High-performance detection of epilepsy in seizure-free EEG recordings: A novel machine learning approach using very specific epileptic EEG sub-bands. R Buettner, J Frick, T Rieg ICIS, 2019 | 64 | 2019 |
High-performance detection of alcoholism by unfolding the amalgamated EEG spectra using the Random Forests method T Rieg, J Frick, M Hitzler, R Buettner | 50 | 2019 |
Machine learning based diagnosis of diseases using the unfolded EEG spectra: Towards an intelligent software sensor R Buettner, T Rieg, J Frick Information Systems and Neuroscience: NeuroIS Retreat 2019, 165-172, 2020 | 39 | 2020 |
Demonstration of the potential of white-box machine learning approaches to gain insights from cardiovascular disease electrocardiograms T Rieg, J Frick, H Baumgartl, R Buettner PloS one 15 (12), e0243615, 2020 | 34 | 2020 |
Multi-Class Emotion Recognition within the Valence-Arousal-Dominance Space Using EEG. M Gaertner, D Sauter, H Baumgartl, T Rieg, R Buettner AMCIS, 2021 | 8 | 2021 |
Machine learning-based diagnosis of epilepsy in clinical routine: Lessons learned from a retrospective pilot study T Rieg, J Frick, R Buettner Information Systems and Neuroscience: NeuroIS Retreat 2020, 276-283, 2020 | 7 | 2020 |
Detection of schizophrenia: A machine learning algorithm for potential early detection and prevention based on event-related potentials. J Frick, T Rieg, R Buettner HICSS, 1-10, 2021 | 6 | 2021 |
A Novel Machine Learning Approach to Working Memory Evaluation Using Resting-State EEG Data. J Breitenbach, A Uzun, T Rieg, H Baumgartl, R Buettner PACIS 21, 1-12, 2021 | 5 | 2021 |
High-Performance Detection of Mild Cognitive Impairment Using Resting-State EEG Signals Located in Broca's Area: A Machine Learning Approach. J Gross, N Groiss, T Rieg, H Baumgartl, R Buettner AMCIS, 2021 | 5 | 2021 |
From mechanistic insight towards clinical implementation using normative modeling T Rieg, E Schwarz Nature Computational Science 2 (5), 278-280, 2022 | 2 | 2022 |
Machine Learning-Based Health Behavior Prediction Using Resting-State EEG Data J Breitenbach, D Eisenhardt, T Rieg, H Baumgartl, PS Ulrich, IJ Timm, ... | 1 | 2022 |