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with emphasis to the computer and internet .

National policies that connect ICT-based education reform to economic and social development

Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations

Correlative multi-label video annotation

multi - label music genre classification from audio , text and images using deep features .

Learning multi-label scene classification

Feature Extraction from Product Reviews using Feature Similarity and Polarity

Mining and summarizing customer reviews

SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining

Sentiment analysis and subjectivity

Extracting Product Features And Opinions From Reviews

Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction

on the suitability of near - infrared ( nir ) systems for next - generation brain - computer interfaces .

Flow-Guided Feature Aggregation for Video Object Detection

Deep Residual Learning for Image Recognition

Visual Tracking with Fully Convolutional Networks

Learning Multi-domain Convolutional Neural Networks for Visual Tracking

Fast R-CNN

Musicality-Novelty Generative Adversarial Nets for Algorithmic Composition

Imposing higher-level Structure in Polyphonic Music Generation using Convolutional Restricted Boltzmann Machines and Constraints

Generating Videos with Scene Dynamics

Generative Adversarial Nets

On the Theory of Dynamic Programming

system models in wireless sensor networks .

A macroscope in the redwoods

Toward Characteristic-Preserving Image-based Virtual Try-On Network

Rectifier Nonlinearities Improve Neural Network Acoustic Models

Convolutional Neural Network Architecture for Geometric Matching

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

probabilistic models for expert finding .

Formal models for expert finding in enterprise corpora

A study of smoothing methods for language models applied to Ad Hoc information retrieval

Overview of the TREC 2005 Enterprise Track

Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval

Direct Policy Transfer via Hidden Parameter Markov Decision Processes

Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning

Deep Reinforcement Learning with Double Q-learning

Reinforcement Learning: An Introduction

Simultaneous policy learning and latent state inference for imitating driver behavior

Sliced Recurrent Neural Networks

Glove: Global Vectors for Word Representation

A Convolutional Neural Network for Modelling Sentences

Adam: A Method for Stochastic Optimization

A Survey on Routing Protocols in Wireless Sensor Networks

A transmission control scheme for media access in sensor networks

Robust Eye Detection under Active Infrared Illumination

Automatic eyeglasses removal from face images

Knowledge Based Approach for Word Sense Disambiguation using Hindi Wordnet

An Experimental Study of Graph Connectivity for Unsupervised Word Sense Disambiguation

Evaluating WordNet-based Measures of Lexical Semantic Relatedness

Unsupervised word sense disam-biguation rivaling supervised methods

Human and machine learning

Building Machines That Learn and Think Like People

Chess-playing programs and the problem of complexity

Human-level control through deep reinforcement learning

Provenance from log files: a BigData problem

A Framework for Collecting Provenance in Data-Centric Scientific Workflows

PlanetLab: an overlay testbed for broad-coverage services

Provenance-Aware Storage Systems

A Survey of Data Provenance in e-Science

A Grounded Theory Approach to Information Technology Adoption

Building Theories from Case Study Research

putting the ' theory ' back into grounded theory : guidelines for grounded theory studies in information systems .

Enhancing Manufacturing Performance with Erp Systems

Diffusion of innovations (5. ed.)

Maximum inner-product search using cone trees

Random features for large-scale kernel machines

Similarity estimation techniques from rounding algorithms

Kernelized locality-sensitive hashing for scalable image search

The Netflix Prize

Does wireless sensor network scale? A measurement study on GreenOrbs

Avoiding Energy Holes in Wireless Sensor Networks with Nonuniform Node Distribution

Generating Natural Adversarial Examples

Adversarial Machine Learning at Scale

Universal Adversarial Perturbations

The Limitations of Deep Learning in Adversarial Settings

Learning a Neural Semantic Parser from User Feedback

Online Learning of Relaxed CCG Grammars for Parsing to Logical Form

Effective Approaches to Attention-based Neural Machine Translation

Data Recombination for Neural Semantic Parsing

Word Sense Induction Disambiguation Using Hierarchical Random Graphs

Unsupervised document classification using sequential information maximization

Chinese Whispers - An Efficient Graph Clustering Algorithm And Its Application To Natural Language Processing Problems

I2R: Three Systems for Word Sense Discrimination, Chinese Word Sense Disambiguation, and English Word Sense Disambiguation

The Anatomy of A Large-Scale Hyper Textualweb Search Engine

Random Walks for Text Semantic Similarity

wheeled mobile robots : a review .

dynamic model with slip for wheeled omnidirectional robots .

Potential Field Methods and Their Inherent Limitations for Mobile Robot Navigation

Scratch: A Way to Logo and Python

Lowering the barriers to programming: A taxonomy of programming environments and languages for novice programmers

Scratch: programming for all

probabilistic models for music .

Inducing Features of Random Fields

A cross-media public sentiment analysis system for microblog

Active query sensing for mobile location search

Movie Reviews and Revenues: An Experiment in Text Regression

Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search

Trading strategies to exploit blog and news sentiment

EEG-based biometric identification with deep learning