MSLTE: multiple self-supervised learning tasks for enhancing EEG emotion recognition

. The instability of the EEG acquisition devices may lead to information loss in the channels or frequency bands of the collected EEG. This phenomenon may be ignored in available models, which leads to the overfitting and low generalization of the model. . Multiple self-supervised learning tasks are...

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Vydané v:	Journal of neural engineering Ročník 21; číslo 2
Hlavní autori:	Li, Guangqiang, Chen, Ning, Niu, Yixiang, Xu, Zhangyong, Dong, Yuxuan, Jin, Jing, Zhu, Hongqin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England 01.04.2024
Predmet:	Datasets as Topic Electroencephalography Emotions Humans Supervised Machine Learning - standards multi-task learning EEG emotion recognition graph autoencoder weight sharing mask-based self-supervised learning
ISSN:	1741-2552, 1741-2552
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