Toward the application of XAI methods in EEG-based systems

arXiv:2210.06554v3 Announce Type: replace
Abstract: An interesting case of the well-known Dataset Shift Problem is the classification of Electroencephalogram (EEG) signals in the context of Brain-Computer Interface (BCI). The non-stationarity of EEG signals can lead to poor generalisation performance in BCI classification systems used in different sessions, also from the same subject. In this paper, we start from the hypothesis that the Dataset Shift problem can be alleviated by exploiting suitable eXplainable Artificial Intelligence (XAI) methods to locate and transform …

abstract application arxiv bci brain brain-computer interface case classification computer context cs.ai cs.lg dataset eeg eess.sp performance shift systems type xai