References

• 2017A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring770 cited
• 2007Using neural network ensembles for bankruptcy prediction and credit scoring514 cited
• 2021Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects438 cited
• 2004Mining the customer credit using classification and regression tree and multivariate adaptive regression splines378 cited
• 2014Credit scoring using the clustered support vector machine269 cited
• 2016A comparative study on base classifiers in ensemble methods for credit scoring248 cited
• 2014Investigation and improvement of multi-layer perceptron neural networks for credit scoring230 cited
• 2017A novel heterogeneous ensemble credit scoring model based on bstacking approach214 cited
• 2016A deep learning approach for credit scoring using credit default swaps196 cited
• 2015A hybrid data mining model of feature selection algorithms and ensemble learning classifiers for credit scoring178 cited
• 2019Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring176 cited
• 2016A new hybrid ensemble credit scoring model based on classifiers consensus system approach161 cited
• 2016Technology credit scoring model with fuzzy logistic regression155 cited
• 2019