Calibration-Free Transfer Learning for EEG-Based Cross-Subject Motor Imagery Classification.
Yihan WangJiaxing WangWeiqun WangJianqiang SuZeng-Guang HouPublished in: CASE (2023)
Keyphrases
- motor imagery
- transfer learning
- eeg signals
- brain computer interface
- eeg data
- learning tasks
- knowledge transfer
- labeled data
- machine learning
- reinforcement learning
- cross domain learning
- cross domain
- transfer knowledge
- text classification
- blind source separation
- semi supervised learning
- multi task
- domain adaptation
- machine learning algorithms
- signal processing
- active learning
- support vector
- feature selection
- independent component analysis
- unlabeled data
- text mining
- semi supervised
- feature vectors
- data analysis
- brain activity
- healthy subjects
- training data
- image processing