1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Modified Feature Selection for Improved Classification of Resting-State Raw EEG Signals in Chronic Knee Pain
Jean Li, Dirk De Ridder, Divya Adhia +2
\textit{Objective:} Diagnosing pain in research and clinical practices still relies on self-report. This study aims to develop an automatic approach that works on resting-state raw…
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…
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…