Neural Information Processing

aBrain-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 anda Population-based Approach for Pre-Training Parameters with imbalanced Classes.