1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Variational Autoencoder Learns Better Feature Representations for EEG-based Obesity Classification
Yuan Yue, Jeremiah D. Deng, Dirk De Ridder +2
Obesity is a common issue in modern societies today that can lead to various diseases and significantly reduced quality of life. Currently, research has been conducted to investiga…
cs.LG2022
Finding neural signatures for obesity through feature selection on source-localized EEG
Yuan Yue, Dirk De Ridder, Patrick Manning +2
Obesity is a serious issue in the modern society and is often associated to significantly reduced quality of life. Current research conducted to explore obesity-related neurologica…
eess.SP2020
Resting-state EEG sex classification using selected brain connectivity representation
Jean Li, Jeremiah D. Deng, Divya Adhia +1
Effective analysis of EEG signals for potential clinical applications remains a challenging task. So far, the analysis and conditioning of EEG have largely remained sex-neutral. Th…