Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Control and Systems Engineering
Reference32 articles.
1. D. Lee, Y. Cheon, and S. W. Han, “Regularizing attention networks for anomaly detection in visual question answering,” arXiv preprint arXiv:2009.10054, 2020.
2. Y. W. Kwon and D. J. Kang, “Anomaly detecting geometric transformation network with outlier exposure defect inspection of real industrial data,” International Journal of Precision Engineering and Manufacturing, vol. 24, pp. 73–81, 2023.
3. L. Ruff, R. A. Vandermeulen, N. Gornitz, A. Binder, E. Müller, K. R. Muller, and M. Kloft, “Deep semi-supervised anomaly detection,” Proc. of International Conference on Learning Representations, 2020.
4. C. Zhang, D. Song, Y. Chen, X. Feng, C. Lumezanu, W. Cheng, J. Ni, B. Zong, H. Chen, and N. V. Chawla, “A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data,” arXiv preprint arXiv:1811.08055, 2018.
5. N. Goernitz, M. Kloft, K. Rieck, and U. Brefeld, “Toward supervised anomaly detection,” Journal of Artificial Intelligence Research, vol. 46, pp. 235–262, 2013.
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