References

• 2014Credit scoring using the clustered support vector machine269 cited
• 2013Consumer credit risk: Individual probability estimates using machine learning196 cited
• 2016Technology credit scoring model with fuzzy logistic regression155 cited
• 2017Reject inference in credit scoring using Semi-supervised Support Vector Machines132 cited
• 2020Three-stage reject inference learning framework for credit scoring using unsupervised transfer learning and three-way decision theory120 cited
• 2018Dynamic ensemble classification for credit scoring using soft probability118 cited
• 2007Reject inference, augmentation, and sample selection81 cited
• 2004Does reject inference really improve the performance of application scoring models?70 cited
• 2018A new approach for reject inference in credit scoring using kernel-free fuzzy quadratic surface support vector machines63 cited
• 2018Classifier selection and clustering with fuzzy assignment in ensemble model for credit scoring55 cited
• 2020Deep generative models for reject inference in credit scoring53 cited
• 2020A two-stage fuzzy neural approach for credit risk assessment in a Brazilian credit card company50 cited
• 2018A rejection inference technique based on contrastive pessimistic likelihood estimation for P2P lending48 cited
• 2012Reject inference in consumer credit scoring with nonignorable missing data