Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection
Summary: TSB-UAD benchmark for univariate time-series anomaly detection; 12 methods, 1980 series, 13 accuracy measures. Theseus: modular web app to navigate benchmark, compare methods and metrics across conditions, aiding method selection. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Paul Boniol (Université Paris Cité)
- 2. John Paparrizos (Ohio State University)
- 3. Yuhao Kang (University of Chicago)
- 4. Themis Palpanas (Institut universitaire de France; Université Paris Cité)
- 5. Ruey S. Tsay (University of Chicago)
- 6. Aaron J. Elmore (University of Chicago)
- 7. Michael J. Franklin (University of Chicago)
BibTeX Citation
@article{boniol_vldb22,
title = {{Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection}},
author = {Boniol, Paul and Paparrizos, John and Kang, Yuhao and Palpanas, Themis and Tsay, Ruey S. and Elmore, Aaron J. and Franklin, Michael J.},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {12},
pages = {3702--3705},
doi = {10.14778/3554821.3554879},
url = {https://doi.org/10.14778/3554821.3554879},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
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