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Detecting rare events is essential in various fields, e.g., in cyber security or maintenance.
Deep Learning for Anomaly Detection: A Survey
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Handling Concept Drifts in Regression Problems – the Error Intersection Approach
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An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series
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A new interpretable unsupervised anomaly detection method based on residual explanation
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Non-Technical Losses Detection Using Autoencoder and Bidirectional Gated Recurrent Unit to Secure Smart Grids
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Deep Learning for Anomaly Detection: A Review
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Anomaly Detection in Distributed Systems via Variational Autoencoders. In 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) . IEEE, Toronto, ON, Canada, 2822–2829
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Anomaly detection and failure root cause analysis in (micro) service-based cloud applications: A survey
Jacopo Soldani and Antonio Brogi. 2022 · 2022
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Diverse Counterfactual Explanations for Anomaly Detection in Time Series
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Multivariate Time Series Anomaly Detection with Few Positive Samples
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