Thilo Rieg

According to our database, Thilo Rieg authored at least 9 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning.

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

Bioinform., October, 2022

From mechanistic insight towards clinical implementation using normative modeling.

Thilo Rieg, Emanuel Schwarz

Nat. Comput. Sci., 2022

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

Proceedings of the 28th Americas Conference on Information Systems, 2022

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

Proceedings of the 25th Pacific Asia Conference on Information Systems, 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

Proceedings of the 54th Hawaii International Conference on System Sciences, 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

Proceedings of the 27th Americas Conference on Information Systems, 2021

Multi-Class Emotion Recognition within the Valence-Arousal-Dominance Space Using EEG.

Marvin Gaertner, Daniel Sauter, Hermann Baumgartl, Thilo Rieg, Ricardo Buettner

Proceedings of the 27th Americas Conference on Information Systems, 2021

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

Proceedings of the 40th International Conference on Information Systems, 2019

High-performance detection of alcoholism by unfolding the amalgamated EEG spectra using the Random Forests method.

Thilo Rieg, Janek Frick, Marius Hitzler, Ricardo Buettner

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019