Anomaly detection based on time series data from industrial automatic sewing machines. - Daniel Vranjes; Oliver Niggemann (ICPS, 2022)

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)

Using Modular Neural Networks for Anomaly Detection in Cyber-Physical Systems. - Jonas Ehrhardt; Phillip Johann Overlöper; Daniel Vranjes; Henrik S. Steude; Alexander Diedrich; Oliver Niggemann (ETFA, 2024)

Enhancing Cyber-Physical System Analysis with Structure-Aware Modular Neural Networks. - Daniel Vranjes; Oliver Niggemann (ICPS, 2024)

Design Principles for Falsifiable, Replicable and Reproducible Empirical ML Research. - Daniel Vranjes; Oliver Niggemann (CoRR, 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)