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Source:
Bhattacharya , I 2023 , ' Advancing the power of machine learning in financial decision-making : Anomaly detection, fraud identification, and earnings forecasting ' ,
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Source:
Fratrič , P , Klous , S & van Engers , T 2023 , Using a Model of Fraudulent Trader for Fraud Detection . in G Sileno , N Lettieri & C Becker (eds) , Proceedings of the
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den Dulk , A 2023 , ' “My Whole Life I’ve Been a Fraud”: Resisting Excessive (Self-)Critique and Reaffirming Authenticity as Communal in David Foster Wallace’s
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Fratrič , P , Sileno , G , van Engers , T & Klous , S 2022 , A Compression and Simulation-Based Approach to Fraud Discovery . in E Francesconi , G Borges & C Sorge
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Daxecker , U , Di Salvatore , J & Ruggeri , A 2019 , ' Fraud Is What People Make of It: Election Fraud, Perceived
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Karp , J A , Nai , A & Norris , P 2018 , ' Dial ‘F’ for fraud: Explaining citizens suspicions about elections ' , Electoral Studies , vol. 53 , pp. 11-19 .
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Mitrokotsa , A , Dimitrakakis , C , Peris-Lopez , P & Hernandez-Castro , J C 2010 , ' Reid et al.'s distance bounding protocol and mafia fraud attacks over noisy
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IEEE Communications Letters (10897798) vol.14 (2010) nr.2 p.121-123
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Kapons , M , Kelly , P , Stoumbos , R & Zambrana , R 2023 , ' Dividends, trust, and firm value ' , Review of Accounting Studies , vol. 28 , no. 3 , pp. 1354-1387 .
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Konaté , S & Pali , B 2023 , ' “You have to talk with us, not about us”: Exploring the harms of wrongful accusation on those affected in the case of the Dutch ‘childcare-benefit scandal’ ' ,
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