BiLSTM and SqueezeNet With Transfer Learning for EEG Motor Imagery Classification: Validation With Own Dataset.
Alicia Guadalupe Lazcano HerreraRita Quetziquel Fuentes-AguilarAdrian Ramirez-MoralesMariel Alfaro-PoncePublished in: IEEE Access (2023)
Keyphrases
- motor imagery
- transfer learning
- eeg signals
- brain computer interface
- eeg data
- knowledge transfer
- cross domain
- labeled data
- machine learning
- text classification
- learning tasks
- cross domain learning
- blind source separation
- text mining
- active learning
- unlabeled data
- transfer knowledge
- data sets
- spinal cord injury
- text categorization
- semi supervised learning
- signal processing
- data analysis
- class labels
- multi task
- machine learning algorithms
- collaborative filtering
- supervised learning
- pattern recognition
- feature selection
- learning algorithm