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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Little Lion Scientific
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/107031/ http://psasir.upm.edu.my/id/eprint/107031/1/Class%20imbalance%20learning%20with%20CostSensitiveACGAN.pdf |