Michael Lebacher

According to our database1, Michael Lebacher authored at least 5 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Towards Scenario-Based Safety Validation for Autonomous Trains with Deep Generative Models.
Proceedings of the Computer Safety, Reliability, and Security, 2023

Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts.
Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research.
Proceedings of the Artificial Intelligence in HCI, 2023

2019
Tempus Volat, Hora Fugit - A Survey of Dynamic Network Models in Discrete and Continuous Time.
CoRR, 2019


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