CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems

S Suh, H Lee, P Lukowicz, YO Lee - Neural Networks, 2021 - Elsevier
The data imbalance problem in classification is a frequent but challenging task. In real-world
datasets, numerous class distributions are imbalanced and the classification result under …
被引用次数：89 相关文章

CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems

S Suh, H Lee, P Lukowicz… - Neural networks: the …, 2021 - pubmed.ncbi.nlm.nih.gov
The data imbalance problem in classification is a frequent but challenging task. In real-world
datasets, numerous class distributions are imbalanced and the classification result under …

CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems.

S Suh, H Lee, P Lukowicz, YO Lee - Neural Networks: the Official …, 2020 - europepmc.org
The data imbalance problem in classification is a frequent but challenging task. In real-world
datasets, numerous class distributions are imbalanced and the classification result under …