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...

Full description

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

Internet

http://www.sciencedirect.com/science/article/pii/S0361923024000340

Similar Items