Items where Author is "Nguyen, Truong V."
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Credit Risk Forecasting
Zhu, You, Zhou, Li ORCID: 0000-0001-7132-5935 , Xie, Chi, Wang, Gang-Jin and Nguyen, Truong V. (2019) Forecasting SMEs’ credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach. International Journal of Production Economics, 211. pp. 22-33. ISSN 0925-5273 (doi:https://doi.org/10.1016/j.ijpe.2019.01.032)
Machine Learning
Zhu, You, Zhou, Li ORCID: 0000-0001-7132-5935 , Xie, Chi, Wang, Gang-Jin and Nguyen, Truong V. (2019) Forecasting SMEs’ credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach. International Journal of Production Economics, 211. pp. 22-33. ISSN 0925-5273 (doi:https://doi.org/10.1016/j.ijpe.2019.01.032)
Partial Dependency Plot
Zhu, You, Zhou, Li ORCID: 0000-0001-7132-5935 , Xie, Chi, Wang, Gang-Jin and Nguyen, Truong V. (2019) Forecasting SMEs’ credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach. International Journal of Production Economics, 211. pp. 22-33. ISSN 0925-5273 (doi:https://doi.org/10.1016/j.ijpe.2019.01.032)
RS-MultiBoosting
Zhu, You, Zhou, Li ORCID: 0000-0001-7132-5935 , Xie, Chi, Wang, Gang-Jin and Nguyen, Truong V. (2019) Forecasting SMEs’ credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach. International Journal of Production Economics, 211. pp. 22-33. ISSN 0925-5273 (doi:https://doi.org/10.1016/j.ijpe.2019.01.032)
Small and Medium-sized Enterprises
Zhu, You, Zhou, Li ORCID: 0000-0001-7132-5935 , Xie, Chi, Wang, Gang-Jin and Nguyen, Truong V. (2019) Forecasting SMEs’ credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach. International Journal of Production Economics, 211. pp. 22-33. ISSN 0925-5273 (doi:https://doi.org/10.1016/j.ijpe.2019.01.032)
Supply Chain Finance
Zhu, You, Zhou, Li ORCID: 0000-0001-7132-5935 , Xie, Chi, Wang, Gang-Jin and Nguyen, Truong V. (2019) Forecasting SMEs’ credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach. International Journal of Production Economics, 211. pp. 22-33. ISSN 0925-5273 (doi:https://doi.org/10.1016/j.ijpe.2019.01.032)