2 papers
cs.LG2026
Graph-Regularized Deep Learning for EEG-Based Emotion Recognition with Psychologically-Grounded Label Structure
Dongyang Kuang, Zizheng Ma, Yushan Zhang +1
EEG-based emotion recognition is critical for mental health monitoring and affective brain-computer interfaces, yet existing deep learning approaches often treat emotion classes as…
cs.CV2025
Commuting Distance Regularization for Timescale-Dependent Label Inconsistency in EEG Emotion Recognition
Xiaocong Zeng, Craig Michoski, Yan Pang +1
In this work, we address the often-overlooked issue of Timescale Dependent Label Inconsistency (TsDLI) in training neural network models for EEG-based human emotion recognition. To…