With millions of transactions taking place, it is practically impossible to detect frauds manually with good speed and accuracy. We propose a system that provides a robust, cost effective, …

Credit Card Fraud Detection Using Deep Learning Abstract: This paper discusses a method in the fraud detection interface area. The approach proposed is to use imbalanced highly skewed …

3 days ago · Traditional machine learning models often prioritize predictive accuracy, often at the expense of model transparency and interpretability. The lack of transparency makes it difficult …

Detect payment transaction fraud using feature engineering and traditional and deep Machine Learning models.

Dec 26, 2022 · In this study, we consider the use of class weight-tuning hyperparameters to control the weight of fraudulent and legitimate transactions. We use Bayesian optimization in …

Sep 21, 2023 · The use of real-time monitoring systems and machine learning algorithms to improve fraud detection and prevention in financial transactions is explored in this research study.

Thereby developing a robust and accurate system that can identify and prevent fraudulent activities in online payment transaction. In order to achieve this we selected some strong and …

2 days ago · Although deep learning models are known to perform well in identifying sophisticated fraud patterns, their limited interpretability still presents a serious challenge [].To address the …

3 days ago · Traditional machine learning models often prioritize predictive accuracy, often at the expense of model transparency and interpretability. ... The IEEE-CIS Fraud Detection dataset, …

Dec 21, 2022 · Machine-learning-based technologies can now be used intelligently to identify fraudulent transactions by examining a significant amount of financial data, thanks to the …