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Semantic Discord: Finding Unusual Local Patterns for Time Series
v1v2 (latest)

Semantic Discord: Finding Unusual Local Patterns for Time Series

SDM (SDM), 2020
30 January 2020
Li Zhang
Yifeng Gao
Jessica Lin
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Semantic Discord: Finding Unusual Local Patterns for Time Series"

3 / 3 papers shown
An Unsupervised Time Series Anomaly Detection Approach for Efficient Online Process Monitoring of Additive Manufacturing
An Unsupervised Time Series Anomaly Detection Approach for Efficient Online Process Monitoring of Additive Manufacturing
Frida Cantu
Salomon Ibarra
Arturo Gonzales
Jesus Barreda
Chenang Liu
Li Zhang
72
0
0
11 Oct 2025
Adaptive von Mises-Fisher Likelihood Loss for Supervised Deep Time Series Hashing
Adaptive von Mises-Fisher Likelihood Loss for Supervised Deep Time Series Hashing
Juan Manuel Perez
Kevin Garcia
Brooklyn Berry
Dongjin Song
Yifeng Gao
AI4TS
111
0
0
23 Sep 2025
Robust Time Series Chain Discovery with Incremental Nearest Neighbors
Robust Time Series Chain Discovery with Incremental Nearest NeighborsIndustrial Conference on Data Mining (IDM), 2022
Li Zhang
Yan Zhu
Yifeng Gao
Jessica Lin
AI4TS
79
2
0
03 Nov 2022
1
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