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

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...

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Bibliographic Details
Main Authors: Barbora Bučková, Martin Brunovský, Martin Bareš, Jaroslav Hlinka
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-10-01
Series:Frontiers in Neuroscience
Subjects:
explainable artificial intelligence
EEG
sexual dimorsphism
classification
machine learning
major depressive disorder
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2020.589303/full

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https://www.frontiersin.org/articles/10.3389/fnins.2020.589303/full

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