Self-Supervised Anomaly Detection Using Outliers for Multivariate Time Series

Due to the difficulty of having sufficient labeled data, self-supervised learning (SSL) has recently got much attention by many researchers in time series anomaly detection. The generative adversarial network (GAN) based autoencoder model, one of the SSL models, has good performance on anomaly detec...

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Detaylı Bibliyografya
Asıl Yazarlar:	Jaehyeop Hong, Youngbum Hur
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	IEEE 2024-01-01
Seri Bilgileri:	IEEE Access
Konular:	Adversarial training anomaly detection anomaly score autoencoder clustering dimension reduction
Online Erişim:	https://ieeexplore.ieee.org/document/10815929/
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Self-Supervised Anomaly Detection Using Outliers for Multivariate Time Series

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