Results 21 to 30 of about 274,113 (349)
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection [PDF]
The Web Conference, 2023 As various forms of fraud proliferate on Ethereum, it is imperative to safeguard against these malicious activities to protect susceptible users from being victimized.
Si-Hao Hu +5 more
semanticscholar +1 more source
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters [PDF]
International Conference on Information and Knowledge Management, 2020 Graph Neural Networks (GNNs) have been widely applied to fraud detection problems in recent years, revealing the suspiciousness of nodes by aggregating their neighborhood information via different relations.
Yingtong Dou +5 more
semanticscholar +1 more source
Research Integrity and Peer Review, 2019 Background Implementing responsible conduct of research and monitoring bad practices requires time and tact. In France, it was in 2015 that the wishes of those in charge of research proposed the appointment of research integrity officers (RIOs) in all ...
Hervé Maisonneuve
doaj +1 more source
How contemporary theory informs lie detection accuracy and bias
Crime, Security and Society, 2019 Lie detection research has reached a stage where theory building is possible. We believe practitioners should contribute to theory as it is being developed.
Chris Street +2 more
doaj +2 more sources
Who Is Next? A Study on Victims of Financial Fraud in Japan
Frontiers in Psychology, 2021 Japan has seen an increase in the incidents of financial frauds over the last couple of decades. Although authorities are aware of the problem, an effective solution eludes them as fraudsters use innovative swindling methods and continually change the ...
Yoshihiko Kadoya +3 more
doaj +1 more source
Financial Fraud Detection Based on Machine Learning: A Systematic Literature Review
Applied Sciences, 2022 Financial fraud, considered as deceptive tactics for gaining financial benefits, has recently become a widespread menace in companies and organizations. Conventional techniques such as manual verifications and inspections are imprecise, costly, and time ...
Abdulalem Ali +8 more
semanticscholar +1 more source
Graph neural networks for financial fraud detection: a review [PDF]
Frontiers of Computer ScienceThe landscape of financial transactions has grown increasingly complex due to the expansion of global economic integration and advancements in information technology.
Dawei Cheng +3 more
semanticscholar +1 more source
MODEL PENDETEKSIAN KECURANGAN LAPORAN KEUANGAN OLEH AUDITOR SPESIALIS INDUSTRI DENGAN ANALISIS FRAUD TRIANGLE [PDF]
Jurnal Akuntansi Multiparadigma, 2016 Abstrak: Model Pendeteksian Kecurangan Laporan Keuangan dengan Analisis Fraud Triangle. Penelitian ini bertujuan untuk membuat model dalam mendeteksi kecurangan laporan keuangan.
Reskino, Muhammad Fakhri Anshori
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A machine learning based credit card fraud detection using the GA algorithm for feature selection
Journal of Big Data, 2022 The recent advances of e-commerce and e-payment systems have sparked an increase in financial fraud cases such as credit card fraud. It is therefore crucial to implement mechanisms that can detect the credit card fraud.
Emmanuel Ileberi +2 more
semanticscholar +1 more source