Fraud detection and explanation in medical claims using GNN architectures. [PDF]
Muhammad R +6 more
europepmc +1 more source
Tackling fraud detection with an enhanced Kepler optimization and ghost opposition-based learning. [PDF]
Egami RH +3 more
europepmc +1 more source
RABEM: risk-adaptive Bayesian ensemble model for fraud detection. [PDF]
Almarshad FA +3 more
europepmc +1 more source
Boundary-aware dual-discriminator generative adversarial network for data augmentation in financial transaction fraud detection. [PDF]
Zhu H, Wang Z, Xie Y, Yao J.
europepmc +1 more source
Retraction Note: Optimizing credit card fraud detection with random forests and SMOTE. [PDF]
Sundaravadivel P +5 more
europepmc +1 more source
Online Payment Fraud Detection
This research explores innovative approaches to detecting fraudulent transactions by leveraging advanced machine learning algorithms and data analytics techniques. By analyzing real-world transaction datasets, the study aims to identify behavioral patterns and anomalies indicative of fraud.
openaire +1 more source
Customs fraud detection using a gradient boosting approach for joint classification and risk estimation. [PDF]
Alwanin R, Ismail MMB, Bchir O.
europepmc +1 more source
This study aims to discover how the Indonesian Local Government Rural Bank improves the quality of the anti-fraud team to prevent and detect fraud based on a mechanism of the anti-fraud strategy issued by Bank Indonesia.
Kharisma Fatmalina Fajri +1 more
doaj
A Privacy-Preserving Approach to Health Insurance Fraud Detection Using Vertical Federated Learning. [PDF]
R RK +3 more
europepmc +1 more source
Coupled modular simplicial graph neural network with snow ablation optimization for real-time fraud detection in payment systems. [PDF]
Ramoju VCS +4 more
europepmc +1 more source

