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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
Sprog:Inglês
Udgivet: MDPI AG 2025-03-01
Serier:Journal of Cybersecurity and Privacy
Fag:
fraud detection
generative models
variational autoencoder
generative adversarial neural network
class imbalance
autoencoder
Online adgang:https://www.mdpi.com/2624-800X/5/1/9
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