Results 131 to 140 of about 5,725,522 (200)

Quantum computing in finance: a literature review and future directions for trustworthy financial AI. [PDF]

Front Artif Intell
Muzzioli S, Raheem F, Ferrara M, Giudici P, Siciliano R.   +4 more
europepmc   +1 more source

GNN's for financial fraud detection

Financial fraud, including stolen-card use, identity theft, fake loan applications, and organised group fraud, causes large economic losses and weakens trust in digital financial services. Detectors that score each transaction or customer independently miss the relationships through which fraudsters operate: shared phone numbers, addresses, devices ...
openaire   +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

Perspective: The challenge of fraudulent participation in online nursing research. [PDF]

J Res Nurs
Simanovski J, Ralph J, Crawley J, Mashiana H, Pandey S, Cruz E.   +5 more
europepmc   +1 more source

Biotechnological approaches for food frauds and rapid detection methods as preventive measures: a global perspective", with a special emphasis on microfluidics. [PDF]

Food Chem X
Chhetri PO, Gupta MK, Awasthi M, Balodi V, Hooda A, Dhivya S, Pancholy N, Rai HK, Tripathi AD, Agarwal A.   +9 more
europepmc   +1 more source

Digital Deception: Survey Bots and the Ethics of Data Integrity. [PDF]

Ethics Hum Res
Frank-Ito W, Eldridge LA, Matthews J.
europepmc   +1 more source

A Taxonomic Framework Based on Machine Learning for Unsupervised Anomaly Detection in Healthcare Data. [PDF]

Healthcare (Basel)
Schneider GA, Lima Júnior MLF, de Souza DL, Valladares DRF, Batista MHJ, Korzenowski AL.   +5 more
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

Conservative plausibility-filtered SMOTE for credit card fraud detection under extreme class imbalance. [PDF]

Front Artif Intell
Becerra-Suarez FL, Arones-Perez PP, Zamora-Del-Aguila FF, Forero MG.   +3 more
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