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2020 – today
- 2022
[j2]Han Cao
, 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, Carl Herrmann, Emanuel Schwarz:
dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning. Bioinform. 38(21): 4919-4926 (2022)- [j1]Thilo Rieg, Emanuel Schwarz:
From mechanistic insight towards clinical implementation using normative modeling. Nat. Comput. Sci. 2(5): 278-280 (2022) - [c7]Johannes Breitenbach, Daniel Eisenhardt, Thilo Rieg, Hermann Baumgartl, Patrick Sven Ulrich, Ingo J. Timm, Ricardo Buettner:
Machine Learning-Based Health Behavior Prediction Using Resting-State EEG Data. AMCIS 2022 - 2021
- [c6]Marvin Gaertner, Daniel Sauter, Hermann Baumgartl, Thilo Rieg, Ricardo Buettner:
Multi-Class Emotion Recognition within the Valence-Arousal-Dominance Space Using EEG. AMCIS 2021 - [c5]Jan Gross, Niklas Groiss, Thilo Rieg, Hermann Baumgartl, Ricardo Buettner:
High-Performance Detection of Mild Cognitive Impairment Using Resting-State EEG Signals Located in Broca's Area: A Machine Learning Approach. AMCIS 2021 - [c4]Janek Frick, Thilo Rieg, Ricardo Buettner:
Detection of schizophrenia: A machine learning algorithm for potential early detection and prevention based on event-related potentials. HICSS 2021: 1-10 - [c3]Johannes Breitenbach, Alpay Uzun, Thilo Rieg, Hermann Baumgartl, Ricardo Buettner:
A Novel Machine Learning Approach to Working Memory Evaluation Using Resting-State EEG Data. PACIS 2021: 42
2010 – 2019
- 2019
- [c2]Thilo Rieg, Janek Frick, Marius Hitzler, Ricardo Buettner:
High-performance detection of alcoholism by unfolding the amalgamated EEG spectra using the Random Forests method. HICSS 2019: 1-9 - [c1]Ricardo Buettner, Janek Frick, Thilo Rieg:
High-performance detection of epilepsy in seizure-free EEG recordings: A novel machine learning approach using very specific epileptic EEG sub-bands. ICIS 2019
Coauthor Index
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