Cybersecurity enhancement to detect credit card frauds in health care using new machine learning strategies

A Neural Network Ensemble With Feature Engineering for Improved Credit Card Fraud Detection

(2022) Ebenezer Esenogho et al.   IEEE Access

Enhanced Credit Card Fraud Detection Model Using Machine Learning

(2022) Noor Saleh Alfaiz et al.   Electronics

Credit Card Fraud Detection Using a New Hybrid Machine Learning Architecture

(2022) Esraa Faisal Malik et al.   Mathematics

High-Cardinality Categorical Attributes and Credit Card Fraud Detection

(2022) Emanuel Mineda Carneiro et al.   Mathematics

Predicting Fraud in Financial Payment Services through Optimized Hyper-Parameter-Tuned XGBoost Model

(2022) Surjeet Dalal et al.   Mathematics

A hybrid method with dynamic weighted entropy for handling the problem of class imbalance with overlap in credit card fraud detection

(2021) Zhenchuan Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Design and analysis of an efficient machine learning based hybrid recommendation system with enhanced density-based spatial clustering for digital e-learning applications

(2021) S. Bhaskaran et al.   Complex & Intelligent Systems

Machine Learning Based on Resampling Approaches and Deep Reinforcement Learning for Credit Card Fraud Detection Systems

(2021) Tran Khanh Dang et al.   Applied Sciences-Basel

Credit Card Fraud Detection with Autoencoder and Probabilistic Random Forest

(2021) Tzu-Hsuan Lin et al.   Mathematics

Complexity Analysis and Stochastic Convergence of Some Well-known Evolutionary Operators for Solving Graph Coloring Problem

(2020) Raja Marappan et al.   Mathematics

Machine Learning and Big Data in the Impact Literature. A Bibliometric Review with Scientific Mapping in Web of Science

(2020) Jesús López Belmonte et al.   Symmetry-Basel