Curriculum Learning-Based Multivariate Time Series Anomaly Detection

Curriculum Learning-Based Multivariate Time Series Anomaly Detection

Anomaly detection in multivariate time series (MVTS) is a significant research domain across several industries, including cybersecurity and industrial systems. There have been several deep learning-based methods proposed within this research domain. The development of high capacity frameworks has r...

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Bibliographic Details
Main Authors: Devilliers C Dube, Mehmet Akar
Format: Article
Language:English
Published: FRUCT 2024-04-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
anomaly detection
curriculum learning
multivariate time series
reconstruction-based
semi-supervised
system signature matrices
Online Access:https://www.fruct.org/publications/volume-35/fruct35/files/Dub.pdf

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https://www.fruct.org/publications/volume-35/fruct35/files/Dub.pdf

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