Enhancing supply chain security with automated machine learning
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- Yang Bao & Bin Ke & Bin Li & Y. Julia Yu & Jie Zhang, 2020. "Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach," Journal of Accounting Research, Wiley Blackwell, vol. 58(1), pages 199-235, March.
- Michaela Fox & Mike Mitchell & Moira Dean & Christopher Elliott & Katrina Campbell, 2018. "The seafood supply chain from a fraudulent perspective," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(4), pages 939-963, August.
- Ying Liu & Lihua Huang, 2020. "Supply chain finance credit risk assessment using support vector machine–based ensemble improved with noise elimination," International Journal of Distributed Sensor Networks, , vol. 16(1), pages 15501477209, January.
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This paper has been announced in the following NEP Reports:- NEP-BIG-2024-07-22 (Big Data)
- NEP-CMP-2024-07-22 (Computational Economics)
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