A New GAN-based data augmentation method for Handling Class Imbalance in Credit Card Fraud detection

E Strelcenia, S Prakoonwit - 2023 10th International …, 2023 - ieeexplore.ieee.org
One of the most common cybercrimes that people encounter is credit card fraud. Systems for
identifying fraudulent transactions that are based on intelligent machine learning are …

[HTML][HTML] An ensemble classification approach for cervical cancer prediction using behavioral risk factors

MS Ali, MM Hossain, MA Kona, KR Nowrin… - Healthcare Analytics, 2024 - Elsevier
Cervical cancer is a significant public health concern among females worldwide. Despite
being preventable, it remains a leading cause of mortality. Early detection is crucial for …

Bsgan: A novel oversampling technique for imbalanced pattern recognitions

MM Ahsan, S Raman, Z Siddique - arXiv preprint arXiv:2305.09777, 2023 - arxiv.org
Class imbalanced problems (CIP) are one of the potential challenges in developing
unbiased Machine Learning (ML) models for predictions. CIP occurs when data samples are …

[PDF][PDF] Healthcare Analytics

MS Ali, MM Hossain, MA Kona, KR Nowrin, MK Islam - researchgate.net
Cervical cancer is a significant public health concern among females worldwide. Despite
being preventable, it remains a leading cause of mortality. Early detection is crucial for …

A real-time smoke early warning method based on spark and improved random forest

B Wang, J Zheng - 2022 4th International Conference on …, 2022 - ieeexplore.ieee.org
In order to control and prevent fires in advance and effectively reduce the adverse effects of
fires, this paper proposes a smoke early warning method based on spark and an improved …