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. Explainable Deep Learning for Fault Prognostics in Complex Systems: A Particle Accelerator Use-Case. In Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar R. Weippl, editors, Machine Learning and Knowledge Extraction - 4th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2020, Dublin, Ireland, August 25-28, 2020, Proceedings. Volume 12279 of Lecture Notes in Computer Science, pages 139-158, Springer, 2020. [doi]

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