MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification.
Phairot AutthasanRattanaphon ChaisaenThapanun SudhawiyangkulPhurin RangpongSuktipol KiatthaveephongNat DilokthanakulGun BhakdisongkhramHuy PhanCuntai GuanTheerawit WilaiprasitpornPublished in: IEEE Trans. Biomed. Eng. (2022)
Keyphrases
- motor imagery
- end to end
- multi task learning
- eeg signals
- brain computer interface
- eeg data
- multi task
- multiple tasks
- learning tasks
- healthy subjects
- inductive learning
- decision trees
- high order
- image classification
- gaussian processes
- blind source separation
- classification accuracy
- transfer learning
- regression model
- text categorization
- principal component analysis