Results 71 to 80 of about 15,477 (161)

Multilevel risk factors for financial fraud in later life: evidence from China. [PDF]

Innov Aging
Hu T, Andrade FCD, Chen YC.
europepmc   +1 more source

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

Financial Fraud, Mental Health, and Quality of Life: A Study on the Population of the City of Madrid, Spain. [PDF]

Int J Environ Res Public Health, 2019
Sarriá E, Recio P, Rico A, Díaz-Olalla M, Sanz-Barbero B, Ayala A, Zunzunegui MV.   +6 more
europepmc   +1 more source

Mental health and psychosocial sequelae of fraud victimization: a systematic review. [PDF]

Front Psychol
Bai J, Ho MH, Sung HT, Hung CS, Tsai JH.
europepmc   +1 more source

PROTOCOL: Financial Literacy Programmes for the Ageing Population: An Evidence and Gap Map. [PDF]

Campbell Syst Rev
Fernandes C, Silva I, Gomes I.
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