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Learning from machine learning in accounting and assurance
Cho, Soohyun; Vasarhelyi, Miklos A.; Sun, Ting; Zhang, … - In: Journal of emerging technologies in Accounting 17 (2020) 1, pp. 1-10
Persistent link: https://www.econbiz.de/10012419424
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Predicting credit card delinquencies : an application of deep neural networks
Sun, Ting; Vasarhelyi, Miklos A. - In: Intelligent systems in accounting finance and … 25 (2018) 4, pp. 174-189
Persistent link: https://www.econbiz.de/10012035532
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The forthcoming data ecosystem for business measurement and assurance
Cho, Soohyun; Vasarhelyi, Miklos A.; Zhang, Chanyuan - In: Journal of emerging technologies in Accounting 16 (2019) 2, pp. 1-21
Persistent link: https://www.econbiz.de/10012416666
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It's not intelligence : it's functionality! : editorial
Gu, Yu; Huang, Qing; Vasarhelyi, Miklos A. - In: Journal of emerging technologies in Accounting 21 (2024) 2, pp. 9-18
Persistent link: https://www.econbiz.de/10015083510
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Measuring audit quality with surprise scores : evidence from China and the U.S.
Hu, Hanxin; Sun, Ting; Vasarhelyi, Miklos A.; Zhang, Min - In: The journal of information systems : JIS ; a semiannual … 38 (2024) 2, pp. 51-78
Persistent link: https://www.econbiz.de/10014633220
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Outlier detection in auditing : integrating unsupervised learning within a multilevel framework for general ledger analysis
Wei, Danyang; Cho, Soohyun; Vasarhelyi, Miklos A.; … - In: The journal of information systems : JIS ; a semiannual … 38 (2024) 2, pp. 123-142
Persistent link: https://www.econbiz.de/10014633223