About
Contact & Profiles
A5102770099
Research Areas
- Text and Document Classification Technologies
- EEG and Brain-Computer Interfaces
- Blind Source Separation Techniques
- Gaze Tracking and Assistive Technology
- Recommender Systems and Techniques
Nanjing Tech University
2019-2024
Collecting sufficient labeled electroencephalography (EEG) data to build an individual classifier for each subject is extremely time-consuming and labor-intensive, especially the disabled patients. A feasible way use EEG from other subjects (source domains) train a model classifying new (target domains). However, trained using may degrade classification performance of target subject, when there exists substantial inter-subject variability data. In this paper, account domain shift between...
10.1109/access.2019.2939288
article
EN
cc-by
IEEE Access
2019-01-01
10.1109/cbd65573.2024.00065
article
EN
2024-11-28
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