An Interactive Web Application for Decision Tree Learning. - Miriam Elia; Carola Gajek; Alexander Schiendorfer; Wolfgang Reif (Teaching ML, 2020)

A Methodology Based on Quality Gates for Certifiable AI in Medicine: Towards a Reliable Application of Metrics in Machine Learning. - Miriam Elia; Bernhard Bauer 001 (ICSOFT, 2023)

Towards Automated COVID-19 Presence and Severity Classification. - Dominik Müller; Silvan Mertes; Niklas Schröter; Fabio Hellmann; Miriam Elia; Bernhard Bauer 001; Wolfgang Reif; Elisabeth André; Frank Kramer 001 (MIE, 2023)

LIFEDATA - A Framework for Traceable Active Learning Projects. - Fabian Stieler; Miriam Elia; Benjamin Weigel; Bernhard Bauer 001; Peter Kienle; Anton Roth; Gregor Müllegger; Marius Nann; Sarah Dopfer (REW, 2023)

Towards Certifiable AI in Medicine: Illustrated for Multi-label ECG Classification Performance Metrics. - Miriam Elia; Fabian Stieler; Fabian Ripke; Marius Nann; Sarah Dopfer; Bernhard Bauer 001 (EAIS, 2024)

The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. - Luuk H. Boulogne; Julian Lorenz; Daniel Kienzle; Robin Schön; Katja Ludwig; Rainer Lienhart; Simon Jégou; Guang Li; Cong Chen; Qi Wang; Derik Shi; Mayug Maniparambil; et al. (Medical Image Anal., 2024)

MQG4AI Towards Responsible High-risk AI - Illustrated for Transparency Focusing on Explainability Techniques. - Miriam Elia; Alba Maria Lopez; Katherin Alexandra Corredor; Bernhard Bauer 001; Esteban García-Cuesta (CoRR, 2025)

Clinical Decision Support Systems at the Intersection of Technology and Ethics: A Critical Analysis of the Ethical Guidelines Issued by the German Medical Association. - Paula Ziethmann; Miriam Elia; Fabian Stieler; Bernhard Bauer 001; Julia Welzel; Kerstin Schlögl-Flierl (Digit. Soc., 2025)

Responsible AI, ethics, and the AI lifecycle: how to consider the human influence? - Miriam Elia; Paula Ziethmann; Julia Krumme; Kerstin Schlögl-Flierl; Bernhard Bauer 001 (AI Ethics, 2025)