MGFKD: A semi-supervised multi-source domain adaptation algorithm for cross-subject EEG emotion recognition

MGFKD: A semi-supervised multi-source domain adaptation algorithm for cross-subject EEG emotion recognition

Currently, most models rarely consider the negative transfer problem in the research field of cross-subject EEG emotion recognition. To solve this problem, this paper proposes a semi-supervised domain adaptive algorithm based on few labeled samples of target subject, which called multi-domain geodes...

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Bibliographic Details
Main Authors:	Rui Zhang, Huifeng Guo, Zongxin Xu, Yuxia Hu, Mingming Chen, Lipeng Zhang
Format:	Article
Language:	English
Published:	Elsevier 2024-03-01
Series:	Brain Research Bulletin
Subjects:	Semi-supervised domain adaptation algorithm Emotion recognition Golden subjects Transfer learning Negative transfer
Online Access:	http://www.sciencedirect.com/science/article/pii/S0361923024000340

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