no code implementations • 16 Jan 2024 • Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei zhang, Eamonn J. Keogh
In this work we introduce a domain agnostic counterfactual explanation technique to produce explanations for time series anomalies.
no code implementations • 23 Feb 2021 • Renjie Wu, Audrey Der, Eamonn J. Keogh
This problem generalizes classic time series classification to ask if we can classify a time series subsequence with sufficient accuracy and confidence after seeing only some prefix of a target pattern.
no code implementations • 29 Sep 2020 • Renjie Wu, Eamonn J. Keogh
Time series anomaly detection has been a perennially important topic in data science, with papers dating back to the 1950s.
1 code implementation • 25 Mar 2020 • Renjie Wu, Eamonn J. Keogh
For over two decades it has been known that the Dynamic Time Warping (DTW) distance measure is the best measure to use for most tasks, in most domains.
no code implementations • 21 Nov 2019 • Alireza Abdoli, Amy C. Murillo, Alec C. Gerry, Eamonn J. Keogh
Poultry farms are a major contributor to the human food chain.
no code implementations • 7 Nov 2018 • Alireza Abdoli, Amy C. Murillo, Chin-Chia M. Yeh, Alec C. Gerry, Eamonn J. Keogh
This task superficially appears to be easy, given the dramatic progress in recent years in classifying human behaviors, and given that human behaviors are presumably more complex.