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2. Credit scoring of micro and small entrepreneurial firms in China. (2021). Li, Zewei ; Fang, Kuangnan ; Xu, Hechao ; Zheng, Chenlu ; Wang, Chengbin.
   In: International Entrepreneurship and Management Journal.
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3. Machine Learning or Econometrics for Credit Scoring: Lets Get the Best of Both Worlds. (2021). Hué, Sullivan ; Dumitrescu, Elena Ivona ; Hurlin, Christophe ; Hue, Sullivan ; Tokpavi, Sessi.
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4. Predicting mortgage early delinquency with machine learning methods. (2021). Guo, Zhengfeng ; Zhao, Xinlei ; Chen, Shunqin.
   In: European Journal of Operational Research.
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5. A kernel-free double well potential support vector machine with applications. (2021). Gao, Zheming ; Fang, Shu-Cherng ; Medhin, Negash ; Luo, Jian.
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6. Modelling Sovereign Credit Ratings: Evaluating the Accuracy and Driving Factors using Machine Learning Techniques. (2021). van der Wel, Michel.
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7. A Hybrid Bi-level Metaheuristic for Credit Scoring. (2020). Yildirim, Umman Mahir ; En, Doruk ; Donmez, Cem Ari.
   In: Information Systems Frontiers.
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8. Machine Learning or Econometrics for Credit Scoring: Let’s Get the Best of Both Worlds. (2020). Hué, Sullivan ; Dumitrescu, Elena Ivona ; Hurlin, Christophe ; Hue, Sullivan ; Tokpavi, Sessi.
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9. Predicting loss given default in leasing: A closer look at models and variable selection. (2020). Loderbusch, Matthias ; Kriebel, Johannes ; Kaposty, Florian.
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10. Best classification algorithms in peer-to-peer lending. (2020). Teply, Petr ; Polena, Michal.
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11. iConViz: Interactive Visual Exploration of the Default Contagion Risk of Networked-Guarantee Loans. (2020). Niu, Zhibin ; Li, Runlin ; Wu, Junqi ; Zhang, Jiawan ; Cheng, Dawei.
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12. Estimation Procedures of Using Five Alternative Machine Learning Methods for Predicting Credit Card Default. (2019). Lee, Michael ; Teng, Huei-Wen.
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13. Conversion Uplift in E-Commerce: A Systematic Benchmark of Modeling Strategies. (2019). Lessmann, Stefan ; Gubela, Robin ; Gebert, Fabian ; Beque, Artem.
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14. EXTREME GRADIENT BOOSTING METHOD IN THE PREDICTION OF COMPANY BANKRUPTCY. (2019). Paweek, Barbara.
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15. EXTREME GRADIENT BOOSTING METHOD IN THE PREDICTION OF COMPANY BANKRUPTCY. (2019). Paweek, Barbara.
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16. The naive Bayes classifier for functional data. (2019). Zhang, Yi-Chen ; Sakhanenko, Lyudmila.
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17. A prediction-driven mixture cure model and its application in credit scoring. (2019). Wang, Zhao ; Zhao, Huimin ; Jiang, Cuiqing.
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18. A new approach for credit scoring by directly maximizing the Kolmogorov–Smirnov statistic. (2019). Chen, Yuanyuan ; Fang, Fang.
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19. Corporate default forecasting with machine learning. (2019). PARLAPIANO, FABIO ; Moscatelli, Mirko ; Narizzano, Simone ; Viggiano, Gianluca.
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20. Predicting credit default probabilities using machine learning techniques in the face of unequal class distributions. (2019). Stelzer, Anna.
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21. Conversion uplift in e-commerce: A systematic benchmark of modeling strategies. (2018). Gebert, Fabian ; Beque, Artem ; Lessmann, Stefan ; Gubela, Robin.
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23. Predicting Corporate Failure: The GRASP-LOGIT Model || Predicci—n de la quiebra empresarial: el modelo GRASP-LOGIT. (2018). Nuñez Letamendia, Laura ; Yusta, Silvia Casado ; Laura, Laura Author-Email ; Author-Email, Joaquin Antonio.
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49. Credit scoring of micro and small entrepreneurial firms in China. (). Li, Zewei ; Fang, Kuangnan ; Xu, Hechao ; Zheng, Chenlu ; Wang, Chengbin.
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50. A Hybrid Bi-level Metaheuristic for Credit Scoring. (). Yildirim, Umman Mahir ; En, Doruk ; Donmez, Cem Ari.
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