NeurosciencebioRxivPreprint
TRUSTWORTHY SLEEP STAGING FROM EEG: DEEP ENSEMBLES, MCDROPOUT, AND PREDICTIVE CALIBRATION
This paper evaluates deep learning methods for sleep stage classification from EEG signals, finding that LSTM-based models provide more consistent trustworthiness and calibration than EEGNet.
DOI 10.1101/2025.08.23.671918