RABEM: risk-adaptive Bayesian ensemble model for fraud detection. [PDF]
Almarshad FA +3 more
europepmc +1 more source
Reinforcement learning with graph neural network (RL-GNN) fusion for real-time financial fraud detection: a context-aware community mining approach. [PDF]
Devi RR, Raja JE, Chin YB.
europepmc +1 more source
Detecting automobile insurance fraud using a novel penalty-driven feature selection method with particle swarm optimization and machine learning classifiers. [PDF]
Özaltın Ö, Erdemir ÖK.
europepmc +1 more source
Optimizing imbalanced learning with genetic algorithm. [PDF]
Safder MU +4 more
europepmc +1 more source
Insurance claims estimation and fraud detection with optimized deep learning techniques. [PDF]
Anand Kumar P, Sountharrajan S.
europepmc +1 more source
Intelligent approach to detecting online fraudulent trading with solution for imbalanced data in fintech forensics. [PDF]
Darwish SM, Salama AI, Elzoghabi AA.
europepmc +1 more source
Innovative novel regularized memory graph attention capsule network for financial fraud detection. [PDF]
Shi X +5 more
europepmc +1 more source
openaire +1 more source
IPP-DMS: A scalable privacy-preserving data management system for secure and efficient handling of large-scale datasets. [PDF]
Pragya +5 more
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Enhancing Privacy in IoT-Enabled Digital Infrastructure: Evaluating Federated Learning for Intrusion and Fraud Detection. [PDF]
Deshmukh A +3 more
europepmc +1 more source

