Class imbalance learning with CostSensitiveACGAN

The class imbalance problem has been recognized in many real-world applications and negatively affects machine learning performance. Generative Adversarial Networks or GANs have been known to be the next best thing in image generation. However, most GANs do not consider classes and when they do, can...

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Bibliographic Details
Main Authors: Abdul Halim, Athirah Hazwani, Manshor, Noridayu, Husin, Nor Azura
Format: Article
Language:English
Published: Little Lion Scientific 2023
Online Access:http://psasir.upm.edu.my/id/eprint/107031/1/Class%20imbalance%20learning%20with%20CostSensitiveACGAN.pdf
http://psasir.upm.edu.my/id/eprint/107031/
https://www.jatit.org/volumes/Vol101No12/19Vol101No12.pdf
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Institution: Universiti Putra Malaysia
Language: English