Solving Fraud Detection Tasks Based on Wavelet-Neuro Autoencoder

Author:

Vynokurova OlenaORCID,Peleshko DmytroORCID,Zhernova PolinaORCID,Perova IrynaORCID,Kovalenko AndriiORCID

Publisher

Springer International Publishing

Reference18 articles.

1. Benchaji, I., Douzi, S., Ouahidi, B.: Using Genetic Algorithm to Improve Classification of Imbalanced Datasets for Credit Card Fraud Detection: Methods and Protocols (2019)

2. Bengio, Y., Lamblin, P., Popovici, D., Larochelle, H.: Greedy layer-wise training of deep networks. In: Neural Information Processing Systems, Cambridge, MA, USA, pp. 153–160 (2007)

3. Bodyanskiy, Y., Vynokurova, O., Yegorova, E.: Radial-basis-fuzzy-wavelet-neural network with adaptive activation-membership function. Int. J. Artif. Intell. Mach. Learn. 8, 9–15 (2008)

4. Bodyanskiy, Y., Lamonova, N., Pliss, I., Vynokurova, O.: An adaptive learning algorithm for a wavelet neural network. Expert Syst. 22, 235–240 (2005). https://doi.org/10.1111/j.1468-0394.2005.00314.x

5. Bolton, R., Hand, D.: Unsupervised profiling methods for fraud detection. In: Conference on Credit Scoring and Credit Control, vol. 7, pp. 5–7 (2001)

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