Michael Lebacher

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Machine Learning

Maximum Entropy Principle

Fault Detection

Top Venues

Publications

Thomas Decker, Alexander Koebler, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance. KDD (2024)
Thomas Decker, Michael Lebacher, Volker Tresp
Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning. ICASSP (2023)
Thomas Decker, Ralf Gross, Alexander Koebler, Michael Lebacher, Ronald Schnitzer, Stefan H. Weber
The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research. CoRR (2023)
Thomas Decker, Ananta R. Bhattarai, Michael Lebacher
Towards Scenario-Based Safety Validation for Autonomous Trains with Deep Generative Models. SAFECOMP (2023)
Thomas Decker, Ralf Gross, Alexander Koebler, Michael Lebacher, Ronald Schnitzer, Stefan H. Weber
The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research. HCI (40) (2023)
Thomas Decker, Michael Lebacher, Volker Tresp
Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts. CoRR (2023)
Thomas Decker, Michael Lebacher, Volker Tresp
Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning. CoRR (2023)
Thomas Decker, Michael Lebacher, Volker Tresp
Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts. INDIN (2023)
Thomas Decker, Ananta R. Bhattarai, Michael Lebacher
Towards Scenario-based Safety Validation for Autonomous Trains with Deep Generative Models. CoRR (2023)
Cornelius Fritz, Michael Lebacher, Göran Kauermann
Tempus Volat, Hora Fugit - A Survey of Dynamic Network Models in Discrete and Continuous Time. CoRR (2019)