Continual AE-WGAN for Unsupervised Anomaly Detection in Streaming Data

Author:

Seghair Tarek,Besbes Olfa,Abdellatif Takoua

Publisher

Springer Nature Singapore

Reference26 articles.

1. Aich, A.: Elastic weight consolidation (EWC): nuts and bolts. CoRR abs/2105.04093 (2021). https://arxiv.org/abs/2105.04093

2. Akcay, S., Atapour-Abarghouei, A., Breckon, T.P.: GANomaly: semi-supervised anomaly detection via adversarial training (2018). https://doi.org/10.48550/ARXIV.1805.06725, https://arxiv.org/abs/1805.06725

3. Aljundi, R., Chakravarty, P., Tuytelaars, T.: Expert gate: lifelong learning with a network of experts. CoRR abs/1611.06194 (2016). http://arxiv.org/abs/1611.06194

4. Bhatia, S., Jain, A., Li, P., Kumar, R., Hooi, B.: MStream: fast streaming multi-aspect group anomaly detection. CoRR abs/2009.08451 (2020). https://arxiv.org/abs/2009.08451

5. Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: SMOTE: synthetic minority over-sampling technique. J. Artif. Intell. Res. 16, 321–357 (2002). https://doi.org/10.1613/jair.953,

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