Cognitive Neurosciences
Differences in Brain Activation during Physics Problem Solving across Students with Various Learning Progression: Electrophysiological Evidence based on Detrended Fluctuation analysis
A dynamic, economical, and robust coding scheme in the lateral prefrontal neurons of monkeys
Dynamic Characteristics of Micro-state Transition Defined by Instantaneous Frequency in the Electroencephalography of Schizophrenia Patients
Lagrange Programming Neural Networks for Sparse Portfolio Design
An Adaptive Convolution Auto-encoder based on Spiking Neurons
Schizophrenia detection based on EEG using Recurrent Auto-Encoder framework
Functional Roles of Amygdala and Orbitofrontal Cortex in Adaptive Behavior
A Multiclass EEG Signal Classification Model using Channel Interaction Maximization and Multivariate Empirical Mode Decomposition
MVNet: Memory Assistance and Vocal Reinforcement Network for Speech Enhancement
Learning Associative Reasoning Towards Systematicity using Modular Networks
Identifying dominant emotion in positive and negative groups of Navrasa using functional brain connectivity patterns
A Cerebellum-Inspired Model-Free Kinematic Control Method with RCM Constraint
Instrumental Conditioning with Neuromodulated Plasticity on SpiNNaker
A Phenomenological Deep Oscillatory Neural Network Model to Capture the Whole Brain Dynamics in terms of BOLD signal
Explainable Causal Analysis of Mental Health on Social Media Data
Brain-inspired attention model for object counting
Human Centered Computing
Emotion Detection from Viariable Conversation Context
Multi-relation Word Pair Tag Space for Joint Entity and Relation Extraction
Efficient Policy Generation in Multi-Agent Systems via Hypergraph Neural Network
Bring Ancient Murals Back to Life
Multi-Modal Rumor detection via Knowledge-aware Heterogeneous Graph Convolutional Networks
DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge Tracing
AMRE: An Attention-based CRNN for Manchu Word Recognition on a Woodblock-Printed Dataset
High-Accuracy and Energy-Efficient Action Recognition with Deep Spiking Neural Network
Sequence Recommendation Based on Interactive Graph Attention Network
Imbalanced Equilibrium: Emergence of Social Asymmetric Coordinated Behavior in Multi-Agent Games
Model-based Reinforcement Learning with Self-Attention Mechanism for Autonomous Driving in Dense Traffic
CLCDR: Contrastive Learning for Cross-Domain Recommendation to Cold-Start Users
Medical Visual Question Answering via Targeted Choice Contrast and Multimodal Entity Matching
Boosting Star-GANs for Voice Conversion with Contrastive Discriminator
Next POI Recommendation with Neighbor and Location Popularity
Trustworthiness and Confidence of Gait Phase Predictions in Changing Environments Using Interpretable Classifier Models
Enhance Gesture Recognition Via Visual-Audio Modal Embedding
Learning from Fourier: Leveraging Frequency Transformation for Emotion Recognition
Efficient Double Oracle for Extensive-Form Two-Player Zero-Sum Games
FastThaiCaps: A Transformer based Capsule Network for Hate Speech Detection in Thai Language.