Explainable time series anomaly detection using masked latent generative modeling-Reference-Cited by-同舟云学术

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Explainable time series anomaly detection using masked latent generative modeling

Published:2024-12 Issue: Volume:156 Page:110826
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Lee Daesoo^ORCID,Malacarne Sara,Aune Erlend^ORCID

Funder

Norges forskningsråd

Publisher

Elsevier BV

Reference46 articles.

1. Deep one-class classification;Ruff,2018

2. Isolation forest;Liu,2008

3. Robust random cut forest based anomaly detection on streams;Guha,2016

4. Merlin: Parameter-free discovery of arbitrary length anomalies in massive time series archives;Nakamura,2020

5. MERLIN++: parameter-free discovery of time series anomalies;Nakamura;Data Min. Knowl. Discov.,2023

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