Anomaly Detection Algorithms: Comparative Analysis and Explainability Perspectives

Sadeq Darrab, Harshitha Allipilli, Sana Ghani, Harikrishnan Changaramkulath, Sricharan Koneru, David Broneske, Gunter Saake. Anomaly Detection Algorithms: Comparative Analysis and Explainability Perspectives. In Diana Benavides Prado, Sarah M. Erfani, Philippe Fournier-Viger, Yee Ling Boo, Yun Sing Koh, editors, Data Science and Machine Learning - 21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11-13, 2023, Proceedings. Volume 1943 of Communications in Computer and Information Science, pages 90-104, Springer, 2023. [doi]

Abstract

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