Lukas Felsberger

According to our database, Lukas Felsberger authored at least 7 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Investigations of the Usefulness of Automated FMECAs for Electronic Circuits.

David Westermann, Martin Dazer, Lukas Felsberger, Jan Uythoven, Daniel Wollmann

Proceedings of the 2025 9th International Conference on System Reliability and Safety (ICSRS), 2025

2022

Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities.

Christoph Obermair, Thomas Cartier-Michaud, Andrea Apollonio, William Millar, Lukas Felsberger, Lorenz Fischl, Holger Severin Bovbjerg, Daniel Wollmann, Walter Wuensch, Nuria Catalan Lasheras, Marçà Boronat, Franz Pernkopf, Graeme Burt

CoRR, 2022

Example or Prototype? Learning Concept-Based Explanations in Time-Series.

Christoph Obermair, Alexander Fuchs, Franz Pernkopf, Lukas Felsberger, Andrea Apollonio, Daniel Wollmann

Proceedings of the Asian Conference on Machine Learning, 2022

2020

Explainable Deep Learning for Fault Prognostics in Complex Systems: A Particle Accelerator Use-Case.

Lukas Felsberger, Andrea Apollonio, Thomas Cartier-Michaud, Andreas Müller, Benjamin Todd, Dieter Kranzlmüller

Proceedings of the Machine Learning and Knowledge Extraction, 2020

2019

Power Converter Maintenance Optimization Using a Model-Based Digital Reliability Twin Paradigm.

Lukas Felsberger, Benjamin Todd, Dieter Kranzlmüller

Proceedings of the 4th International Conference on System Reliability and Safety, 2019

Cost and Availability Improvements for Fault-Tolerant Systems Through Optimal Load-Sharing Policies.

Lukas Felsberger, Benjamin Todd, Dieter Kranzlmüller

Proceedings of the 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019) / Affiliated Workshops, April 29, 2019

2018

Field-Reliability Predictions Based on Statistical System Lifecycle Models.

Lukas Felsberger, Dieter Kranzlmüller, Benjamin Todd

Proceedings of the Machine Learning and Knowledge Extraction, 2018