Results 251 to 260 of about 83,310 (315)

Exponentially increasing competition is exposing flaws in the current system of selection for specialty training. [PDF]

Future Healthc J
Aveyard B, Asbridge S.
europepmc   +1 more source

Insurance claims estimation and fraud detection with optimized deep learning techniques. [PDF]

Sci Rep
Anand Kumar P, Sountharrajan S.
europepmc   +1 more source

Enhancing Financial Fraud Detection Through Chimp-Optimized Long Short-Term Memory Networks

T. Karthikeyan, M. Govindarajan, Veeramani Vijayakumar   +2 more
openalex   +2 more sources

Flagged for Fraud: Lessons From 3 Case Studies on Detecting Inauthentic Participants in Online Research.

J Med Internet Res
Hill JR, Hoel S, Caldwell C, Zuraw M, Elliott C, Pickett AC, Fields BE, Werner NE.   +7 more
europepmc   +1 more source

Lessons Learned Identifying and Controlling Fraudulent Participation in Online Randomized Trials.

J Med Internet Res
Siebers R, Magane KM, Slayton H, Karzhevsky S, Palfai TP, Abrantes AM, Quintiliani LM, Stein MD.   +7 more
europepmc   +1 more source

Fraud Cycles [PDF]

SSRN Electronic Journal, 2011
Fraud is an ancient crime and one that annually causes hundreds of billions of dollars in losses. We develop an evolutionary theory that suggests cyclical behavior in frauds should be common. We perform a wavelet analysis of the frequencies of fraudulent and nonfraudulent offenses.
Gong, Jiong, McAfee, R. Preston, Williams, Michael   +2 more
openaire   +2 more sources