MDIASE-Autoencoder: A Novel Anomaly Detection Method for Increasing The Performance of Credit Card Fraud Detection Models
AG Putrada, NG Ramadhan - 2023 29th International …, 2023 - ieeexplore.ieee.org
Machine learning has presented diverse solutions for identifying credit card fraud by
analyzing datasets with anonymous transactions. However, an unexplored avenue lies in …
analyzing datasets with anonymous transactions. However, an unexplored avenue lies in …
Meme kanseri tahmininde makine öğrenmesi algoritmaları ve AutoML
A Karakaya - 2024 - gcris.pau.edu.tr
Makine öğrenmesi tıp dahil olmak üzere birçok alanda önemli rol oynamaktadır. Özellikle
sağlık alanında makine öğrenmesi çeşitli hastalıkların teşhis ve tedavisine yardımcı olan …
sağlık alanında makine öğrenmesi çeşitli hastalıkların teşhis ve tedavisine yardımcı olan …
Analysis of Artificial Intelligence based Credit and Savings Associations for Investment decisions financial System
MS Kumar, S Venkatachalam - 2023 2nd International …, 2023 - ieeexplore.ieee.org
This research study analyzes the effectiveness of two ROSCA modifications that have the
potential to improve community resilience using computational tools and dynamical systems …
potential to improve community resilience using computational tools and dynamical systems …
Enhancing Credit Card Application Approval through Data Scaling in Machine Learning Algorithms
R Sekar, C Columbus - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
In today's fast-paced world, financial transactions have undergone a remarkable
transformation, and at the forefront of this revolution stand the credit card. Over the past few …
transformation, and at the forefront of this revolution stand the credit card. Over the past few …