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Log Attention – Assessing Software Release with Attention-based Log Anomaly Detection
Sohail Munir, Hamid Ali and Jahangeer Qureshi
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A Taxonomy of Anomalies in Log Data
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert and Odej Kao
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Little Help Makes a Big Difference: Leveraging Active Learning to Improve Unsupervised Time Series Anomaly Detection
Hamza Bodor, Thai V. Hoang and Zonghua Zhang
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MMRCA: MultiModal Root Cause Analysis
Gary White, Jaroslaw Diuwe, Erika Fonseca and Owen O'Brien
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IAD: Indirect Anomalous VMMs Detection in the Cloud-based Environment
Anshul Jindal, Ilya Shakhat, Jorge Cardoso, Michael Gerndt and Vladimir Podolskiy
