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Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition

MGCRL is a novel SSL framework specifically designed for EEG-based emotion recognition that integrates generative and contrastive learning to achieve both fine-grained and global discriminative representations for cross-dataset generalization.

Huqin Weng, Jiayang Huang, Yimin Wen et al. · 0 citations

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