R2-AD2: Detecting Anomalies by Analysing the Raw Gradient-Reference-Cited by-同舟云学术

R2-AD2: Detecting Anomalies by Analysing the Raw Gradient

Published:2023 Issue: Volume: Page:209-224
ISSN:0302-9743
Container-title:Machine Learning and Knowledge Discovery in Databases
language:
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Author:

Schulze Jan-Philipp^ORCID,Sperl Philip^ORCID,Răduțoiu Ana^ORCID,Sagebiel Carla,Böttinger Konstantin^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-26387-3_13

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4. Blackard, J.A., Dean, D.J.: Comparative accuracies of artificial neural networks and discriminant analysis in predicting forest cover types from cartographic variables. Comput. Electron. Agric. 24(3), 131–151 (1999). https://doi.org/10.1016/S0168-1699(99)00046-0

5. Borghesi, A., Bartolini, A., Lombardi, M., Milano, M., Benini, L.: Anomaly detection using autoencoders in high performance computing systems. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, no. 01, pp. 9428–9433 (2019). https://doi.org/10.1609/aaai.v33i01.33019428

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