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Thilo Rieg
ORCID
Publication Activity (10 Years)
Years Active: 2019-2022
Publications (10 Years): 9
Top Topics
Epileptic Seizures
Eeg Data
Computational Framework
Machine Learning
Top Venues
AMCIS
HICSS
Bioinform.
ICIS
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Publications
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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) (2022)
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)
Thilo Rieg
,
Emanuel Schwarz
From mechanistic insight towards clinical implementation using normative modeling.
Nat. Comput. Sci.
2 (5) (2022)
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)
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)
Marvin Gaertner
,
Daniel Sauter
,
Hermann Baumgartl
,
Thilo Rieg
,
Ricardo Buettner
Multi-Class Emotion Recognition within the Valence-Arousal-Dominance Space Using EEG.
AMCIS
(2021)
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)
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)
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)