One Model for All: Universal Pre-training for EEG based Emotion Recognition across Heterogeneous Datasets and Paradigms
cs.LG
Submitted: 2025-11-11
Updated: 2026-08-28
Comments: We discovered substantive errors in the experimental methodology and reported results. These issues affect the validity of the current version, so we withdraw the article and plan to submit a corrected replacement
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Time-Series Representation Learning via Temporal and Contextual Contrasting
- Representation Learning with Contrastive Predictive Coding
- Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG
- Decoupled Weight Decay Regularization
- SGDR: Stochastic Gradient Descent with Warm Restarts
- Semi-Supervised Classification with Graph Convolutional Networks
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