On a Uniform Causality Model for Industrial Automation. - Maria Krantz; Alexander Windmann; René Heesch; Lukas Moddemann; Oliver Niggemann (CoRR, 2022)

Discret2Di - Deep Learning based Discretization for Model-based Diagnosis. - Lukas Moddemann; Henrik Sebastian Steude; Alexander Diedrich; Oliver Niggemann (CoRR, 2023)

Diagnosis driven Anomaly Detection for CPS. - Henrik S. Steude; Lukas Moddemann; Alexander Diedrich; Jonas Ehrhardt; Oliver Niggemann (CoRR, 2023)

Design Principles for Falsifiable, Replicable and Reproducible Empirical Machine Learning Research. - Daniel Vranjes; Jonas Ehrhardt; René Heesch; Lukas Moddemann; Henrik Sebastian Steude; Oliver Niggemann (DX, 2024)

Extracting Knowledge using Machine Learning for Anomaly Detection and Root-Cause Diagnosis. - Lukas Moddemann; Henrik Sebastian Steude; Alexander Diedrich; Ingo Pill; Oliver Niggemann (ETFA, 2024)

Discretization of CPS Time Series with Neural Networks. - Phillip Johann Overlöper; Lukas Moddemann; Nemanja Hranisavljevic; Alexander Windmann; Oliver Niggemann (ETFA, 2024)

Data Driven Diagnosis for Large Cyber-Physical-Systems with Minimal Prior Information. - Henrik Sebastian Steude; Alexander Diedrich; Ingo Pill; Lukas Moddemann; Daniel Vranjes; Oliver Niggemann (CoRR, 2025)