Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Artificial Intelligence
Reference51 articles.
1. An, J., Cho, S.: Variational autoencoder based anomaly detection using reconstruction probability. Special Lect. IE 2(1) (2015)
2. Ruff, L., Vandermeulen, R., Goernitz, N., Deecke, L., Siddiqui, S.A., Binder, A., Müller, E., Kloft, M.: Deep one-class classification. In: International conference on machine learning, pp. 4393–4402 (2018)
3. Sakurada, M., Yairi, T.: Anomaly detection using autoencoders with nonlinear dimensionality reduction. In: Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, pp. 4–11 (2014)
4. Marchi, E., Vesperini, F., Eyben, F., Squartini, S., Schuller, B.: A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks. In: 2015 IEEE international conference on acoustics, speech and signal processing (ICASSP), pp. 1996–2000. IEEE (2015)
5. Zhou, C., Paffenroth, R.C.: Anomaly detection with robust deep autoencoders. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 665–674 (2017)
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