Data leakage in deep learning studies of translational EEG

A growing number of studies apply deep neural networks (DNNs) to recordings of human electroencephalography (EEG) to identify a range of disorders. In many studies, EEG recordings are split into segments, and each segment is randomly assigned to the training or test set. As a consequence, data from...

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Bibliografski detalji

Glavni autori:	Geoffrey Brookshire, Jake Kasper, Nicholas M. Blauch, Yunan Charles Wu, Ryan Glatt, David A. Merrill, Spencer Gerrol, Keith J. Yoder, Colin Quirk, Ché Lucero
Format:	Artigo
Jezik:	Inglês
Izdano:	Frontiers Media S.A. 2024-05-01
Serija:	Frontiers in Neuroscience
Teme:	electroencephalography deep neural networks data leakage cross-validation Alzheimer's disease epilepsy
Online pristup:	https://www.frontiersin.org/articles/10.3389/fnins.2024.1373515/full
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