Linked e-resources
Details
Table of Contents
Theory and Algorithms
LSMVC: Low-rank Semi-supervised Multi-view Clustering for Special Equipment Safety Warning
Single-Skeleton and Dual-Skeleton Hypergraph Convolution Neural Networks for Skeleton-Based Action Recognition
Multi-Reservoir Echo State Network with Multiple-Size Input Time Slices for Nonlinear Time-Series Prediction
Transformer with Prior Language Knowledge for Image Captioning
Continual Learning with Laplace Operator based Node-Importance Dynamic Architecture Neural Network
Improving generalization of reinforcement learning for multi-agent combating games
Gradient Boosting Forest: A Two-Stage Ensemble Method Enabling Federated Learning of GBDTs
Random Neural Graph Generation with Structure Evolution
MatchMaker: Aspect-Based Sentiment Classification via Mutual Information
PathSAGE: Spatial Graph Attention Neural Networks With Random Path Sampling
Label Preserved Heterogeneous Network Embedding
^Spatio-Temporal Dynamic Multi-Graph Attention Network for Ride-hailing Demand Prediction
An Implicit Learning Approach for Solving the Nurse Scheduling Problem
Improving Goal-Oriented Visual Dialogue by Asking Fewer Questions
Balance Between Performance and Robustness of Recurrent Neural Networks brought by Brain-inspired Constraints on Initial Structure
Single-Image Smoker Detection by Human-Object Interaction with Post-Refinement
A Lightweight Multi-scale Feature Fusion Network For Real-time Semantic Segmentation
Multi-view Fractional Deep Canonical Correlation Analysis for Subspace Clustering
Handling the Deviation from Isometry between Domains and Languages in Word Embeddings: Applications to Biomedical Text Translation
Inference in Neural Networks Using Conditional Mean-Field Methods
Associative Graphs for Fine-Grained Text Sentiment Analysis
k-Winners-Take-All Ensemble Neural Network
^Performance Improvement of FORCE Learning for Chaotic Echo State Networks
Generative Adversarial Domain Generalization via Cross-Task Feature Attention Learning for Prostate Segmentation
Context-based Deep Learning Architecture with Optimal Integration Layer for Image Parsing
Kernelized Transfer Feature Learning on Manifolds
Data-Free Knowledge Distillation with Positive-Unlabeled Learning
Manifold Discriminative Transfer Learning for Unsupervised Domain Adaptation
Training-Free Multi-Objective Evolutionary Neural Architecture Search via Neural Tangent Kernel and Number of Linear Regions
Neural Network Pruning via Genetic Wavelet Channel Search
Binary Label-aware Transfer Learning for Cross-domain Slot Filling
Condition-Invariant Physical Adversarial Attacks via Pixel-wise Adversarial Learning
Multiple Partitions Alignment with Adaptive Similarity Learning
Recommending best course of treatment based on similarities of prognostic markers
^Generative Adversarial Negative Imitation Learning from Noisy Demonstrations
Detecting Helmets on Motorcyclists by Deep Neural Networks with a Dual-Detection Scheme
Short-Long Correlation Based Graph Neural Networks for Residential Load Forecasting
Disentangled Feature Network for Fine-Grained Recognition
Large-Scale Topological Radar Localization Using Learned Descriptors
Rethinking binary hyperparameters for deep transfer learning
Human Centred Computing
Hierarchical Features Integration and Attention Iteration Network for Juvenile Refractive Power Prediction
Stress Recognition in Thermal Videos using Bi-Directional Long-Term Recurrent Convolutional Neural Networks
StressNet: A Deep Neural Network based on Dynamic Dropout Layers for Stress Recognition
Analyzing Vietnamese Legal Questions using Deep Neural Networks with Biaffine Classifiers
BenAV: A Bengali Audio-Visual Corpus for Visual Speech Recognition
^Investigation of Different G2P Schemes for Speech Recognition in Sanskrit
GRU with Level-Aware Attention for Rumor Early Detection in Social Networks
Convolutional Feature-interacted Factorization Machines for Sparse Contextual Prediction
A Lightweight Multidimensional Self-Attention Network for Fine-grained Action Recognition
Unsupervised Domain Adaptation with Self-selected Active Learning for Cross-domain OCT Image Segmentation
Adaptive Graph Convolutional Network with Prior Knowledge for Action Recognition
Self-Adaptive Graph Neural Networks for Personalized Sequential Recommendation
Spitial-Temporal Attention Network with Multi-Similarity Loss for Fine-Grained Skeleton-Based Action Recognition
SRGAT: Social Relational Graph Attention Network for Human Trajectory Prediction
FSE: A powerful feature augmentation technique for classification task
AI and Cybersecurity
FHTC: Few-shot Hierarchical Text Classification in Financial Domain
^JStrack: Enriching Malicious JavaScript Detection Based on AST Graph Analysis and Attention Mechanism.
LSMVC: Low-rank Semi-supervised Multi-view Clustering for Special Equipment Safety Warning
Single-Skeleton and Dual-Skeleton Hypergraph Convolution Neural Networks for Skeleton-Based Action Recognition
Multi-Reservoir Echo State Network with Multiple-Size Input Time Slices for Nonlinear Time-Series Prediction
Transformer with Prior Language Knowledge for Image Captioning
Continual Learning with Laplace Operator based Node-Importance Dynamic Architecture Neural Network
Improving generalization of reinforcement learning for multi-agent combating games
Gradient Boosting Forest: A Two-Stage Ensemble Method Enabling Federated Learning of GBDTs
Random Neural Graph Generation with Structure Evolution
MatchMaker: Aspect-Based Sentiment Classification via Mutual Information
PathSAGE: Spatial Graph Attention Neural Networks With Random Path Sampling
Label Preserved Heterogeneous Network Embedding
^Spatio-Temporal Dynamic Multi-Graph Attention Network for Ride-hailing Demand Prediction
An Implicit Learning Approach for Solving the Nurse Scheduling Problem
Improving Goal-Oriented Visual Dialogue by Asking Fewer Questions
Balance Between Performance and Robustness of Recurrent Neural Networks brought by Brain-inspired Constraints on Initial Structure
Single-Image Smoker Detection by Human-Object Interaction with Post-Refinement
A Lightweight Multi-scale Feature Fusion Network For Real-time Semantic Segmentation
Multi-view Fractional Deep Canonical Correlation Analysis for Subspace Clustering
Handling the Deviation from Isometry between Domains and Languages in Word Embeddings: Applications to Biomedical Text Translation
Inference in Neural Networks Using Conditional Mean-Field Methods
Associative Graphs for Fine-Grained Text Sentiment Analysis
k-Winners-Take-All Ensemble Neural Network
^Performance Improvement of FORCE Learning for Chaotic Echo State Networks
Generative Adversarial Domain Generalization via Cross-Task Feature Attention Learning for Prostate Segmentation
Context-based Deep Learning Architecture with Optimal Integration Layer for Image Parsing
Kernelized Transfer Feature Learning on Manifolds
Data-Free Knowledge Distillation with Positive-Unlabeled Learning
Manifold Discriminative Transfer Learning for Unsupervised Domain Adaptation
Training-Free Multi-Objective Evolutionary Neural Architecture Search via Neural Tangent Kernel and Number of Linear Regions
Neural Network Pruning via Genetic Wavelet Channel Search
Binary Label-aware Transfer Learning for Cross-domain Slot Filling
Condition-Invariant Physical Adversarial Attacks via Pixel-wise Adversarial Learning
Multiple Partitions Alignment with Adaptive Similarity Learning
Recommending best course of treatment based on similarities of prognostic markers
^Generative Adversarial Negative Imitation Learning from Noisy Demonstrations
Detecting Helmets on Motorcyclists by Deep Neural Networks with a Dual-Detection Scheme
Short-Long Correlation Based Graph Neural Networks for Residential Load Forecasting
Disentangled Feature Network for Fine-Grained Recognition
Large-Scale Topological Radar Localization Using Learned Descriptors
Rethinking binary hyperparameters for deep transfer learning
Human Centred Computing
Hierarchical Features Integration and Attention Iteration Network for Juvenile Refractive Power Prediction
Stress Recognition in Thermal Videos using Bi-Directional Long-Term Recurrent Convolutional Neural Networks
StressNet: A Deep Neural Network based on Dynamic Dropout Layers for Stress Recognition
Analyzing Vietnamese Legal Questions using Deep Neural Networks with Biaffine Classifiers
BenAV: A Bengali Audio-Visual Corpus for Visual Speech Recognition
^Investigation of Different G2P Schemes for Speech Recognition in Sanskrit
GRU with Level-Aware Attention for Rumor Early Detection in Social Networks
Convolutional Feature-interacted Factorization Machines for Sparse Contextual Prediction
A Lightweight Multidimensional Self-Attention Network for Fine-grained Action Recognition
Unsupervised Domain Adaptation with Self-selected Active Learning for Cross-domain OCT Image Segmentation
Adaptive Graph Convolutional Network with Prior Knowledge for Action Recognition
Self-Adaptive Graph Neural Networks for Personalized Sequential Recommendation
Spitial-Temporal Attention Network with Multi-Similarity Loss for Fine-Grained Skeleton-Based Action Recognition
SRGAT: Social Relational Graph Attention Network for Human Trajectory Prediction
FSE: A powerful feature augmentation technique for classification task
AI and Cybersecurity
FHTC: Few-shot Hierarchical Text Classification in Financial Domain
^JStrack: Enriching Malicious JavaScript Detection Based on AST Graph Analysis and Attention Mechanism.