High-performance exclusion of schizophrenia using a novel machine learning method on EEG data. - Ricardo Buettner; Michael Hirschmiller; Kevin Schlosser; Manfred Rössle; Marc Fernandes; Ingo J. Timm (HealthCom, 2019)

ML-ModelExplorer: An Explorative Model-Agnostic Approach to Evaluate and Compare Multi-class Classifiers. - Andreas Theissler; Simon Vollert; Patrick Benz; Laurentius Antonius Meerhoff; Marc Fernandes (CD-MAKE, 2020)

Detecting Potential Subscribers on Twitch: A Text Mining Approach with XGBoost - Discovery Challenge ChAT: CoolStoryBob. - Marvin Gärtner; Andreas Theissler; Marc Fernandes (ChAT@PKDD/ECML, 2020)

Design and prototype development of an AI-based application for predictive maintenance using smart device and airborne noise data. - Michael Hirschmiller; Kevin Schlosser; Manfred Rössle; Marc Fernandes (KES, 2023)

COVID-19 and its early Diagnosis: A Systematic Literature Review of SOTA Machine Learning Approaches. - Sophia Kärger; Marco Klaiber; Felix Gerschner; Marc Fernandes; Manfred Rössle (KES, 2024)

Federated Learning for Sound Data: Accurate Fan Noise Classification with a Multi-Microphone Setup. - Kim Niklas Neuhäusler; Nico Harald Wittek; Marco Klaiber; Felix Gerschner; Marc Fernandes; Manfred Rössle (KES, 2024)