Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?

M. Saquib Sarfraz; Mei-Yen Chen; Lukas Layer; Kunyu Peng; Marios Koulakis

2024 ICML ICML 2024

Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

❓ The Questioner

🌉 Interdisciplinary Bridge - Artificial Intelligence and Data Science & Analytics

📈 Trend Setter - Anomaly Detection

Authors

M. Saquib Sarfraz, Mei-Yen Chen, Lukas Layer, Kunyu Peng, Marios Koulakis

Topics

Machine Learning > Learning Types > Unsupervised Learning Data Science & Analytics > Applications > Anomaly Detection

Keywords

anomaly detection time series deep learning model evaluation metric benchmarking simple baselines

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