Mingyi Huang

Mingyi Huang

The Ohio State University

VUS: effective and efficient accuracy measures for time-series anomaly detection

Published in The VLDB Journal, 2025

Recommended citation: Paul Boniol, Ashwin K. Krishna, Marine Bruel, Qinghua Liu, Mingyi Huang, Themis Palpanas, Ruey S. Tsay, Aaron Elmore, Michael J. Franklin, John Paparrizos. (2025). VUS: effective and efficient accuracy measures for time-series anomaly detection. https://link.springer.com/article/10.1007/s00778-025-00907-x

This paper studies effective and efficient evaluation measures for time-series anomaly detection.

paper

Paul Boniol, Ashwin K. Krishna, Marine Bruel, Qinghua Liu, Mingyi Huang, Themis Palpanas, Ruey S. Tsay, Aaron Elmore, Michael J. Franklin, John Paparrizos. (2025). VUS: effective and efficient accuracy measures for time-series anomaly detection.