies Subtitles",
"Inverse Fractional Knapsack Problem with Profits and Costs Modification",
"Hypervisor-vs . Container-based Virtualization",
"Strategic integration of knowledge management and customer relationship management",
"Structural Topic Model for Latent Topical Structure Analysis"
] | [
0.8551595211029053,
0.8929368257522583,
0.8743085861206055,
0.8906908631324768,
0.8987712264060974,
0.8107189536094666,
0.8273850679397583,
0.8410851955413818,
0.821212649345398,
0.8219054937362671,
0.8182294368743896,
0.7965483069419861,
0.7961954474449158,
0.8115820288658142,
0.808224081993103,
0.8054084777832031,
0.8211680054664612,
0.8289380073547363,
0.834408700466156,
0.8514276146888733,
0.8210076093673706,
0.842499852180481,
0.8195661306381226,
0.8062506318092346,
0.8057777881622314,
0.8230957984924316,
0.8252872228622437,
0.8108381628990173,
0.7987616062164307,
0.8518189191818237
] | [
0.8174564838409424,
0.8918389081954956,
0.8426069021224976,
0.8751221895217896,
0.8670358061790466,
0.7968161702156067,
0.8054987192153931,
0.8244057893753052,
0.7975537776947021,
0.8019344806671143,
0.7979055047035217,
0.7849963903427124,
0.7867392897605896,
0.7924374341964722,
0.8240103721618652,
0.7885943055152893,
0.7969419360160828,
0.8080673217773438,
0.8022658824920654,
0.8271873593330383,
0.806405246257782,
0.8189675807952881,
0.791438639163971,
0.7789902687072754,
0.7844793796539307,
0.8184848427772522,
0.772189736366272,
0.787273645401001,
0.7883480787277222,
0.8258015513420105
] | [
0.818570613861084,
0.8784558773040771,
0.8421323895454407,
0.8654276728630066,
0.8581103086471558,
0.7973482608795166,
0.8080730438232422,
0.8083834648132324,
0.8014529943466187,
0.7691804766654968,
0.7905672788619995,
0.7646728754043579,
0.779859721660614,
0.7870306968688965,
0.8153507709503174,
0.7871312499046326,
0.7922945022583008,
0.7791779041290283,
0.7976604700088501,
0.8095806837081909,
0.7840964794158936,
0.7924396991729736,
0.7873250842094421,
0.7877563238143921,
0.7607983350753784,
0.8063809871673584,
0.7683718204498291,
0.788841962814331,
0.7701588869094849,
0.8074303865432739
] | [
0.5517625212669373,
0.707115650177002,
0.6692285537719727,
0.6745383143424988,
0.667697012424469,
0.37221917510032654,
0.46736276149749756,
0.4932461380958557,
0.47636741399765015,
0.4425009787082672,
0.41267162561416626,
0.34633368253707886,
0.35138967633247375,
0.363122820854187,
0.5839748382568359,
0.3577747941017151,
0.41700297594070435,
0.41532617807388306,
0.4145617187023163,
0.5930448770523071,
0.4434853494167328,
0.4447081685066223,
0.40690380334854126,
0.4155440032482147,
0.4097471237182617,
0.49580657482147217,
0.41916966438293457,
0.308694452047348,
0.39747732877731323,
0.5396538972854614
] | [
0.4981860816478729,
0.6643707752227783,
0.6662455797195435,
0.6439108848571777,
0.6169756054878235,
0.3022196292877197,
0.35314658284187317,
0.4607207775115967,
0.4132627546787262,
0.37009501457214355,
0.338045597076416,
0.27380818128585815,
0.2723945677280426,
0.23464065790176392,
0.528211236000061,
0.3111530542373657,
0.33493757247924805,
0.308928906917572,
0.3073609173297882,
0.5065140724182129,
0.36589115858078003,
0.36383718252182007,
0.2842254638671875,
0.35315054655075073,
0.29722392559051514,
0.4092260003089905,
0.3344416618347168,
0.250149667263031,
0.29957714676856995,
0.45669376850128174
] | [
0.5854440331459045,
0.7127588391304016,
0.6920048594474792,
0.6831555366516113,
0.681446373462677,
0.44499820470809937,
0.49965381622314453,
0.5338234901428223,
0.5109879970550537,
0.4928402006626129,
0.4640600085258484,
0.4024638235569,
0.41126948595046997,
0.3893355429172516,
0.6077097058296204,
0.4237450957298279,
0.4560813903808594,
0.45588889718055725,
0.45332443714141846,
0.6092829704284668,
0.49248239398002625,
0.493813693523407,
0.43499457836151123,
0.4769364595413208,
0.4490431547164917,
0.5342205166816711,
0.4606553316116333,
0.37306714057922363,
0.41874217987060547,
0.560347855091095
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
The Interplay of Bayesian and Frequentist Analysis ∗ | [
"Précis of statistical significance: rationale, validity, and utility.",
"Bayesian Versus Orthodox Statistics: Which Side Are You On?",
"Alphabet Soup Blurring the Distinctions Between p ’ s and a ’ s in Psychological Research",
"Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks",
"End-to-end Differentiable Proving",
"A quantitative stock prediction system based on financial news",
"Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange",
"Dilated Recurrent Neural Networks",
"Using PMU Data to Increase Situational Awareness Final Project Report",
"Energy Harvesting Wireless Communications: A Review of Recent Advances",
"Image Manipulation Detection using Deep Learning in Tensor Flow",
"A Framework for Real-time Path Planning in Changing Environments",
"Conceptual Metaphor Theory and Teaching of English and Chinese Idioms",
"Dialogue Session Segmentation by Embedding-Enhanced TextTiling",
"Social Media Intermediation Robot for Elderly People Using External Cloud-Based Services",
"Trust in e-commerce vendors: a two-stage model",
"M2E-Try On Net: Fashion from Model to Everyone",
"Comparametric equations with practical applications in quantigraphic image processing",
"A Proposed Digital Forensics Business Model to Support Cybercrime Investigation in Indonesia",
"Design of an Underactuated Compliant Gripper for Surgery using Nitinol",
"Super Resolution of Images and Video",
"Human Tracking Using Convolutional Neural Networks",
"Visual inertial odometry for quadrotors on SE(3)",
"Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer’s Disease Prediction From Mild Cognitive Impairment",
"Applications of Deep Learning to Sentiment Analysis of Movie Reviews",
"Technology Ecosystem Governance",
"Enhancing the security of user data using the keyword encryption and hybrid cryptographic algorithm in cloud"
] | [
0.8298643827438354,
0.8514974117279053,
0.824060320854187,
0.7817306518554688,
0.8155455589294434,
0.832414984703064,
0.8095072507858276,
0.8059630393981934,
0.793627142906189,
0.7870421409606934,
0.7842524647712708,
0.8153793215751648,
0.7855242490768433,
0.7981052994728088,
0.7797718048095703,
0.8065648078918457,
0.7669565081596375,
0.8207390904426575,
0.803186297416687,
0.7719358205795288,
0.7937646508216858,
0.7857080698013306,
0.794816255569458,
0.8032134771347046,
0.807336688041687,
0.7370134592056274,
0.7932276725769043
] | [
0.8238974809646606,
0.847321093082428,
0.8302505016326904,
0.7551119327545166,
0.8151439428329468,
0.775452733039856,
0.7785950899124146,
0.7902442216873169,
0.7757860422134399,
0.7907254099845886,
0.7699285745620728,
0.7724254131317139,
0.7762344479560852,
0.7708454728126526,
0.7654387354850769,
0.7812793254852295,
0.7626981735229492,
0.8144317269325256,
0.7684383392333984,
0.7499395608901978,
0.7946147918701172,
0.7792176008224487,
0.7811744213104248,
0.783076286315918,
0.7670519948005676,
0.733104944229126,
0.7814199328422546
] | [
0.7959061861038208,
0.8261692523956299,
0.7969391942024231,
0.7501335144042969,
0.77265465259552,
0.7558228969573975,
0.7419776916503906,
0.7836281061172485,
0.759752094745636,
0.7427797317504883,
0.7477836012840271,
0.7584238052368164,
0.7404764294624329,
0.7435204386711121,
0.7448698282241821,
0.727361261844635,
0.7448694705963135,
0.7706959843635559,
0.7565193176269531,
0.7289801836013794,
0.7690954208374023,
0.734216570854187,
0.7549872398376465,
0.7753751277923584,
0.756434440612793,
0.7175321578979492,
0.7348123788833618
] | [
0.7182881832122803,
0.8095060586929321,
0.6081383228302002,
0.45712488889694214,
0.524637758731842,
0.5834089517593384,
0.5518596768379211,
0.5307040214538574,
0.5354810953140259,
0.41463392972946167,
0.4349101185798645,
0.483116090297699,
0.44914644956588745,
0.472086101770401,
0.4405137896537781,
0.5111547708511353,
0.4587552547454834,
0.5679376721382141,
0.41731560230255127,
0.414876788854599,
0.5036575198173523,
0.46163633465766907,
0.44753146171569824,
0.48086461424827576,
0.47405630350112915,
0.45980843901634216,
0.4233369827270508
] | [
0.6118444204330444,
0.7973357439041138,
0.49093693494796753,
0.3029034733772278,
0.3950875997543335,
0.4573080539703369,
0.421363890171051,
0.389702171087265,
0.41614821553230286,
0.2282886505126953,
0.275848925113678,
0.3258984684944153,
0.29742205142974854,
0.32420647144317627,
0.2668294310569763,
0.3376498222351074,
0.34525471925735474,
0.4400012493133545,
0.2826475501060486,
0.26582100987434387,
0.36044126749038696,
0.2882855236530304,
0.3151998519897461,
0.32893234491348267,
0.30370819568634033,
0.3058944344520569,
0.2548165023326874
] | [
0.7379347085952759,
0.8214452266693115,
0.643712043762207,
0.49780482053756714,
0.5624146461486816,
0.6078541278839111,
0.5761886835098267,
0.5584255456924438,
0.5618457198143005,
0.4426517188549042,
0.4749036431312561,
0.5135295987129211,
0.49780741333961487,
0.5074437856674194,
0.4774280786514282,
0.5429545640945435,
0.5185174942016602,
0.5940325260162354,
0.4571119248867035,
0.4534960389137268,
0.5485188961029053,
0.5058267116546631,
0.4885602593421936,
0.4994155764579773,
0.5050340890884399,
0.490837037563324,
0.46211549639701843
] | [
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
New Metrics and Experimental Paradigms for Continual Learning | [
"Generative replay with feedback connections as a general strategy for continual learning",
"Don't forget, there is more than forgetting: new metrics for Continual Learning",
"Towards Robust Evaluations of Continual Learning",
"FORGETTING BY MAXIMIZING TRANSFER AND MINIMIZING INTERFERENCE",
"Partitioned Variational Inference: A unified framework encompassing federated and continual learning",
"Automatic breast ultrasound image segmentation: A survey",
"Pay-per-Question: Towards Targeted Q&A with Payments",
"Sleep deprivation and clinical performance.",
"A New Softmax Operator for Reinforcement Learning",
"Estimating Trade Flows : Trading Partners and Trading Volumes",
"Pixel-wise Attentional Gating for Parsimonious Pixel Labeling",
"Streaming video over the Internet: approaches and directions",
"Understanding the Demographics of Twitter Users",
"MUTE: Majority under-sampling technique",
"An Analysis of Encoder Representations in Transformer-Based Machine Translation",
"Kernel Region ( a ) Top Level ( b ) Compute Unit Level ( c ) Processing Element Level",
"Towards an IoT Big Data Analytics Framework: Smart Buildings Systems",
"A brief review: factors affecting the length of the rest interval between resistance exercise sets.",
"Feedback and reflection: teaching methods for clinical settings.",
"Efficacy and safety of over-the-counter whitening strips as compared to home-whitening with 10 % carbamide peroxide gel—systematic review of RCTs and metanalysis",
"Big data, advanced analytics and the future of comparative effectiveness research.",
"Direction matters: Depth estimation with a surface normal classifier",
"What Does Classifying More Than 10, 000 Image Categories Tell Us?",
"NEUROCIRCUITRY OF ADDICTION",
"Phytoremediation: synergistic use of plants and bacteria to clean up the environment.",
"Learning to Compute Word Embeddings On the Fly",
"Learning Structured Embeddings of Knowledge Bases",
"Proportional-resonant controllers and filters for grid-connected voltage-source converters",
"Mobile learning and integration of mobile technologies in education",
"Bleu: a Method for Automatic Evaluation of Machine Translation"
] | [
0.8692209124565125,
0.9075306057929993,
0.9028371572494507,
0.8179823160171509,
0.8730959296226501,
0.7850333452224731,
0.8185923099517822,
0.8016359210014343,
0.8521419763565063,
0.814627468585968,
0.8156530857086182,
0.7987875938415527,
0.8115836381912231,
0.8313950896263123,
0.8126161098480225,
0.8087564706802368,
0.8222971558570862,
0.8267726898193359,
0.8252324461936951,
0.8081856369972229,
0.8523702621459961,
0.8215230107307434,
0.8044618964195251,
0.7992628812789917,
0.7917055487632751,
0.8346801996231079,
0.8507773280143738,
0.7959331274032593,
0.8303220272064209,
0.8199513554573059
] | [
0.8560630083084106,
0.9069351553916931,
0.8864536285400391,
0.8255492448806763,
0.8539562225341797,
0.77713942527771,
0.8130697011947632,
0.7898633480072021,
0.833401083946228,
0.7937498092651367,
0.787402868270874,
0.8097779750823975,
0.7847731113433838,
0.7927413582801819,
0.7911403179168701,
0.7974545955657959,
0.7964271903038025,
0.7994400262832642,
0.8252438902854919,
0.7777667045593262,
0.8163903951644897,
0.8154608607292175,
0.8089115619659424,
0.7937554121017456,
0.7534714937210083,
0.8336940407752991,
0.8275047540664673,
0.7669111490249634,
0.8198026418685913,
0.8018993735313416
] | [
0.8450400829315186,
0.8932318091392517,
0.8516848087310791,
0.7991731762886047,
0.847062885761261,
0.7639452219009399,
0.7981952428817749,
0.7873762845993042,
0.8069800138473511,
0.7856735587120056,
0.8025689125061035,
0.7928941249847412,
0.7850162982940674,
0.7954800128936768,
0.7754143476486206,
0.797469973564148,
0.7818009853363037,
0.77457594871521,
0.8187931776046753,
0.7638826370239258,
0.8248263597488403,
0.7956738471984863,
0.8117918968200684,
0.7844271659851074,
0.7707255482673645,
0.7943832874298096,
0.7985641360282898,
0.779664933681488,
0.8061414957046509,
0.7889919281005859
] | [
0.8352363705635071,
0.9383997917175293,
0.8819583654403687,
0.7313363552093506,
0.7078759670257568,
0.5329901576042175,
0.5448341369628906,
0.46985629200935364,
0.669309139251709,
0.470004677772522,
0.6216421127319336,
0.49444860219955444,
0.4891940951347351,
0.6223699450492859,
0.5517736673355103,
0.4916851818561554,
0.5437859892845154,
0.4765051603317261,
0.5684440732002258,
0.4019639492034912,
0.5422627329826355,
0.562859296798706,
0.6214258670806885,
0.4987453818321228,
0.42357730865478516,
0.6287141442298889,
0.6090323328971863,
0.4144545793533325,
0.5396558046340942,
0.5755069255828857
] | [
0.7963727116584778,
0.9348578453063965,
0.8840371370315552,
0.6200953125953674,
0.623816728591919,
0.38370776176452637,
0.38108980655670166,
0.3242167830467224,
0.5386659502983093,
0.2964177131652832,
0.501340389251709,
0.3146466016769409,
0.32036346197128296,
0.4923860430717468,
0.3939445912837982,
0.3782734274864197,
0.41160279512405396,
0.3469894528388977,
0.43025094270706177,
0.248020201921463,
0.434581458568573,
0.42582473158836365,
0.5168956518173218,
0.3388882279396057,
0.22315824031829834,
0.5002383589744568,
0.46329647302627563,
0.218052476644516,
0.36499109864234924,
0.4233747720718384
] | [
0.836336612701416,
0.9392690062522888,
0.8864866495132446,
0.7451796531677246,
0.7219709753990173,
0.5593486428260803,
0.5905157327651978,
0.5101192593574524,
0.6904381513595581,
0.5252914428710938,
0.6353292465209961,
0.5381287336349487,
0.5287253260612488,
0.645218014717102,
0.5802960991859436,
0.48319095373153687,
0.5593199729919434,
0.5132600665092468,
0.5916299819946289,
0.4366453289985657,
0.5598740577697754,
0.5852869749069214,
0.6474244594573975,
0.5203607678413391,
0.4584963023662567,
0.6406399607658386,
0.6292195916175842,
0.4525388777256012,
0.5645737051963806,
0.6050763130187988
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Graph HyperNetworks for Neural Architecture Search | [
"DARTS: Differentiable Architecture Search",
"InstaNAS: Instance-aware Neural Architecture Search",
"Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution",
"ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware",
"Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search",
"Pose Guided Person Image Generation",
"Starbucks Canada: The Mobile Payments Decision",
"Adolescent brain development",
"Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer",
"Antibiotic Use in Agriculture and Its Consequential Resistance in Environmental Sources: Potential Public Health Implications",
"An Empirical Analysis of Phishing Blacklists",
"Stacked Cross Attention for Image-Text Matching",
"Analysing the visual dynamics of spatial morphology",
"Matplotlib: A 2D Graphics Environment",
"Factors Affecting Adoption of Electronic Banking System in Ethiopian Banking Industry",
"Tall Buildings and Urban Habitat of the 21 st Century : A Global Perspective",
"Agile User Experience Development in a Large Software Organization: Good Expertise but Limited Impact",
"Sealed-Glass Proofs: Using Transparent Enclaves to Prove and Sell Knowledge",
"Social media analytics: a survey of techniques, tools and platforms",
"Beyond beliefs: religions bind individuals into moral communities.",
"Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting",
"Proofs of Work and Bread Pudding Protocols",
"Peer Coaching Through mHealth Targeting Physical Activity in People With Parkinson Disease: Feasibility Study",
"Architectural Tactics for Big Data Cybersecurity Analytic Systems: A Review",
"Extending satellite remote sensing to local scales : land and water resource monitoring using high-resolution imagery",
"Making a Point with Pointer Networks : Arranging Shuffled Stories",
"Performance of recommender algorithms on top-n recommendation tasks",
"Plastics, the environment and human health: current consensus and future trends.",
"Active video games to promote physical activity in children and youth: a systematic review.",
"The Anatomy of Big Data Computing"
] | [
0.8782382011413574,
0.9000213146209717,
0.9010971784591675,
0.905529260635376,
0.919844388961792,
0.8108829259872437,
0.767227292060852,
0.8071384429931641,
0.8031901121139526,
0.771540641784668,
0.8054606318473816,
0.8233124613761902,
0.8029327392578125,
0.8354321122169495,
0.7798369526863098,
0.8014348745346069,
0.7890059351921082,
0.8243830800056458,
0.8044780492782593,
0.7542147636413574,
0.8759813904762268,
0.7949135303497314,
0.7857792377471924,
0.8513743877410889,
0.7942394018173218,
0.8333649039268494,
0.8305222392082214,
0.7726806402206421,
0.7673598527908325,
0.8415536880493164
] | [
0.8572720289230347,
0.8571231365203857,
0.867457389831543,
0.8689061403274536,
0.8610630035400391,
0.7706174850463867,
0.7363637685775757,
0.7596874833106995,
0.7884610295295715,
0.7184549570083618,
0.7742976546287537,
0.8197219967842102,
0.7971168160438538,
0.8133870363235474,
0.7268872261047363,
0.7629202604293823,
0.7604097723960876,
0.789584219455719,
0.7733144760131836,
0.7399395108222961,
0.843123733997345,
0.7729315757751465,
0.7671365141868591,
0.812936544418335,
0.7395801544189453,
0.7889005541801453,
0.7835671305656433,
0.7552276849746704,
0.7626949548721313,
0.7940727472305298
] | [
0.8533331155776978,
0.8632378578186035,
0.8694290518760681,
0.8615506887435913,
0.8900331258773804,
0.7695202827453613,
0.7353219985961914,
0.7504807114601135,
0.7710543870925903,
0.7355667352676392,
0.7668233513832092,
0.810759425163269,
0.7769712805747986,
0.8065207004547119,
0.7236192226409912,
0.7532155513763428,
0.7442994713783264,
0.7802096605300903,
0.7740845680236816,
0.7258207201957703,
0.8191320896148682,
0.7727211117744446,
0.7609497308731079,
0.8028796911239624,
0.7582740783691406,
0.8103357553482056,
0.7900112867355347,
0.741097629070282,
0.7662479877471924,
0.8035932779312134
] | [
0.7274023294448853,
0.759121835231781,
0.7212943434715271,
0.7470911741256714,
0.7718098163604736,
0.5380620360374451,
0.3202173113822937,
0.4762182831764221,
0.5564596652984619,
0.3700195252895355,
0.4566853642463684,
0.6060858964920044,
0.5540847778320312,
0.5239540338516235,
0.32769185304641724,
0.489953875541687,
0.4230172038078308,
0.5203325748443604,
0.5272266864776611,
0.41143518686294556,
0.6427050828933716,
0.5134999752044678,
0.45782753825187683,
0.5603287816047668,
0.46299314498901367,
0.6345698237419128,
0.6178273558616638,
0.37634462118148804,
0.4165457487106323,
0.567170262336731
] | [
0.6515719890594482,
0.6824702024459839,
0.6323232650756836,
0.6959680318832397,
0.7211357355117798,
0.4170629382133484,
0.21084177494049072,
0.3845505714416504,
0.4115889072418213,
0.18720078468322754,
0.3107343316078186,
0.4859834313392639,
0.3960898816585541,
0.3720633387565613,
0.1798195242881775,
0.33792001008987427,
0.2574135363101959,
0.33297765254974365,
0.37523481249809265,
0.27994784712791443,
0.5696157217025757,
0.3437090516090393,
0.2811104655265808,
0.4505404829978943,
0.30227887630462646,
0.5020543336868286,
0.48846760392189026,
0.17956829071044922,
0.2166646420955658,
0.4752323031425476
] | [
0.7478086352348328,
0.767887532711029,
0.7330206036567688,
0.7569284439086914,
0.7886174917221069,
0.5611754059791565,
0.38857173919677734,
0.48714935779571533,
0.5744558572769165,
0.39854252338409424,
0.4926011264324188,
0.6207820177078247,
0.570594310760498,
0.5489202737808228,
0.3615109324455261,
0.5163847804069519,
0.44818663597106934,
0.5564042329788208,
0.5413894653320312,
0.47896525263786316,
0.6476243138313293,
0.5554912686347961,
0.4751981198787689,
0.5835139155387878,
0.49165213108062744,
0.6458271741867065,
0.6308027505874634,
0.3941192626953125,
0.43854081630706787,
0.5894875526428223
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Culture fusion and English language teaching | [
"Challenges in Teaching Russian Students to Speak English",
"Tactical Language and Culture Training Systems: Using Artificial Intelligence to Teach Foreign Languages and Cultures",
"Connotation Lexicon: A Dash of Sentiment Beneath the Surface Meaning",
"CONNOTATION ANALYSIS",
"Teaching culture in the 21 st century language classroom",
"An Evaluation Study on Log Parsing and Its Use in Log Mining",
"Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks",
"Unsupervised Models for Named Entity Classification",
"Understanding user behavior in e-commerce with Long Short-term Memory ( LSTM ) and Autoencoders",
"Bug Prioritization to Facilitate Bug Report Triage",
"Conditional Generative Adversarial Networks for Commonsense Machine Comprehension",
"Interpretable Deep Models for ICU Outcome Prediction",
"Automatic Steganographic Distortion Learning Using a Generative Adversarial Network",
"Optimal Control of a Double Inverted Pendulum on a Cart",
"The functional phonological unit of Japanese-English bilinguals is language dependent : Evidence from masked onset and mora priming effects 1",
"Explainable Fashion Recommendation with Joint Outfit Matching and Comment Generation",
"A developmental perspective on executive function.",
"Biofloc Technology ( BFT ) : A Review for Aquaculture Application and Animal Food Industry",
"Natural language processing: an introduction",
"Clustering feature decision trees for semi-supervised classification from high-speed data streams",
"Poisoning Attacks against Support Vector Machines",
"G-CNN: Object Detection via Grid Convolutional Neural Network",
"Single Switched Capacitor Battery Balancing System Enhancements",
"Molecular activity underlying working memory.",
"Credit Card Fraud Detection in e-Commerce: An Outlier Detection Approach",
"DeepNAT: Deep convolutional neural network for segmenting neuroanatomy",
"The errors, insights and lessons of famous AI predictions - and what they mean for the future",
"An evaluation of educational values of YouTube videos for academic writing",
"Survey of Software Inspection Research",
"Space and attention in parietal cortex."
] | [
0.853520929813385,
0.8793917298316956,
0.7984781265258789,
0.8026063442230225,
0.8963048458099365,
0.7892110347747803,
0.7806335687637329,
0.7853647470474243,
0.779882550239563,
0.7750015258789062,
0.7895345091819763,
0.7754278779029846,
0.783297061920166,
0.754063069820404,
0.8236755132675171,
0.7750571370124817,
0.8121035695075989,
0.7716206312179565,
0.8228598833084106,
0.7807611227035522,
0.7784943580627441,
0.7577749490737915,
0.7722674608230591,
0.7959432601928711,
0.7499126195907593,
0.7638716697692871,
0.7812650799751282,
0.8233251571655273,
0.7782796621322632,
0.7876860499382019
] | [
0.8375213742256165,
0.8567008972167969,
0.7809617519378662,
0.7914494276046753,
0.8716129660606384,
0.7824721336364746,
0.748560905456543,
0.804649293422699,
0.7817037105560303,
0.7656514644622803,
0.7461923360824585,
0.7640919089317322,
0.7592618465423584,
0.749327540397644,
0.8030418157577515,
0.7782681584358215,
0.792567253112793,
0.7775830626487732,
0.8119654655456543,
0.7578473091125488,
0.7661675810813904,
0.760253369808197,
0.7724130153656006,
0.7777671217918396,
0.761644184589386,
0.7559767961502075,
0.7702062726020813,
0.7846208810806274,
0.7656888961791992,
0.7875646352767944
] | [
0.8461595177650452,
0.8237907886505127,
0.764716386795044,
0.7722902297973633,
0.8537471294403076,
0.7356752157211304,
0.743431806564331,
0.7517637014389038,
0.742712140083313,
0.760016918182373,
0.7362408638000488,
0.7363004684448242,
0.7132130861282349,
0.7461845874786377,
0.7923617959022522,
0.7397793531417847,
0.7788246870040894,
0.7550675868988037,
0.7828371524810791,
0.7426616549491882,
0.7478663921356201,
0.726776123046875,
0.7398660182952881,
0.7674494981765747,
0.7380246520042419,
0.7444977760314941,
0.7613427639007568,
0.7758383750915527,
0.7632251381874084,
0.752719521522522
] | [
0.6713627576828003,
0.672021210193634,
0.5024572610855103,
0.5087952017784119,
0.7591068744659424,
0.39895203709602356,
0.3723081946372986,
0.3984786570072174,
0.407526433467865,
0.34464263916015625,
0.43621551990509033,
0.34405869245529175,
0.33918896317481995,
0.36740872263908386,
0.5631768107414246,
0.40244367718696594,
0.4764444828033447,
0.3978008031845093,
0.5274471044540405,
0.3872676491737366,
0.3449860215187073,
0.36416900157928467,
0.3904520869255066,
0.43540045619010925,
0.3765275776386261,
0.36772534251213074,
0.40392985939979553,
0.543632984161377,
0.380638986825943,
0.41642990708351135
] | [
0.6094324588775635,
0.5904034972190857,
0.3751216530799866,
0.37461477518081665,
0.7063816785812378,
0.2588299810886383,
0.22030013799667358,
0.2645191550254822,
0.2608877718448639,
0.18762266635894775,
0.3036768138408661,
0.21122455596923828,
0.22511595487594604,
0.22377817332744598,
0.45268958806991577,
0.2866014242172241,
0.32494375109672546,
0.2567545771598816,
0.38382336497306824,
0.23289072513580322,
0.18152941763401031,
0.2287292778491974,
0.26927441358566284,
0.28225278854370117,
0.2095552533864975,
0.21868187189102173,
0.23546680808067322,
0.42850422859191895,
0.23628811538219452,
0.2610192894935608
] | [
0.6948997378349304,
0.6839398145675659,
0.5178263187408447,
0.5316543579101562,
0.7633907794952393,
0.4378662109375,
0.4010881185531616,
0.42710018157958984,
0.44241562485694885,
0.3794653117656708,
0.4576718211174011,
0.37453535199165344,
0.3766280710697174,
0.41832226514816284,
0.5758589506149292,
0.41206133365631104,
0.507515549659729,
0.4426169991493225,
0.5476108193397522,
0.4257339835166931,
0.3867919445037842,
0.3965163230895996,
0.4284977316856384,
0.4759517312049866,
0.4159422516822815,
0.39609068632125854,
0.4477163851261139,
0.5606920719146729,
0.41490253806114197,
0.4509407579898834
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Validation and Verification of Smart Contracts: A Research Agenda | [
"Formal Modeling and Verification of Smart Contracts",
"Short Paper: Service-Oriented Sharding for Blockchains",
"Chainspace: A Sharded Smart Contracts Platform",
"Improving data transparency in clinical trials using blockchain smart contracts",
"Step by Step Towards Creating a Safe Smart Contract: Lessons and Insights from a Cryptocurrency Lab",
"Feature selection using Deep Neural Networks",
"Brain and cognitive reserve: Translation via network control theory",
"Direct Torque Control for Induction Motor Using Fuzzy Logic",
"Modeling and Understanding Human Routine Behavior",
"GenAttack: Practical Black-box Attacks with Gradient-Free Optimization",
"Autism: A “Critical Period” Disorder?",
"The development of pre-service teachers ' TPACK in the use of digital tools",
"The mechanics of trust: A framework for research and design",
"Reinforcement Learning for UAV Attitude Control",
"Capsules for Object Segmentation",
"3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions",
"The Psychology of Fraud",
"Smart Agriculture Based on Cloud Computing and IOT",
"Pattern-based synonym and antonym extraction",
"Fruit Recognition using Color and Texture Features",
"Low-Bit-Rate Speech Coding",
"Big Data Summarization Using Semantic Feture for IoT on Cloud",
"Vehicle tracking using extended object methods: An approach for fusing radar and laser",
"MIMO and beamforming solutions for 5G technology",
"The finding probably will support those ... Lol , u think im being there ...",
"CAPTCHA Recognition Based on Faster R-CNN",
"World Conference on Earthquake Engineering October 12-17, 2008, Beijing, China SCALING OF EARTHQUAKE ACCELEROGRAMS FOR NON-LINEAR DYNAMIC ANALYSES TO MATCH THE EARTHQUAKE DESIGN SPECTRA",
"The Chaos Within Sudoku",
"Lifelong Machine Learning",
"Cloud computing: state-of-the-art and research challenges"
] | [
0.9406672716140747,
0.8382132053375244,
0.8856463432312012,
0.880673885345459,
0.8930078744888306,
0.7836306095123291,
0.8109160661697388,
0.7829069495201111,
0.8231882452964783,
0.8095278143882751,
0.7812158465385437,
0.8052423000335693,
0.8618968725204468,
0.8045165538787842,
0.7960554957389832,
0.7912055253982544,
0.8169537782669067,
0.8366124033927917,
0.7919695377349854,
0.7969618439674377,
0.7968944907188416,
0.8073391318321228,
0.7871221303939819,
0.7987715005874634,
0.7687970399856567,
0.8050870895385742,
0.7871214151382446,
0.7628392577171326,
0.8004767894744873,
0.8416001796722412
] | [
0.9243528246879578,
0.8259320259094238,
0.8575730919837952,
0.8511844873428345,
0.8830175995826721,
0.7773253321647644,
0.7869945764541626,
0.7453910708427429,
0.8043162822723389,
0.7885074019432068,
0.7666614651679993,
0.7790710926055908,
0.8138757944107056,
0.7565739750862122,
0.7847771048545837,
0.7754580974578857,
0.7990912199020386,
0.8168470859527588,
0.7912673950195312,
0.7503331899642944,
0.7662465572357178,
0.8030391931533813,
0.7784961462020874,
0.7958827018737793,
0.7806727886199951,
0.8023772239685059,
0.7746593952178955,
0.7734666466712952,
0.7952306270599365,
0.8218221664428711
] | [
0.8953548669815063,
0.8330198526382446,
0.8532575964927673,
0.8422912359237671,
0.876170814037323,
0.7672216892242432,
0.7927427887916565,
0.7624454498291016,
0.7881346940994263,
0.7892708778381348,
0.7586994767189026,
0.772252082824707,
0.8166306614875793,
0.7687788605690002,
0.7683860063552856,
0.7694822549819946,
0.7913017272949219,
0.7990396022796631,
0.776917040348053,
0.7469313144683838,
0.7586805820465088,
0.778617799282074,
0.7527113556861877,
0.772887647151947,
0.7624561786651611,
0.7861459255218506,
0.77296382188797,
0.7645832300186157,
0.7823523283004761,
0.8276824951171875
] | [
0.9247894883155823,
0.6590061783790588,
0.7706544399261475,
0.7013794183731079,
0.8154066801071167,
0.42631590366363525,
0.46670180559158325,
0.4362800121307373,
0.4999653100967407,
0.5117506384849548,
0.3981322944164276,
0.434431791305542,
0.6188699007034302,
0.4662017822265625,
0.4303934574127197,
0.38109806180000305,
0.4757949709892273,
0.5273535251617432,
0.43464505672454834,
0.40249931812286377,
0.42231354117393494,
0.5394964814186096,
0.43960559368133545,
0.4316730499267578,
0.34641844034194946,
0.44942840933799744,
0.4492065906524658,
0.3881326913833618,
0.48852503299713135,
0.6138293743133545
] | [
0.9147637486457825,
0.5611120462417603,
0.7039370536804199,
0.6225659847259521,
0.7680862545967102,
0.26313650608062744,
0.3089797794818878,
0.291898250579834,
0.3149307072162628,
0.3617832362651825,
0.25083351135253906,
0.28955936431884766,
0.4966062903404236,
0.31966859102249146,
0.2570970952510834,
0.24018138647079468,
0.35918086767196655,
0.4276869297027588,
0.25763681530952454,
0.2240995168685913,
0.24356885254383087,
0.3807217478752136,
0.2803482413291931,
0.24236327409744263,
0.2588031589984894,
0.2858732342720032,
0.3043780028820038,
0.28435423970222473,
0.33080822229385376,
0.48462584614753723
] | [
0.9237623810768127,
0.6646625995635986,
0.7846146821975708,
0.7093804478645325,
0.8189741969108582,
0.44819048047065735,
0.48798805475234985,
0.45551586151123047,
0.5194636583328247,
0.5289075970649719,
0.41838210821151733,
0.46212533116340637,
0.630474865436554,
0.497586190700531,
0.4544123411178589,
0.42123162746429443,
0.5151119232177734,
0.5483512282371521,
0.46636396646499634,
0.4265359938144684,
0.4585992097854614,
0.5500166416168213,
0.46664944291114807,
0.4545513987541199,
0.2979438304901123,
0.4710805416107178,
0.4655485451221466,
0.4406352639198303,
0.5167323350906372,
0.6284871697425842
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations | [
"Neural Attentional Rating Regression with Review-level Explanations",
"Character-Level Question Answering with Attention",
"Dual Attention Network for Visual Question Answering",
"Open-Ended Visual Question-Answering",
"Speech-Based Visual Question Answering",
"Genetic and environmental influences on sexual orientation and its correlates in an Australian twin sample.",
"TransG : A Generative Mixture Model for Knowledge Graph Embedding",
"Deep Learning is Robust to Massive Label Noise",
"The enactment of socio-technical transition pathways : A reformulated typology and a comparative multi-level analysis of the German and UK low-carbon electricity transitions ( 1990 – 2014 )",
"Report on the Development of the Advanced Encryption Standard (AES)",
"Reasoning with visual metaphors",
"The multi-tasking paradox : perceptions , problems and strategies",
"Using Word Embeddings for Automatic Query Expansion",
"HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network",
"Quarterly Journal of Economics a Model of Reference-dependent Preferences*",
"Mining Educational Data Using Classification to Decrease Dropout Rate of Students",
"Predicting the status of water pumps using data mining approach",
"A survey of decision tree classifier methodology",
"Deep Learning Methods for Improved Decoding of Linear Codes",
"Integrating Object Affordances with Artificial Visual Attention",
"Speech Recognition using Neural Network",
"Deep Learning for Health Informatics",
"A phase space model of Fourier ptychographic microscopy.",
"SKEW DETECTION IN IMAGE PROCESSING",
"A survey of cross-lingual embedding models",
"From Orthogonal to Non-orthogonal Multiple Access : Energy- and Spectrum-Efficient Resource Allocation",
"Realization of embedded speech recognition module based on STM32",
"Measurement of dietary intake in children.",
"Contact detection and reaction of a wheelchair mounted robotic arm equiped with mechanical gravity canceller",
"Depression among Chinese University Students: Prevalence and Socio-Demographic Correlates"
] | [
0.8174803256988525,
0.8148739337921143,
0.8575068712234497,
0.8466565608978271,
0.8411884307861328,
0.8143367767333984,
0.8371679186820984,
0.8396127223968506,
0.7809852361679077,
0.7944537401199341,
0.8356889486312866,
0.7927025556564331,
0.8251933455467224,
0.807587742805481,
0.7850073575973511,
0.8017624616622925,
0.7945067882537842,
0.7903953194618225,
0.8285305500030518,
0.85491943359375,
0.823849081993103,
0.8476935625076294,
0.7960337996482849,
0.8085816502571106,
0.83130943775177,
0.8062748312950134,
0.7814549207687378,
0.7739976048469543,
0.7988035678863525,
0.7847516536712646
] | [
0.7883034348487854,
0.7933013439178467,
0.8237318396568298,
0.8267238140106201,
0.8319318890571594,
0.7853726148605347,
0.8006761074066162,
0.8184797763824463,
0.7605272531509399,
0.7823164463043213,
0.8315985798835754,
0.7789590954780579,
0.8155860900878906,
0.7993634939193726,
0.7667244076728821,
0.8236759305000305,
0.7843798398971558,
0.7892909049987793,
0.8153175115585327,
0.8006319403648376,
0.7966722249984741,
0.827200174331665,
0.796755313873291,
0.783955454826355,
0.8091151714324951,
0.7790307998657227,
0.783219575881958,
0.7736755609512329,
0.7839474081993103,
0.7647347450256348
] | [
0.781108021736145,
0.8019341230392456,
0.8171639442443848,
0.8396385908126831,
0.8355292677879333,
0.779520571231842,
0.812709391117096,
0.8100647926330566,
0.7448619604110718,
0.7718442678451538,
0.82341468334198,
0.7755316495895386,
0.788651704788208,
0.7798620462417603,
0.7542659044265747,
0.7807013988494873,
0.7523412704467773,
0.7697305679321289,
0.8014312386512756,
0.8177931308746338,
0.7685137391090393,
0.7883603572845459,
0.782446026802063,
0.7583284378051758,
0.812686562538147,
0.7656729221343994,
0.7453783750534058,
0.7580643892288208,
0.7707401514053345,
0.7469464540481567
] | [
0.6084254384040833,
0.6399439573287964,
0.7072307467460632,
0.7555345892906189,
0.7256392240524292,
0.49441763758659363,
0.642306923866272,
0.6634262800216675,
0.4053564667701721,
0.4018910825252533,
0.6792349815368652,
0.5003799200057983,
0.5713847875595093,
0.4636678397655487,
0.4573342502117157,
0.5040420889854431,
0.4195009469985962,
0.46196049451828003,
0.6109284162521362,
0.6633652448654175,
0.5182446241378784,
0.6514326930046082,
0.5099339485168457,
0.5484355688095093,
0.6664078235626221,
0.3987951874732971,
0.47385555505752563,
0.40852776169776917,
0.38455548882484436,
0.3796180784702301
] | [
0.4799821972846985,
0.5069199204444885,
0.6076996326446533,
0.6580983400344849,
0.6194850206375122,
0.35295170545578003,
0.5160167217254639,
0.5827822685241699,
0.2530151605606079,
0.26046222448349,
0.5433533191680908,
0.34726226329803467,
0.4459496736526489,
0.34149134159088135,
0.3359968960285187,
0.34806951880455017,
0.28843915462493896,
0.3130779266357422,
0.5152571201324463,
0.5116158723831177,
0.3594902455806732,
0.5364493131637573,
0.37629687786102295,
0.42207276821136475,
0.531316339969635,
0.2534840404987335,
0.3630455732345581,
0.2524111270904541,
0.21437551081180573,
0.22748234868049622
] | [
0.6177105903625488,
0.6379841566085815,
0.6962121725082397,
0.745331346988678,
0.7109523415565491,
0.5176177620887756,
0.6440016031265259,
0.6779046654701233,
0.43583086133003235,
0.4436403512954712,
0.6830543875694275,
0.5299195051193237,
0.5775597095489502,
0.4777815341949463,
0.4913333058357239,
0.5081222057342529,
0.4344850778579712,
0.4821372330188751,
0.6216803789138794,
0.6601628661155701,
0.5167746543884277,
0.6496352553367615,
0.5368499159812927,
0.5646928548812866,
0.654039740562439,
0.4378286898136139,
0.48783499002456665,
0.4401225447654724,
0.4072926938533783,
0.4101002514362335
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks | [
"Weakly Supervised Object Boundaries",
"ExFuse: Enhancing Feature Fusion for Semantic Segmentation",
"M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Resource-Constrained Environments",
"Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection",
"The 2017 DAVIS Challenge on Video Object Segmentation",
"Scalable Function Call Graph-based Malware Classification",
"Therapeutic applications of pomegranate (Punica granatum L.): a review.",
"Towards Accurate Binary Convolutional Neural Network",
"An Algorithm For Training Multilayer Perceptron (MLP) For Image Reconstruction Using Neural Network Without Overfitting.",
"Transferring deep representation for NIR-VIS heterogeneous face recognition",
"Transferrable Representations for Visual Recognition",
"Fast Ego-motion Estimation with Multi-rate Fusion of Inertial and Vision",
"An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation",
"Machine Comprehension using Rich Semantic Representations",
"Towards Agile Model-based Systems Engineering",
"Chapter 25 – MULTIPLE SYSTEMS OF PERCEPTUAL CATEGORY LEARNING: THEORY AND COGNITIVE TESTS",
"On the performance of artificial bee colony (ABC) algorithm",
"RGCNN: Regularized Graph CNN for Point Cloud Segmentation",
"5G: Evolution of a secure mobile technology",
"A Comparative Study of Image Steganography Techniques",
"Application of Floating Photovoltaic Energy Generation Systems in South Korea",
"Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis",
"Dedekind ’ s treatment of Galois theory in the Vorlesungen",
"Ice-Bound: Combining richly-realized story with expressive gameplay",
"Measuring the Structural and Conceptual Similarity of Folktales using Plot Graphs",
"Recent Advances in Open Set Recognition: A Survey",
"Invariant visual representation by single neurons in the human brain",
"Deep Enhanced Representation for Implicit Discourse Relation Recognition",
"Automatic Rain Drop Detection for Improved Sensing in Automotive Computer Vision Applications",
"An Introduction to Feature Extraction"
] | [
0.8767057657241821,
0.8653730750083923,
0.8626908659934998,
0.880800724029541,
0.85230553150177,
0.8371827602386475,
0.7880805730819702,
0.8840776085853577,
0.8276017904281616,
0.8474552035331726,
0.847183346748352,
0.8438974618911743,
0.8073630928993225,
0.8394105434417725,
0.8085896968841553,
0.8139317035675049,
0.8155254125595093,
0.8750931024551392,
0.8215548396110535,
0.8311371803283691,
0.7796297073364258,
0.8070893287658691,
0.7890836596488953,
0.8288263082504272,
0.8092285990715027,
0.8312411308288574,
0.8364874720573425,
0.8309320211410522,
0.8187910914421082,
0.8388612270355225
] | [
0.8635759353637695,
0.8217803239822388,
0.8262220621109009,
0.8619797229766846,
0.8578566312789917,
0.7886806726455688,
0.7513489127159119,
0.8494261503219604,
0.8116621971130371,
0.8188594579696655,
0.8363702893257141,
0.801034152507782,
0.7796894311904907,
0.8055437803268433,
0.8072181940078735,
0.7828444242477417,
0.8004136085510254,
0.8373903632164001,
0.8027308583259583,
0.8132089972496033,
0.7412213087081909,
0.7769367694854736,
0.7572664022445679,
0.8060083389282227,
0.764604926109314,
0.8348501920700073,
0.8114174008369446,
0.8035210967063904,
0.7993769645690918,
0.8294063806533813
] | [
0.8384537100791931,
0.8474104404449463,
0.834145188331604,
0.8349892497062683,
0.8204882144927979,
0.7907475829124451,
0.7462736368179321,
0.8274705410003662,
0.8112877011299133,
0.7944806814193726,
0.8115898370742798,
0.7956453561782837,
0.7652439475059509,
0.7926082611083984,
0.7741236686706543,
0.7816470861434937,
0.788964569568634,
0.8206504583358765,
0.7806466221809387,
0.7809916734695435,
0.7266557812690735,
0.7717831134796143,
0.7482584118843079,
0.7852002382278442,
0.7637418508529663,
0.8224150538444519,
0.7995606064796448,
0.7761527299880981,
0.7892941236495972,
0.8025907278060913
] | [
0.803741991519928,
0.7100657820701599,
0.6735157370567322,
0.7783141136169434,
0.7303149104118347,
0.5042123794555664,
0.30944177508354187,
0.6979073286056519,
0.6129043102264404,
0.621074378490448,
0.6814871430397034,
0.5405851006507874,
0.5023104548454285,
0.61623215675354,
0.4080609381198883,
0.529726505279541,
0.44350665807724,
0.6975228786468506,
0.4162159562110901,
0.4991290271282196,
0.33821427822113037,
0.6358467936515808,
0.4233936667442322,
0.49497491121292114,
0.5189272165298462,
0.6791115999221802,
0.6194140315055847,
0.5553174018859863,
0.6169260740280151,
0.6599571704864502
] | [
0.7540258169174194,
0.6309727430343628,
0.5758171081542969,
0.7399373054504395,
0.6671164035797119,
0.374154657125473,
0.1599380224943161,
0.6221553087234497,
0.487453818321228,
0.48720431327819824,
0.5549747943878174,
0.3691452145576477,
0.34832563996315,
0.47806787490844727,
0.2562573552131653,
0.4114387631416321,
0.27328112721443176,
0.6175565719604492,
0.2601913511753082,
0.3372599482536316,
0.16634100675582886,
0.5059144496917725,
0.2836061716079712,
0.3597145974636078,
0.34473717212677,
0.5464712381362915,
0.4801929295063019,
0.4156046509742737,
0.5076605081558228,
0.5192192792892456
] | [
0.8069876432418823,
0.7096385359764099,
0.6842446327209473,
0.7864272594451904,
0.7418111562728882,
0.5174768567085266,
0.3373348116874695,
0.7039362788200378,
0.6195078492164612,
0.631725549697876,
0.6874822378158569,
0.5669477581977844,
0.5251865386962891,
0.6263216733932495,
0.4473092555999756,
0.5540283918380737,
0.4854232668876648,
0.6985416412353516,
0.44771721959114075,
0.513394832611084,
0.3748970925807953,
0.6429505944252014,
0.4695664048194885,
0.5406753420829773,
0.5400151014328003,
0.6872609853744507,
0.6414699554443359,
0.5686174631118774,
0.6316338777542114,
0.6627556681632996
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification | [
"Benchmarking Lexical Simplification Systems",
"Exploring Neural Text Simplification Models",
"Learning Sparse Task Relations in Multi-Task Learning",
"Sentence Simplification with Deep Reinforcement Learning",
"A Semantic Relevance Based Neural Network for Text Summarization and Text Simplification",
"On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical Taxonomies",
"Impact of Internet Use on Loneliness and Contact with Others Among Older Adults: Cross-Sectional Analysis",
"Geared Rotationally Identical and Invariant Convolutional Neural Network Systems",
"Artificial General Intelligence",
"An Organizational Theoretic Review of Green Supply Chain Management Literature",
"Strategic supply chain framework for the automotive industry",
"Comparison of Invariant Manifolds for Model Reduction in Chemical Kinetics",
"Strategic information systems planning: too little or too much?",
"Learning robust failure response for autonomous vision based flight",
"How gamification marketing activities motivate desirable consumer behaviors: Focusing on the role of brand love",
"Source VS Synthetic Target Source VS Source Synthetic Source VS Target Synthetic Source VS Synthetic Source",
"Deep artifact learning for compressed sensing and parallel MRI",
"Challenges of Reengineering into Multi-Tenant SaaS Applications",
"Multi-evidence Filtering and Fusion for Multi-label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning",
"Diagnosing New York city's noises with ubiquitous data",
"Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression",
"Interaction Design - Beyond Human-Computer Interaction, 3rd Edition",
"Detecting rare visual relations using analogies",
"On Deep Multi-View Representation Learning: Objectives and Optimization",
"A Survey of Fog Computing: Concepts, Applications and Issues",
"Using SAS® Enterprise BI and SAS® Enterprise Miner to Reduce Student Attrition",
"WSN- and IOT-Based Smart Homes and Their Extension to Smart Buildings",
"Mining Relation Extraction Based on Pattern Learning Approach",
"Rasch model analysis of the Depression, Anxiety and Stress Scales (DASS)",
"Analysis of Social Networks Using the Techniques of Web Mining"
] | [
0.8739102482795715,
0.9014548063278198,
0.8895193934440613,
0.9356355667114258,
0.9064079523086548,
0.8281883001327515,
0.7798693180084229,
0.8213908672332764,
0.8238166570663452,
0.7807384729385376,
0.8054386377334595,
0.8151071667671204,
0.8145992755889893,
0.833929181098938,
0.7992312908172607,
0.8138458728790283,
0.8634681701660156,
0.8484609127044678,
0.8628265857696533,
0.8275285959243774,
0.8662207722663879,
0.8133219480514526,
0.8158375024795532,
0.8636496663093567,
0.8048956394195557,
0.8008689284324646,
0.7985227108001709,
0.8369563817977905,
0.812828540802002,
0.813504695892334
] | [
0.8522027134895325,
0.8574608564376831,
0.8513598442077637,
0.906588077545166,
0.8496200442314148,
0.8040014505386353,
0.7702295780181885,
0.7819513082504272,
0.8048018217086792,
0.7580642700195312,
0.7712740302085876,
0.7925758361816406,
0.7775900959968567,
0.7975214123725891,
0.7789207696914673,
0.7615566849708557,
0.827395498752594,
0.7986257076263428,
0.8218867182731628,
0.7917952537536621,
0.834654688835144,
0.7682865858078003,
0.7818566560745239,
0.8273175954818726,
0.795150876045227,
0.7885116934776306,
0.7863427996635437,
0.8027039766311646,
0.7776130437850952,
0.7945149540901184
] | [
0.8345657587051392,
0.8460301160812378,
0.8291311264038086,
0.8720040321350098,
0.8519480228424072,
0.7809162139892578,
0.7541553974151611,
0.7551438212394714,
0.7713314294815063,
0.7512918710708618,
0.7406998872756958,
0.7838374376296997,
0.7620208263397217,
0.7689346075057983,
0.7506089806556702,
0.7699981331825256,
0.8040555715560913,
0.7697851061820984,
0.8245620727539062,
0.7686046957969666,
0.8229568004608154,
0.7430158853530884,
0.7795753479003906,
0.8127940893173218,
0.7626566290855408,
0.7637069821357727,
0.7725754976272583,
0.7646512985229492,
0.7833513617515564,
0.7580887079238892
] | [
0.753728449344635,
0.8211958408355713,
0.7395254373550415,
0.8562548756599426,
0.7505788803100586,
0.554645299911499,
0.39708590507507324,
0.5446956753730774,
0.562971830368042,
0.3604756295681,
0.3596258759498596,
0.5032232403755188,
0.3956416845321655,
0.4744548797607422,
0.3609604835510254,
0.530665397644043,
0.5185520648956299,
0.4050331115722656,
0.5556434392929077,
0.4954374432563782,
0.6403800249099731,
0.4190136194229126,
0.5573455095291138,
0.605358362197876,
0.3939606249332428,
0.4648674726486206,
0.3619132936000824,
0.5209144949913025,
0.449571818113327,
0.42990583181381226
] | [
0.6924562454223633,
0.7864507436752319,
0.6678159236907959,
0.8047996759414673,
0.6862527132034302,
0.43005430698394775,
0.24775773286819458,
0.41227611899375916,
0.4150320887565613,
0.2163928747177124,
0.21908195316791534,
0.36114799976348877,
0.2587888836860657,
0.33343958854675293,
0.21697372198104858,
0.44231942296028137,
0.39455288648605347,
0.261471688747406,
0.44190967082977295,
0.3492659628391266,
0.5275228023529053,
0.24757984280586243,
0.40919458866119385,
0.4899316430091858,
0.24740111827850342,
0.33854109048843384,
0.19811341166496277,
0.3903544843196869,
0.30593571066856384,
0.25000008940696716
] | [
0.7559585571289062,
0.8266944289207458,
0.7454363703727722,
0.8577955961227417,
0.755211353302002,
0.5656553506851196,
0.41544485092163086,
0.56200110912323,
0.5749987959861755,
0.38294410705566406,
0.3813427686691284,
0.5273314714431763,
0.4201788306236267,
0.4997155964374542,
0.37886229157447815,
0.5159803628921509,
0.5403532981872559,
0.44195276498794556,
0.5777349472045898,
0.5285084247589111,
0.6558330655097961,
0.4458746016025543,
0.5636913776397705,
0.6260602474212646,
0.40807247161865234,
0.482723593711853,
0.3871787190437317,
0.5412547588348389,
0.4750766456127167,
0.4547520875930786
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
A Comprehensive Review of Smart Wheelchairs: Past, Present, and Future | [
"Closed-loop brain training: the science of neurofeedback",
"A smart wheelchair ecosystem for autonomous navigation in urban environments",
"Recent Advances on Neuromorphic Systems Using Phase-Change Materials",
"Emerging Frontiers of Neuroengineering: A Network Science of Brain Connectivity.",
"Controlling a Wheelchair Indoors Using Thought",
"T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos",
"Internet of Things-aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions",
"Patellofemoral pain in athletes: clinical perspectives",
"One-Shot Segmentation in Clutter",
"Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures",
"Bus Architectures for Safety-Critical Embedded Systems",
"Cross-Organizational Workflow Management Using Blockchain Technology - Towards Applicability, Auditability, and Automation",
"Counterfactual reasoning and learning systems: the example of computational advertising",
"Playing Go without Game Tree Search Using Convolutional Neural Networks",
"Abnormal Event Detection in Videos Using Spatiotemporal Autoencoder",
"The effect of testing versus restudy on retention: a meta-analytic review of the testing effect.",
"The role of conservation agriculture in sustainable agriculture.",
"An Architecture for Fast and Accurate Control of Shape Memory Alloy Actuators",
"Automatic Keyword Extraction for Text Summarization: A Survey",
"Types of Information Technology Capabilities and Their Role in Competitive Advantage: An Empirical Study",
"Speech Emotion Recognition with Emotion-Pair Based Framework Considering Emotion Distribution Information in Dimensional Emotion Space",
"Analysis of graphene based triangular nano patch antenna using photonic crystal as substrate for wireless applications",
"Biquad Filter Using the Current Feedback Operational Amplifier",
"The principles of techniques for cleaning root canals.",
"Land Surface Temperature Retrieval Methods From Landsat-8 Thermal Infrared Sensor Data",
"StackOverflow and GitHub: Associations between Software Development and Crowdsourced Knowledge",
"Immersion of virtual reality for rehabilitation - Review.",
"FIXED POINTS AND STABILITY IN NONLINEAR NEUTRAL VOLTERRA INTEGRO-DIFFERENTIAL EQUATIONS WITH VARIABLE DELAYS",
"A case study in hardware Trojan design and implementation",
"An introduction to quantum computing for non-physicists"
] | [
0.8481394052505493,
0.9011364579200745,
0.8593769073486328,
0.865771472454071,
0.8670233488082886,
0.8143678307533264,
0.8888120651245117,
0.8328986167907715,
0.7847281694412231,
0.8234189748764038,
0.838782787322998,
0.8537288308143616,
0.8292907476425171,
0.8162556886672974,
0.812952995300293,
0.8446848392486572,
0.8134244680404663,
0.8538386821746826,
0.8166030645370483,
0.8399047255516052,
0.8295625448226929,
0.8046826124191284,
0.8213417530059814,
0.8174136877059937,
0.8051448464393616,
0.8421061038970947,
0.8671143054962158,
0.8038238286972046,
0.8356447219848633,
0.8352198600769043
] | [
0.8175708055496216,
0.8533282279968262,
0.8140245676040649,
0.8342630863189697,
0.8547021746635437,
0.7824729084968567,
0.8513923287391663,
0.8013063669204712,
0.7846978902816772,
0.7620804905891418,
0.806403636932373,
0.7959458827972412,
0.8110030293464661,
0.7805792093276978,
0.7916455268859863,
0.7998477816581726,
0.7698889970779419,
0.8062101006507874,
0.7893393039703369,
0.7837104797363281,
0.7840041518211365,
0.785468339920044,
0.7865138649940491,
0.8070387840270996,
0.7655894756317139,
0.794225811958313,
0.8506255149841309,
0.7424068450927734,
0.8133941888809204,
0.8286042213439941
] | [
0.8090687394142151,
0.8482367992401123,
0.793898344039917,
0.8147480487823486,
0.8432720303535461,
0.7772015333175659,
0.8336598873138428,
0.7728273868560791,
0.7679040431976318,
0.7728465795516968,
0.7789372205734253,
0.793695867061615,
0.7826875448226929,
0.7828103303909302,
0.7859272956848145,
0.8106601238250732,
0.7697080373764038,
0.7925953269004822,
0.7749125957489014,
0.7799074649810791,
0.7873471975326538,
0.7600789666175842,
0.7911414504051208,
0.7940223217010498,
0.7527873516082764,
0.7869274020195007,
0.8434476256370544,
0.7319978475570679,
0.7989094257354736,
0.8029424548149109
] | [
0.558771550655365,
0.8617417812347412,
0.558517336845398,
0.5019108057022095,
0.8003664016723633,
0.45145657658576965,
0.5066453218460083,
0.3703477382659912,
0.4300921559333801,
0.4077066481113434,
0.5556713342666626,
0.41885170340538025,
0.4625684916973114,
0.4575527012348175,
0.4422045052051544,
0.38110437989234924,
0.37307649850845337,
0.5777014493942261,
0.4537644386291504,
0.4220205545425415,
0.45985788106918335,
0.4192665219306946,
0.45132577419281006,
0.36728161573410034,
0.40105050802230835,
0.39960432052612305,
0.6277832984924316,
0.4280334711074829,
0.39142516255378723,
0.4478552043437958
] | [
0.4169675409793854,
0.8309556841850281,
0.39396438002586365,
0.3251717686653137,
0.7517722249031067,
0.2965320944786072,
0.3471447229385376,
0.215573251247406,
0.24901024997234344,
0.2507752776145935,
0.4351183772087097,
0.25014230608940125,
0.3203260898590088,
0.3081999719142914,
0.30424484610557556,
0.20760035514831543,
0.23005566000938416,
0.4501402676105499,
0.3081055283546448,
0.26908719539642334,
0.3037572503089905,
0.2573135495185852,
0.30912214517593384,
0.21741214394569397,
0.23425881564617157,
0.23879322409629822,
0.5004022121429443,
0.27569279074668884,
0.21504002809524536,
0.25378596782684326
] | [
0.5819388628005981,
0.8463886976242065,
0.5750714540481567,
0.5215390920639038,
0.8001250624656677,
0.47946789860725403,
0.532838761806488,
0.40443581342697144,
0.46312016248703003,
0.4352017045021057,
0.5718110203742981,
0.4544397294521332,
0.49218884110450745,
0.49267110228538513,
0.4720868468284607,
0.41298729181289673,
0.42231839895248413,
0.5880785584449768,
0.4741617739200592,
0.44041889905929565,
0.4813001751899719,
0.4422783851623535,
0.4879186749458313,
0.4128829836845398,
0.4347008168697357,
0.4261780381202698,
0.6344607472419739,
0.46096187829971313,
0.4222884476184845,
0.4780915081501007
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Actor-Action Semantic Segmentation with Region Masks | [
"Extreme Clicking for Efficient Object Annotation",
"Dynamic Video Segmentation Network",
"The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation",
"Unsupervised Video Object Segmentation with Motion-Based Bilateral Networks",
"Video Object Segmentation Without Temporal Information",
"A Lagrangian Perspective on Latent Variable Generative Models",
"Design of RKE System Based on KEELOQ Encryption Technology",
"CIRL: Controllable Imitative Reinforcement Learning for Vision-Based Self-driving",
"Orthomode Transducers With Folded Double-Symmetry Junctions for Broadband and Compact Antenna Feeds",
"Controllable Invariance through Adversarial Feature Learning",
"Predicting seminal quality with artificial intelligence methods",
"Operating Systems for Low-End Devices in the Internet of Things: A Survey",
"Transfer Learning for Text Mining",
"Restorative management of the worn dentition: 4. Generalized toothwear.",
"FacetGist: Collective Extraction of Document Facets in Large Technical Corpora",
"Gamification: What It Is and Why It Matters to Digital Health Behavior Change Developers",
"Multi-Objective Optimization for the Joint Disambiguation of Nouns and Named Entities",
"XSS-GUARD: Precise Dynamic Prevention of Cross-Site Scripting Attacks",
"Design patterns: elements of reuseable object-oriented software",
"Examining the Impact of Contextual Ambiguity on Search Advertising Keyword Performance : A Topic Model",
"Playing Atari Games with Deep Reinforcement Learning and Human Checkpoint Replay",
"Stochastic Programming from Modeling Languages",
"Combining Head Pose and Eye Location Information for Gaze Estimation",
"Functional Foods and Nutraceuticals in the Primary Prevention of Cardiovascular Diseases",
"Fully Convolutional Adaptation Networks for Semantic Segmentation",
"Cross-Lingual Word Embeddings for Low-Resource Language Modeling",
"Arrhythmia Identification with Two-Lead Electrocardiograms Using Artificial Neural Networks and Support Vector Machines for a Portable ECG Monitor System",
"Training deep neural networks with low precision multiplications",
"Synchronization and Frequency Regulation of DFIG-Based Wind Turbine Generators With Synchronized Control",
"Cryptanalysis of LFSR-based Pseudorandom Generators-a Survey"
] | [
0.8462300300598145,
0.8610118627548218,
0.8536361455917358,
0.8526279926300049,
0.8585624694824219,
0.8087131381034851,
0.7865972518920898,
0.8248792886734009,
0.7786502838134766,
0.8166388273239136,
0.836701512336731,
0.8106469511985779,
0.8319832682609558,
0.7711082696914673,
0.8462262153625488,
0.790616512298584,
0.8229774236679077,
0.8052918910980225,
0.8100166320800781,
0.8094398379325867,
0.8273068070411682,
0.8208281993865967,
0.838833212852478,
0.7700785398483276,
0.8836555480957031,
0.8244994878768921,
0.8272249698638916,
0.8259420394897461,
0.7746273875236511,
0.8005803227424622
] | [
0.8147681951522827,
0.841533899307251,
0.8338462710380554,
0.8455413579940796,
0.8526980876922607,
0.778156042098999,
0.7561779022216797,
0.7978997826576233,
0.7707430720329285,
0.7991557121276855,
0.8048022985458374,
0.794432520866394,
0.8062976598739624,
0.7550509572029114,
0.8038313984870911,
0.7840340733528137,
0.8046550750732422,
0.79780113697052,
0.7631783485412598,
0.804340124130249,
0.8087751269340515,
0.7827602624893188,
0.801975429058075,
0.7508343458175659,
0.8580628633499146,
0.7982058525085449,
0.7877180576324463,
0.7853444814682007,
0.7343254089355469,
0.7526721358299255
] | [
0.7900075316429138,
0.8287792205810547,
0.8206437826156616,
0.8164447546005249,
0.8197771310806274,
0.7816754579544067,
0.7431306838989258,
0.787438690662384,
0.7199735641479492,
0.7892060279846191,
0.774044394493103,
0.7482550740242004,
0.7765347957611084,
0.7318360805511475,
0.7790993452072144,
0.7602158188819885,
0.7628684043884277,
0.7857887744903564,
0.7624578475952148,
0.763190507888794,
0.795270562171936,
0.7634206414222717,
0.7729451656341553,
0.7347421050071716,
0.8330708742141724,
0.7834615707397461,
0.7647976875305176,
0.7737240791320801,
0.7235816717147827,
0.7534733414649963
] | [
0.577656090259552,
0.741213321685791,
0.7421461939811707,
0.7373837232589722,
0.7168998718261719,
0.5820797085762024,
0.3581818640232086,
0.5936232209205627,
0.31009331345558167,
0.5936596393585205,
0.47062060236930847,
0.4022480845451355,
0.4975711703300476,
0.38273823261260986,
0.5192790627479553,
0.41432851552963257,
0.5082063674926758,
0.42545849084854126,
0.425838828086853,
0.4357702434062958,
0.5338305234909058,
0.5164437890052795,
0.5742774605751038,
0.3143646717071533,
0.7455307245254517,
0.5032432079315186,
0.4058458209037781,
0.5672261714935303,
0.28509074449539185,
0.39252081513404846
] | [
0.4875466823577881,
0.6700478196144104,
0.651185154914856,
0.669230580329895,
0.6476225852966309,
0.4279799461364746,
0.2333444505929947,
0.45911407470703125,
0.19551695883274078,
0.4534284174442291,
0.33940044045448303,
0.24896925687789917,
0.34583666920661926,
0.22557371854782104,
0.37134164571762085,
0.2592180669307709,
0.35941603779792786,
0.274923175573349,
0.28496992588043213,
0.2848550081253052,
0.42396602034568787,
0.3979755640029907,
0.421336829662323,
0.17209702730178833,
0.6765570044517517,
0.3240082859992981,
0.24075062572956085,
0.4259849190711975,
0.11728010326623917,
0.24403712153434753
] | [
0.6061815023422241,
0.7321552038192749,
0.7357309460639954,
0.7353386878967285,
0.7149426937103271,
0.5914381146430969,
0.3986690044403076,
0.5986801385879517,
0.36019012331962585,
0.5898747444152832,
0.49500513076782227,
0.43668386340141296,
0.5256919860839844,
0.4178279638290405,
0.5461105108261108,
0.4276905059814453,
0.5341143608093262,
0.47176945209503174,
0.46603989601135254,
0.4587289094924927,
0.5621817708015442,
0.5444507598876953,
0.5788544416427612,
0.34323281049728394,
0.7479934692382812,
0.5236948728561401,
0.43381258845329285,
0.5816972255706787,
0.33191731572151184,
0.429338276386261
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
The Context-Dependent Additive Recurrent Neural Net | [
"External Memory Enhanced Sequence-to-Sequence Dialogue Systems",
"MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling",
"Hierarchical Imitation and Reinforcement Learning",
"A Dataset for Document Grounded Conversations",
"A Multi-View Fusion Neural Network for Answer Selection",
"Composite Task-Completion Dialogue System via Hierarchical Deep Reinforcement Learning",
"Faces engage us: photos with faces attract more likes and comments on Instagram",
"Web user behavioral profiling for user identification",
"Lightning protection system improvement on Extra High Voltage 500 kV Transmission Lines in Indonesia using extended mast terminal",
"Active Object Perceiver: Recognition-Guided Policy Learning for Object Searching on Mobile Robots",
"A REVIEW OF OUT-OF-AUTOCLAVE PREPREGS-MATERIAL PROPERTIES , PROCESS PHENOMENA AND MANUFACTURING CONSIDERATIONS",
"Promoting Well-Being: The Contribution of Emotional Intelligence",
"Microservices: How To Make Your Application Scale",
"TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings",
"On-Board Detection of Pedestrian Intentions",
"Blockchain contract: Securing a blockchain applied to smart contracts",
"Color Invariance",
"Unit selection in a concatenative speech synthesis system using a large speech database",
"Detecting code clones in binary executables",
"Impact of aluminum wire and ribbon bonding technologies on D2PAK package reliability during thermal cycling applications",
"CONTRIBUTIONS OF BANKING SECTOR IN ECONOMIC GROWTH : A Case of Pakistan",
"Extracting semantic representations from word co-occurrence statistics: stop-lists, stemming, and SVD.",
"Multimodal Named Entity Disambiguation for Noisy Social Media Posts",
"Data analytics in smart distribution networks: Applications and challenges",
"An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks",
"A secure end-to-end verifiable e-voting system using zero knowledge based blockchain",
"LASSO: A feature selection technique in predictive modeling for machine learning",
"ImageNet Large Scale Visual Recognition Challenge",
"Peristomal moisture-associated skin damage in adults with fecal ostomies: a comprehensive review and consensus.",
"Pixel-wise Attentional Gating for Parsimonious Pixel Labeling"
] | [
0.8563129901885986,
0.8379104137420654,
0.8493481874465942,
0.8319859504699707,
0.8511632084846497,
0.8631874918937683,
0.7822240591049194,
0.8271821141242981,
0.7850891351699829,
0.8445077538490295,
0.8049730062484741,
0.8233044743537903,
0.7908968329429626,
0.8138004541397095,
0.8400251269340515,
0.793736457824707,
0.8009746074676514,
0.8325939178466797,
0.8261715769767761,
0.7933053970336914,
0.76260906457901,
0.8300995826721191,
0.8205364346504211,
0.8188302516937256,
0.8306945562362671,
0.8358199000358582,
0.8350881338119507,
0.837867259979248,
0.7933734059333801,
0.8437343835830688
] | [
0.8226152658462524,
0.8007338643074036,
0.8013755083084106,
0.8119959831237793,
0.8178035020828247,
0.8208765983581543,
0.7602719664573669,
0.7886184453964233,
0.7590993642807007,
0.8078574538230896,
0.7575632333755493,
0.7806694507598877,
0.7560770511627197,
0.7739347219467163,
0.8188725709915161,
0.7789813280105591,
0.7849834561347961,
0.7983485460281372,
0.7957049012184143,
0.7446280121803284,
0.7431907057762146,
0.7993475794792175,
0.8031966686248779,
0.7687231302261353,
0.7607825398445129,
0.8063809871673584,
0.7826153635978699,
0.8241075873374939,
0.7472723126411438,
0.8066306114196777
] | [
0.810861349105835,
0.8068958520889282,
0.8035850524902344,
0.7920098304748535,
0.8155488967895508,
0.8120465874671936,
0.7709265351295471,
0.7674589157104492,
0.7394400835037231,
0.8080000877380371,
0.7519099712371826,
0.767983615398407,
0.7527960538864136,
0.7668404579162598,
0.7844243049621582,
0.7771766781806946,
0.7744998931884766,
0.7915826439857483,
0.7839076519012451,
0.7262965440750122,
0.7486928105354309,
0.7947069406509399,
0.7890889644622803,
0.7783797979354858,
0.7528692483901978,
0.7826071381568909,
0.8027133345603943,
0.7994215488433838,
0.7429173588752747,
0.7990806102752686
] | [
0.7016031742095947,
0.6060471534729004,
0.6202685832977295,
0.6020349860191345,
0.6500856876373291,
0.6615688800811768,
0.4678904414176941,
0.4783320426940918,
0.35673052072525024,
0.619324803352356,
0.37883418798446655,
0.3978986144065857,
0.37608805298805237,
0.5311625003814697,
0.5590605139732361,
0.40001171827316284,
0.47814705967903137,
0.6260859966278076,
0.4209384322166443,
0.3624040186405182,
0.4042116105556488,
0.6446203589439392,
0.5871065258979797,
0.4203154742717743,
0.43068447709083557,
0.4159410893917084,
0.602400541305542,
0.6410946249961853,
0.33762240409851074,
0.6338132619857788
] | [
0.6146010160446167,
0.506521463394165,
0.4702896177768707,
0.49723678827285767,
0.5143740177154541,
0.5494725704193115,
0.3225123882293701,
0.30692169070243835,
0.2126549482345581,
0.46546000242233276,
0.25050103664398193,
0.2143191248178482,
0.2397296130657196,
0.3774135708808899,
0.4240943193435669,
0.23822271823883057,
0.30077099800109863,
0.505150556564331,
0.25157588720321655,
0.2406398206949234,
0.2518426179885864,
0.5234768390655518,
0.46981677412986755,
0.2679905295372009,
0.25416359305381775,
0.2835601568222046,
0.457472026348114,
0.5455957651138306,
0.18916043639183044,
0.5095114707946777
] | [
0.7098789215087891,
0.6128763556480408,
0.644986093044281,
0.6201566457748413,
0.657240092754364,
0.6719650030136108,
0.5080584287643433,
0.5066080093383789,
0.38907498121261597,
0.638572096824646,
0.41601574420928955,
0.41893506050109863,
0.40493500232696533,
0.5507155656814575,
0.5903499126434326,
0.4284057319164276,
0.5166925191879272,
0.6412666440010071,
0.4590977132320404,
0.3915610909461975,
0.43295130133628845,
0.6543744802474976,
0.5941625833511353,
0.4311876893043518,
0.4546723961830139,
0.4418928027153015,
0.6127427220344543,
0.6580537557601929,
0.36804720759391785,
0.6479965448379517
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Effectiveness Correlates of Transformational and Transactional Leadership : A Meta-Analytic Review of The MLQ Literature | [
"Transformational Leadership and Job Satisfaction",
"LEADER-MEMBER EXCHANGE AS A MEDIATOR OF THE RELATIONSHIP BETWEEN TRANSFORMATIONAL LEADERSHIP AND FOLLOWERS ’ PERFORMANCE AND ORGANIZATIONAL CITIZENSHIP BEHAVIOR",
"BEHAVIORAL THEORIES OF LEADERSHIP : AN INTEGRATION AND META-ANALYTIC TEST OF THEIR RELATIVE VALIDITY",
"Friending your way up the ladder: Connecting massive multiplayer online game behaviors with offline leadership",
"Impact of Employees Motivation on Organizational Effectiveness",
"Ju n 20 03 DECOHERENCE , EINSELECTION , AND THE QUANTUM ORIGINS OF THE CLASSICAL",
"ParaGraphE: A Library for Parallel Knowledge Graph Embedding",
"Methodological proposal for process mining projects",
"A Rumor Events Detection Method Based on Deep Bidirectional GRU Neural Network",
"Flow and immersion in first-person shooters: measuring the player's gameplay experience",
"Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild",
"Federated Optimization: Distributed Optimization Beyond the Datacenter",
"Learning with Latent Language",
"Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks",
"Glucagon and regulation of glucose metabolism.",
"Nonlinear Analysis Methods for Reinforced Concrete Buildings with Shear walls",
"AVA: A large-scale database for aesthetic visual analysis",
"Design, Materials, and Mechanobiology of Biodegradable Scaffolds for Bone Tissue Engineering",
"Distant Supervision with Transductive Learning for Adverse Drug Reaction Identification from Electronic Medical Records",
"RDF Graph Embeddings for Content-based Recommender Systems",
"SMART POOL : Practical Decentralized Pooled Mining",
"Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images",
"Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search",
"Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning",
"Object Oriented Database Management Systems-Concepts, Advantages, Limitations and Comparative Study with Relational Database Management Systems",
"An Active Testing Model for Tracking Roads in Satellite Images",
"Punctuation Prediction for Unsegmented Transcript Based on Word Vector",
"Modeling documents with Generative Adversarial Networks",
"FINAL: Fast Attributed Network Alignment"
] | [
0.9046532511711121,
0.8811709880828857,
0.8776642084121704,
0.8365817070007324,
0.8532925844192505,
0.8029876947402954,
0.7776782512664795,
0.7972509264945984,
0.7810792922973633,
0.8124973773956299,
0.7894870042800903,
0.8005847930908203,
0.7996277809143066,
0.8084875345230103,
0.8260817527770996,
0.7744809985160828,
0.8052479028701782,
0.8048012852668762,
0.814972996711731,
0.7697587013244629,
0.8084267377853394,
0.7721515893936157,
0.7725356817245483,
0.8340222835540771,
0.8049032688140869,
0.7831534147262573,
0.7885153293609619,
0.7842497229576111,
0.7958616018295288
] | [
0.8592614531517029,
0.8569934368133545,
0.8744522333145142,
0.8051005005836487,
0.8172456622123718,
0.7653883695602417,
0.7495944499969482,
0.7795765399932861,
0.7539728879928589,
0.7750555872917175,
0.7517210245132446,
0.7770802974700928,
0.7730780839920044,
0.7671781778335571,
0.7700910568237305,
0.746126651763916,
0.7583475112915039,
0.7662041187286377,
0.7789642810821533,
0.7272318601608276,
0.7799848318099976,
0.7482404708862305,
0.7418627738952637,
0.7920871376991272,
0.7860212922096252,
0.7412426471710205,
0.7544521689414978,
0.7425453662872314,
0.7633559703826904
] | [
0.867417573928833,
0.8490582704544067,
0.8591843247413635,
0.8050583600997925,
0.7821533679962158,
0.7444342374801636,
0.75657719373703,
0.7513519525527954,
0.7287221550941467,
0.764176070690155,
0.7341731190681458,
0.766741156578064,
0.7590186595916748,
0.7633939981460571,
0.7725812196731567,
0.7262204885482788,
0.7381030321121216,
0.7514315247535706,
0.7878702878952026,
0.7284600138664246,
0.7643066644668579,
0.7301447987556458,
0.7420003414154053,
0.7495180368423462,
0.7655314207077026,
0.7146012187004089,
0.7646667957305908,
0.7266049385070801,
0.7698308229446411
] | [
0.7837094068527222,
0.7933939695358276,
0.8256199359893799,
0.6476393938064575,
0.6495848894119263,
0.3999980688095093,
0.4252162575721741,
0.49765127897262573,
0.3980177640914917,
0.4929047226905823,
0.3475656509399414,
0.3869846761226654,
0.45468974113464355,
0.42161840200424194,
0.4107542634010315,
0.4320940375328064,
0.41391628980636597,
0.38900843262672424,
0.4372997283935547,
0.4299708902835846,
0.4419388771057129,
0.3435841202735901,
0.37385305762290955,
0.504747748374939,
0.40699833631515503,
0.3690418303012848,
0.36629149317741394,
0.39482009410858154,
0.4308234751224518
] | [
0.7470273375511169,
0.741077184677124,
0.7797871232032776,
0.5527768135070801,
0.5528493523597717,
0.2520076632499695,
0.2671326994895935,
0.34598028659820557,
0.24863432347774506,
0.33334219455718994,
0.21842850744724274,
0.2365817278623581,
0.27988624572753906,
0.2726413309574127,
0.26048707962036133,
0.2966417074203491,
0.23979251086711884,
0.20815791189670563,
0.30328020453453064,
0.2761547565460205,
0.2879331409931183,
0.18055209517478943,
0.22777758538722992,
0.3685134947299957,
0.24404139816761017,
0.2095249444246292,
0.20834076404571533,
0.23200464248657227,
0.2893606424331665
] | [
0.7882330417633057,
0.7958121299743652,
0.8246425986289978,
0.6714903116226196,
0.6457386612892151,
0.4444179832935333,
0.4489784240722656,
0.5188694000244141,
0.4289790987968445,
0.5212004780769348,
0.3783186674118042,
0.42004701495170593,
0.47110527753829956,
0.45017293095588684,
0.43242090940475464,
0.4624646306037903,
0.4408453702926636,
0.4139240086078644,
0.4717216193675995,
0.45260512828826904,
0.46359357237815857,
0.3831244707107544,
0.4015820622444153,
0.5256412625312805,
0.4365813732147217,
0.4033348560333252,
0.3984575569629669,
0.42390531301498413,
0.46356314420700073
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
The training intensity distribution among well-trained and elite endurance athletes | [
"Intensity- and Duration-Based Options to Regulate Endurance Training",
"Power-duration relationship: Physiology, fatigue, and the limits of human performance.",
"The scientific basis for high-intensity interval training: optimising training programmes and maximising performance in highly trained endurance athletes.",
"Critical Power: An Important Fatigue Threshold in Exercise Physiology.",
"The effect of strength training on performance in endurance athletes.",
"EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering",
"A Course Based on Open Organization Principles",
"Scene Graph Generation by Iterative Message Passing",
"Choice of Agile Methodologies in Software Development : A Vendor Perspective",
"Objects as Attributes for Scene Classification",
"Linked Data: Evolving the Web into a Global Data Space",
"Ranking of fuzzy numbers based on alpha-distance",
"Residual Networks are Exponential Ensembles of Relatively Shallow Networks",
"Risky Business: Emotion, Decision-Making, and Addiction",
"Business culture and dishonesty in the banking industry",
"On the emergent properties of artificial stock markets : the efficient market hypothesis and the rational expectations hypothesis",
"Pattern-based synonym and antonym extraction",
"3D Human Pose Estimation = 2D Pose Estimation + Matching",
"Tendon elasticity and muscle function.",
"ENHANCING READING COMPREHENSION THROUGH TASK-BASED WRITING ACTIVITIES: AN EXPERIMENTAL STUDY",
"Wheel Transformer: A Wheel-Leg Hybrid Robot With Passive Transformable Wheels",
"Estimating the sample size for a pilot randomised trial to minimise the overall trial sample size for the external pilot and main trial for a continuous outcome variable",
"Combination of Cloud Computing and Internet of Things (IOT) in Medical Monitoring Systems",
"Parent-child relationships and offspring's positive mental wellbeing from adolescence to early older age.",
"Spatial Transformer Networks",
"Designing and Evaluating Explanations for Recommender Systems",
"Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models",
"Gender Role Portrayal and the Disney Princesses",
"Learning Fashion Compatibility with Bidirectional LSTMs"
] | [
0.9013713002204895,
0.8518402576446533,
0.8910701274871826,
0.8615061044692993,
0.9244979619979858,
0.8108224868774414,
0.7952307462692261,
0.7828940153121948,
0.7872531414031982,
0.7858411073684692,
0.7894256711006165,
0.8118503093719482,
0.8094084858894348,
0.8045975565910339,
0.7841562032699585,
0.8161694407463074,
0.8017317056655884,
0.8067945241928101,
0.8664603233337402,
0.81089186668396,
0.780928373336792,
0.840523362159729,
0.8092714548110962,
0.8180044293403625,
0.7808425426483154,
0.79526686668396,
0.7765781879425049,
0.7807561159133911,
0.8010974526405334
] | [
0.8782970309257507,
0.8266419172286987,
0.8862395286560059,
0.8281643390655518,
0.8926658034324646,
0.7598187923431396,
0.7956700325012207,
0.7548562288284302,
0.7744730710983276,
0.7525405287742615,
0.7522231936454773,
0.7790337800979614,
0.7769585847854614,
0.7870737314224243,
0.7841203212738037,
0.7812457084655762,
0.7571837902069092,
0.7794464826583862,
0.837022066116333,
0.7632368803024292,
0.7259281873703003,
0.8015739917755127,
0.7708035707473755,
0.7955595254898071,
0.7588764429092407,
0.7750505208969116,
0.747924268245697,
0.7752166986465454,
0.7526947855949402
] | [
0.8619048595428467,
0.8292942047119141,
0.8744945526123047,
0.8261765241622925,
0.8686263561248779,
0.7445459365844727,
0.7430404424667358,
0.7418113946914673,
0.7423884868621826,
0.7293821573257446,
0.7431633472442627,
0.7584395408630371,
0.7823492288589478,
0.75478196144104,
0.7537482976913452,
0.758411169052124,
0.7476052045822144,
0.7743746638298035,
0.8064306378364563,
0.7488536834716797,
0.7352931499481201,
0.770092248916626,
0.7448216676712036,
0.7812705039978027,
0.7592308521270752,
0.7610982656478882,
0.7462718486785889,
0.7480382323265076,
0.7610421180725098
] | [
0.8247877359390259,
0.7421990633010864,
0.8571726083755493,
0.7240746021270752,
0.7867328524589539,
0.4218665361404419,
0.48933345079421997,
0.39570266008377075,
0.5279726982116699,
0.41344887018203735,
0.45592647790908813,
0.46881628036499023,
0.5094761848449707,
0.49971333146095276,
0.39449673891067505,
0.4868377149105072,
0.42923474311828613,
0.43030819296836853,
0.5665711760520935,
0.43976980447769165,
0.4059702157974243,
0.5235021114349365,
0.45341262221336365,
0.49192070960998535,
0.43066632747650146,
0.4410164952278137,
0.40190643072128296,
0.3976798951625824,
0.41396796703338623
] | [
0.7768415808677673,
0.6549429297447205,
0.7833695411682129,
0.6437678337097168,
0.7141373753547668,
0.2681844234466553,
0.3792426288127899,
0.2623695135116577,
0.39363276958465576,
0.2570379972457886,
0.3011479377746582,
0.31749045848846436,
0.3697168231010437,
0.3533346354961395,
0.22835269570350647,
0.31873413920402527,
0.2640877366065979,
0.31630444526672363,
0.457558810710907,
0.29718634486198425,
0.24522806704044342,
0.4313143193721771,
0.33098068833351135,
0.32896149158477783,
0.29520928859710693,
0.2888427674770355,
0.262986958026886,
0.2585781514644623,
0.2448863387107849
] | [
0.8376801013946533,
0.751219630241394,
0.8568111062049866,
0.7391489744186401,
0.7899741530418396,
0.46775978803634644,
0.5317708253860474,
0.44098764657974243,
0.5613864064216614,
0.45856812596321106,
0.5009630918502808,
0.5152965784072876,
0.5622751116752625,
0.5445085763931274,
0.4641304612159729,
0.5415699481964111,
0.4771828055381775,
0.47219318151474,
0.5956193208694458,
0.48182904720306396,
0.4511013627052307,
0.5568699240684509,
0.49095815420150757,
0.546535313129425,
0.4887213110923767,
0.48277580738067627,
0.45625072717666626,
0.48212307691574097,
0.46037015318870544
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Graph Convolutional Matrix Completion | [
"LEARNING NODE REPRESENTATIONS",
"Learning Graph Convolution Filters from Data Manifold",
"Inductive Representation Learning on Large Graphs",
"GraphRNN: A Deep Generative Model for Graphs",
"Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum Disorder Classification",
"Brain and cognitive reserve: Translation via network control theory",
"\"I'd only let you down\": Guilt proneness and the avoidance of harmful interdependence.",
"Analysis of data in the form of graphs",
"Transfer learning using computational intelligence: A survey",
"VConv-DAE: Deep Volumetric Shape Learning Without Object Labels",
"The first decade of the community of inquiry framework: A retrospective",
"Semantic representation learning for discourse processing",
"DenseCap: Fully Convolutional Localization Networks for Dense Captioning",
"PyFlag - An advanced network forensic framework",
"Generalizing and Improving Bilingual Word Embedding Mappings with a Multi-Step Framework of Linear Transformations",
"Influence of ploidy level on morphology, growth and drought susceptibility in Spathiphyllum wallisii",
"IT Governance : How Top Performers Manage IT Decision Rights for Superior Results",
"Interest cash: an application-based countermeasure against interest flooding for dynamic content in named data networking",
"Efficient Deep Web Crawling Using Reinforcement Learning",
"PuppetGAN: Transferring Disentangled Properties from Synthetic to Real Images",
"Development of monitoring system for smart farming using Progressive Web App",
"Adapting Markov Decision Process for Search Result Diversification",
"Happy Chatbot, Happy User",
"The /spl phi/ accrual failure detector",
"Bitcoin Block Withholding Attack: Analysis and Mitigation",
"Baromagnetic Effect in the Hexagonal Mn3Sn System",
"Information quality benchmarks: product and service performance",
"FINANCIAL MARKET CONTAGION IN THE ASIAN CRISIS",
"Wearable Sensors for Human Activity Monitoring: A Review",
"WEAKLY SUPERVISED SEGMENTATION-AIDED CLASSIFICATION OF URBAN SCENES FROM 3 D LIDAR POINT CLOUDS"
] | [
0.8120636940002441,
0.9094173908233643,
0.864649772644043,
0.8612984418869019,
0.8729013204574585,
0.8144689798355103,
0.7768713235855103,
0.8491657972335815,
0.8236528635025024,
0.8596710562705994,
0.7948850393295288,
0.8277368545532227,
0.8605343699455261,
0.81557297706604,
0.8252744078636169,
0.7681369781494141,
0.7917366027832031,
0.7996214628219604,
0.84444260597229,
0.8349126577377319,
0.7948391437530518,
0.8240618705749512,
0.8226274251937866,
0.828254759311676,
0.8013693690299988,
0.7952098250389099,
0.7946466207504272,
0.7928383350372314,
0.7784167528152466,
0.8241307139396667
] | [
0.8385323286056519,
0.8763110637664795,
0.8413333892822266,
0.8484967350959778,
0.8393691778182983,
0.8027037382125854,
0.7814533710479736,
0.8290762901306152,
0.7972819209098816,
0.8209042549133301,
0.7644663453102112,
0.7953263521194458,
0.8358727693557739,
0.813105583190918,
0.8056809902191162,
0.7381856441497803,
0.7460606694221497,
0.777255654335022,
0.8103905916213989,
0.8188098073005676,
0.7667185068130493,
0.7731070518493652,
0.8252423405647278,
0.806430459022522,
0.7969896197319031,
0.7634576559066772,
0.7726329565048218,
0.7801117897033691,
0.7576005458831787,
0.7816826701164246
] | [
0.8300871849060059,
0.8760810494422913,
0.8385781645774841,
0.8524368405342102,
0.85371994972229,
0.7996586561203003,
0.7525349855422974,
0.8363876342773438,
0.8126252293586731,
0.8258296847343445,
0.7885189056396484,
0.7852048873901367,
0.826955258846283,
0.8273033499717712,
0.8015379309654236,
0.7182950973510742,
0.7530658841133118,
0.778174638748169,
0.8134393692016602,
0.8166512250900269,
0.7498269081115723,
0.7810653448104858,
0.8061074018478394,
0.7967786192893982,
0.7816175818443298,
0.7586314678192139,
0.7755047678947449,
0.7520092725753784,
0.7554539442062378,
0.7738862037658691
] | [
0.7238617539405823,
0.8135597109794617,
0.7794196605682373,
0.7451839447021484,
0.7190611362457275,
0.5089249610900879,
0.355932354927063,
0.6071224212646484,
0.5489627122879028,
0.6092392802238464,
0.4631148874759674,
0.5283758640289307,
0.6320305466651917,
0.4498746991157532,
0.5960097312927246,
0.33538419008255005,
0.3045780658721924,
0.4225764870643616,
0.5226753354072571,
0.6311582326889038,
0.3758782744407654,
0.47213754057884216,
0.38586705923080444,
0.40814828872680664,
0.353085458278656,
0.34307587146759033,
0.3928510844707489,
0.35418087244033813,
0.42666178941726685,
0.588581919670105
] | [
0.6087559461593628,
0.7565221190452576,
0.7185133695602417,
0.6886663436889648,
0.6658508777618408,
0.3942716717720032,
0.23884189128875732,
0.5409044027328491,
0.45333606004714966,
0.499458909034729,
0.3265186548233032,
0.3918020725250244,
0.4796959161758423,
0.3204959034919739,
0.4815075993537903,
0.21336406469345093,
0.16916313767433167,
0.2649734914302826,
0.36731258034706116,
0.5090656280517578,
0.23592069745063782,
0.31433820724487305,
0.27052897214889526,
0.27298906445503235,
0.2234937846660614,
0.2359892576932907,
0.250933974981308,
0.24469298124313354,
0.2583472430706024,
0.48322251439094543
] | [
0.7265664339065552,
0.8099836111068726,
0.7790340781211853,
0.7501388788223267,
0.7265301942825317,
0.5285402536392212,
0.3891149163246155,
0.6201188564300537,
0.5649933218955994,
0.6179043650627136,
0.4860612154006958,
0.5504692792892456,
0.6390882730484009,
0.4770880937576294,
0.6056073904037476,
0.3643760085105896,
0.34576934576034546,
0.459159255027771,
0.5464487671852112,
0.6417347192764282,
0.39229679107666016,
0.5015619993209839,
0.4302974343299866,
0.4500216245651245,
0.3985992968082428,
0.3677927255630493,
0.4222114384174347,
0.39848271012306213,
0.44378548860549927,
0.5974491834640503
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Capstones 5-1-2012 Valley of Fire Petroglyphs : A New Perspective on an Old Idea | [
"Celtic Elements in Northwestern Spain in Pre-Roman times",
"Google Earth for the Study of Ancient Civilizations",
"EDZNA : EARLIEST ASTRONOMICAL CENTER OF THE MAYA ?",
"The Pleiades : the celestial herd of ancient timekeepers",
"ASTR NOMICAL ALIGN ENTS AT THE TE PLO MAYOR OF TENOC TITLAN, MEXICO",
"Submaximal exercise testing: clinical application and interpretation.",
"Operation of a multiagent system for microgrid control",
"EMI: Exploration with Mutual Information",
"A 3D Face Model for Pose and Illumination Invariant Face Recognition",
"Parser Features for Sentence Grammaticality Classification",
"THE STAKEHOLDER MODEL REFINED",
"Intelligent travel chatbot for predictive recommendation in echo platform",
"Wide-Slice Residual Networks for Food Recognition",
"Security and privacy for augmented reality systems",
"Corpus Specific Stop Words to Improve the Textual Analysis in Scientometrics",
"A Survey of Spam Detection Methods on Twitter",
"Wheelchair obstacle avoidance based on fuzzy controller and ultrasonic sensors",
"Prediction of Bitcoin prices with machine learning methods using time series data",
"Antimicrobial potential of bacteriocins: in therapy, agriculture and food preservation.",
"Recurrent Memory Networks for Language Modeling",
"Data Modeling and Data Analytics: A Survey from a Big Data Perspective",
"Moringa oleifera Lam: Targeting Chemoprevention.",
"A Survey and Critique of American Sign Language Natural Language Generation and Machine Translation Systems",
"Symbolic AI versus Connectionism in Music Research",
"Predicting Attrition in Financial Data with Machine Learning Algorithms",
"Automatically Reinforcing a Game AI",
"Optimizing Compilers for Modern Architectures: A Dependence-Based Approach [Book Review]",
"Identifying Meaningful Citations",
"Musical anhedonia: selective loss of emotional experience in listening to music."
] | [
0.8163421750068665,
0.829114556312561,
0.8161591291427612,
0.8291726112365723,
0.7841847538948059,
0.7901064157485962,
0.7795131206512451,
0.8059282302856445,
0.8042483329772949,
0.7965955138206482,
0.7935216426849365,
0.811150312423706,
0.7998916506767273,
0.8017538785934448,
0.8122031688690186,
0.7970196008682251,
0.8019973039627075,
0.8102565407752991,
0.7946280241012573,
0.8014741539955139,
0.8223438262939453,
0.8156863451004028,
0.8195704221725464,
0.792477011680603,
0.7888749241828918,
0.7914690375328064,
0.8252649307250977,
0.8136152029037476,
0.8070905208587646
] | [
0.7975412607192993,
0.8187118768692017,
0.7845382690429688,
0.8023653030395508,
0.7851863503456116,
0.7756253480911255,
0.7610821723937988,
0.7962242364883423,
0.7815014123916626,
0.7800267934799194,
0.7794491052627563,
0.7735055685043335,
0.7779994606971741,
0.7782849073410034,
0.7845297455787659,
0.7805575132369995,
0.7680059671401978,
0.78821861743927,
0.7887416481971741,
0.7703860402107239,
0.7928513288497925,
0.8080717921257019,
0.8164535164833069,
0.7837522625923157,
0.756951630115509,
0.7852493524551392,
0.7917912602424622,
0.8019609451293945,
0.7801790237426758
] | [
0.781760036945343,
0.7989472150802612,
0.7868722081184387,
0.7863880395889282,
0.7722141146659851,
0.739054799079895,
0.7258561849594116,
0.7795807123184204,
0.746469259262085,
0.7417012453079224,
0.7603003978729248,
0.7416334748268127,
0.7622858285903931,
0.7378291487693787,
0.7655616998672485,
0.7472622990608215,
0.746376633644104,
0.7696584463119507,
0.7550214529037476,
0.7615812420845032,
0.7571959495544434,
0.77396160364151,
0.7843242883682251,
0.7729466557502747,
0.7515207529067993,
0.7635032534599304,
0.7598848342895508,
0.7691162824630737,
0.7371217012405396
] | [
0.6063110828399658,
0.6262094974517822,
0.55024254322052,
0.5964843034744263,
0.5723778605461121,
0.3805060386657715,
0.36414477229118347,
0.4681462347507477,
0.3906838297843933,
0.3607795536518097,
0.4196251630783081,
0.3518125116825104,
0.3860911726951599,
0.4655023217201233,
0.41768378019332886,
0.377804696559906,
0.333113431930542,
0.3290438652038574,
0.40947583317756653,
0.3668777346611023,
0.43507230281829834,
0.36698973178863525,
0.4367121458053589,
0.41940736770629883,
0.36866676807403564,
0.37912800908088684,
0.38115349411964417,
0.47946301102638245,
0.37326347827911377
] | [
0.5441015362739563,
0.573785662651062,
0.5055338144302368,
0.5188256502151489,
0.5655897259712219,
0.2293626368045807,
0.2569340467453003,
0.36101606488227844,
0.27861589193344116,
0.2651011645793915,
0.28370875120162964,
0.2428947389125824,
0.2717500925064087,
0.39085614681243896,
0.28762125968933105,
0.24316999316215515,
0.22296692430973053,
0.21300676465034485,
0.2624219059944153,
0.2589184045791626,
0.31263530254364014,
0.2205158919095993,
0.34928128123283386,
0.316901832818985,
0.25078707933425903,
0.29083162546157837,
0.28174734115600586,
0.3731938302516937,
0.22465404868125916
] | [
0.6415386199951172,
0.6493639945983887,
0.5657767057418823,
0.6420249938964844,
0.6040411591529846,
0.42401060461997986,
0.4041078984737396,
0.4878602623939514,
0.44533997774124146,
0.4044117331504822,
0.46431320905685425,
0.3917665183544159,
0.43073785305023193,
0.4968792498111725,
0.47136974334716797,
0.42886656522750854,
0.3817087411880493,
0.3844220042228699,
0.4445428252220154,
0.4072924256324768,
0.4880906045436859,
0.40983814001083374,
0.47249048948287964,
0.4639458656311035,
0.4303356111049652,
0.4246891140937805,
0.4180062413215637,
0.5087562203407288,
0.42622286081314087
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Capturing Deep Correlations with 2-Way Nets | [
"CariGAN: Caricature Generation through Weakly Paired Adversarial Learning",
"A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation",
"BranchGAN: Branched Generative Adversarial Networks for Scale-Disentangled Learning and Synthesis of Images.",
"A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation",
"Weak models for insider threat detection",
"Temporal people-to-people recommendation on social networks with sentiment-based matrix factorization",
"Parser Features for Sentence Grammaticality Classification",
"Wiederverwendbarkeit von Programmieraufgaben durch Interoperabilität von Programmierlernsystemen",
"Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies",
"Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings",
"Fast Parameter Adaptation for Few-shot Image Captioning and Visual Question Answering",
"Self-organized criticality.",
"Learning Hierarchical Semantic Image Manipulation through Structured Representations",
"On separating overlapped fingerprints",
"What makes distributed practice effective?",
"Inexperience and experience with online stores: the importance of TAM and trust",
"Semi-supervised Multitask Learning for Sequence Labeling",
"English in South Africa",
"Weakly Supervised Learning for Whole Slide Lung Cancer Image Classification",
"The FinTech Opportunity",
"The loss of skeletal muscle strength, mass, and quality in older adults: the health, aging and body composition study.",
"Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.",
"Amazon dynamoDB: a seamlessly scalable non-relational database service",
"A Complexity-Invariant Distance Measure for Time Series",
"Amodel of HIV / AIDS population dynamics including ARV treatment and pre-exposure prophylaxis",
"Dynamic-Hash-Table Based Public Auditing for Secure Cloud Storage",
"Optical Character Recognition Techniques: A survey",
"Multi-Modal Knowledge Representation Learning via Webly-Supervised Relationships Mining",
"A review of unsupervised feature learning and deep learning for time-series modeling"
] | [
0.85628342628479,
0.824953556060791,
0.8349152207374573,
0.8437818288803101,
0.8431975841522217,
0.8303823471069336,
0.8199889659881592,
0.7661690711975098,
0.8268161416053772,
0.8359816670417786,
0.8454049229621887,
0.7881699204444885,
0.8457822799682617,
0.8367610573768616,
0.770125687122345,
0.7766702175140381,
0.8372341394424438,
0.748734712600708,
0.8479695916175842,
0.7861548662185669,
0.7695907950401306,
0.8304912447929382,
0.8157569169998169,
0.8268715143203735,
0.7854164838790894,
0.8066210746765137,
0.8160039186477661,
0.8492165803909302,
0.8505967855453491
] | [
0.8138303756713867,
0.7991145849227905,
0.8154528141021729,
0.8138574957847595,
0.8311593532562256,
0.7889701128005981,
0.8142414689064026,
0.7781410217285156,
0.831497311592102,
0.8091976642608643,
0.8379132747650146,
0.7944648265838623,
0.8207718133926392,
0.8333473205566406,
0.7585110664367676,
0.7736060619354248,
0.8171495199203491,
0.7536115646362305,
0.8081979155540466,
0.8036155700683594,
0.7786529064178467,
0.8311746120452881,
0.7991536855697632,
0.8187530040740967,
0.8081392049789429,
0.7740670442581177,
0.8233504295349121,
0.8356615304946899,
0.8314220905303955
] | [
0.8024518489837646,
0.7751922011375427,
0.8049331307411194,
0.8054862022399902,
0.7813941240310669,
0.803074061870575,
0.7774806022644043,
0.7834458947181702,
0.8091461658477783,
0.7821705937385559,
0.7831661701202393,
0.7972382307052612,
0.8059662580490112,
0.8014718294143677,
0.7701552510261536,
0.7806265354156494,
0.8037258982658386,
0.7280396819114685,
0.7698464393615723,
0.7756602764129639,
0.7735016942024231,
0.8162187337875366,
0.7933176755905151,
0.7984565496444702,
0.768154501914978,
0.7812021374702454,
0.770334005355835,
0.8231760263442993,
0.8255987167358398
] | [
0.6320128440856934,
0.6202182173728943,
0.6624113321304321,
0.6296666860580444,
0.589272141456604,
0.5859153270721436,
0.5495032072067261,
0.45558327436447144,
0.6155333518981934,
0.5159000158309937,
0.610707700252533,
0.5667098164558411,
0.6578967571258545,
0.5177383422851562,
0.46010053157806396,
0.4561208486557007,
0.618106484413147,
0.26954472064971924,
0.5942411422729492,
0.4266863167285919,
0.4341779053211212,
0.565946102142334,
0.5027276277542114,
0.6369258165359497,
0.3840498924255371,
0.41541633009910583,
0.4996701180934906,
0.7202892303466797,
0.6735905408859253
] | [
0.5336188077926636,
0.5127731561660767,
0.5517030358314514,
0.5302951335906982,
0.45295828580856323,
0.42630016803741455,
0.38111376762390137,
0.29057884216308594,
0.44666922092437744,
0.3634452819824219,
0.4361673593521118,
0.4374748766422272,
0.5236108303070068,
0.38165950775146484,
0.3678671419620514,
0.27169668674468994,
0.46767401695251465,
0.15808063745498657,
0.47180190682411194,
0.2929336428642273,
0.2657485008239746,
0.4271532893180847,
0.3473754823207855,
0.48277604579925537,
0.2408168613910675,
0.2734258770942688,
0.3299240171909332,
0.5914242267608643,
0.559807300567627
] | [
0.6507145166397095,
0.6238440275192261,
0.6632848978042603,
0.6408736705780029,
0.5996087789535522,
0.5988081097602844,
0.5667836666107178,
0.4956240952014923,
0.6329679489135742,
0.5317064523696899,
0.6179085969924927,
0.5920913815498352,
0.6605031490325928,
0.5491387844085693,
0.4858606457710266,
0.473743200302124,
0.6260753273963928,
0.2668689787387848,
0.6086364984512329,
0.45427989959716797,
0.45354366302490234,
0.5804697871208191,
0.5324785709381104,
0.6410747170448303,
0.4140767753124237,
0.44832462072372437,
0.5120058059692383,
0.7223503589630127,
0.6687246561050415
] | [
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Interviewing in Qualitative Research : A Methodological Discussion | [
"Approaches to reflexivity in qualitative research.",
"Teaching thematic analysis: Overcoming challenges and developing strategies for effective learning",
"Communities of Practice A Research Paradigm for the Mixed Methods Approach",
"Developing standards for reporting implementation studies of complex interventions (StaRI): a systematic review and e-Delphi",
"Making sense of ethnography and medical education.",
"Deep Neural Network for Real-Time Autonomous Indoor Navigation",
"Brain Computer Interfaces, a Review",
"Improving Neural Networks with Dropout",
"The anatomy of the aging face: volume loss and changes in 3-dimensional topography.",
"Action-driven 3D indoor scene evolution",
"Local Decorrelation For Improved Pedestrian Detection",
"Detecting Nastiness in Social Media",
"Long-Range Low-Power Wireless Networks and Sampling Strategies in Electricity Metering",
"Multicast Routing for Multimedia Communications in the Internet of Things",
"The AGI Containment Problem",
"General Compensation Method for a Marchand Balun With an Arbitrary Connecting Segment Between the Balance Ports",
"Reverse engineering the communications protocol of an RFID public transportation card",
"Evading Machine Learning Malware Detection",
"What We Know About Leadership",
"Victim derogation and victim enhancement as alternate routes to system justification.",
"A Randomized Controlled Trial Determining Variances in Ostomy Skin Conditions and the Economic Impact (ADVOCATE Trial)",
"Market integration and market structure in the European soft drinks industry : always Coca-Cola ?",
"Like: The Discourse Particle and Semantics",
"Big data team process methodologies: A literature review and the identification of key factors for a project's success",
"Some new directions in control theory inspired by systems biology.",
"Being a DevOps Developer",
"Comparative Analysis of Machine Learning Algorithms on Different Datasets",
"Building Organizational Trust",
"Friend or Foe?: Your Wearable Devices Reveal Your Personal PIN",
"Supervised deep learning embeddings for the prediction of cervical cancer diagnosis"
] | [
0.8949830532073975,
0.8315470814704895,
0.8497017621994019,
0.8466500639915466,
0.8379396200180054,
0.7636258602142334,
0.8218981027603149,
0.7760624885559082,
0.8184959292411804,
0.7818794250488281,
0.7850875854492188,
0.8060657978057861,
0.7852665185928345,
0.7868068814277649,
0.7958218455314636,
0.7787504196166992,
0.7949897050857544,
0.7826205492019653,
0.7905470132827759,
0.8271359205245972,
0.8348170518875122,
0.816298246383667,
0.8260278701782227,
0.8412913084030151,
0.8084500432014465,
0.8031032681465149,
0.7948956489562988,
0.7875844240188599,
0.7934216260910034,
0.785210132598877
] | [
0.8525854349136353,
0.7903769016265869,
0.8241177797317505,
0.7968107461929321,
0.8244993686676025,
0.7448573708534241,
0.7957189679145813,
0.7667538523674011,
0.7962112426757812,
0.7507299184799194,
0.7539886236190796,
0.7576056122779846,
0.7712819576263428,
0.7700220942497253,
0.7638061046600342,
0.760257363319397,
0.7780612707138062,
0.7602730393409729,
0.7794301509857178,
0.7945622205734253,
0.7911556959152222,
0.7787343263626099,
0.7981030941009521,
0.8221208453178406,
0.7834304571151733,
0.8008597493171692,
0.7782086133956909,
0.7899408340454102,
0.7751724720001221,
0.7593764066696167
] | [
0.8336091041564941,
0.7916442155838013,
0.783745288848877,
0.7749519944190979,
0.7833924293518066,
0.745248556137085,
0.7744921445846558,
0.7576048374176025,
0.7799088954925537,
0.7249616384506226,
0.7252558469772339,
0.7660298347473145,
0.753710150718689,
0.7539540529251099,
0.7742409706115723,
0.741884171962738,
0.7649753093719482,
0.7279457449913025,
0.7654348611831665,
0.7669174671173096,
0.7829605340957642,
0.736747682094574,
0.7789173126220703,
0.7931908369064331,
0.7614200115203857,
0.7715242505073547,
0.7425581812858582,
0.7556851506233215,
0.762542188167572,
0.7517716884613037
] | [
0.7862628698348999,
0.6208063364028931,
0.6774592399597168,
0.6222560405731201,
0.688483476638794,
0.35703355073928833,
0.454476535320282,
0.4356149435043335,
0.44280314445495605,
0.39920657873153687,
0.36851972341537476,
0.4519749879837036,
0.4405444264411926,
0.38571128249168396,
0.4928668141365051,
0.3252759873867035,
0.4265947639942169,
0.35383111238479614,
0.5270171165466309,
0.5557500123977661,
0.4655778110027313,
0.4552611708641052,
0.5325779914855957,
0.5704257488250732,
0.4412038028240204,
0.4718691110610962,
0.445052832365036,
0.5776408314704895,
0.435982346534729,
0.4067833423614502
] | [
0.7588062882423401,
0.5302587747573853,
0.5923368334770203,
0.5138275623321533,
0.6036412715911865,
0.1923895627260208,
0.29668641090393066,
0.2730335295200348,
0.2975285053253174,
0.23602847754955292,
0.2314194142818451,
0.2815384864807129,
0.2939178943634033,
0.21962054073810577,
0.36440253257751465,
0.21208736300468445,
0.284153014421463,
0.20037783682346344,
0.43067365884780884,
0.43138885498046875,
0.317562073469162,
0.288982629776001,
0.3991926908493042,
0.4495956301689148,
0.2669558525085449,
0.36571064591407776,
0.27240484952926636,
0.4467357397079468,
0.3113666772842407,
0.2380008101463318
] | [
0.7777625322341919,
0.6417372226715088,
0.6926242113113403,
0.644110918045044,
0.6895266771316528,
0.3879726827144623,
0.48465168476104736,
0.4620997905731201,
0.4804118573665619,
0.42600375413894653,
0.404981404542923,
0.4784438908100128,
0.4749103784561157,
0.42131203413009644,
0.5279570817947388,
0.36424386501312256,
0.4629143178462982,
0.389961838722229,
0.5523090362548828,
0.5836911797523499,
0.4933778643608093,
0.49899590015411377,
0.5522360801696777,
0.5944448709487915,
0.4858234226703644,
0.4782617688179016,
0.4798484742641449,
0.6019524931907654,
0.4859723746776581,
0.4292430877685547
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Lightweight Cryptography for the Internet of Things | [
"Cryptography on FPGAs: State of the Art Implementations and Attacks",
"Addressing Security and Privacy Challenges in Internet of Things",
"Lightweight Cryptography - Cryptographic Engineering for a Pervasive World",
"Securing balise-based train control systems using cryptographic random fountains",
"A Secure Low-Cost Edge Device Authentication Scheme for the Internet of Things",
"Validation in interpretive management accounting research",
"Speeding up Semantic Segmentation for Autonomous Driving",
"Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms",
"A novel Maximum Power Point tracking control of photovoltaic system under partial and rapidly fluctuating shadow conditions using Differential Evolution",
"Plagiarism Meets Paraphrasing: Insights for the Next Generation in Automatic Plagiarism Detection",
"Energy-Efficient UAV Communication With Trajectory Optimization",
"Active Detection and Localization of Textureless Objects in Cluttered Environments",
"QuickNet: Maximizing Efficiency and Efficacy in Deep Architectures",
"Dynamic Network Surgery for Efficient DNNs",
"Editorial - Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research",
"Secure Control Systems: A Quantitative Risk Management Approach",
"Instance-Dependent PU Learning by Bayesian Optimal Relabeling",
"Videoconferencing in Business Meetings: An Affordance Perspective",
"AI-based Game Design Patterns",
"Long-term functional and radiographic outcomes in 243 operated ankle fractures",
"On Detecting Spatial Outliers",
"Chemi-net: a graph convolutional network for accurate drug property prediction",
"Impaired decision making following 49 h of sleep deprivation.",
"Topological insulators in three dimensions.",
"Agricultural technology and its societal implications",
"The errors, insights and lessons of famous AI predictions - and what they mean for the future",
"Deep Machine Learning and Neural Networks: An Overview",
"Survey of Network on Chip (NoC) Architectures & Contributions",
"Comparative studies on 3 G , 4 G and 5 G wireless technology",
"Sliding-mode control for trajectory-tracking of a Wheeled Mobile Robot in presence of uncertainties"
] | [
0.8839972615242004,
0.8925356864929199,
0.9306394457817078,
0.8446972370147705,
0.9065198302268982,
0.788792610168457,
0.8320658802986145,
0.8036772608757019,
0.7939726114273071,
0.8124570846557617,
0.8393774628639221,
0.8202527165412903,
0.8398813605308533,
0.8472918272018433,
0.8239635825157166,
0.8193644285202026,
0.8134328722953796,
0.7951312065124512,
0.828134298324585,
0.7853043079376221,
0.8139243125915527,
0.8310637474060059,
0.7932490110397339,
0.8049152493476868,
0.790473461151123,
0.7915273904800415,
0.8155691623687744,
0.8350470066070557,
0.832709550857544,
0.8053063154220581
] | [
0.856536865234375,
0.8782597780227661,
0.9190176725387573,
0.8309354186058044,
0.8973315954208374,
0.7788114547729492,
0.7961969971656799,
0.7913081049919128,
0.7715394496917725,
0.8002175092697144,
0.8046042323112488,
0.8002427816390991,
0.8148952722549438,
0.8136842846870422,
0.8140618205070496,
0.8072530031204224,
0.7767553329467773,
0.7812824249267578,
0.8192356824874878,
0.754982590675354,
0.8040421605110168,
0.795552134513855,
0.7756081819534302,
0.8092632293701172,
0.780032217502594,
0.7741568684577942,
0.8185378909111023,
0.8279404640197754,
0.8271374702453613,
0.760070264339447
] | [
0.8267751932144165,
0.8412716388702393,
0.9064658880233765,
0.8135145902633667,
0.8864396810531616,
0.746665358543396,
0.8061195015907288,
0.7925522327423096,
0.7544556856155396,
0.7780852317810059,
0.7976493835449219,
0.7654988765716553,
0.7783728837966919,
0.7996340990066528,
0.7742985486984253,
0.7758185863494873,
0.7533252239227295,
0.7628505229949951,
0.7785193920135498,
0.7335556745529175,
0.7721421122550964,
0.7634437084197998,
0.7552582025527954,
0.7874932289123535,
0.7433528900146484,
0.7731298208236694,
0.7869533896446228,
0.7995659112930298,
0.7847640514373779,
0.7575254440307617
] | [
0.7149436473846436,
0.7863397002220154,
0.8972331285476685,
0.6818902492523193,
0.7970736026763916,
0.30374136567115784,
0.37641048431396484,
0.4374045431613922,
0.4294569492340088,
0.4307982325553894,
0.569514274597168,
0.45976167917251587,
0.4491629898548126,
0.4370373487472534,
0.4527990520000458,
0.5812767744064331,
0.40598446130752563,
0.43531084060668945,
0.41829800605773926,
0.2901199162006378,
0.44281119108200073,
0.37638768553733826,
0.29581841826438904,
0.43123844265937805,
0.43410414457321167,
0.43406277894973755,
0.44072502851486206,
0.5304210186004639,
0.5101131796836853,
0.40612131357192993
] | [
0.6070773005485535,
0.7251052856445312,
0.8713511824607849,
0.5874080061912537,
0.7372375726699829,
0.13646531105041504,
0.1993224322795868,
0.29939523339271545,
0.24772459268569946,
0.2740943431854248,
0.4468019902706146,
0.2634698450565338,
0.2911531925201416,
0.2738645076751709,
0.32829952239990234,
0.4538734555244446,
0.2415529489517212,
0.3030472993850708,
0.25653356313705444,
0.1692267656326294,
0.28649115562438965,
0.19941648840904236,
0.15264394879341125,
0.27694398164749146,
0.2918064594268799,
0.2982352674007416,
0.24692858755588531,
0.3793194591999054,
0.3892534375190735,
0.24189241230487823
] | [
0.7324484586715698,
0.7779626846313477,
0.8906949758529663,
0.6975954174995422,
0.791155219078064,
0.34593796730041504,
0.4125664234161377,
0.46580642461776733,
0.4543135464191437,
0.456512987613678,
0.5915424227714539,
0.4795958995819092,
0.4760494828224182,
0.4690130949020386,
0.48265284299850464,
0.5971895456314087,
0.43984323740005493,
0.4576032757759094,
0.4496992826461792,
0.3200252652168274,
0.48095959424972534,
0.4003380537033081,
0.34445708990097046,
0.4671994745731354,
0.45952171087265015,
0.4729669690132141,
0.47492703795433044,
0.5446789264678955,
0.5314110517501831,
0.4374491572380066
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Mobile-Assisted Language Learning | [
"MOBILE LANGUAGE LEARNING : MORE THAN JUST “ THE PLATFORM ”",
"English class on the air: mobile language learning with cell phones",
"My Personal Mobile Language Learning Environment: An Exploration and Classification of Language Learning Possibilities Using the iPhone",
"Mobile Learning to Support Teaching English as a Second Language",
"Survey and analysis of current mobile learning applications and technologies",
"Training an Active Random Field for Real-Time Image Denoising",
"Business Unit Strategy , Managerial Characteristics , and Business Unit Effectiveness at Strategy Implementation ^",
"Monitoring body temperature of newborn infants at neonatal intensive care units using wearable sensors",
"License plate recognition system",
"Context-aware Frame-Semantic Role Labeling",
"Matching Forensic Sketches to Mug Shot Photos",
"Evolutionary Foundations of Cultural Variation : Evoked Culture and Mate Preferences",
"A Joint Model of Entity Linking and Predicate Recognition for Knowledge Base Question Answering",
"Decentralized Execution of Smart Contracts: Agent Model Perspective and Its Implications",
"A Multi-Horizon Quantile Recurrent Forecaster",
"STRATEGIC ENTERPRISE MANAGEMENT FOR INNOVATIVE COMPANIES : THE LAST DECADE OF THE BALANCED SCORECARD",
"A reactive controller framework for quadrupedal locomotion on challenging terrain",
"Knowledge Semantic Representation: A Generative Model for Interpretable Knowledge Graph Embedding",
"PROBLEMS OF EMPLOYABILITY-A STUDY OF JOB – SKILL AND QUALIFICATION MISMATCH",
"Culture and the Self : Implications for Cognition , Emotion , and Motivation",
"Neural Survival Recommender",
"Business Intelligence System for Banking and Finance",
"Characterizing Online Rumoring Behavior Using Multi-Dimensional Signatures",
"Work engagement and Machiavellianism in the ethical leadership process",
"Reducing drift in visual odometry by inferring sun direction using a Bayesian Convolutional Neural Network",
"3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network",
"Multi-labeled Relation Extraction with Attentive Capsule Network",
"EVALUATION OF MODAL PUSHOVER ANALYSIS USING VERTICALLY IRREGULAR FRAMES",
"Implementation of Image Registration Techniques and its Applications in Medical Image Analysis",
"Empowering convolutional networks for malware classification and analysis"
] | [
0.9138936400413513,
0.9117089509963989,
0.9009543657302856,
0.9247299432754517,
0.8904804587364197,
0.836249828338623,
0.7911407947540283,
0.7784647941589355,
0.8313751816749573,
0.8613541722297668,
0.7896588444709778,
0.7852371335029602,
0.8161646723747253,
0.8117407560348511,
0.8274874687194824,
0.7810837030410767,
0.8089663982391357,
0.8093050122261047,
0.7855975031852722,
0.802955150604248,
0.8370338082313538,
0.8218877911567688,
0.8151495456695557,
0.7911654114723206,
0.7899399995803833,
0.7930272817611694,
0.8385992646217346,
0.7893435955047607,
0.803554892539978,
0.814281702041626
] | [
0.8708336353302002,
0.9038318395614624,
0.8748361468315125,
0.9098043441772461,
0.8606593608856201,
0.7983424663543701,
0.7468026280403137,
0.7710462808609009,
0.8153815269470215,
0.8270061612129211,
0.7764721512794495,
0.7621654272079468,
0.7858474254608154,
0.770557701587677,
0.7970492243766785,
0.7508770227432251,
0.77735435962677,
0.7766803503036499,
0.7785800695419312,
0.7816094160079956,
0.8131746649742126,
0.7985048890113831,
0.7823508977890015,
0.757977306842804,
0.7688620090484619,
0.7733383774757385,
0.7977100610733032,
0.7679151892662048,
0.7524905204772949,
0.7885663509368896
] | [
0.8803105354309082,
0.8781023621559143,
0.8730612993240356,
0.8921637535095215,
0.8652018904685974,
0.7515581846237183,
0.7382776737213135,
0.7532657384872437,
0.8015126585960388,
0.8054652214050293,
0.7817259430885315,
0.7621333003044128,
0.7574763298034668,
0.7532333731651306,
0.7574291825294495,
0.7402573823928833,
0.7429834604263306,
0.7620039582252502,
0.7630304098129272,
0.7689907550811768,
0.7978518009185791,
0.7700474858283997,
0.7684515714645386,
0.7383095026016235,
0.7664791345596313,
0.7600010633468628,
0.7766185998916626,
0.7600932121276855,
0.7419876456260681,
0.7729408740997314
] | [
0.921270489692688,
0.8925867080688477,
0.8858288526535034,
0.8720294237136841,
0.8032291531562805,
0.4694231450557709,
0.3803214430809021,
0.4628179669380188,
0.4629926085472107,
0.5926932096481323,
0.3868873119354248,
0.4556064009666443,
0.5065411329269409,
0.41307300329208374,
0.47041815519332886,
0.3609795570373535,
0.4210842251777649,
0.4478268623352051,
0.46465617418289185,
0.5591795444488525,
0.4954795241355896,
0.46270960569381714,
0.4570627510547638,
0.36612802743911743,
0.48997241258621216,
0.44383496046066284,
0.5091230869293213,
0.37300431728363037,
0.4008710980415344,
0.47508811950683594
] | [
0.9010864496231079,
0.8574054837226868,
0.856159508228302,
0.8484272956848145,
0.7648603916168213,
0.305971622467041,
0.21686077117919922,
0.3077077269554138,
0.32389217615127563,
0.4496397376060486,
0.23444464802742004,
0.3074706792831421,
0.36578184366226196,
0.24520131945610046,
0.337324321269989,
0.19372382760047913,
0.25467127561569214,
0.26932811737060547,
0.31065696477890015,
0.4242255985736847,
0.34028375148773193,
0.29251328110694885,
0.28121042251586914,
0.18192118406295776,
0.3506895899772644,
0.2819463908672333,
0.36639606952667236,
0.23379817605018616,
0.2286514937877655,
0.3190801739692688
] | [
0.9154660105705261,
0.8888226747512817,
0.8778698444366455,
0.8562722206115723,
0.8009122014045715,
0.49945661425590515,
0.4320950508117676,
0.48693692684173584,
0.49985772371292114,
0.6037931442260742,
0.4468955397605896,
0.48556655645370483,
0.5264540910720825,
0.4493018388748169,
0.5057617425918579,
0.39576417207717896,
0.44682300090789795,
0.47119981050491333,
0.494704931974411,
0.5804470777511597,
0.5222187042236328,
0.5027596354484558,
0.49622803926467896,
0.4032653868198395,
0.5074648857116699,
0.47168606519699097,
0.5229746103286743,
0.4271344840526581,
0.4366050064563751,
0.4970673620700836
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Theory of the backpropagation neural network | [
"Acoustic emission-based fatigue crack growth prediction",
"Rotational Machine Health Monitoring and Fault Detection Using EMD-Based Acoustic Emission Feature Quantification",
"Backpropagation Through Time: What It Does and How to Do It",
"Universal Language Model Fine-tuning for Text Classification",
"Self-Organizing Maps In Natural Language Processing",
"When do libraries of articulated images obey an isometric embedding ?",
"Automated Fault Tree Analysis from AADL Models",
"Security Analysis of Emerging Smart Home Applications",
"Frequency Domain Based MSRCR Method for Color Image Enhancement",
"Huffman Based LZW Lossless Image Compression Using Retinex Algorithm",
"NODDI: Practical <ce:italic>in vivo</ce:italic> neurite orientation dispersion and density imaging of the human brain",
"Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network",
"Implementation of LSB Steganography and its Evaluation for Various File Formats",
"Dehumanizing the lowest of the low: neuroimaging responses to extreme out-groups.",
"Knowledge-Based Distant Regularization in Learning Probabilistic Models",
"CoFiSet: Collaborative Filtering via Learning Pairwise Preferences over Item-sets",
"Complex Adaptations and the Evolution of Evolvability",
"Leadership in Academic Health Centers: Transactional and Transformational Leadership",
"Using Tectogrammatical Annotation for Studying Actors and Actions in Sallust's Bellum Catilinae",
"Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks",
"Detection of centerline crossing in abnormal driving using CapsNet",
"Multimedia Content Identification Through Smart Meter Power Usage Profiles",
"Internet of Things : Features , Challenges , and Vulnerabilities Authors",
"FX trading via recurrent reinforcement learning",
"Current challenges and concepts in the preparation of root canal systems: a review.",
"The Use of Fast Fourier Transform for the Estimation of Power Spectra : A Method Based on Time Aver . aging Over Short , Modified Periodograms",
"Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels",
"Wiki-ly Supervised Part-of-Speech Tagging",
"On the Instability of Bitcoin Without the Block Reward"
] | [
0.8225196599960327,
0.8036829233169556,
0.877204954624176,
0.8284825086593628,
0.8325259685516357,
0.7790427803993225,
0.8369561433792114,
0.8182075023651123,
0.8093127608299255,
0.8202178478240967,
0.8195226788520813,
0.8578205108642578,
0.7977639436721802,
0.7989155650138855,
0.8291425704956055,
0.7902209162712097,
0.8121437430381775,
0.7767523527145386,
0.7904736995697021,
0.8266018629074097,
0.8164032101631165,
0.7922810912132263,
0.7943787574768066,
0.835121750831604,
0.79189133644104,
0.8033488988876343,
0.8077617287635803,
0.8298139572143555,
0.8251710534095764
] | [
0.7715885639190674,
0.7588949799537659,
0.8620306253433228,
0.7888398766517639,
0.8166927099227905,
0.7563290596008301,
0.7693580389022827,
0.7805865406990051,
0.7704945206642151,
0.7775947451591492,
0.7977094650268555,
0.8283555507659912,
0.7789702415466309,
0.8069905042648315,
0.7956793904304504,
0.7687232494354248,
0.7850158214569092,
0.7453309297561646,
0.7656290531158447,
0.7955998182296753,
0.7966077923774719,
0.7650195360183716,
0.7723201513290405,
0.8160531520843506,
0.7763170003890991,
0.774872899055481,
0.7755361795425415,
0.7896382808685303,
0.7943837642669678
] | [
0.7558760643005371,
0.7568566799163818,
0.8693042397499084,
0.8025031685829163,
0.8128923177719116,
0.7673889398574829,
0.7752172946929932,
0.769493818283081,
0.7806206345558167,
0.7674840688705444,
0.7831383347511292,
0.817716121673584,
0.7651204466819763,
0.7960366010665894,
0.7991471290588379,
0.7623863816261292,
0.7902511954307556,
0.7572749853134155,
0.7618836164474487,
0.7985163331031799,
0.8024860620498657,
0.7726860046386719,
0.7887651920318604,
0.8140367269515991,
0.7704089283943176,
0.7746245861053467,
0.7810878753662109,
0.7801669836044312,
0.7994320392608643
] | [
0.5708380937576294,
0.5605521202087402,
0.8144230842590332,
0.5792793035507202,
0.6799169778823853,
0.5402985215187073,
0.5278626680374146,
0.4649551510810852,
0.5628180503845215,
0.556715726852417,
0.5139786005020142,
0.6301860809326172,
0.4987572431564331,
0.47793304920196533,
0.6754366755485535,
0.5220833420753479,
0.4738975763320923,
0.39172661304473877,
0.5051476955413818,
0.6015862226486206,
0.5455304384231567,
0.5189758539199829,
0.4753672480583191,
0.578486442565918,
0.4683524966239929,
0.5879062414169312,
0.620330810546875,
0.5376824140548706,
0.45991700887680054
] | [
0.44344356656074524,
0.42500320076942444,
0.7762609124183655,
0.4600524306297302,
0.5629513263702393,
0.435820996761322,
0.3853679299354553,
0.2949222922325134,
0.4214080572128296,
0.44012346863746643,
0.3819613456726074,
0.5265131592750549,
0.36474373936653137,
0.32592111825942993,
0.5315883159637451,
0.35138922929763794,
0.3597186505794525,
0.23437555134296417,
0.34654974937438965,
0.4488293528556824,
0.42557963728904724,
0.35086262226104736,
0.2654726803302765,
0.5002676844596863,
0.2930518388748169,
0.429551899433136,
0.4402826726436615,
0.35866624116897583,
0.3353393077850342
] | [
0.5917606949806213,
0.5832317471504211,
0.8222518563270569,
0.6042805910110474,
0.7040688991546631,
0.570867657661438,
0.5654482841491699,
0.49762868881225586,
0.5844890475273132,
0.5884947776794434,
0.5448604822158813,
0.6560409069061279,
0.5334249138832092,
0.5110858678817749,
0.6978200674057007,
0.5550466775894165,
0.5144246816635132,
0.4267764091491699,
0.5394464731216431,
0.6226118803024292,
0.5811666250228882,
0.5523402094841003,
0.5107616186141968,
0.6117103099822998,
0.49900251626968384,
0.6179781556129456,
0.6378144025802612,
0.5700368881225586,
0.5104770660400391
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
DeepDGA: Adversarially-Tuned Domain Generation and Detection | [
"Predicting Domain Generation Algorithms with Long Short-Term Memory Networks",
"BotCensor: Detecting DGA-Based Botnet Using Two-Stage Anomaly Detection",
"Algorithmically Generated Domain Detection and Malware Family Classification",
"A Taxonomy of Domain-Generation Algorithms",
"An enhancing framework for botnet detection using generative adversarial networks",
"Flexible and Scalable State Tracking Framework for Goal-Oriented Dialogue Systems",
"Theory IIIb: Generalization in Deep Networks",
"A Planar Switchable 3-D-Coverage Phased Array Antenna and Its User Effects for 28-GHz Mobile Terminal Applications",
"Neural Open Information Extraction",
"RelNN: A Deep Neural Model for Relational Learning",
"An occupational therapy program for adults with developmental disabilities.",
"Convergent and Divergent Operations in Cognitive Search",
"The development of pre-service teachers ' TPACK in the use of digital tools",
"Cell Counting by Regression Using Convolutional Neural Network",
"Generalization Bounds for Neural Networks: Kernels, Symmetry, and Sample Compression",
"A Survey on Food Computing",
"Inherent Trade-Offs in the Fair Determination of Risk Scores",
"A 100 MHz 82.4% Efficiency Package-Bondwire Based Four-Phase Fully-Integrated Buck Converter With Flying Capacitor for Area Reduction",
"Shoulder kinematics and kinetics during two speeds of wheelchair propulsion.",
"Conceptual issues concerning mediation , interventions and composition",
"Is smartphone addiction really an addiction?",
"Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks",
"Kickback noise reduction techniques for CMOS latched comparators",
"Scalable Person Re-identification on Supervised Smoothed Manifold",
"Modular elliptic curves and Fermat ’ s Last Theorem",
"Dynamics and control of a quadrotor with a cable suspended payload",
"Tumor Lymphangiogenesis as a Potential Therapeutic Target",
"Multimodal Generative Models for Scalable Weakly-Supervised Learning",
"Optimization at Container Terminals : Status , Trends and Perspectives",
"Current-Mode CMOS Image Sensor"
] | [
0.887929379940033,
0.9025956392288208,
0.9082871079444885,
0.8754180669784546,
0.8895390033721924,
0.8339782953262329,
0.8644187450408936,
0.7975525259971619,
0.835167646408081,
0.8625830411911011,
0.7779504060745239,
0.8284339308738708,
0.7988417148590088,
0.8257545232772827,
0.8324833512306213,
0.8113403916358948,
0.7946791648864746,
0.7703728079795837,
0.7734697461128235,
0.7603005766868591,
0.7889509201049805,
0.8541890382766724,
0.8000315427780151,
0.8254890441894531,
0.7936427593231201,
0.7778142094612122,
0.7974194884300232,
0.859734833240509,
0.7876595258712769,
0.8166272044181824
] | [
0.8536518216133118,
0.8570907711982727,
0.8642383217811584,
0.8523035049438477,
0.8311641216278076,
0.8054064512252808,
0.8264074325561523,
0.7711368203163147,
0.7967517375946045,
0.8119949102401733,
0.769781768321991,
0.7941347360610962,
0.7753920555114746,
0.8032159805297852,
0.8056281805038452,
0.7938191890716553,
0.7676769495010376,
0.7583658695220947,
0.752731204032898,
0.755959689617157,
0.7604363560676575,
0.811061680316925,
0.753937304019928,
0.774287223815918,
0.7829731702804565,
0.7580341100692749,
0.7724376916885376,
0.8011432886123657,
0.7764484882354736,
0.7747485041618347
] | [
0.847538948059082,
0.8618953227996826,
0.8674089908599854,
0.8550418615341187,
0.8454992175102234,
0.7970713973045349,
0.8310439586639404,
0.7549606561660767,
0.8020358085632324,
0.8160877823829651,
0.7551697492599487,
0.7863107919692993,
0.7597532272338867,
0.8117837905883789,
0.8016327619552612,
0.7983735799789429,
0.7676482796669006,
0.7553684711456299,
0.7556090950965881,
0.7424893379211426,
0.7589707970619202,
0.8125409483909607,
0.7500292062759399,
0.7792743444442749,
0.7841665148735046,
0.7454336285591125,
0.7796837091445923,
0.8040096759796143,
0.765907347202301,
0.7668651938438416
] | [
0.7900022268295288,
0.6498938798904419,
0.7225116491317749,
0.7612029314041138,
0.6997406482696533,
0.48229753971099854,
0.6298425197601318,
0.3856760263442993,
0.5717061758041382,
0.6118131875991821,
0.39851176738739014,
0.5015612244606018,
0.36963096261024475,
0.5404129028320312,
0.5932543277740479,
0.5364505052566528,
0.5002026557922363,
0.34615427255630493,
0.3704989552497864,
0.3944157361984253,
0.30311083793640137,
0.5468641519546509,
0.402773916721344,
0.5577099323272705,
0.46804627776145935,
0.38509899377822876,
0.40542322397232056,
0.6318247318267822,
0.38909003138542175,
0.4631245732307434
] | [
0.738883376121521,
0.5574714541435242,
0.651573896408081,
0.7245479226112366,
0.6632082462310791,
0.36606016755104065,
0.5369080305099487,
0.24488089978694916,
0.43747979402542114,
0.5023058652877808,
0.2663913369178772,
0.3759283423423767,
0.22420452535152435,
0.4053141474723816,
0.4649387001991272,
0.4055097997188568,
0.3940795361995697,
0.24627970159053802,
0.25064533948898315,
0.2614300847053528,
0.22245334088802338,
0.4253433048725128,
0.2732614278793335,
0.41901978850364685,
0.3370494246482849,
0.22785164415836334,
0.3006073236465454,
0.5318533778190613,
0.2323766052722931,
0.3276277184486389
] | [
0.801215648651123,
0.6639227271080017,
0.7438883781433105,
0.7764840126037598,
0.6988650560379028,
0.5050951242446899,
0.6407817602157593,
0.4242592751979828,
0.5780494213104248,
0.6274081468582153,
0.42406779527664185,
0.5239746570587158,
0.4019951820373535,
0.5618528723716736,
0.6086369752883911,
0.5663716793060303,
0.5431926250457764,
0.3992959260940552,
0.40982216596603394,
0.432938814163208,
0.30497920513153076,
0.5671874284744263,
0.4450370669364929,
0.5684279203414917,
0.5149157047271729,
0.4125879108905792,
0.42940640449523926,
0.6419737339019775,
0.42948177456855774,
0.5025113821029663
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
A unified deep artificial neural network approach to partial differential equations in complex geometries | [
"Machine Learning of Linear Differential Equations using Gaussian Processes",
"Machine Learning Methods for Data-Driven Turbulence Modeling",
"A Constrained Backpropagation Approach for the Adaptive Solution of Partial Differential Equations",
"Deep learning and the Schrödinger equation",
"Learning solutions to partial differential equations using LS-SVM",
"Business intelligence success: The roles of BI capabilities and decision environments",
"Understanding the influence of organizational change strategies on information technology and knowledge management strategies",
"Computing at the Mobile Edge: Designing Elastic Android Applications for Computation Offloading",
"Gender differences and psychological factors associated with suicidal ideation among youth in Malaysia",
"Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions",
"Towards a Better Understanding of Context and Context-Awareness",
"Low rank subspace clustering (LRSC)",
"U-Air: when urban air quality inference meets big data",
"Determinants of Information Security Awareness: An Empirical Investigation in Higher Education",
"Middle class and marginal? Socioeconomic status, stigma, and self-regulation at an elite university.",
"Constructing Risk Measures from Uncertainty Sets",
"Transforming decision-making processes: a research agenda for understanding the impact of business analytics on organisations",
"PDF-TREX: An Approach for Recognizing and Extracting Tables from PDF Documents",
"PointNet: A 3D Convolutional Neural Network for real-time object class recognition",
"Iterative Method For Approximating a Common Fixed Point of Infinite Family of Strictly Pseudo Contractive Mappings in Real Hilbert Spaces",
"Personalized mobile advertising : Its key attributes , trends , and social impact",
"Semantic Segmentation from Limited Training Data",
"Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs",
"Mining Exoticism from Visual Content with Fusion-based Deep Neural Networks",
"A Complexity-Invariant Distance Measure for Time Series",
"Case-based reasoning is a methodology not a technology",
"The flipped classroom: now or never?",
"Adverse health effects of non-medical cannabis use",
"Blockchain — Literature survey",
"Multilingual Semantic Parsing And Code-Switching"
] | [
0.8749995231628418,
0.831183671951294,
0.8771185278892517,
0.8801567554473877,
0.8716820478439331,
0.8000789880752563,
0.7799616456031799,
0.8147194981575012,
0.7643779516220093,
0.8038087487220764,
0.7877288460731506,
0.7953946590423584,
0.8098486661911011,
0.7750871181488037,
0.7686163187026978,
0.8155496120452881,
0.7986270189285278,
0.822550892829895,
0.8450461626052856,
0.8112583160400391,
0.7892370820045471,
0.8097297549247742,
0.8156397342681885,
0.8503924608230591,
0.8344091176986694,
0.7882150411605835,
0.7857980728149414,
0.7619040608406067,
0.7552311420440674,
0.7973017692565918
] | [
0.8541283011436462,
0.8210148811340332,
0.858299970626831,
0.855061411857605,
0.8582537174224854,
0.7712226510047913,
0.7700008153915405,
0.7827129364013672,
0.7531580924987793,
0.7873511910438538,
0.7941768169403076,
0.7802407741546631,
0.7897724509239197,
0.7562837600708008,
0.7395633459091187,
0.8021037578582764,
0.7846588492393494,
0.8042343854904175,
0.8183947801589966,
0.8046646118164062,
0.7691266536712646,
0.7871318459510803,
0.797182559967041,
0.796346127986908,
0.818463921546936,
0.7794275879859924,
0.7542868852615356,
0.7558296322822571,
0.7655543088912964,
0.7868884801864624
] | [
0.8195469975471497,
0.7896246314048767,
0.862462043762207,
0.8415631055831909,
0.8474804162979126,
0.7634444236755371,
0.7265369892120361,
0.767470121383667,
0.7286428809165955,
0.7845709323883057,
0.7745060920715332,
0.7782939672470093,
0.7996869683265686,
0.726186215877533,
0.7616786956787109,
0.7587150931358337,
0.7589766383171082,
0.7910428643226624,
0.8162498474121094,
0.8070745468139648,
0.7467511296272278,
0.7647717595100403,
0.7876116037368774,
0.7860829830169678,
0.783340334892273,
0.7837657928466797,
0.7727652788162231,
0.7438160181045532,
0.7602314352989197,
0.7588449716567993
] | [
0.7565927505493164,
0.7123832702636719,
0.8074932098388672,
0.8027684688568115,
0.8027689456939697,
0.4149447977542877,
0.3370586037635803,
0.484941303730011,
0.37882015109062195,
0.5073519945144653,
0.45213547348976135,
0.5195422172546387,
0.5504019260406494,
0.34276384115219116,
0.38494572043418884,
0.49918633699417114,
0.3976733088493347,
0.4420759081840515,
0.6312888860702515,
0.59247887134552,
0.4055500626564026,
0.5518268346786499,
0.5063298940658569,
0.5426130294799805,
0.5322378873825073,
0.4233294427394867,
0.4052320718765259,
0.2988772988319397,
0.42068374156951904,
0.4607962369918823
] | [
0.6531131267547607,
0.6072954535484314,
0.7265323996543884,
0.739309549331665,
0.7146215438842773,
0.2781761884689331,
0.1792416125535965,
0.3628254532814026,
0.27536869049072266,
0.35732516646385193,
0.24837616086006165,
0.36587297916412354,
0.4108079671859741,
0.1688418686389923,
0.24857929348945618,
0.3374272882938385,
0.2494487762451172,
0.2951938509941101,
0.5394047498703003,
0.4618489146232605,
0.23785234987735748,
0.41163870692253113,
0.38167956471443176,
0.4106330871582031,
0.3876449167728424,
0.310793399810791,
0.2520725727081299,
0.16011503338813782,
0.2525458037853241,
0.3106786012649536
] | [
0.7565391063690186,
0.7091563940048218,
0.7992971539497375,
0.8051735162734985,
0.8027265071868896,
0.44357824325561523,
0.36528652906417847,
0.5083009004592896,
0.4113413095474243,
0.5330860614776611,
0.479513943195343,
0.5354371070861816,
0.5645743608474731,
0.36787936091423035,
0.41249197721481323,
0.5205338597297668,
0.41457074880599976,
0.4780845642089844,
0.644667387008667,
0.6041686534881592,
0.43633559346199036,
0.5687747001647949,
0.5284772515296936,
0.5469032526016235,
0.5557931661605835,
0.47192227840423584,
0.440511018037796,
0.33723509311676025,
0.4500626027584076,
0.48406195640563965
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Gradient Similarity: An Explainable Approach to Detect Adversarial Attacks against Deep Learning | [
"Principled Uncertainty Estimation for Deep Neural Networks",
"To Trust Or Not To Trust A Classifier",
"HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples",
"Adversarially Robust Generalization Requires More Data",
"Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods",
"Genetic CNN",
"Review of CMOS image sensors",
"Comparing and combining sentiment analysis methods",
"Focal Loss for Dense Object Detection",
"Analyzing Opinion Spammers’ Network Behavior in Online Review Systems",
"Face Recognition Techniques : A Survey",
"The Common Neural Basis of Autobiographical Memory, Prospection, Navigation, Theory of Mind, and the Default Mode: A Quantitative Meta-analysis",
"A survey of socially interactive robots",
"Classifications of Recommender Systems : A review",
"Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling : A Monte Carlo Simulation Study",
"Robotics in my work and life",
"Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning",
"Teaching and Learning Vocabulary : Bringing Research to Practice",
"Deep learning in neural networks: An overview",
"Spatial as Deep: Spatial CNN for Traffic Scene Understanding",
"Estimating Consumers’ Knowledge and Attitudes Towards Over-The-Counter Analgesic Medication in Greece in the Years of Financial Crisis: The Case of Paracetamol",
"A study on encryption using three-dimensional cellular automata",
"Internet of Things : Features , Challenges , and Vulnerabilities Authors",
"Mental Illness and Creativity : A Neurological View of the “ Tortured Artist ”",
"Social cognitive neuroscience: where are we heading?",
"Similarity Measures for Text Document Clustering",
"Decision-making with the AHP: Why is the principal eigenvector necessary",
"Invariant visual representation by single neurons in the human brain",
"Predicting football results using Bayesian nets and other machine learning techniques",
"The feeling of effort during mental activity"
] | [
0.8686109781265259,
0.8456123471260071,
0.8996752500534058,
0.849952220916748,
0.8897901773452759,
0.824786901473999,
0.819000244140625,
0.8392856121063232,
0.8438030481338501,
0.8313994407653809,
0.8273752927780151,
0.8325769901275635,
0.8121987581253052,
0.8383412957191467,
0.823930561542511,
0.7757925391197205,
0.8504568338394165,
0.7954429388046265,
0.8876540660858154,
0.8631410598754883,
0.814201295375824,
0.8222260475158691,
0.8154993653297424,
0.8025776147842407,
0.821036696434021,
0.8472774028778076,
0.8287044167518616,
0.8380403518676758,
0.8406450748443604,
0.787385106086731
] | [
0.8253157138824463,
0.8177177906036377,
0.8794338703155518,
0.841698408126831,
0.8717162013053894,
0.8146616816520691,
0.7949625253677368,
0.8221501111984253,
0.8265149593353271,
0.8164846301078796,
0.8096322417259216,
0.8001053929328918,
0.7933955788612366,
0.7932102084159851,
0.7877075672149658,
0.7729314565658569,
0.8209789991378784,
0.7930704355239868,
0.8435877561569214,
0.8222941160202026,
0.7544152736663818,
0.8157559633255005,
0.803218424320221,
0.7704424262046814,
0.8036786317825317,
0.8134143352508545,
0.8157624006271362,
0.7922086119651794,
0.8109608888626099,
0.7799993753433228
] | [
0.7935929298400879,
0.8049288392066956,
0.858829915523529,
0.8325108289718628,
0.852321207523346,
0.7959342002868652,
0.7618706226348877,
0.7854070663452148,
0.78679358959198,
0.7883089184761047,
0.7786798477172852,
0.7854923009872437,
0.7751376032829285,
0.7840742468833923,
0.7804345488548279,
0.7545464038848877,
0.794201135635376,
0.7516148090362549,
0.8247439861297607,
0.8291279077529907,
0.7445282936096191,
0.7692863941192627,
0.7922222018241882,
0.7573861479759216,
0.7877870798110962,
0.772986114025116,
0.7920613288879395,
0.7784223556518555,
0.7910159826278687,
0.7713991403579712
] | [
0.6327080726623535,
0.5799931287765503,
0.762384831905365,
0.6927446126937866,
0.798297107219696,
0.6090480089187622,
0.42986443638801575,
0.496052086353302,
0.5450845956802368,
0.5377531051635742,
0.5456719398498535,
0.45492273569107056,
0.45639705657958984,
0.4930073618888855,
0.5072832107543945,
0.3933752179145813,
0.4727134704589844,
0.3952285647392273,
0.6808450222015381,
0.5651602149009705,
0.35680902004241943,
0.477039098739624,
0.47104543447494507,
0.42757466435432434,
0.4445485770702362,
0.48417314887046814,
0.4591206908226013,
0.5823866128921509,
0.5336310267448425,
0.42701733112335205
] | [
0.5312879085540771,
0.4874282777309418,
0.7103542685508728,
0.6609833240509033,
0.7627453804016113,
0.529836893081665,
0.2893370985984802,
0.30295711755752563,
0.4230951964855194,
0.36498206853866577,
0.3922809958457947,
0.32187896966934204,
0.27744385600090027,
0.32414764165878296,
0.36125892400741577,
0.2815587520599365,
0.3490958511829376,
0.22160764038562775,
0.6025744676589966,
0.46644866466522217,
0.19359342753887177,
0.32000023126602173,
0.27317380905151367,
0.303244411945343,
0.3289916515350342,
0.3185548186302185,
0.304237961769104,
0.464240700006485,
0.39553213119506836,
0.29487890005111694
] | [
0.639275074005127,
0.5962727069854736,
0.7579723596572876,
0.6862969398498535,
0.798777163028717,
0.6171677112579346,
0.4546803832054138,
0.512927234172821,
0.5536645650863647,
0.5615906715393066,
0.5455302596092224,
0.4808327853679657,
0.4706610143184662,
0.5148097276687622,
0.521516740322113,
0.41335320472717285,
0.49470144510269165,
0.42534732818603516,
0.6795395016670227,
0.5805276036262512,
0.39826279878616333,
0.4989672899246216,
0.5020939707756042,
0.45245662331581116,
0.46968597173690796,
0.5076208114624023,
0.48467543721199036,
0.5991106033325195,
0.5541963577270508,
0.4500109553337097
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
An Empirical Exploration of Recurrent Network Architectures | [
"Turkish Natural Language Processing",
"A Recurrent Neural Network that Learns to Count",
"Lossless Compression for Text and ImagesAlistair",
"Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups",
"A voice-controlled personal assistant robot",
"Virtual Reality: A Definition History - A Personal Essay",
"Language as a Latent Variable: Discrete Generative Models for Sentence Compression",
"Tax Shelters or Efficient Tax Planning ? A Theory of the Firm Perspective on the Economic Substance Doctrine",
"Overview of the CL-SciSumm 2016 Shared Task",
"Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification",
"THE ORGANIZED / DISORGANIZED TYPOLOGY OF SERIAL MURDER Myth or Model ?",
"A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories",
"In vivo epiluminescence microscopy of pigmented skin lesions. I. Pattern analysis of pigmented skin lesions.",
"Executive Attention and Metacognitive Regulation",
"Computer Applications in Archaeological Pottery : A Review and New Perspectives",
"Business process management: a review and evaluation",
"Code obfuscation techniques for metamorphic viruses",
"Self Adversarial Training for Human Pose Estimation",
"2 . Dilated Residual Networks",
"Detection-aided liver lesion segmentation using deep learning",
"Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification",
"Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation",
"RCFA for Recurring Impeller Failures in a 4 . 7 Mtpa LNG Train Propane Compressor",
"Review in terahertz spectral analysis",
"Extended VIKOR method in comparison with outranking methods",
"An Attention-Based Deep Net for Learning to Rank",
"Analyzing Worst-Case Delay Performance of IEC 61850-9-2 Process Bus Networks Using Measurements and Network Calculus",
"Deep Learning for Image-Based Localization Deep Learning für bildbasierte",
"Expected goals in soccer:explaining match results using predictive analytics",
"New Feature Parameters for Pronunciation Evaluation in English Presentations at International Conferences"
] | [
0.816092848777771,
0.8954673409461975,
0.8051712512969971,
0.8281708359718323,
0.8161340355873108,
0.7827277183532715,
0.8153432607650757,
0.789499044418335,
0.8178218007087708,
0.8138977289199829,
0.8069780468940735,
0.8655411005020142,
0.7898962497711182,
0.8060189485549927,
0.8225513696670532,
0.7885051965713501,
0.8213765025138855,
0.8021112680435181,
0.8534653186798096,
0.8135836124420166,
0.8201122283935547,
0.8222349882125854,
0.8381064534187317,
0.8092390298843384,
0.8171265721321106,
0.8498828411102295,
0.8319531679153442,
0.8019272089004517,
0.8230481147766113,
0.779037594795227
] | [
0.7876060009002686,
0.8775601983070374,
0.7903831601142883,
0.8269293308258057,
0.7872165441513062,
0.7865533828735352,
0.796189546585083,
0.7836422920227051,
0.7940709590911865,
0.7928972244262695,
0.7777218222618103,
0.8231735229492188,
0.7938282489776611,
0.8031736016273499,
0.793558657169342,
0.806049108505249,
0.7924423217773438,
0.777192234992981,
0.8451404571533203,
0.7849087119102478,
0.8037060499191284,
0.7940011024475098,
0.7897815108299255,
0.8048512935638428,
0.7923637628555298,
0.812223494052887,
0.8059298396110535,
0.7791043519973755,
0.7877525091171265,
0.7819838523864746
] | [
0.7979945540428162,
0.858055055141449,
0.7988176345825195,
0.8093026280403137,
0.7943713665008545,
0.7883626222610474,
0.799789547920227,
0.7610947489738464,
0.7983209490776062,
0.787420392036438,
0.7917418479919434,
0.7918803691864014,
0.7869206666946411,
0.789589524269104,
0.7751697301864624,
0.7655838131904602,
0.7753951549530029,
0.8049081563949585,
0.8265882730484009,
0.7808826565742493,
0.8104041814804077,
0.8012585639953613,
0.7938454747200012,
0.7722947597503662,
0.7854009866714478,
0.819793701171875,
0.7767476439476013,
0.7833501100540161,
0.7993202805519104,
0.7765728235244751
] | [
0.5986324548721313,
0.7759239673614502,
0.5594457387924194,
0.7628775835037231,
0.5903787016868591,
0.4103165864944458,
0.6745295524597168,
0.413804292678833,
0.6136220693588257,
0.6713148355484009,
0.4504237771034241,
0.6579337120056152,
0.4215548634529114,
0.5112786293029785,
0.4862152636051178,
0.48659852147102356,
0.44937849044799805,
0.5726538896560669,
0.707853376865387,
0.5536966323852539,
0.6675418019294739,
0.6280636787414551,
0.44688916206359863,
0.45316171646118164,
0.5866016745567322,
0.6947391629219055,
0.5035184621810913,
0.6078352928161621,
0.5917215347290039,
0.5215051770210266
] | [
0.4786834418773651,
0.7419916987419128,
0.4200146198272705,
0.6992809176445007,
0.45227664709091187,
0.27613312005996704,
0.5662128925323486,
0.25528818368911743,
0.4975988268852234,
0.5782183408737183,
0.38141554594039917,
0.5116475820541382,
0.2312433421611786,
0.38834160566329956,
0.3158011734485626,
0.2904455065727234,
0.25331902503967285,
0.44681599736213684,
0.6323806643486023,
0.42093580961227417,
0.545744776725769,
0.5029301643371582,
0.35306867957115173,
0.2498018443584442,
0.4182051420211792,
0.6101705431938171,
0.34317758679389954,
0.4852710962295532,
0.43566691875457764,
0.38028430938720703
] | [
0.6169160604476929,
0.7856059670448303,
0.5931702852249146,
0.765546977519989,
0.613337516784668,
0.4436579942703247,
0.681575357913971,
0.45049136877059937,
0.6307350397109985,
0.6729123592376709,
0.48338228464126587,
0.6688514351844788,
0.4523845314979553,
0.5423847436904907,
0.5134217739105225,
0.5139714479446411,
0.48682284355163574,
0.5936792492866516,
0.7245743274688721,
0.5785171985626221,
0.677604079246521,
0.6412214040756226,
0.4871739149093628,
0.490761399269104,
0.6063470244407654,
0.7065768241882324,
0.5368996858596802,
0.6229124665260315,
0.6134287714958191,
0.5357767343521118
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
A Unified Framework for Multi-view Multi-class Object Pose Estimation | [
"SilhoNet: An RGB Method for 3D Object Pose Estimation and Grasp Planning",
"Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes",
"Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images",
"Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation",
"Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image",
"On the routing in Flying Ad Hoc Networks",
"Sparse Kneser graphs are Hamiltonian",
"ScreenerNet: Learning Self-Paced Curriculum for Deep Neural Networks",
"Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding",
"Defect Detection in Patterned Fabrics Using Modified Local Binary Patterns",
"Data Mining techniques for the detection of fraudulent financial statements",
"The Use of Immersive Virtual Reality in the Learning Sciences: Digital Transformations of Teachers, Students, and Social Context",
"Real-Time Coordination of Plug-In Electric Vehicle Charging in Smart Grids to Minimize Power Losses and Improve Voltage Profile",
"A Data-Driven Architecture for Personalized QoE Management in 5G Wireless Networks",
"A survey on reactive programming",
"The Physics-of-Failure approach in reliability engineering",
"An Agile Approach to Capturing Requirements and Traceability",
"A Mosaic Approach to Touchless Fingerprint Image with Multiple Views",
"Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions",
"Towards Open-Set Identity Preserving Face Synthesis",
"Lux0R: Detection of Malicious PDF-embedded JavaScript code through Discriminant Analysis of API References",
"Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation",
"Toward Off-Policy Learning Control with Function Approximation",
"The restless mind.",
"Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems",
"A Unified Query-based Generative Model for Question Generation and Question Answering",
"An Enhanced Security for Government Base on Multifactor Biometric Authentication",
"A tutorial on human activity recognition using body-worn inertial sensors"
] | [
0.8776735067367554,
0.8716309070587158,
0.8855210542678833,
0.8828151226043701,
0.8694075345993042,
0.7778103351593018,
0.7978571653366089,
0.8298370838165283,
0.7998417615890503,
0.8018276691436768,
0.7995769381523132,
0.8057977557182312,
0.7982666492462158,
0.8019872307777405,
0.8040260076522827,
0.8001951575279236,
0.7857174873352051,
0.8564655184745789,
0.8046001195907593,
0.8399944305419922,
0.8092846274375916,
0.8246138095855713,
0.8289810419082642,
0.7312222719192505,
0.8517147302627563,
0.8392834067344666,
0.8251041769981384,
0.8293443918228149
] | [
0.8443523645401001,
0.8579903244972229,
0.8384629487991333,
0.8656010031700134,
0.8366788625717163,
0.7836068868637085,
0.7624589800834656,
0.7851511836051941,
0.7764071226119995,
0.7767102718353271,
0.7926982641220093,
0.7945770025253296,
0.7797026038169861,
0.7663168907165527,
0.8013123273849487,
0.7705311179161072,
0.784514844417572,
0.8313090205192566,
0.7642087936401367,
0.826191782951355,
0.7791227102279663,
0.7905875444412231,
0.7831200361251831,
0.7493369579315186,
0.8075075149536133,
0.8311543464660645,
0.8066611886024475,
0.8076403141021729
] | [
0.8270928859710693,
0.8337196111679077,
0.8045655488967896,
0.8315524458885193,
0.8369696140289307,
0.7400466203689575,
0.7535538673400879,
0.7571669220924377,
0.7663229703903198,
0.744783878326416,
0.7454937696456909,
0.7569507956504822,
0.7561100125312805,
0.7380375862121582,
0.7631534337997437,
0.7660756707191467,
0.7666792869567871,
0.7932835817337036,
0.7561885118484497,
0.7649322748184204,
0.7787039279937744,
0.7703653573989868,
0.7508643269538879,
0.7347279787063599,
0.824284017086029,
0.8177394866943359,
0.7613112926483154,
0.764893651008606
] | [
0.7299102544784546,
0.7453145980834961,
0.7459966540336609,
0.7440019845962524,
0.7447988986968994,
0.36997127532958984,
0.4794541299343109,
0.5298761129379272,
0.47863882780075073,
0.5139069557189941,
0.42967623472213745,
0.4237920641899109,
0.43384578824043274,
0.41753265261650085,
0.4780128002166748,
0.42205679416656494,
0.41598737239837646,
0.5392976999282837,
0.45748645067214966,
0.6205129623413086,
0.42291486263275146,
0.5812138319015503,
0.49269798398017883,
0.35549500584602356,
0.6521719694137573,
0.4458308815956116,
0.4877772927284241,
0.5194411873817444
] | [
0.6628416776657104,
0.6983022093772888,
0.6868277788162231,
0.6863793134689331,
0.6800680160522461,
0.2257731705904007,
0.382055401802063,
0.41351649165153503,
0.3529970049858093,
0.35710054636001587,
0.2931250035762787,
0.31035470962524414,
0.2953799068927765,
0.27595460414886475,
0.33214837312698364,
0.28489309549331665,
0.27012354135513306,
0.3959736227989197,
0.3143558204174042,
0.502659022808075,
0.26703107357025146,
0.4409714937210083,
0.3587808609008789,
0.27484387159347534,
0.5142459869384766,
0.30530956387519836,
0.34377408027648926,
0.3807789087295532
] | [
0.726647675037384,
0.7367185354232788,
0.7358993291854858,
0.74029940366745,
0.7337697148323059,
0.42254695296287537,
0.5216730237007141,
0.538638710975647,
0.5033217072486877,
0.531844437122345,
0.45713239908218384,
0.43875622749328613,
0.4661121368408203,
0.43695610761642456,
0.5045408010482788,
0.45393669605255127,
0.43661606311798096,
0.5627360343933105,
0.4762973189353943,
0.6295197606086731,
0.44816455245018005,
0.5816565155982971,
0.5154649615287781,
0.40767359733581543,
0.6575601100921631,
0.4742472171783447,
0.5189177989959717,
0.5295556783676147
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Latent fingerprint indexing: Fusion of level 1 and level 2 features | [
"Intersubject Differences in False Nonmatch Rates for a Fingerprint-Based Authentication System",
"A new, fast, and efficient image codec based on set partitioning in hierarchical trees",
"Modelling and analysing orientation fields of fingerprints",
"Fingerprint classification using one-vs-all support vector machines dynamically ordered with naive Bayes classifiers",
"An experimental investigation of kernels on graphs for collaborative recommendation and semisupervised classification",
"CONSUMERS ’ PURCHASE INTENTIONS TOWARDS NATURAL",
"Efficient Bayesian network modeling of systems",
"Fuzzy PID Based Trajectory Tracking Control of Mobile Robot and its Simulation in Simulink",
"Inventory Constrained Maritime Routing and Scheduling for Multi-Commodity Liquid Bulk",
"Predicting the Price of Bitcoin Using Machine Learning",
"BotGraph: Large Scale Spamming Botnet Detection",
"Deep LSTM based Feature Mapping for Query Classification",
"Bayesian Word Sense Induction",
"Gender identities and gender dysphoria in the Netherlands.",
"Understandable Big Data: A survey",
"Bottom-Up Abstractive Summarization",
"Tuning Response Curves for Synthetic Biology",
"Multi-level Attention Networks for Visual Question Answering",
"Persuasive Technology and Moral Responsibility Toward an ethical framework for persuasive technologies Paper for Persuasive 06",
"Scene recognition and weakly supervised object localization with deformable part-based models",
"Security Considerations around End-to-End Security in the IP-based Internet of Things",
"Trajectory Data Mining: An Overview",
"P-ETL: Parallel-ETL based on the MapReduce paradigm",
"GENDER ISSUES IN YOUNG CHILDREN ' S LITERATURE",
"FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance",
"ZooKeeper: Wait-free Coordination for Internet-scale Systems",
"Gas exchange theory and the lactic acidosis (anaerobic) threshold.",
"Contribution of Motivational Management to Employee Performance",
"Security Breach: The Case of TJX Companies, Inc"
] | [
0.8534637093544006,
0.8236075043678284,
0.8715425729751587,
0.8756901025772095,
0.8296647071838379,
0.8086376786231995,
0.8081921935081482,
0.8030732870101929,
0.7973469495773315,
0.817571222782135,
0.8366450667381287,
0.8465104103088379,
0.8191699981689453,
0.8156154155731201,
0.8449124097824097,
0.8196085691452026,
0.8290286064147949,
0.8194019794464111,
0.8106822967529297,
0.8289732336997986,
0.825221598148346,
0.8377202749252319,
0.8474235534667969,
0.7936720848083496,
0.8491990566253662,
0.8139848709106445,
0.8200283646583557,
0.774054229259491,
0.8023210763931274
] | [
0.8158695101737976,
0.7916438579559326,
0.8521943092346191,
0.8513128161430359,
0.8133189678192139,
0.7629190683364868,
0.78409743309021,
0.7618963718414307,
0.782366156578064,
0.7896736264228821,
0.8140645623207092,
0.8063434362411499,
0.793397843837738,
0.7812919616699219,
0.8240182995796204,
0.7916237115859985,
0.7997371554374695,
0.7918604612350464,
0.7822077870368958,
0.8107234239578247,
0.8127776384353638,
0.8057986497879028,
0.8165712356567383,
0.7542636394500732,
0.838620662689209,
0.8000787496566772,
0.8014779090881348,
0.7474454641342163,
0.7874660491943359
] | [
0.8154870271682739,
0.768593430519104,
0.8362761735916138,
0.8229138255119324,
0.7926008105278015,
0.755274772644043,
0.7528976798057556,
0.7347294092178345,
0.759627103805542,
0.7888469696044922,
0.7922059893608093,
0.7797291278839111,
0.7792998552322388,
0.772714376449585,
0.7899554967880249,
0.78287672996521,
0.77634197473526,
0.7674883008003235,
0.7601094841957092,
0.797504186630249,
0.7708308696746826,
0.7882201075553894,
0.7779639959335327,
0.722037672996521,
0.7961788177490234,
0.7729835510253906,
0.7760516405105591,
0.7285217046737671,
0.7787213921546936
] | [
0.74882572889328,
0.573878288269043,
0.7884681224822998,
0.7639774084091187,
0.5866439938545227,
0.4179164171218872,
0.5217348337173462,
0.3987217843532562,
0.4127274751663208,
0.499325156211853,
0.5797009468078613,
0.5817368626594543,
0.5370405912399292,
0.3881624937057495,
0.518894612789154,
0.5425506830215454,
0.4578614830970764,
0.5381128787994385,
0.45002496242523193,
0.5735683441162109,
0.4878004193305969,
0.5495517253875732,
0.50714111328125,
0.3301483988761902,
0.6056548357009888,
0.408833384513855,
0.3823654353618622,
0.3587549924850464,
0.42568209767341614
] | [
0.679573118686676,
0.44922295212745667,
0.7099805474281311,
0.6978142261505127,
0.48936694860458374,
0.29629141092300415,
0.3983640968799591,
0.24176061153411865,
0.293289452791214,
0.34799307584762573,
0.45308375358581543,
0.45859086513519287,
0.39216071367263794,
0.2630671560764313,
0.39907875657081604,
0.404790997505188,
0.3157104253768921,
0.38091161847114563,
0.30240458250045776,
0.45214933156967163,
0.325228214263916,
0.42121246457099915,
0.40754634141921997,
0.189627006649971,
0.48180505633354187,
0.2511236071586609,
0.2590849995613098,
0.2463747262954712,
0.3166857957839966
] | [
0.7609719038009644,
0.5936242341995239,
0.7946790456771851,
0.7722270488739014,
0.6022586822509766,
0.45987555384635925,
0.5457757115364075,
0.4243893623352051,
0.452106237411499,
0.5290963649749756,
0.593645453453064,
0.5971562266349792,
0.5596619248390198,
0.4129946231842041,
0.5373219847679138,
0.5617160797119141,
0.4932222366333008,
0.5527524948120117,
0.4773961305618286,
0.589823842048645,
0.5083229541778564,
0.5651668906211853,
0.5431267619132996,
0.3828984498977661,
0.6170895099639893,
0.44753605127334595,
0.4224357008934021,
0.4051915109157562,
0.4846506714820862
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Contextual String Embeddings for Sequence Labeling | [
"Towards Addressing the Winograd Schema Challenge - Building and Using a Semantic Parser and a Knowledge Hunting Module",
"Semantic Technology",
"AWML: adaptive weighted margin learning for knowledge graph embedding",
"A Dataset for Inter-Sentence Relation Extraction using Distant Supervision",
"Using Thought-Provoking Children's Questions to Drive Artificial Intelligence Research",
"A 10-Bit 0.5 V 100 KS/S SAR ADC with a New rail-to-rail Comparator for Energy Limited Applications",
"A systematic review of vitamin D status in populations worldwide.",
"Learning from one's own errors and those of others.",
"Ghrelin-induced sleep responses in ad libitum fed and food-restricted rats",
"Wormhole attacks in wireless networks",
"Real-Time Monocular Object-Model Aware Sparse SLAM",
"SmartSync : An Integrated Real-Time Structural Health Monitoring and Structural Identi fi cation System for Tall Buildings",
"A Survey on PageRank Computing",
"Tighter Bounds for Graph Steiner Tree Approximation",
"Efficient exploration with Double Uncertain Value Networks",
"Accelerating Deep Convolutional Networks using low-precision and sparsity",
"Cloud, fog and edge: Cooperation for the future?",
"Automatic Topic Labeling Using Ontology-Based Topic Models",
"Designing for video engagement on social networks: a video marketing case study",
"Zero Knowledge Proofs : A Survey",
"Mind the tracker you wear: a security analysis of wearable health trackers",
"Knowledge Base Question Answering Based on Deep Learning Models",
"Revenue : 229 B Revenue : ? Birth Year : ? Height : ? Weight : 70",
"The Blockchain and Kudos: A Distributed System for Educational Record, Reputation and Reward",
"Question Answering over Knowledge Base using Factual Memory Networks",
"Event Extraction with Generative Adversarial Imitation Learning",
"Principles and clinical implications of the brain–gut–enteric microbiota axis",
"Credit Card Fraud Detection Using Hidden Markov Model",
"Cloud computing: state-of-the-art and research challenges",
"EFFECTS OF WORD-OF-MOUTH VERSUS TRADITIONAL MARKETING : FINDINGS FROM AN INTERNET SOCIAL NETWORKING SITE"
] | [
0.8328715562820435,
0.8193745613098145,
0.8651112914085388,
0.8371279835700989,
0.803663969039917,
0.8026999235153198,
0.7848803997039795,
0.7959468364715576,
0.7813094854354858,
0.81122887134552,
0.8322378396987915,
0.8201764225959778,
0.8221290707588196,
0.8418161869049072,
0.8145583868026733,
0.8290282487869263,
0.7925679683685303,
0.8558974862098694,
0.8035417795181274,
0.8163946866989136,
0.8257464170455933,
0.8304409980773926,
0.7506624460220337,
0.800530195236206,
0.8345527648925781,
0.8418004512786865,
0.792373776435852,
0.813486635684967,
0.8014636039733887,
0.8015412092208862
] | [
0.8077659606933594,
0.8077357411384583,
0.811805009841919,
0.8193274140357971,
0.7751404047012329,
0.7493329048156738,
0.7506685256958008,
0.7457963824272156,
0.746447741985321,
0.7970300912857056,
0.7816131114959717,
0.7670092582702637,
0.7898603081703186,
0.7944950461387634,
0.7798694372177124,
0.798234224319458,
0.7623233199119568,
0.8244494199752808,
0.7756603956222534,
0.7996087670326233,
0.7692322731018066,
0.81424880027771,
0.7446621656417847,
0.7751309871673584,
0.8040063381195068,
0.8099615573883057,
0.7568171620368958,
0.7786387205123901,
0.7575012445449829,
0.7601832151412964
] | [
0.8011641502380371,
0.7680240869522095,
0.8331730365753174,
0.8155038356781006,
0.7612899541854858,
0.7531477212905884,
0.736243486404419,
0.7425693273544312,
0.737506628036499,
0.7607932090759277,
0.7488007545471191,
0.7411510944366455,
0.7978806495666504,
0.7676215767860413,
0.768146276473999,
0.7761727571487427,
0.7591182589530945,
0.7949122190475464,
0.7628667950630188,
0.7804629802703857,
0.7461273670196533,
0.7568670511245728,
0.7418032884597778,
0.7633655667304993,
0.7755988836288452,
0.7824902534484863,
0.7506184577941895,
0.7640388011932373,
0.7573368549346924,
0.7533906698226929
] | [
0.6219995021820068,
0.6004176139831543,
0.6604121327400208,
0.6937108039855957,
0.48254066705703735,
0.28655874729156494,
0.35499557852745056,
0.457643061876297,
0.3900088667869568,
0.4292639493942261,
0.47680288553237915,
0.4567394256591797,
0.5849041938781738,
0.5052739381790161,
0.529146671295166,
0.5518457293510437,
0.3884105086326599,
0.662975013256073,
0.465165376663208,
0.4977233409881592,
0.44853466749191284,
0.5962252020835876,
0.39921554923057556,
0.4861076772212982,
0.624221920967102,
0.6186333298683167,
0.40156835317611694,
0.5817689895629883,
0.4451445937156677,
0.42082199454307556
] | [
0.49241873621940613,
0.46128517389297485,
0.5896185636520386,
0.5911201238632202,
0.35477709770202637,
0.1406225562095642,
0.1576712727546692,
0.36419764161109924,
0.24093391001224518,
0.26560646295547485,
0.30887526273727417,
0.32416465878486633,
0.4409511685371399,
0.38144490122795105,
0.3848794102668762,
0.39971691370010376,
0.2290911227464676,
0.5631256103515625,
0.3179987668991089,
0.32241421937942505,
0.2812948524951935,
0.48547622561454773,
0.28628379106521606,
0.33416372537612915,
0.5243889093399048,
0.48246529698371887,
0.24815420806407928,
0.44137194752693176,
0.29428401589393616,
0.25269365310668945
] | [
0.6274425387382507,
0.6040728092193604,
0.6733685731887817,
0.6887296438217163,
0.4995344877243042,
0.3240831196308136,
0.3767712116241455,
0.4954012632369995,
0.41211915016174316,
0.45598292350769043,
0.49915575981140137,
0.4800656735897064,
0.6031135320663452,
0.5343003869056702,
0.5506285429000854,
0.5647131204605103,
0.4171518385410309,
0.6712900400161743,
0.4907296597957611,
0.5227165222167969,
0.46565526723861694,
0.5982393622398376,
0.3526827096939087,
0.5112868547439575,
0.6329196095466614,
0.6237833499908447,
0.4095495939254761,
0.5844029784202576,
0.46689581871032715,
0.4434570074081421
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Using the Bitcoin Transaction Graph to Predict the Price of Bitcoin | [
"Cryptocurrency Price Prediction Using News and Social Media Sentiment",
"Prediction of Bitcoin Price using Data Mining",
"An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information",
"Time series forecast in non-stationary environment with occurence of economic bubbles Bitcoin Price prediction",
"Predicting the Price of Bitcoin Using Machine Learning",
"Reading and Interpreting Ethnography",
"A Comprehensive Survey on Educational Data Mining and Use of Data Mining Techniques for Improving Teaching and Predicting Student Performance",
"Supporting Healthy Grocery Shopping via Mobile Augmented Reality",
"Nonequilibrium Thermodynamics Modeling of Coupled Biochemical Cycles in Living Cells",
"Exploring the Usability of Augmented Reality Interaction Techniques During Children's Early Elementary-School Years",
"Splitting Input Sentence for Machine Translation Using Language Model with Sentence Similarity",
"Diffeomorphic demons: Efficient non-parametric image registration",
"Return On Security Investment (ROSI) - A Practical Quantitative Modell",
"ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras",
"Swing-up and stabilization of a cart-pendulum system under restricted cart track length",
"An Investigation on Mobile Banking Adoption and Usage : A Case Study of Mauritius",
"Information Links and Electronic Marketplaces: The Role of Interorganizational Information Systems in Vertical Markets",
"Muscle hypertrophy and a syndrome of continuous motor unit activity in prednisone-responsive Guillain-Barré polyneuropathy",
"Malicious URL Detection using Machine Learning: A Survey",
"Toric Topographically Customized Transepithelial, Pulsed, Very High-Fluence, Higher Energy and Higher Riboflavin Concentration Collagen Cross-Linking in Keratoconus",
"Search Engines - Information Retrieval in Practice",
"How ‘ Big Data ’ is Different FALL 2012",
"Wildest Faces: Face Detection and Recognition in Violent Settings",
"Problem-Based Learning : What and How Do Students Learn ?",
"Class label autoencoder for zero-shot learning",
"From senses to texts: An all-in-one graph-based approach for measuring semantic similarity",
"Bias caused by template annealing in the amplification of mixtures of 16S rRNA genes by PCR.",
"Large-Scale QA-SRL Parsing",
"The mythos of model interpretability",
"Bank Liquidity Creation"
] | [
0.9025652408599854,
0.9383254051208496,
0.9008132219314575,
0.8906593918800354,
0.9547626972198486,
0.8125311136245728,
0.828331470489502,
0.8273507356643677,
0.8224875926971436,
0.8053011894226074,
0.8349125385284424,
0.8116465210914612,
0.8246306777000427,
0.7920156717300415,
0.788407564163208,
0.7999411821365356,
0.7908822298049927,
0.7626624703407288,
0.8198320269584656,
0.7800484299659729,
0.8216311931610107,
0.8345537185668945,
0.8090537190437317,
0.7923551797866821,
0.8097585439682007,
0.8403071165084839,
0.8119581341743469,
0.8130314350128174,
0.8334574699401855,
0.82647705078125
] | [
0.8822498917579651,
0.9141566753387451,
0.8822332620620728,
0.8679817318916321,
0.9359556436538696,
0.7917866110801697,
0.8122907876968384,
0.8108855485916138,
0.7874908447265625,
0.7751240134239197,
0.8038687109947205,
0.7834863662719727,
0.8152449131011963,
0.7764047384262085,
0.7624532580375671,
0.7897782921791077,
0.7830418348312378,
0.7531152963638306,
0.7982515096664429,
0.7680037021636963,
0.8041283488273621,
0.7945221662521362,
0.7686053514480591,
0.7670836448669434,
0.7843092679977417,
0.818279504776001,
0.7710698843002319,
0.7959299087524414,
0.8145965933799744,
0.8133771419525146
] | [
0.850040853023529,
0.9076395034790039,
0.8710362315177917,
0.8711869716644287,
0.9377351403236389,
0.7651809453964233,
0.8047796487808228,
0.7769830226898193,
0.7724134922027588,
0.7739678025245667,
0.7843639850616455,
0.7651814222335815,
0.7916573286056519,
0.793765127658844,
0.7399104833602905,
0.7778424024581909,
0.763693630695343,
0.742071270942688,
0.7772151231765747,
0.7604758739471436,
0.8166314363479614,
0.7780297994613647,
0.7770076990127563,
0.7369215488433838,
0.7884244918823242,
0.7969383001327515,
0.7813587188720703,
0.7773199081420898,
0.8010221719741821,
0.8042235374450684
] | [
0.7753180265426636,
0.873598575592041,
0.8502696752548218,
0.7716896533966064,
0.8929105997085571,
0.3849894106388092,
0.5058685541152954,
0.42780792713165283,
0.44139885902404785,
0.3638424575328827,
0.44954434037208557,
0.4266844391822815,
0.5789983868598938,
0.38430967926979065,
0.4008272588253021,
0.4630360007286072,
0.49712467193603516,
0.3335338234901428,
0.49063026905059814,
0.3180443048477173,
0.42381465435028076,
0.42488354444503784,
0.4390578866004944,
0.4339312016963959,
0.4440782368183136,
0.5315697193145752,
0.38695570826530457,
0.45299792289733887,
0.5341653227806091,
0.515310525894165
] | [
0.6984342932701111,
0.8321447372436523,
0.7888574004173279,
0.707675576210022,
0.8578031659126282,
0.21703490614891052,
0.36120322346687317,
0.2715453803539276,
0.30063116550445557,
0.19328047335147858,
0.30896973609924316,
0.3082149624824524,
0.43340376019477844,
0.25099533796310425,
0.24813750386238098,
0.30710721015930176,
0.3780432343482971,
0.1864563375711441,
0.35804399847984314,
0.17586106061935425,
0.2962872385978699,
0.35969823598861694,
0.28428590297698975,
0.2755078077316284,
0.3048797845840454,
0.4306386113166809,
0.2275700867176056,
0.32129526138305664,
0.4250665307044983,
0.41396331787109375
] | [
0.7822418212890625,
0.8752973079681396,
0.8544511795043945,
0.7587870359420776,
0.8998187184333801,
0.4298637807369232,
0.5314460396766663,
0.4582015872001648,
0.477592408657074,
0.3965202569961548,
0.48740777373313904,
0.47196751832962036,
0.5936304330825806,
0.43732160329818726,
0.4281264841556549,
0.48985347151756287,
0.5209780335426331,
0.37086108326911926,
0.5223270654678345,
0.35811036825180054,
0.4689040780067444,
0.45368635654449463,
0.47725170850753784,
0.46931326389312744,
0.48689207434654236,
0.5553370118141174,
0.4259127974510193,
0.4883350431919098,
0.563370943069458,
0.5643947720527649
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Nanoscale memristor device as synapse in neuromorphic systems. | [
"Neuromorphic Computing Based on Emerging Memory Technologies",
"Spike-timing dependent plasticity in a transistor-selected resistive switching memory.",
"Reservoir computing using dynamic memristors for temporal information processing",
"From algorithms to devices: Enabling machine learning through ultra-low-power VLSI mixed-signal array processing",
"Unsupervised Learning by Spike Timing Dependent Plasticity in Phase Change Memory (PCM) Synapses",
"Challenges of Implementing E-Learning in Kenya : A Case of Kenyan Public Universities",
"The Design , Implementation , and Evaluation of a Pointing Device For a Wearable Computer",
"Hydroxyapatite scaffolds for bone tissue engineering made by 3D printing.",
"Multiple-Valued Logic in VLSI: Challenges and Opportunities",
"Does Microfinance Really Help the Poor ? New Evidence from Flagship Programs in Bangladesh",
"Business Process Simulation Survival Guide",
"Luminescence in Sulfides: A Rich History and a Bright Future",
"Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis",
"IoTPOT: Analysing the Rise of IoT Compromises",
"Rainbow: Combining Improvements in Deep Reinforcement Learning",
"TwinsCoin: A Cryptocurrency via Proof-of-Work and Proof-of-Stake",
"Latent Structures for Coreference Resolution",
"Web enabled spatio-temporal semantic analysis of traffic noise using CityGML",
"Fault-Tolerant Trajectory Tracking Control of a Quadrotor Helicopter Using Gain-Scheduled PID and Model Reference Adaptive Control",
"Mobile-sandbox: having a deeper look into android applications",
"ISOODL: Instance segmentation of overlapping biological objects using deep learning",
"Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model",
"Data Clustering: Algorithms and Applications",
"Progressive and Multi-Path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images",
"3D-LaneNet: end-to-end 3D multiple lane detection",
"Factors affecting adoption of mobile banking in Pakistan : Empirical Evidence",
"Poly(ethylene glycol) and Cyclodextrin-Grafted Chitosan: From Methodologies to Preparation and Potential Biotechnological Applications",
"Putting flesh on the Duality of Structure: the case of IT Consumerization",
"Big Data Analytics for Smart Manufacturing : Case Studies in Semiconductor Manufacturing"
] | [
0.8872536420822144,
0.8710266351699829,
0.8806127309799194,
0.8268089294433594,
0.8566457033157349,
0.7720009684562683,
0.819268524646759,
0.8396885395050049,
0.8136139512062073,
0.7668895125389099,
0.7734032869338989,
0.7865334153175354,
0.794037938117981,
0.7975152134895325,
0.8058978915214539,
0.8110474348068237,
0.7999614477157593,
0.7876253724098206,
0.8031430840492249,
0.8143000602722168,
0.8304821848869324,
0.8279590606689453,
0.8139727711677551,
0.8137726187705994,
0.8063374757766724,
0.7678875923156738,
0.8102668523788452,
0.786033570766449,
0.7962668538093567
] | [
0.8493587970733643,
0.860319972038269,
0.8682914972305298,
0.820197343826294,
0.8273508548736572,
0.735760509967804,
0.8126509189605713,
0.8222270011901855,
0.7875766754150391,
0.7468538284301758,
0.7798638343811035,
0.7946720123291016,
0.7796151638031006,
0.7917933464050293,
0.791154682636261,
0.7863150835037231,
0.7710764408111572,
0.763308048248291,
0.7631592750549316,
0.7748249769210815,
0.7950291633605957,
0.7741997241973877,
0.7828831076622009,
0.7613708972930908,
0.7634576559066772,
0.7324128746986389,
0.7608331441879272,
0.7910969257354736,
0.7815099954605103
] | [
0.8737466335296631,
0.8669899702072144,
0.8605339527130127,
0.8055616617202759,
0.835601806640625,
0.7435860633850098,
0.8042925000190735,
0.8366490602493286,
0.78476881980896,
0.7511387467384338,
0.7835773229598999,
0.7792097330093384,
0.7655335068702698,
0.7951395511627197,
0.7820470929145813,
0.7990896105766296,
0.7777798175811768,
0.7649307250976562,
0.7796939611434937,
0.7922053337097168,
0.8098728656768799,
0.7826451659202576,
0.7807270884513855,
0.788963258266449,
0.7641686201095581,
0.7452899813652039,
0.7668480277061462,
0.7919087409973145,
0.8052111268043518
] | [
0.8288124203681946,
0.8105524778366089,
0.8489453196525574,
0.6444337368011475,
0.7576262950897217,
0.3803073763847351,
0.544680118560791,
0.47085729241371155,
0.6177250742912292,
0.3873003125190735,
0.4192754030227661,
0.487541139125824,
0.34766244888305664,
0.45172905921936035,
0.5072911381721497,
0.48986679315567017,
0.41309431195259094,
0.4530496895313263,
0.43291279673576355,
0.4506087899208069,
0.48157331347465515,
0.5196855068206787,
0.4356360137462616,
0.45678526163101196,
0.4511909484863281,
0.3872825503349304,
0.4414301812648773,
0.4506816267967224,
0.5229319930076599
] | [
0.7922520637512207,
0.7495005130767822,
0.7987779378890991,
0.5095563530921936,
0.6639617681503296,
0.2004496455192566,
0.3752904534339905,
0.3314692974090576,
0.4923485219478607,
0.22724932432174683,
0.2183484435081482,
0.3079829812049866,
0.15559808909893036,
0.26503074169158936,
0.3745885491371155,
0.323811411857605,
0.2581096589565277,
0.2914183437824249,
0.2658393383026123,
0.2949833273887634,
0.3381854295730591,
0.3742785155773163,
0.2533937096595764,
0.3058323264122009,
0.3231510519981384,
0.20526361465454102,
0.28293946385383606,
0.28312885761260986,
0.3551848828792572
] | [
0.8203983902931213,
0.7930304408073425,
0.8324686884880066,
0.6505348682403564,
0.737982451915741,
0.40765899419784546,
0.564797043800354,
0.48663225769996643,
0.6268020868301392,
0.4217958450317383,
0.456682026386261,
0.5201615691184998,
0.38528549671173096,
0.47692447900772095,
0.5290761590003967,
0.5244714021682739,
0.44073593616485596,
0.4768490791320801,
0.4652012586593628,
0.4726259410381317,
0.500974178314209,
0.551525354385376,
0.46010470390319824,
0.48543277382850647,
0.469687819480896,
0.41235747933387756,
0.4590083956718445,
0.47165095806121826,
0.5280709862709045
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Deep Features for Text Spotting | [
"A Method for Text Localization and Recognition in Real-World Images",
"Towards End-to-End Text Spotting with Convolutional Recurrent Neural Networks",
"Automatic Scene Text Recognition using a Convolutional Neural Network",
"TextBoxes: A Fast Text Detector with a Single Deep Neural Network",
"Reading Text in the Wild with Convolutional Neural Networks",
"SimpleDS: A Simple Deep Reinforcement Learning Dialogue System",
"The Turn - Integration of Information Seeking and Retrieval in Context",
"Perceptions about Eclampsia, Birth Preparedness, and Complications Readiness among Antenatal Clients Attending a Specialist Hospital in Kano, Nigeria",
"Directing exploratory search: reinforcement learning from user interactions with keywords",
"Training generative neural networks via Maximum Mean Discrepancy optimization",
"Lightning performance of transmission lines partially protected by surge arresters considering typical Brazilian conditions",
"Asking 'Why' in AI: Explainability of intelligent systems - perspectives and challenges",
"Cost-analysis : How do monads and comonads differ ?",
"The debate over dopamine’s role in reward: the case for incentive salience",
"Toward a Lightweight Authentication and Authorization Framework for Smart Objects",
"Training Agent for First-Person Shooter Game with Actor-Critic Curriculum Learning",
"Evaluating Critical Security Issues of the IoT World: Present and Future Challenges",
"Deep learning for healthcare: review, opportunities and challenges",
"Deep learning",
"On Integrated Clustering and Outlier Detection",
"Leadership and Knowledge Sharing",
"Knowledge Sharing Behaviour in the Public Sector : the Business Process Management Perspectives",
"Pattern recognition techniques for the identification of Activities of Daily Living using mobile device accelerometer",
"Generating Accurate Rule Sets Without Global Optimization",
"Unitary Evolution Recurrent Neural Networks",
"How Well Can We Predict Hypernyms from Word Embeddings? A Dataset-Centric Analysis",
"An Overview of Blockchain and Consensus Protocols for IoT Networks",
"Extractive Summarization Using Supervised and Semi-Supervised Learning",
"Data Augmentation for Time Series Classification using Convolutional Neural Networks",
"Movie Rating Prediction"
] | [
0.8787263631820679,
0.9109885692596436,
0.8884831666946411,
0.8964937925338745,
0.8920753598213196,
0.849200963973999,
0.8287619352340698,
0.768876314163208,
0.8357230424880981,
0.8287093639373779,
0.7853772640228271,
0.8192520141601562,
0.7893719673156738,
0.78389573097229,
0.8014596104621887,
0.7914382219314575,
0.7884618043899536,
0.8614596128463745,
0.8830203413963318,
0.8248828053474426,
0.7963207960128784,
0.7803021669387817,
0.81772780418396,
0.8267468810081482,
0.8339889645576477,
0.8409724235534668,
0.8086657524108887,
0.8401157855987549,
0.8504210114479065,
0.8152870535850525
] | [
0.8727051019668579,
0.907023549079895,
0.8556053042411804,
0.8740510940551758,
0.8769053220748901,
0.8173638582229614,
0.8122315406799316,
0.7571244239807129,
0.8039873242378235,
0.8171511292457581,
0.7486854791641235,
0.8054491281509399,
0.791874885559082,
0.7834447026252747,
0.7939012050628662,
0.7804293632507324,
0.7872322797775269,
0.8306938409805298,
0.8613650798797607,
0.8269076347351074,
0.8104219436645508,
0.7768539190292358,
0.800994873046875,
0.8112237453460693,
0.8161078691482544,
0.8156062364578247,
0.7916595935821533,
0.8285014033317566,
0.7991752624511719,
0.812026858329773
] | [
0.8423463106155396,
0.8982082009315491,
0.8502856492996216,
0.854808509349823,
0.858534038066864,
0.8008953332901001,
0.7825644612312317,
0.7274573445320129,
0.7796319127082825,
0.7798382043838501,
0.7270590662956238,
0.7837907075881958,
0.7585642337799072,
0.7614600658416748,
0.7760529518127441,
0.7745206356048584,
0.7666294574737549,
0.8266215324401855,
0.8534730076789856,
0.7791030406951904,
0.7712496519088745,
0.7489233613014221,
0.7731542587280273,
0.7818139791488647,
0.8025859594345093,
0.7916529774665833,
0.7916902303695679,
0.7932400703430176,
0.8086596727371216,
0.7836636304855347
] | [
0.8179081678390503,
0.9029903411865234,
0.823090672492981,
0.8213430643081665,
0.7718479633331299,
0.5281444787979126,
0.5257828235626221,
0.30494779348373413,
0.5424973964691162,
0.6041611433029175,
0.360124409198761,
0.4915337562561035,
0.4390929937362671,
0.4225529134273529,
0.39426106214523315,
0.4984748959541321,
0.4138070046901703,
0.6068674921989441,
0.708358108997345,
0.5398308038711548,
0.40400344133377075,
0.3652920722961426,
0.4851638972759247,
0.504030168056488,
0.5579827427864075,
0.5846577882766724,
0.3787539303302765,
0.5579264163970947,
0.6003038883209229,
0.464754581451416
] | [
0.7405462265014648,
0.8677330613136292,
0.7623316645622253,
0.7602726817131042,
0.6988062262535095,
0.39382749795913696,
0.39097023010253906,
0.15092185139656067,
0.4258195161819458,
0.4648776650428772,
0.2438863217830658,
0.3619121015071869,
0.29103317856788635,
0.27355682849884033,
0.19596561789512634,
0.3522033989429474,
0.21285587549209595,
0.49487239122390747,
0.6213511228561401,
0.3718140721321106,
0.24007605016231537,
0.21495553851127625,
0.2781934142112732,
0.35778576135635376,
0.4511774480342865,
0.47017353773117065,
0.20113018155097961,
0.4292328357696533,
0.4828401803970337,
0.3631775677204132
] | [
0.8076574206352234,
0.9003380537033081,
0.8088295459747314,
0.820732593536377,
0.7670457363128662,
0.5516241192817688,
0.5322699546813965,
0.3339509963989258,
0.557926595211029,
0.6226686239242554,
0.39587530493736267,
0.510198175907135,
0.47886958718299866,
0.45500463247299194,
0.41797539591789246,
0.5170515775680542,
0.42571938037872314,
0.6091979146003723,
0.7086448073387146,
0.5546671152114868,
0.426168292760849,
0.3845851421356201,
0.49474722146987915,
0.5289069414138794,
0.5805215835571289,
0.5882512927055359,
0.40347546339035034,
0.563488245010376,
0.6081774234771729,
0.4770871698856354
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Transformational Sparse Coding | [
"Exploring Deep Learning Methods for Discovering Features in Speech Signals",
"Compressed Sensing using Generative Models",
"An Algorithm for Learning Shape and Appearance Models without Annotations",
"Sparse Unsupervised Capsules Generalize Better",
"Bottom-up and top-down reasoning with convolutional latent-variable models",
"Agile Methods and CMMI: Compatibility or Conflict?",
"Safety critical systems: challenges and directions",
"Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images",
"Helping Users Understand Privacy Notices with Automated Query Answering Functionality : An Exploratory Study",
"A review of bioinformatic pipeline frameworks",
"Artificial neural networks: fundamentals, computing, design, and application.",
"Evaluating Student Satisfaction with Blended Learning in a Gender-Segregated Environment",
"Combining fraud and intrusion detection-meeting new requirements -",
"A Bayesian approach to adaptive video super resolution",
"Boosting Algorithms as Gradient Descent in Function",
"What Data Is Necessary to Data Mine for Knowledge?",
"2 The Role of Quantitative Models in Science",
"Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions",
"Employing Morphological Structures and Sememes for Chinese Event Extraction",
"How Alluring Are Dark Personalities ? The Dark Triad and Attractiveness in Speed Dating",
"T-SGX: Eradicating Controlled-Channel Attacks Against Enclave Programs",
"The Networked Physical World System",
"A segmentation-free approach to Arabic and Urdu OCR",
"Epidemiological characteristics and causes of deaths in hospitalized patients under intensive care.",
"Deep learning for healthcare decision making with EMRs",
"Early Pest Identification in Agricultural Crops using Image Processing Techniques",
"The Málaga urban dataset: High-rate stereo and LiDAR in a realistic urban scenario",
"Integrated Design of Agile Missile Guidance and Autopilot Systems",
"Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix"
] | [
0.8223868012428284,
0.8285092115402222,
0.8314262628555298,
0.8800480961799622,
0.8253535032272339,
0.780581533908844,
0.8067483901977539,
0.8257436156272888,
0.793846845626831,
0.8420581817626953,
0.8259402513504028,
0.7923317551612854,
0.8095471262931824,
0.8356049060821533,
0.8372246623039246,
0.8052724003791809,
0.8143883347511292,
0.8183826208114624,
0.8134667277336121,
0.7805635929107666,
0.8253078460693359,
0.8235975503921509,
0.8283885717391968,
0.7692663669586182,
0.8312108516693115,
0.7841838002204895,
0.8048866987228394,
0.8041287660598755,
0.7848559021949768
] | [
0.7993283867835999,
0.8603639602661133,
0.8020758628845215,
0.8652033805847168,
0.8002684116363525,
0.7560862302780151,
0.7643470168113708,
0.800046443939209,
0.7693451046943665,
0.7993336915969849,
0.7899878025054932,
0.7565157413482666,
0.7685335874557495,
0.8026444315910339,
0.8196965456008911,
0.767859697341919,
0.7918877601623535,
0.800349235534668,
0.7575938701629639,
0.7770979404449463,
0.8159515261650085,
0.8032141923904419,
0.7868533134460449,
0.7465884685516357,
0.7953168153762817,
0.7793965935707092,
0.7900238037109375,
0.7631413340568542,
0.7733144164085388
] | [
0.7860328555107117,
0.8474167585372925,
0.7921239137649536,
0.8360959887504578,
0.7983297109603882,
0.7405675053596497,
0.7546289563179016,
0.7828724384307861,
0.7651182413101196,
0.7863192558288574,
0.7834402322769165,
0.7306361794471741,
0.7723753452301025,
0.7960842847824097,
0.8109914660453796,
0.7602425813674927,
0.7740685343742371,
0.7909547090530396,
0.7471544742584229,
0.7832189202308655,
0.7828735113143921,
0.780349850654602,
0.7728558778762817,
0.7512363195419312,
0.7784836888313293,
0.7384570240974426,
0.7863174676895142,
0.7545421123504639,
0.7387298941612244
] | [
0.6128224730491638,
0.7323647737503052,
0.6736153364181519,
0.7066178917884827,
0.6037883758544922,
0.3782896399497986,
0.44007962942123413,
0.5931569337844849,
0.4274097681045532,
0.5007792711257935,
0.6051704287528992,
0.4264988899230957,
0.4069367051124573,
0.6137152910232544,
0.6186643838882446,
0.4065135717391968,
0.4915779232978821,
0.6244614720344543,
0.5248242616653442,
0.42371001839637756,
0.45395800471305847,
0.495576947927475,
0.5903753042221069,
0.3769189119338989,
0.544684112071991,
0.5456914305686951,
0.5783543586730957,
0.43685382604599,
0.4210141897201538
] | [
0.49177268147468567,
0.6455318927764893,
0.5446105003356934,
0.6030113101005554,
0.45907384157180786,
0.22869747877120972,
0.28161513805389404,
0.4923240542411804,
0.23969995975494385,
0.3493563234806061,
0.4507044553756714,
0.2938028872013092,
0.21088875830173492,
0.4942854940891266,
0.4589277505874634,
0.29646778106689453,
0.3721162974834442,
0.5015103220939636,
0.3660208284854889,
0.2882644534111023,
0.31104791164398193,
0.331096351146698,
0.4331550598144531,
0.23195922374725342,
0.40498220920562744,
0.38756465911865234,
0.47338488698005676,
0.2680312395095825,
0.25001657009124756
] | [
0.6262192726135254,
0.7407700419425964,
0.6811376810073853,
0.7248547077178955,
0.6237704753875732,
0.41754305362701416,
0.4691504240036011,
0.6036548018455505,
0.46113109588623047,
0.5337605476379395,
0.6201061010360718,
0.4628870487213135,
0.4361083507537842,
0.6304816007614136,
0.6276466846466064,
0.417373389005661,
0.526800274848938,
0.6362316012382507,
0.5512274503707886,
0.4503968060016632,
0.5037347078323364,
0.5388041138648987,
0.6093870401382446,
0.41146111488342285,
0.5567025542259216,
0.5629741549491882,
0.5994336605072021,
0.4690468907356262,
0.4514450430870056
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Top-N Recommendation on Graphs | [
"Moving beyond linearity and independence in top-N recommender systems",
"Evolutionary computing in recommender systems: a review of recent research",
"Improving Collaborative Recommendation via User-Item Subgroups",
"On the Effectiveness of Linear Models for One-Class Collaborative Filtering",
"Predictive Collaborative Filtering with Side Information",
"Design and construction of axial flux permanent magnet generator for wind turbine generated DC voltage at rated power 1500 W",
"Factor in the neighbors: Scalable and accurate collaborative filtering",
"Assessing Security and Performances of Consensus algorithms for Permissioned Blockchains",
"Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting",
"Dynamic Network Surgery for Efficient DNNs",
"NoSQL evaluation: A use case oriented survey",
"Organizational Training within Digital Transformation: The ToOW Model",
"Bio-inspired knee joint mechanism for a hydraulic quadruped robot",
"Mobile Edge Computing",
"ON EDUCATIONAL DATA MINING TECHNIQUES",
"A Neural Chatbot with Personality",
"Learning to Play Computer Games with Deep Learning and Reinforcement Learning Interim Report",
"Intelligent automation entering the business world",
"What Makes a Leader ? The Impact of Cognitive and",
"Language Model Based Grammatical Error Correction without Annotated Training Data",
"Application of ordinal logistic regression analysis in determining risk factors of child malnutrition in Bangladesh",
"Going deeper in facial expression recognition using deep neural networks",
"Standardized Precipitation Evapotranspiration Index ( SPEI ) revisited : parameter fitting , evapotranspiration models , tools , datasets and drought monitoring",
"Operator Variational Inference",
"A CONCEPTUAL PRIVACY FRAMEWORK FOR PRIVACY-AWARE IOT HEALTH APPLICATIONS",
"Goal-Oriented Requirements Engineering: An Overview of the Current Research",
"Cooperation between the default mode network and the frontal–parietal network in the production of an internal train of thought",
"In-place Activated BatchNorm for Memory-Optimized Training of DNNs",
"Elastic Bands: Connecting Path Planning and Control",
"Robustness May Be at Odds with Accuracy"
] | [
0.8967939615249634,
0.8456423282623291,
0.8590443730354309,
0.8299570679664612,
0.8304535746574402,
0.792481005191803,
0.8389045000076294,
0.8223327994346619,
0.8325990438461304,
0.8497303128242493,
0.8373562097549438,
0.7902158498764038,
0.7977531552314758,
0.8185223340988159,
0.8263689279556274,
0.8208171129226685,
0.8311464786529541,
0.8060122132301331,
0.80096834897995,
0.8222758769989014,
0.7981020212173462,
0.8175110816955566,
0.8226763606071472,
0.829795241355896,
0.818571925163269,
0.8375207781791687,
0.7949452996253967,
0.8387207984924316,
0.8176831007003784,
0.8170443773269653
] | [
0.8778144121170044,
0.825658917427063,
0.8362303972244263,
0.8137781620025635,
0.8299403190612793,
0.7449723482131958,
0.8353583812713623,
0.7807366847991943,
0.7891426682472229,
0.8098674416542053,
0.8075810670852661,
0.7875253558158875,
0.7746331691741943,
0.7857316136360168,
0.8021698594093323,
0.8151100873947144,
0.8102043271064758,
0.7636250257492065,
0.7550216317176819,
0.7666617631912231,
0.7585949897766113,
0.7759677171707153,
0.7568162679672241,
0.7820589542388916,
0.7521505355834961,
0.7735540866851807,
0.7814244031906128,
0.7982423305511475,
0.792331337928772,
0.7968089580535889
] | [
0.8658373355865479,
0.8271534442901611,
0.8241429924964905,
0.813906192779541,
0.8122097253799438,
0.7596397399902344,
0.8284851312637329,
0.7824950218200684,
0.7721457481384277,
0.8014809489250183,
0.7902741432189941,
0.7704799175262451,
0.7699246406555176,
0.782008171081543,
0.806511402130127,
0.787175178527832,
0.8016877174377441,
0.7729263305664062,
0.7587712407112122,
0.7830979228019714,
0.7298586964607239,
0.7986828088760376,
0.7631337642669678,
0.8028467893600464,
0.7477275729179382,
0.783722460269928,
0.7860482931137085,
0.7968630790710449,
0.7853149771690369,
0.7825071215629578
] | [
0.8547267913818359,
0.6916777491569519,
0.7359927296638489,
0.7077656388282776,
0.7173019051551819,
0.3314485549926758,
0.7675153017044067,
0.5326032638549805,
0.5063765048980713,
0.6043635010719299,
0.6173193454742432,
0.44631534814834595,
0.3747541308403015,
0.5333386063575745,
0.5232985019683838,
0.508635938167572,
0.4949931204319,
0.36415421962738037,
0.41847798228263855,
0.451198935508728,
0.43423399329185486,
0.46321630477905273,
0.37858846783638,
0.578127384185791,
0.45755088329315186,
0.4550532400608063,
0.44459110498428345,
0.5397124290466309,
0.5284191370010376,
0.43867647647857666
] | [
0.8116158843040466,
0.6133747100830078,
0.6346613168716431,
0.6037654280662537,
0.6132450103759766,
0.22165489196777344,
0.6730303168296814,
0.38096168637275696,
0.4056816101074219,
0.45755165815353394,
0.49264636635780334,
0.29785868525505066,
0.23669594526290894,
0.3805627226829529,
0.3797169327735901,
0.34198862314224243,
0.3247700035572052,
0.25140124559402466,
0.26428014039993286,
0.3130541741847992,
0.3028649091720581,
0.30719149112701416,
0.2504853904247284,
0.4381837546825409,
0.3055879473686218,
0.3026279807090759,
0.314094215631485,
0.4019923210144043,
0.3848409056663513,
0.32342612743377686
] | [
0.8667293787002563,
0.6970178484916687,
0.7399333715438843,
0.7215110063552856,
0.7218266725540161,
0.36095234751701355,
0.7682650089263916,
0.5478733777999878,
0.5405299663543701,
0.6275708675384521,
0.6241243481636047,
0.4711659252643585,
0.39852583408355713,
0.548195481300354,
0.5441980361938477,
0.5438024997711182,
0.5289745330810547,
0.3959398567676544,
0.4424407184123993,
0.4864983558654785,
0.46311306953430176,
0.493718683719635,
0.4091108441352844,
0.6130526661872864,
0.4715956747531891,
0.47825494408607483,
0.47641056776046753,
0.5775466561317444,
0.5520095229148865,
0.4873252213001251
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference | [
"Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network",
"Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge",
"Kernel Codebooks for Scene Categorization",
"DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference",
"Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge",
"From Eliza to XiaoIce: challenges and opportunities with social chatbots",
"Credibility and trust of information in online environments : The use of cognitive heuristics",
"Recurrent Topic-Transition GAN for Visual Paragraph Generation",
"A Statistical Analysis of the Relationship between Harmonic Surprise and Preference in Popular Music",
"On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey",
"Survey of Probabilistic Graphical Models",
"Based Emotion Recognition : A Survey",
"Zero-Shot Detection",
"A tutorial on convex optimization",
"Positive effects of entertainment technology on human behaviour",
"Prediction error in reinforcement learning: A meta-analysis of neuroimaging studies",
"Top Rank Supervised Binary Coding for Visual Search",
"The Relationship between Social Networking Site Use and the Internalization of a Thin Ideal in Females: A Meta-Analytic Review",
"Pricing in Agent Economies Using Multi-Agent Q-Learning",
"Teachers Learning with Digital Technologies : A review of research and projects REPORT 14 : FUTURELAB SERIES",
"Geospatial semantics and linked spatiotemporal data - Past, present, and future",
"A Survey on Trust Modeling from a Bayesian Perspective",
"Mineable or messy? Assessing the quality of macro-level tourism information derived from social media",
"Unsupervised Discovery of Discourse Relations for Eliminating Intra-sentence Polarity Ambiguities",
"Recurrent Convolutional Neural Networks for Discourse Compositionality",
"A comparison of methods to test mediation and other intervening variable effects.",
"Quality versus Quantity : An Investigation into Electronic Word of Mouth ’ s Influence on Consumer Buying Intention",
"Comparison of Architectural Design Decisions for Resource-Constrained Self-Driving Cars - A Multiple Case-Study",
"Discriminative acoustic model for improving mispronunciation detection and diagnosis in computer-aided pronunciation training (CAPT)",
"Whisper to normal speech conversion using pitch estimated from spectrum"
] | [
0.8197712898254395,
0.8629288673400879,
0.8311631083488464,
0.8688796162605286,
0.848534882068634,
0.8347079753875732,
0.8178955316543579,
0.8592909574508667,
0.8032894134521484,
0.8235989212989807,
0.8340460062026978,
0.8276457190513611,
0.8144508600234985,
0.8236989974975586,
0.7928406596183777,
0.8380026817321777,
0.8320419788360596,
0.8127462863922119,
0.8183060884475708,
0.7913272380828857,
0.8170811533927917,
0.8150420784950256,
0.8005883693695068,
0.8721405863761902,
0.8666346073150635,
0.8169337511062622,
0.8231767416000366,
0.8193589448928833,
0.8307307958602905,
0.8328053951263428
] | [
0.7731033563613892,
0.8065978288650513,
0.7990120649337769,
0.8337448835372925,
0.8197063207626343,
0.798042893409729,
0.7765514254570007,
0.8127879500389099,
0.7600522041320801,
0.8116574287414551,
0.7878136038780212,
0.815433144569397,
0.7793945670127869,
0.7806429862976074,
0.7437928915023804,
0.7809737324714661,
0.8024065494537354,
0.7562986016273499,
0.7781047821044922,
0.7785835266113281,
0.7760136127471924,
0.7938171625137329,
0.7602870464324951,
0.8405478000640869,
0.8221276998519897,
0.7600874900817871,
0.7730242609977722,
0.7803542613983154,
0.7881890535354614,
0.7900902032852173
] | [
0.7913802862167358,
0.827063798904419,
0.7766271233558655,
0.8431745767593384,
0.8258103132247925,
0.7967343926429749,
0.7816749811172485,
0.8165827989578247,
0.7568579316139221,
0.7749753594398499,
0.7878618836402893,
0.8003060817718506,
0.7596843838691711,
0.7810913324356079,
0.7491516470909119,
0.7815185785293579,
0.7720390558242798,
0.7498401999473572,
0.771182656288147,
0.7699564099311829,
0.771666407585144,
0.7841294407844543,
0.7398271560668945,
0.8284040689468384,
0.8168625235557556,
0.7536003589630127,
0.7716931104660034,
0.762831449508667,
0.7860853672027588,
0.7822197675704956
] | [
0.49191802740097046,
0.7227432727813721,
0.5631978511810303,
0.76105797290802,
0.691435694694519,
0.6023628115653992,
0.5137065649032593,
0.6529802680015564,
0.47849321365356445,
0.5692443251609802,
0.5977514982223511,
0.5357111692428589,
0.5008343458175659,
0.5002025365829468,
0.3878832161426544,
0.5206700563430786,
0.5720794796943665,
0.38147491216659546,
0.4518412947654724,
0.4441060423851013,
0.4985322952270508,
0.5420691967010498,
0.46444523334503174,
0.7547620534896851,
0.7328281402587891,
0.4992176592350006,
0.4165429174900055,
0.3929937481880188,
0.6128854751586914,
0.5221740007400513
] | [
0.3925379514694214,
0.623755931854248,
0.40923452377319336,
0.6819751262664795,
0.6036664843559265,
0.49128618836402893,
0.349431574344635,
0.5484814643859863,
0.3183792233467102,
0.42596185207366943,
0.45662248134613037,
0.382011353969574,
0.36496269702911377,
0.35710495710372925,
0.23060840368270874,
0.37116798758506775,
0.4467582106590271,
0.21175283193588257,
0.27981579303741455,
0.2772899270057678,
0.34317082166671753,
0.3926572799682617,
0.33412110805511475,
0.6594489812850952,
0.6529772281646729,
0.3411824107170105,
0.2527981400489807,
0.2643451392650604,
0.4826543927192688,
0.3258940875530243
] | [
0.5194877982139587,
0.7097878456115723,
0.5866988301277161,
0.7528029084205627,
0.6992284059524536,
0.6180859804153442,
0.5244541168212891,
0.651679277420044,
0.5187719464302063,
0.5849778652191162,
0.6161185503005981,
0.5493249893188477,
0.547218918800354,
0.5370262861251831,
0.41151365637779236,
0.5495932102203369,
0.5847694873809814,
0.40494081377983093,
0.4787941873073578,
0.45532408356666565,
0.5161027908325195,
0.5599929690361023,
0.47606679797172546,
0.7463291883468628,
0.7243978977203369,
0.5274853706359863,
0.4349489212036133,
0.41855061054229736,
0.6110620498657227,
0.5407893657684326
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Automatic Classification of Single Facial Images | [
"On Median Graphs: Properties, Algorithms, and Applications",
"Error Correcting Graph Matching: On the Influence of the Underlying Cost Function",
"Shape Evolution With Structural and Topological Changes Using Blending",
"Graph Matching With a Dual-Step EM Algorithm",
"Probabilistic Data Association Methods for Tracking Complex Visual Objects",
"Machine learning in automated text categorization",
"Data Mining - Concepts, Models and Techniques",
"An External Capacitorless Low-Dropout Regulator With High PSR at All Frequencies From 10 kHz to 1 GHz Using an Adaptive Supply-Ripple Cancellation Technique",
"Risk of bias in overviews of reviews: a scoping review of methodological guidance and four-item checklist.",
"False Positives, False Negatives, and False Analyses: a Rejoinder to \" Machine Bias: There's Software Used across the Country to Predict Future Criminals. and It's Biased against Blacks. \"",
"Aspect extraction in sentiment analysis: comparative analysis and survey",
"RADICALIZATION AS A REACTION TO FAILURE : AN ECONOMIC MODEL OF ISLAMIC EXTREMISM",
"Games solved: Now and in the future",
"Climate change , sea-level rise , and conservation : keeping island biodiversity afloat",
"Discovering Diverse and Salient Threads in Document Collections",
"Bidirectional Attention for SQL Generation",
"Transfer Learning via Inter-Task Mappings for Temporal Difference Learning",
"Intelligence and security informatics for homeland security: information, communication, and transportation",
"Pulmonary nodule classification with deep residual networks",
"Survey of Game Theory and Future Trends with Application to Emerging Wireless Data Communication Networks",
"Learning Classifiers from Synthetic Data Using a Multichannel Autoencoder",
"A review on consensus algorithm of blockchain",
"Effect of rule weights in fuzzy rule-based classification systems",
"Event Representations for Automated Story Generation with Deep Neural Nets",
"Insulin signalling and the regulation of glucose and lipid metabolism",
"Medical image registration.",
"Human Sleep and Sleep EEG",
"Definite Clause Grammars for Language Analysis - A Survey of the Formalism and a Comparison with Augmented Transition Networks",
"Topical Keyphrase Extraction from Twitter",
"The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices"
] | [
0.8059159517288208,
0.8156691789627075,
0.806248664855957,
0.8230915069580078,
0.8407799005508423,
0.8788793683052063,
0.8262357115745544,
0.777320384979248,
0.7731754183769226,
0.7886990308761597,
0.8249112963676453,
0.7621278762817383,
0.7910779714584351,
0.7511317729949951,
0.8008557558059692,
0.8250731229782104,
0.8156825304031372,
0.7817691564559937,
0.8254126906394958,
0.7680994272232056,
0.8554935455322266,
0.8014163970947266,
0.826606810092926,
0.8294583559036255,
0.7872093915939331,
0.8334141969680786,
0.7982062697410583,
0.7962153553962708,
0.8274404406547546,
0.8069683909416199
] | [
0.7809561491012573,
0.7706100940704346,
0.8018662929534912,
0.7950089573860168,
0.7921556234359741,
0.8625729084014893,
0.7989965081214905,
0.7340257167816162,
0.7675471305847168,
0.7846572399139404,
0.8005856275558472,
0.7426118850708008,
0.7693047523498535,
0.7644896507263184,
0.7904711365699768,
0.7938838005065918,
0.7796210050582886,
0.7732152342796326,
0.8067676424980164,
0.7589356899261475,
0.825631856918335,
0.7830651998519897,
0.7865270376205444,
0.8200814723968506,
0.7584485411643982,
0.8203847408294678,
0.7971755862236023,
0.7825607061386108,
0.7841188311576843,
0.7642257809638977
] | [
0.7744438648223877,
0.7600083947181702,
0.783779501914978,
0.7793929576873779,
0.7799547910690308,
0.8081450462341309,
0.794931173324585,
0.7399057745933533,
0.7547732591629028,
0.7692053318023682,
0.7708406448364258,
0.7443763017654419,
0.7536734938621521,
0.7388347387313843,
0.7660298347473145,
0.7721621990203857,
0.7482361793518066,
0.7419588565826416,
0.7866787910461426,
0.7330461740493774,
0.8183138370513916,
0.746540904045105,
0.7604693174362183,
0.7538155317306519,
0.7494918704032898,
0.8174055218696594,
0.7759246826171875,
0.7630411386489868,
0.7527217864990234,
0.7499048709869385
] | [
0.511667788028717,
0.5473337769508362,
0.5515631437301636,
0.58447265625,
0.595081627368927,
0.6245383024215698,
0.6165091395378113,
0.36123982071876526,
0.43738287687301636,
0.4912387728691101,
0.5732869505882263,
0.37697798013687134,
0.4449886083602905,
0.3402941823005676,
0.49784237146377563,
0.4879269599914551,
0.5552562475204468,
0.4731805920600891,
0.613609790802002,
0.4291938543319702,
0.6399473547935486,
0.40572071075439453,
0.5978731513023376,
0.47633063793182373,
0.3847949802875519,
0.6089146137237549,
0.46700239181518555,
0.5089941620826721,
0.4685371518135071,
0.46311402320861816
] | [
0.3639851212501526,
0.4148702025413513,
0.4246753454208374,
0.4647458791732788,
0.48471683263778687,
0.49836522340774536,
0.4881610870361328,
0.21874617040157318,
0.29602694511413574,
0.426523894071579,
0.4091554582118988,
0.23929452896118164,
0.31774812936782837,
0.18982090055942535,
0.34480804204940796,
0.3473038673400879,
0.404090017080307,
0.3275582194328308,
0.504464864730835,
0.2419845312833786,
0.5240159630775452,
0.24571062624454498,
0.4620714783668518,
0.3217087388038635,
0.2261151224374771,
0.469961553812027,
0.3141515254974365,
0.3509647250175476,
0.305273175239563,
0.30322593450546265
] | [
0.5575360059738159,
0.5737969875335693,
0.5782662034034729,
0.6072262525558472,
0.6121194362640381,
0.6497564315795898,
0.6370477080345154,
0.4042564630508423,
0.4604527950286865,
0.5376904010772705,
0.5943139791488647,
0.4185246229171753,
0.5008201003074646,
0.3839569389820099,
0.5385227203369141,
0.529382050037384,
0.572300136089325,
0.5069149136543274,
0.6240421533584595,
0.4551551938056946,
0.6512153148651123,
0.4396682381629944,
0.6191189885139465,
0.5031430721282959,
0.4120626449584961,
0.6392617225646973,
0.5054154396057129,
0.5382752418518066,
0.49325287342071533,
0.4915696084499359
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
Attention-Guided Answer Distillation for Machine Reading Comprehension | [
"Effective Character-augmented Word Embedding for Machine Reading Comprehension",
"MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension",
"Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering",
"Dynamic Fusion Networks for Machine Reading Comprehension",
"A3Net: Adversarial-and-Attention Network for Machine Reading Comprehension",
"Multi-Granularity Chinese Word Embedding",
"Semi-supervised Clustering by Seeding",
"Language Models for Image Captioning: The Quirks and What Works",
"Creating a Large Benchmark for Open Information Extraction",
"Parameter Study and Design of Wide-Band Widescan Dual-Polarized Tapered Slot Antenna Arrays",
"Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies",
"The Painful Shoulder: Shoulder Impingement Syndrome",
"A Tutorial on Hidden Markov Models and Selected Applications",
"Federated Machine Learning: Concept and Applications",
"Softmax Discriminant Classifier",
"ORIENTATIONS TO HAPPINESS AND LIFE SATISFACTION: THE FULL LIFE VERSUS THE EMPTY LIFE",
"WhirlingFuzzwork: a taint-analysis-based API in-memory fuzzing framework",
"Traffic Accident Analysis Using Machine Learning Paradigms",
"EAST: An Efficient and Accurate Scene Text Detector",
"Video coding with H.264/AVC: tools, performance, and complexity",
"Commentary: The Social Dilemma of Autonomous Vehicles",
"Natural Language Processing for EHR-Based Computational Phenotyping",
"Corporate Governance and Equity Prices July 2001",
"A tandem-lens epifluorescence macroscope: Hundred-fold brightness advantage for wide-field imaging",
"Affordance detection for task-specific grasping using deep learning",
"Graph databases: A survey",
"A Semantic Concordance",
"Acid Etching as Surface Treatment Method for Luting of Glass-Ceramic Restorations, part 1: Acids, Application Protocol and Etching Effectiveness",
"Tutorial for the WGCNA package for R : III . Using simulated data to evaluate different module detection methods and gene screening approaches 8 . Visualization of gene networks"
] | [
0.8962674140930176,
0.879022479057312,
0.8771049976348877,
0.9026811122894287,
0.9031782150268555,
0.8504263162612915,
0.8447256088256836,
0.8299148082733154,
0.850561261177063,
0.8042268753051758,
0.8312418460845947,
0.7952783107757568,
0.8408278226852417,
0.8379573822021484,
0.8313828706741333,
0.7970313429832458,
0.8460605144500732,
0.8304696679115295,
0.8490390181541443,
0.812055230140686,
0.8186566829681396,
0.8464623689651489,
0.7757713794708252,
0.8018864393234253,
0.8453589081764221,
0.8337035179138184,
0.8293381333351135,
0.8106259107589722,
0.8261118531227112
] | [
0.84527987241745,
0.8074545860290527,
0.8336901664733887,
0.8612269759178162,
0.8654457330703735,
0.8114917874336243,
0.7824530005455017,
0.8033229112625122,
0.8034100532531738,
0.7411823272705078,
0.7929267287254333,
0.7482447624206543,
0.7973891496658325,
0.7946101427078247,
0.7758973836898804,
0.7452364563941956,
0.7994322180747986,
0.7926396727561951,
0.7954286336898804,
0.7655611634254456,
0.7780060768127441,
0.8019247651100159,
0.7568641304969788,
0.76668781042099,
0.8038089275360107,
0.7856242656707764,
0.7835896015167236,
0.7547390460968018,
0.764352023601532
] | [
0.8594604730606079,
0.824792206287384,
0.8385164141654968,
0.8622617125511169,
0.857643723487854,
0.7824141979217529,
0.7560586333274841,
0.7794126272201538,
0.7981462478637695,
0.733128547668457,
0.7702168226242065,
0.7603253126144409,
0.7966891527175903,
0.7769913673400879,
0.7704149484634399,
0.7489570379257202,
0.7788228988647461,
0.7784242033958435,
0.7872229814529419,
0.7521221041679382,
0.7742917537689209,
0.8055801391601562,
0.7292091846466064,
0.7564660310745239,
0.7859394550323486,
0.7555716037750244,
0.7748029232025146,
0.7452338933944702,
0.7615655660629272
] | [
0.7907189130783081,
0.7496626973152161,
0.7545252442359924,
0.8158339262008667,
0.82291579246521,
0.6456552743911743,
0.537241518497467,
0.6661511659622192,
0.6610732674598694,
0.36737972497940063,
0.5002275705337524,
0.3449685871601105,
0.5505480766296387,
0.5075888633728027,
0.5268647074699402,
0.4031432569026947,
0.45353853702545166,
0.4447779655456543,
0.5965277552604675,
0.43618959188461304,
0.43028494715690613,
0.5679598450660706,
0.3254867196083069,
0.37061530351638794,
0.49318069219589233,
0.42113804817199707,
0.6233615875244141,
0.31928110122680664,
0.4001999497413635
] | [
0.7367003560066223,
0.6917243003845215,
0.6816208362579346,
0.7556771039962769,
0.7647560238838196,
0.5313974022865295,
0.38492369651794434,
0.561263382434845,
0.5433831214904785,
0.25605589151382446,
0.3746483623981476,
0.18796829879283905,
0.38715410232543945,
0.394095242023468,
0.3840106129646301,
0.24987712502479553,
0.3059823215007782,
0.32423216104507446,
0.5097023248672485,
0.29600775241851807,
0.2986786365509033,
0.43983012437820435,
0.1928403377532959,
0.2502537965774536,
0.3556993007659912,
0.24826082587242126,
0.49861618876457214,
0.1643775850534439,
0.2628132700920105
] | [
0.786751389503479,
0.7508548498153687,
0.742655336856842,
0.812782883644104,
0.8243229985237122,
0.641486406326294,
0.5547257661819458,
0.6704525947570801,
0.6632358431816101,
0.4016128480434418,
0.5239379405975342,
0.3850213587284088,
0.5635981559753418,
0.5256505012512207,
0.5440758466720581,
0.4275961220264435,
0.4821290969848633,
0.4640584886074066,
0.614886462688446,
0.46629029512405396,
0.4595828652381897,
0.5621534585952759,
0.3493509590625763,
0.40302738547325134,
0.5172184705734253,
0.44807422161102295,
0.6331944465637207,
0.34718194603919983,
0.42327263951301575
] | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |