Publisher
Springer Nature Singapore
Reference19 articles.
1. Pimentel, M.A., Clifton, D.A., Clifton, L., Tarassenko, L.: A review of novelty detection. Sig. Process. 99(6), 215–249 (2014)
2. Yang, F., Peng, Y., Li, Y.: Research on insulator self-explosion detection with small sample based on deep learning. J. East China Jiaotong Univ. 2, 110–117 (2022)
3. Walluscheck, S., Canalini, L., Klein, J., Heldmann, S.: Unsupervised learning of healthy anatomy for anomaly detection in brain CT scans. In: Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, vol. 12465, p. 1246504 (2023)
4. Tong, H.Z.: Research on multiple classification detection for network traffic anomaly based on deep learning. In: 2022 6th International Symposium on Computer Science and Intelligent Control (ISCSIC), pp. 12–16, November 2022
5. Tao, X., Gong, X., Zhang, X.Y., Yan, S., Adak, C.: Deep learning for unsupervised anomaly localization in industrial images: a survey. IEEE Trans. Instrum. Measur. 71, 1–21 (2022)