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Cognitive Debiasing via Disentangled Pre-training for Cross-Subject EEG Emotion Recognition

Chen, Qi et al.
eScholarship · Papers
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artificial-intelligenceelectroencephalography-eegemotionneural-networks
Capturing shared cognitive processes across individuals is crucial for cross-subject EEG emotion recognition. Existing studies overlook the subjective experiential component introduced by individual cognitive biases, causing redundant information to be entangled with the extracted emotion-related fe
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