Semi-supervised multi-source transfer learning for cross-subject EEG motor imagery classification.
Fan ZhangHanliang WuYuxin GuoPublished in: Medical Biol. Eng. Comput. (2024)
Keyphrases
- motor imagery
- transfer learning
- multi source
- semi supervised
- labeled data
- eeg signals
- semi supervised learning
- brain computer interface
- label information
- unlabeled data
- eeg data
- text classification
- active learning
- machine learning
- supervised learning
- information fusion
- cross domain learning
- labeled and unlabeled data
- data fusion
- text mining
- healthy subjects
- reinforcement learning
- multiple sources
- data integration
- collaborative filtering
- pairwise
- unsupervised learning
- target domain
- feature space
- cross domain
- training data
- pattern recognition
- dimensionality reduction
- class labels
- machine learning algorithms
- knowledge discovery
- rough sets
- feature selection
- data sources
- data sets