Constructing a Personalized Cross-Day EEG-Based Emotion-Classification Model Using Transfer Learning

State-of-the-art electroencephalogram (EEG)-based emotion-classification works indicate that a personalized model may not be well exploited until sufficient labeled data are available, given a substantial EEG non-stationarity over days. However, it is impractical to impose a labor-intensive, time-co...

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Veröffentlicht in:IEEE journal of biomedical and health informatics 2020-05, Vol.24 (5), p.1255-1264
1. Verfasser: Lin, Yuan-Pin
Format: Artikel
Sprache:eng
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