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Cognitive Neurosciences
A Novel Binary BCI Systems Based on Non-oddball Auditory and Visual Paradigms
A Just-In-Time Compilation Approach for Neural Dynamics Simulation
STCN-GR: Spatial-Temporal Convolutional Networks for Surface-Electromyography-Based Gesture Recognition
Gradient descent learning algorithm based on spike selection mechanism for multilayer spiking neural networks
Learning to Coordinate via Multiple Graph Neural Networks
A Reinforcement Learning Approach for Abductive Natural Language Generation
DFFCN: Dual Flow Fusion Convolutional Network for Micro Expression Recognition
AUPro: Multi-label Facial Action Unit Proposal Generation for Sequence-level Analysis
Deep kernelized network for fine-grained recognition
Semantic Perception Swarm Policy with Deep Reinforcement Learning
Reliable, Robust, and Secure Machine Learning Algorithms Open-Set Recognition with Dual Probability Learning
How Much Do Synthetic Datasets Matter In Handwritten Text Recognition
PCMO: Partial Classification from CNN-Based Model Outputs
Multi-branch Fusion Fully Convolutional Network for Person Re-Identification
Fast Organization of Objects Spatial Positions in Manipulator Space from Single RGB-D Camera
EvoBA: An Evolution Strategy as a Strong Baseline for Black-Box Adversarial Attacks
A Novel Oversampling Technique for Imbalanced Learning Based on SMOTE and Genetic Algorithm
Dy-Drl2Op: Learning Heuristics for TSP on the Dynamic Graph via Deep Reinforcement Learning
Multi-label classification of hyperspectral images based on label-specific feature fusion
A Novel Multi-Scale Key-Point Detector Using Residual Dense Block and Coordinate Attention
Alleviating Catastrophic Interference in Online Learning via Varying Scale of Backward Queried Data
Construction and Reasoning for Interval-Valued EBRB Systems
Theory and Applications of Natural Computing Paradigms
Brain-mimetic Kernel: A Kernel Constructed from Human fMRI Signals Enabling a Brain-mimetic Visual Recognition Algorithm
Predominant Sense Acquisition with a Neural Random Walk Model
Processing-response dependence on the on-chip readout positions in spin-wave reservoir computing
Advances in deep and shallow machine learning algorithms for biomedical data and imaging
A Multi-Task Learning Scheme for Motor Imagery Signal Classification
An End-to-End Hemisphere Discrepancy Network for Subject-Independent Motor Imagery Classification
Multi-domain Abdomen Image Alignment Based on Joint Network of Registration and Synthesis
Coordinate Attention Residual Deformable U-Net for Vessel Segmentation
Gated Channel Attention Network for Cataract Classification on AS-OCT Image
Overcoming Data Scarcity for Coronary Vessel Segmentation Through Self-Supervised Pre-Training
Self-Attention Long-Term Dependency Modelling in Electroencephalography Sleep Stage Prediction
ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos
Enhancing Dermoscopic Features Classification in Images Using Invariant Dataset Augmentation and Convolutional Neural Networks
Ensembles of Randomized Neural Networks for Pattern-based Time Series Forecasting
Grouped Echo State Network with Late Fusion for Speech Emotion Recognition
Applications
MPANet: Multi-level Progressive Aggregation Network for Crowd Counting
AFLLC: A Novel Active Contour Model based on Adaptive Fractional Order Differentiation and Local Linearly Constrained Bias Field
DA-GCN: A Dependency-Aware Graph Convolutional Network for Emotion Recognition in Conversations
Semi-Supervised Learning with Conditional GANs for Blind Generated Image Quality Assessment
Uncertainty-Aware Domain Adaptation for Action Recognition
Free-Form Image Inpainting with Separable Gate Encoder-decoder Network
BERTDAN: Question-Answer Dual Attention Fusion Networks With Pre-trained Models for Answer Selection
Rethinking the Effectiveness of Selective Attention in Neural Networks
An Attention Method to Introduce Prior Knowledge in Dialogue State Tracking
Effect of Input Noise Dimension in GANs
Wiper Arm Recognition using YOLOv4
Context Aware Joint Modeling of Domain Classification, Intent Detection and Slot Filling with Zero-shot Intent Detection Approach
Constrained Generative Model for EEG Signals Generation
Top-Rank Learning Robust to Outliers
Novel GAN Inversion Model with Latent Space Constraints for Face Reconstruction
Edge Guided Attention Based Densely Connected Network for Single Image Super-Resolution
An Agent-Based Market Simulator for Back-testing Deep Reinforcement Learning Based Trade Execution Strategies
Looking beyond the haze: A Pyramid Fusion Approach
DGCN-rs: a Dilated Graph Convolutional Networks Jointly Modelling Relation and Semantic for Multi-Event Forecasting
Training Graph Convolutional Neural Network against Label Noise
An LSTM-based Plagiarism Detection via Attention Mechanism and a Population-based Approach for Pre-Training Parameters with imbalanced Classes.
A Novel Binary BCI Systems Based on Non-oddball Auditory and Visual Paradigms
A Just-In-Time Compilation Approach for Neural Dynamics Simulation
STCN-GR: Spatial-Temporal Convolutional Networks for Surface-Electromyography-Based Gesture Recognition
Gradient descent learning algorithm based on spike selection mechanism for multilayer spiking neural networks
Learning to Coordinate via Multiple Graph Neural Networks
A Reinforcement Learning Approach for Abductive Natural Language Generation
DFFCN: Dual Flow Fusion Convolutional Network for Micro Expression Recognition
AUPro: Multi-label Facial Action Unit Proposal Generation for Sequence-level Analysis
Deep kernelized network for fine-grained recognition
Semantic Perception Swarm Policy with Deep Reinforcement Learning
Reliable, Robust, and Secure Machine Learning Algorithms Open-Set Recognition with Dual Probability Learning
How Much Do Synthetic Datasets Matter In Handwritten Text Recognition
PCMO: Partial Classification from CNN-Based Model Outputs
Multi-branch Fusion Fully Convolutional Network for Person Re-Identification
Fast Organization of Objects Spatial Positions in Manipulator Space from Single RGB-D Camera
EvoBA: An Evolution Strategy as a Strong Baseline for Black-Box Adversarial Attacks
A Novel Oversampling Technique for Imbalanced Learning Based on SMOTE and Genetic Algorithm
Dy-Drl2Op: Learning Heuristics for TSP on the Dynamic Graph via Deep Reinforcement Learning
Multi-label classification of hyperspectral images based on label-specific feature fusion
A Novel Multi-Scale Key-Point Detector Using Residual Dense Block and Coordinate Attention
Alleviating Catastrophic Interference in Online Learning via Varying Scale of Backward Queried Data
Construction and Reasoning for Interval-Valued EBRB Systems
Theory and Applications of Natural Computing Paradigms
Brain-mimetic Kernel: A Kernel Constructed from Human fMRI Signals Enabling a Brain-mimetic Visual Recognition Algorithm
Predominant Sense Acquisition with a Neural Random Walk Model
Processing-response dependence on the on-chip readout positions in spin-wave reservoir computing
Advances in deep and shallow machine learning algorithms for biomedical data and imaging
A Multi-Task Learning Scheme for Motor Imagery Signal Classification
An End-to-End Hemisphere Discrepancy Network for Subject-Independent Motor Imagery Classification
Multi-domain Abdomen Image Alignment Based on Joint Network of Registration and Synthesis
Coordinate Attention Residual Deformable U-Net for Vessel Segmentation
Gated Channel Attention Network for Cataract Classification on AS-OCT Image
Overcoming Data Scarcity for Coronary Vessel Segmentation Through Self-Supervised Pre-Training
Self-Attention Long-Term Dependency Modelling in Electroencephalography Sleep Stage Prediction
ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos
Enhancing Dermoscopic Features Classification in Images Using Invariant Dataset Augmentation and Convolutional Neural Networks
Ensembles of Randomized Neural Networks for Pattern-based Time Series Forecasting
Grouped Echo State Network with Late Fusion for Speech Emotion Recognition
Applications
MPANet: Multi-level Progressive Aggregation Network for Crowd Counting
AFLLC: A Novel Active Contour Model based on Adaptive Fractional Order Differentiation and Local Linearly Constrained Bias Field
DA-GCN: A Dependency-Aware Graph Convolutional Network for Emotion Recognition in Conversations
Semi-Supervised Learning with Conditional GANs for Blind Generated Image Quality Assessment
Uncertainty-Aware Domain Adaptation for Action Recognition
Free-Form Image Inpainting with Separable Gate Encoder-decoder Network
BERTDAN: Question-Answer Dual Attention Fusion Networks With Pre-trained Models for Answer Selection
Rethinking the Effectiveness of Selective Attention in Neural Networks
An Attention Method to Introduce Prior Knowledge in Dialogue State Tracking
Effect of Input Noise Dimension in GANs
Wiper Arm Recognition using YOLOv4
Context Aware Joint Modeling of Domain Classification, Intent Detection and Slot Filling with Zero-shot Intent Detection Approach
Constrained Generative Model for EEG Signals Generation
Top-Rank Learning Robust to Outliers
Novel GAN Inversion Model with Latent Space Constraints for Face Reconstruction
Edge Guided Attention Based Densely Connected Network for Single Image Super-Resolution
An Agent-Based Market Simulator for Back-testing Deep Reinforcement Learning Based Trade Execution Strategies
Looking beyond the haze: A Pyramid Fusion Approach
DGCN-rs: a Dilated Graph Convolutional Networks Jointly Modelling Relation and Semantic for Multi-Event Forecasting
Training Graph Convolutional Neural Network against Label Noise
An LSTM-based Plagiarism Detection via Attention Mechanism and a Population-based Approach for Pre-Training Parameters with imbalanced Classes.