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Variational Autoencoder Learns Better Feature Representations for EEG-based Obesity Classification
In this study, we propose a deep learning-based framework to extract the resting state EEG features for obese and lean subject classification.
Finding neural signatures for obesity through feature selection on source-localized EEG
Obesity is a serious issue in the modern society and is often associated to significantly reduced quality of life.
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