Matias Valdenegro-Toro

The challenge of out-of-distribution detection in motor imagery BCIs

Abstract Objective Machine Learning classifiers used in Brain-Computer Interfaces make classifications based on the distribution of examples on which they were trained. When exposed to EEG from unfamiliar classes they can only make blind guesses. Instead of allowing such guesses,...