Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders.
Ozan ÖzdenizciYe WangToshiaki Koike-AkinoDeniz ErdogmusPublished in: NER (2019)
Keyphrases
- transfer learning
- brain computer interface
- denoising
- learning tasks
- restricted boltzmann machine
- labeled data
- knowledge transfer
- signal processing
- motor imagery
- brain signals
- cross domain
- reinforcement learning
- machine learning
- collaborative filtering
- image segmentation
- eeg signals
- semi supervised learning
- eeg data
- spinal cord injury
- text classification
- active learning
- text categorization
- text mining
- evoked potentials
- transferring knowledge
- learning algorithm
- domain adaptation
- manifold alignment
- multi task
- motor learning
- data sets
- data analysis
- transfer knowledge
- feature selection
- training set
- knn
- semi supervised
- graphical models