Predicting Sex From EEG: Validity and Generalizability of Deep-Learning-Based Interpretable Classifier

Explainable artificial intelligence holds a great promise for neuroscience and plays an important role in the hypothesis generation process. We follow-up a recent machine learning-oriented study that constructed a deep convolutional neural network to automatically identify biological sex from EEG re...

Descripció completa

Dades bibliogràfiques

Autors principals:	Barbora Bučková, Martin Brunovský, Martin Bareš, Jaroslav Hlinka
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2020-10-01
Col·lecció:	Frontiers in Neuroscience
Matèries:	explainable artificial intelligence EEG sexual dimorsphism classification machine learning major depressive disorder
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fnins.2020.589303/full
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!