Results 201 to 210 of about 4,440,100 (389)

Tackling fraud detection with an enhanced Kepler optimization and ghost opposition-based learning. [PDF]

Front Artif Intell
Egami RH, Abd El-Mageed AA, Gafar M, Abohany AA.   +3 more
europepmc   +1 more source

Insurance Claims Fraud Detection Based on Machine Learning [PDF]

Igor Kotenko, Ghina Özdemir, Mhd. Wasim Raed, İlham Hüseyinov, Elena Doynikova, Rafet Akdeniz   +5 more
openalex   +1 more source

Lifecycle‐Based Governance to Build Reliable Ethical AI Systems

Systems Research and Behavioral Science, EarlyView.
ABSTRACT Artificial intelligence (AI) systems represent a paradigm shift in technological capabilities, offering transformative potential across industries while introducing novel governance and implementation challenges. This paper presents a comprehensive framework for understanding AI systems through three critical dimensions: trustworthiness ...
Maikel Leon
wiley   +1 more source

RABEM: risk-adaptive Bayesian ensemble model for fraud detection. [PDF]

Sci Rep
Almarshad FA, Zakariah M, Gashgari GA, Vaiyapuri T.   +3 more
europepmc   +1 more source

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection [PDF]

Sheng Zhang, Liangliang Song, Yanbin Wang   +2 more
openalex   +1 more source

Impact of Anti-Fraud Awareness, Fraud Detection Procedures, and Technology to Fraud Detection Skill

, 2023
Emma Saur Nauli Sipayung, Harti Budi Yanti, Anggara Bayu Setya   +2 more
openaire   +1 more source

Normalizing the Shamed Self: Stigma, Neutralization and “Narrative Credibility” in Interviews on White‐Collar Transgression

Symbolic Interaction, EarlyView.
In this article, I analyze my interviews with Mark (pseudonym), a social scientist who committed major academic fraud in over 50 top‐tier journal articles in the first decade of this century. I explain how stigma played a central role in how Mark and I shaped our interaction. I focus on how Mark, a former Professor and Dean with a distinguished career,
Thaddeus Müller
wiley   +1 more source

Retraction Note: Optimizing credit card fraud detection with random forests and SMOTE. [PDF]

Sci Rep
Sundaravadivel P, Isaac RA, Elangovan D, KrishnaRaj D, Rahul VVL, Raja R.   +5 more
europepmc   +1 more source

The Future of Banking Fraud Detection: Emerging IT Technologies and Trends [PDF]

Sadia Sharmin, Mohammad Shofiqul Islam Chowdhury   +1 more
openalex   +1 more source

“Bad Things Happen in Philadelphia”: Managing Stigma and Threats in the Wake of False Criminal Accusations

Symbolic Interaction, EarlyView.
In the aftermath of the 2020 U.S. election, the boundary between activism and extremism blurred, with election officials reporting violent threats and false accusations of election fraud. From a symbolic interactionist perspective, these attacks provide a unique lens for examining the consequences of being falsely labeled a criminal.
Steven Windisch
wiley   +1 more source