Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network.
Kaishuo ZhangNeethu RobinsonSeong-Whan LeeCuntai GuanPublished in: Neural Networks (2021)
Keyphrases
- motor imagery
- transfer learning
- eeg signals
- convolutional neural network
- brain computer interface
- eeg data
- learning tasks
- knowledge transfer
- machine learning
- text classification
- reinforcement learning
- image classification
- domain adaptation
- cross domain
- classification accuracy
- pattern recognition
- active learning
- collaborative filtering
- object recognition
- neural network
- data sets
- labeled data
- face detection
- test data
- computer vision
- image processing
- brain activity
- learning environment
- target domain
- feature space
- feature vectors
- multi class
- machine learning algorithms
- semi supervised learning
- support vector machine
- signal processing
- supervised learning