Uncertainty-Aware Bayesian Deep Learning with Noisy Training Labels for Epileptic Seizure Detection
DM Shama, A Venkataraman - … on Uncertainty for Safe Utilization of …, 2024 - Springer
Supervised learning has become the dominant paradigm in computer-aided diagnosis.
Generally, these methods assume that the training labels represent “ground truth” …
Generally, these methods assume that the training labels represent “ground truth” …
Dynamic Electroencephalography Representation Learning for Improved Epileptic Seizure Detection
Z Liu, H Wang - openreview.net
Epileptic seizure is an abnormal brain activity that affects millions of people worldwide.
Effectively detecting seizures from electroencephalography (EEG) signals with automated …
Effectively detecting seizures from electroencephalography (EEG) signals with automated …