High-performance detection of alcoholism by unfolding the amalgamated EEG spectra using the Random Forests method. - Thilo Rieg; Janek Frick; Marius Hitzler; Ricardo Buettner (HICSS, 2019)

High-performance detection of epilepsy in seizure-free EEG recordings: A novel machine learning approach using very specific epileptic EEG sub-bands. - Ricardo Buettner; Janek Frick; Thilo Rieg (ICIS, 2019)

Multi-Class Emotion Recognition within the Valence-Arousal-Dominance Space Using EEG. - Marvin Gaertner; Daniel Sauter; Hermann Baumgartl; Thilo Rieg; Ricardo Buettner (AMCIS, 2021)

High-Performance Detection of Mild Cognitive Impairment Using Resting-State EEG Signals Located in Broca's Area: A Machine Learning Approach. - Jan Gross; Niklas Groiss; Thilo Rieg; Hermann Baumgartl; Ricardo Buettner (AMCIS, 2021)

Detection of schizophrenia: A machine learning algorithm for potential early detection and prevention based on event-related potentials. - Janek Frick; Thilo Rieg; Ricardo Buettner (HICSS, 2021)

A Novel Machine Learning Approach to Working Memory Evaluation Using Resting-State EEG Data. - Johannes Breitenbach; Alpay Uzun; Thilo Rieg; Hermann Baumgartl; Ricardo Buettner (PACIS, 2021)

Machine Learning-Based Health Behavior Prediction Using Resting-State EEG Data. - Johannes Breitenbach; Daniel Eisenhardt; Thilo Rieg; Hermann Baumgartl; Patrick Sven Ulrich; Ingo J. Timm; Ricardo Buettner (AMCIS, 2022)

From mechanistic insight towards clinical implementation using normative modeling. - Thilo Rieg; Emanuel Schwarz (Nat. Comput. Sci., 2022)

dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning. - Han Cao 001; Youcheng Zhang; Jan Baumbach; Paul R. Burton; Dominic B. Dwyer; Nikolaos Koutsouleris; Julian O. Matschinske; Yannick Marcon; Sivanesan Rajan; Thilo Rieg; Patricia Ryser-Welch; Julian Späth; et al. (Bioinform., 2022)