Domain-guided self-supervision of eeg data improves downstream classification performance and generalizability
This paper presents a domain-guided approach for learning representations of scalp-
electroencephalograms (EEGs) without relying on expert annotations. Expert labeling of …
electroencephalograms (EEGs) without relying on expert annotations. Expert labeling of …
Evaluating latent space robustness and uncertainty of EEG-ML models under realistic distribution shifts
The recent availability of large datasets in bio-medicine has inspired the development of
representation learning methods for multiple healthcare applications. Despite advances in …
representation learning methods for multiple healthcare applications. Despite advances in …