PRISM combines data-dependent channel weighting via expert ensemble and confidence-filtered pseudo-label domain adaptation to outperform prior methods on cross-subject EEG emotion tasks in DEAP, DREAMER, and SEED.
Cascaded self-supervised learning for subject-independent eeg-based emotion recognition,
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PRISM: Prioritized Channel Importance with Semi-supervised Domain Adaptation for Cross-Subject EEG Emotion Recognition
PRISM combines data-dependent channel weighting via expert ensemble and confidence-filtered pseudo-label domain adaptation to outperform prior methods on cross-subject EEG emotion tasks in DEAP, DREAMER, and SEED.