Integrating Deep Metric Learning, Semi Supervised Learning, and Domain Adaptation for Cross-Dataset EEG-Based Emotion Recognition

The variability of EEG signals produced by different trial conditions and different devices presents significant challenges in developing practical EEG-based emotion recognition systems. Much of the research on developing a generalizable EEG emotion recognition approach focuses on cross-subject and...

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Autores principales:	Hawraa Razzaq Abed Alameer, Pedram Salehpour, Hadi S. Aghdasi, Mohammad-Reza Feizi-Derakhshi
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2025-01-01
Colección:	IEEE Access
Materias:	EEG-based emotion recognition deep metric learning cross-dataset learning domain generalization adversarial learning
Acceso en línea:	https://ieeexplore.ieee.org/document/10858132/
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