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Henrik Sebastian Steude
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2020 – today
- 2024
- [c3]Daniel Vranjes, Jonas Ehrhardt, René Heesch, Lukas Moddemann, Henrik Sebastian Steude, Oliver Niggemann:
Design Principles for Falsifiable, Replicable and Reproducible Empirical Machine Learning Research. DX 2024: 7:1-7:13 - [c2]Jonas Ehrhardt, Phillip Johann Overlöper, Daniel Vranjes, Henrik S. Steude, Alexander Diedrich, Oliver Niggemann:
Using Modular Neural Networks for Anomaly Detection in Cyber-Physical Systems. ETFA 2024: 1-7 - [c1]Lukas Moddemann, Henrik Sebastian Steude, Alexander Diedrich, Ingo Pill, Oliver Niggemann:
Extracting Knowledge using Machine Learning for Anomaly Detection and Root-Cause Diagnosis. ETFA 2024: 1-8 - 2023
- [i4]Alexander Windmann, Henrik S. Steude, Oliver Niggemann:
Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative Study. CoRR abs/2306.07737 (2023) - [i3]Lukas Moddemann, Henrik Sebastian Steude, Alexander Diedrich, Oliver Niggemann:
Discret2Di - Deep Learning based Discretization for Model-based Diagnosis. CoRR abs/2311.03413 (2023) - [i2]Henrik S. Steude, Lukas Moddemann, Alexander Diedrich, Jonas Ehrhardt, Oliver Niggemann:
Diagnosis driven Anomaly Detection for CPS. CoRR abs/2311.15924 (2023) - 2022
- [p1]Oliver Niggemann
, Bernd Zimmering
Machine Learning for Cyber-Physical Systems. Digital Transformation 2022: 415-446 - 2021
- [i1]Henrik S. Steude, Alexander Windmann, Oliver Niggemann:
Learning Physical Concepts in Cyber-Physical Systems: A Case Study. CoRR abs/2111.14151 (2021)
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