ArticleFrontiers in neuroscience2025
Domain adaptive deep possibilistic clustering for EEG-based emotion recognition.
Article in Frontiers in neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Cross-subject generalization for EEG emotion recognition: a review of methods, challenges, and future trends.Frontiers in computational neuroscience · 2026Review
- Prototypical graph based deep label propagation with semantic augmentation for cross-subject and cross-session EEG emotion recognition.Frontiers in neuroscience · 2026Article
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Authors and funding
4 authors.
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Abstract
Emotion recognition based on electroencephalogram (EEG) faces substantial challenges. The variability of neural signals among different subjects and the scarcity of labeled data pose obstacles to the generalization ability of traditional domain adaptation (DA) methods. Existing approaches, especially those relying on the maximum mean discrepancy (MMD) technique, are often highly sensitive to domain mean shifts induced by noise. To overcome these limitations, a novel framework named
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