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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
Knowledge Based Approach for Word Sense Disambiguation using Hindi Wordnet
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
Knowledge Based Approach for Word Sense Disambiguation using Hindi Wordnet
Unsupervised word sense disam-biguation rivaling supervised methods
Human and machine learning
Building Machines That Learn and Think Like People
Human and machine learning
Chess-playing programs and the problem of complexity
Human and machine learning
Human-level control through deep reinforcement learning
Provenance from log files: a BigData problem
A Framework for Collecting Provenance in Data-Centric Scientific Workflows
Provenance from log files: a BigData problem
PlanetLab: an overlay testbed for broad-coverage services
Provenance from log files: a BigData problem
Provenance-Aware Storage Systems
Provenance from log files: a BigData problem
A Survey of Data Provenance in e-Science
A Grounded Theory Approach to Information Technology Adoption
Building Theories from Case Study Research
A Grounded Theory Approach to Information Technology Adoption
putting the ' theory ' back into grounded theory : guidelines for grounded theory studies in information systems .
A Grounded Theory Approach to Information Technology Adoption
Enhancing Manufacturing Performance with Erp Systems
A Grounded Theory Approach to Information Technology Adoption
Diffusion of innovations (5. ed.)
Maximum inner-product search using cone trees
Random features for large-scale kernel machines
Maximum inner-product search using cone trees
Similarity estimation techniques from rounding algorithms
Maximum inner-product search using cone trees
Kernelized locality-sensitive hashing for scalable image search
Maximum inner-product search using cone trees
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
Deep Residual Learning for Image Recognition
Generating Natural Adversarial Examples
Adversarial Machine Learning at Scale
Generating Natural Adversarial Examples
Universal Adversarial Perturbations
Generating Natural Adversarial Examples
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
Learning a Neural Semantic Parser from User Feedback
Effective Approaches to Attention-based Neural Machine Translation
Learning a Neural Semantic Parser from User Feedback
Data Recombination for Neural Semantic Parsing
Word Sense Induction Disambiguation Using Hierarchical Random Graphs
Unsupervised document classification using sequential information maximization
Word Sense Induction Disambiguation Using Hierarchical Random Graphs
Chinese Whispers - An Efficient Graph Clustering Algorithm And Its Application To Natural Language Processing Problems
Word Sense Induction Disambiguation Using Hierarchical Random Graphs
I2R: Three Systems for Word Sense Discrimination, Chinese Word Sense Disambiguation, and English Word Sense Disambiguation
Word Sense Induction Disambiguation Using Hierarchical Random Graphs
The Anatomy of A Large-Scale Hyper Textualweb Search Engine
Word Sense Induction Disambiguation Using Hierarchical Random Graphs
Random Walks for Text Semantic Similarity
wheeled mobile robots : a review .
dynamic model with slip for wheeled omnidirectional robots .
wheeled mobile robots : a review .
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: A Way to Logo and Python
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
A cross-media public sentiment analysis system for microblog
Movie Reviews and Revenues: An Experiment in Text Regression
A cross-media public sentiment analysis system for microblog
Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search
A cross-media public sentiment analysis system for microblog
Trading strategies to exploit blog and news sentiment
EEG-based biometric identification with deep learning
The PREP pipeline: standardized preprocessing for large-scale EEG analysis
Steganalysis via a Convolutional Neural Network using Large Convolution Filters
Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
Steganalysis via a Convolutional Neural Network using Large Convolution Filters
Deep Learning in Neural Networks: An Overview
Steganalysis via a Convolutional Neural Network using Large Convolution Filters
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
Steganalysis via a Convolutional Neural Network using Large Convolution Filters
Spatially-sparse convolutional neural networks
dfesnippets: An Open-Source Library for Dataflow Acceleration on FPGAs
LegUp: high-level synthesis for FPGA-based processor/accelerator systems
dfesnippets: An Open-Source Library for Dataflow Acceleration on FPGAs
The Unified Accumulator Architecture: A Configurable, Portable, and Extensible Floating-Point Accumulator
dfesnippets: An Open-Source Library for Dataflow Acceleration on FPGAs
High Quality Uniform Random Number Generation Using LUT Optimised State-transition Matrices
dfesnippets: An Open-Source Library for Dataflow Acceleration on FPGAs
GPU Versus FPGA for High Productivity Computing
Structure preserving embedding
Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization
Structure preserving embedding
A Global Geometric Framework for Nonlinear Dimensionality Reduction
Resolving the Predicament of Android Custom Permissions
Permission Re-Delegation: Attacks and Defenses
Resolving the Predicament of Android Custom Permissions
Analyzing inter-application communication in Android
Resolving the Predicament of Android Custom Permissions
Small Changes, Big Changes: An Updated View on the Android Permission System
Resolving the Predicament of Android Custom Permissions
Upgrading Your Android, Elevating My Malware: Privilege Escalation through Mobile OS Updating
Text mining based on tax comments as big data analysis using SVM and feature selection
Identifying the semantic orientation of terms using S-HAL for sentiment analysis
Text mining based on tax comments as big data analysis using SVM and feature selection
Feature Selection for Classification: A Review
Text mining based on tax comments as big data analysis using SVM and feature selection
Data Mining: Concepts and Techniques
The antecedents of purchase and re-purchase intentions of online auction consumers
Factors influencing Internet shopping value and customer repurchase intention
The antecedents of purchase and re-purchase intentions of online auction consumers
Determinants of repurchase intention in online group-buying: The perspectives of DeLone & McLean IS success model and trust
Backplay:"Man muss immer umkehren"
On Monte Carlo Tree Search and Reinforcement Learning
Backplay:"Man muss immer umkehren"
Deep Reinforcement Learning for Dialogue Generation
Backplay:"Man muss immer umkehren"
A Survey of Monte Carlo Tree Search Methods
Backplay:"Man muss immer umkehren"
Coordinate to cooperate or compete: Abstract goals and joint intentions in social interaction.
Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention
One-Class Collaborative Filtering
Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention
Factorization Machines
Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention
Personalized video recommendation through tripartite graph propagation
Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention
Video suggestion and discovery for youtube: taking random walks through the view graph
Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks
Language Modeling with Gated Convolutional Networks
Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks
Unsupervised Cross-Domain Image Generation
Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks
Fully Convolutional Networks for Semantic Segmentation
Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks
Generative Adversarial Network-Based Postfilter for STFT Spectrograms
Sensing as a Service: secure wireless sensor network infrastructure sharing for the Internet of Things
SDN-WISE: Design, prototyping and experimentation of a stateful SDN solution for WIreless SEnsor networks
Sensing as a Service: secure wireless sensor network infrastructure sharing for the Internet of Things
Cross-Level Sensor Network Simulation with COOJA
Sensing as a Service: secure wireless sensor network infrastructure sharing for the Internet of Things
AoT: Authentication and Access Control for the Entire IoT Device Life-Cycle
Sensing as a Service: secure wireless sensor network infrastructure sharing for the Internet of Things
TinySec: a link layer security architecture for wireless sensor networks
Unsupervised incremental STDP learning using forced firing of dormant or idle neurons
Immunity to Device Variations in a Spiking Neural Network With Memristive Nanodevices
Unsupervised incremental STDP learning using forced firing of dormant or idle neurons
Unsupervised learning of digit recognition using spike-timing-dependent plasticity
Unsupervised incremental STDP learning using forced firing of dormant or idle neurons
Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing
Differential Power Attack on SM4 Block Cipher
Differential Power Analysis
Differential Power Attack on SM4 Block Cipher
Low-cost hardware implementation of SM4 based on composite field
Towards Cooperative Driving: Involving the Driver in an Autonomous Vehicle's Decision Making
Making Bertha Drive—An Autonomous Journey on a Historic Route
Towards Cooperative Driving: Involving the Driver in an Autonomous Vehicle's Decision Making
Autonomous driving: investigating the feasibility of car-driver handover assistance
Towards Cooperative Driving: Involving the Driver in an Autonomous Vehicle's Decision Making
Towards cooperative guidance and control of highly automated vehicles: H-Mode and Conduct-by-Wire
Acronym disambiguation using word embedding
The Unified Medical Language System (UMLS): Integrating Biomedical Terminology
Acronym disambiguation using word embedding
Distributed Representations of Words and Phrases and their Compositionality
Acronym disambiguation using word embedding
Entity Linking with Effective Acronym Expansion, Instance Selection, and Topic Modeling
Drug drug interaction extraction from biomedical literature using syntax convolutional neural network
Improving Word Representations via Global Context and Multiple Word Prototypes
Drug drug interaction extraction from biomedical literature using syntax convolutional neural network
RelEx---Relation extraction using dependency parse trees
Drug drug interaction extraction from biomedical literature using syntax convolutional neural network
WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting
Drug drug interaction extraction from biomedical literature using syntax convolutional neural network
An empirical study of tokenization strategies for biomedical information retrieval
Haptic emulation of games: haptic Sudoku for the blind
A Pencil-and-Paper Algorithm for Solving Sudoku Puzzles
Haptic emulation of games: haptic Sudoku for the blind
Accessible presentation of information for people with visual disabilities
A comparative study of semi-naive Bayes methods in classification learning
Not So Naive Bayes: Aggregating One-Dependence Estimators
A comparative study of semi-naive Bayes methods in classification learning
Learning augmented Bayesian classifiers: A comparison of distribution-based and classification-based approaches
A comparative study of semi-naive Bayes methods in classification learning
Bias plus variance decomposition for zero-one loss functions
Optimal speech enhancement under signal presence uncertainty using log-spectral amplitude estimator
Elimination of the musical noise phenomenon with the Ephraim and Malah noise suppressor
Optimal speech enhancement under signal presence uncertainty using log-spectral amplitude estimator
Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator
Scene text recognition and tracking to identify athletes in sport videos
Automatic License Plate Recognition: a Review