Results 71 to 80 of about 5,553 (160)

Financial fraud detection model based on risk weight aggregation federated learning

网络与信息安全学报
Financial fraud had caused significant losses to financial institutions and consumers, making the rapid, effective, and accurate identification and prevention of financial fraud a widely concerned issue.
SUN Yuanlin, WANG Nan, ZHANG Tao, LIU Juan, ZHAO Qinxin   +4 more
doaj  

Innovative novel regularized memory graph attention capsule network for financial fraud detection. [PDF]

PLoS One
Shi X, Wang X, Zhang Y, Zhang X, Yu M, Zhang L.   +5 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]

Sci Rep
Devi RR, Raja JE, Chin YB.
europepmc   +1 more source

Research on a financial fraud identification model by fusing a convolutional neural network. [PDF]

PLoS One
Lu H, Zhu S, Zhang Y, Lv R.
europepmc   +1 more source

Applying explainable artificial intelligence to interpret supervised ensemble learning models for robust credit card fraud detection. [PDF]

Sci Rep
Awad SS, Hamza AA, Sobh MA, Bahaa-Eldin AM.   +3 more
europepmc   +1 more source

Applying supervised machine learning algorithms and ensemble models to enhance credit card fraud detection. [PDF]

Front Artif Intell
Al-Bulushi A, Shaikh AK, Adhikari N.
europepmc   +1 more source

A systematic review and future directions for AI-driven detection of fraud patterns in SACCO transactions. [PDF]

Front Artif Intell
Ampumuza D, Katushabe C, Tamale M.
europepmc   +1 more source

Boundary-aware dual-discriminator generative adversarial network for data augmentation in financial transaction fraud detection. [PDF]

PLoS One
Zhu H, Wang Z, Xie Y, Yao J.
europepmc   +1 more source

Coupled modular simplicial graph neural network with snow ablation optimization for real-time fraud detection in payment systems. [PDF]

Sci Rep
Ramoju VCS, Biswal S, Kotecha K, Pandurangan KP, Parashar N.   +4 more
europepmc   +1 more source

Applying Simulation to the Problem of Detecting Financial Fraud.

, 2016
This thesis introduces a financial simulation model covering two related financial domains: Mobile Payments and Retail Stores systems.   The problem we address in these domains is different types of fraud. We limit ourselves to isolated cases of relatively straightforward fraud.
openaire   +2 more sources