8 citations · 14 across the 7 of their papers we have counts for
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cs.LG2023★ 8 cited
Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning
Thomas Decker, Michael Lebacher, Volker Tresp
Deep Learning has already been successfully applied to analyze industrial sensor data in a variety of relevant use cases. However, the opaque nature of many well-performing methods…
cs.LG2023★ 6 cited
Towards Scenario-based Safety Validation for Autonomous Trains with Deep Generative Models
Thomas Decker, Ananta R. Bhattarai, Michael Lebacher
Modern AI techniques open up ever-increasing possibilities for autonomous vehicles, but how to appropriately verify the reliability of such systems remains unclear. A common approa…