Variational auto encoder fused with Gaussian process for unsupervised anomaly detection
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-023-05747-6.pdf
Reference34 articles.
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3. Pang J, Pu X, Li C (2022) A hybrid algorithm incorporating vector quantization and one-class support vector machine for industrial anomaly detection. IEEE Trans Ind Inform
4. Zhao C, Chang X, Xie T, Fujita H, Wu J (2022) Unsupervised anomaly detection based method of risk evaluation for road traffic accident. Appl Intell 1–16
5. Zhou Y, Ren H, Li Z, Pedrycz W (2022) Anomaly detection based on a granular Markov model. Expert Syst Appl 187:115744
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