Generative Modeling for Imbalanced Credit Card Fraud Transaction Detection

The increasing sophistication of fraud tactics necessitates advanced detection methods to protect financial assets and maintain system integrity. Various approaches based on artificial intelligence have been proposed to identify fraudulent activities, leveraging techniques such as machine learning a...

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Principais autores:	Mohammed Tayebi, Said El Kafhali
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-03-01
Serija:	Journal of Cybersecurity and Privacy
Teme:	fraud detection generative models variational autoencoder generative adversarial neural network class imbalance autoencoder
Online dostop:	https://www.mdpi.com/2624-800X/5/1/9
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