CT-DCENet: Deep EEG Denoising via CNN-Transformer-Based Dual-Stage Collaborative Ensemble Learning.

Deep Wavelet Temporal-Frequency Attention for nonlinear fMRI factorization in ASD.

WEAL: Weight-wise Ensemble Adversarial Learning with Gradient Manipulation.

Fusion of generative adversarial networks and non-negative tensor decomposition for depression fMRI data analysis.

Individual EEG super-resolution via ADMM-based coupled matrix decomposition towards long-term brain monitoring.

Learning Interpretable Brain Functional Connectivity via Self-Supervised Triplet Network With Depth-Wise Attention.

A multi-task learning model with reinforcement optimization for ASD comorbidity discrimination.

V2IED: Dual-view learning framework for detecting events of interictal epileptiform discharges.

Scale-variant structural feature construction of EEG stream via component-increased Dynamic Tensor Decomposition.

Accurate apnea and hypopnea localization in PSG with Multi-scale object detection via Dual-modal Feature Learning.

Corrigendum to "Functional Connectivity Learning via Siamese-based SPD Matrix Representation of Brain Imaging Data" [Neural Networks 163 (2023) 272-285].

Enhanced Bayesian Factorization With Variant Scale Partitioning for Multivariate Time Series Analysis.

EEG Reconstruction With a Dual-Scale CNN-LSTM Model for Deep Artifact Removal.

Deep EEG Superresolution via Correlating Brain Structural and Functional Connectivities.

Functional connectivity learning via Siamese-based SPD matrix representation of brain imaging data.

Learning graph-based relationship of dual-modal features towards subject adaptive ASD assessment.

Adaptive density peaks clustering: Towards exploratory EEG analysis.

Adaptive feature selection with shapley and hypothetical testing: Case study of EEG feature engineering.

Dimensionality Reduction Methods for Brain Imaging Data Analysis.

Incremental Factorization of Big Time Series Data with Blind Factor Approximation.

A lightweight solution to epileptic seizure prediction based on EEG synchronization measurement.

Automated sleep spindle detection with mixed EEG features.

Bayesian tensor factorization for multi-way analysis of multi-dimensional EEG.

Towards Brain Big Data Classification: Epileptic EEG Identification With a Lightweight VGGNet on Global MIC.