Publisher
Springer Nature Singapore
Reference28 articles.
1. Akcay, S., Atapour-Abarghouei, A., Breckon, T.P.: Ganomaly: semi-supervised anomaly detection via adversarial training. In: Jawahar, C.V., Li, H., Mori, G., Schindler, K. (eds.) Computer Vision - ACCV 2018, pp. 622–637. Springer International Publishing, Cham (2019)
2. Chung, J., Gulcehre, C., Cho, K., Bengio, Y.: Empirical evaluation of gated recurrent neural networks on sequence modeling (2014)
3. d’Afflisio, E., Braca, P., Willett, P.: Malicious AIS spoofing and abnormal stealth deviations: a comprehensive statistical framework for maritime anomaly detection. IEEE Trans. Aerosp. Electron. Syst. 57(4), 2093–2108 (2021)
4. Ding, K., Li, J., Bhanushali, R., Liu, H.: Deep anomaly detection on attributed networks, pp. 594–602. https://doi.org/10.1137/1.9781611975673.67
5. Goodfellow, I.J., et al.: Generative adversarial networks (2014)
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