WiP: Generative Adversarial Network for Oversampling Data in Credit Card Fraud Detection-Reference-Cited by-同舟云学术

WiP: Generative Adversarial Network for Oversampling Data in Credit Card Fraud Detection

Published:2019 Issue: Volume: Page:123-134
ISSN:0302-9743
Container-title:Information Systems Security
language:
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Author:

Gangwar Akhilesh Kumar,Ravi Vadlamani^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-36945-3_7

Reference20 articles.

1. Sisodia, D.S., Reddy, N.K.: Performance evaluation of class balancing techniques for credit card fraud detection. In: 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), pp. 2747–2752 (2017)

2. Randhawa, K., Loo, C.K., Seera, M., Lim, C.P., Nandi, A.K.: Credit card fraud detection using adaboost and majority voting. IEEE Access 6, 14277–14284 (2018)

3. Advances in Intelligent Systems and Computing;B Vega-Márquez,2020

4. Dos Santos Tanaka, F.H.K., Aranha, C.: Data augmentation using GANs. CoRRabs/1904.09135 (2019). http://arxiv.org/abs/1904.09135

5. Mottini, A., Lheritier, A., Acuna-Agost, R.: Airline passenger name record generation using generative adversarial networks. arXiv preprint https://arxiv.org/abs/1807.06657 (2018)

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