Dual Autoencoders Generative Adversarial Network for Imbalanced Classification Problem

The imbalanced classification problem has become greatest issue in many fields, especially in fraud detection. In fraud detection, the transaction datasets available for training are extremely imbalanced, with fraudulent transaction logs considerably less represented. Meanwhile, the feature informat...

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Hlavní autoři:	Ensen Wu, Hongyan Cui, Roy E. Welsch
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2020-01-01
Edice:	IEEE Access
Témata:	Fraud detection imbalanced classification generative adversarial networks autoencoders
On-line přístup:	https://ieeexplore.ieee.org/document/9093005/
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