Search Results for author:
Found 1 papers, 0 papers with code
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface
The proposed SSML learns a meta model with the existing subjects first, then fine-tunes the model in a semi-supervised learning manner, i. e. using few labeled and many unlabeled samples of target subject for calibration.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
