Hybrid oversampling technique for imbalanced pattern recognition: Enhancing performance with Borderline Synthetic Minority oversampling and Generative Adversarial Networks

Class imbalance problems (CIP) are one of the potential challenges in developing unbiased Machine Learning models for predictions. CIP occurs when data samples are not equally distributed between two or multiple classes. Several synthetic oversampling techniques have been introduced to balance the i...

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Автори:	Md Manjurul Ahsan, Shivakumar Raman, Yingtao Liu, Zahed Siddique
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Elsevier 2025-06-01
Серія:	Machine Learning with Applications
Предмети:	Imbalanced class Generative Adversarial Networks Synthetic Minority Oversampling Technique Borderline Synthetic Minority oversampling Machine learning Oversampling
Онлайн доступ:	http://www.sciencedirect.com/science/article/pii/S2666827025000209
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