SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder

Andrea Pollastro, Francesco Isgrò, Roberto Prevete

Over the past few decades, electroencephalography (EEG) monitoring has become a pivotal tool for diagnosing neurological disorders, particularly for detecting seizures. Epilepsy, o…