Interpretable high-stakes decision support system for credit default forecasting

Author:

Sun Weixin,Zhang Xuantao,Li Minghao,Wang Yong

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Applied Psychology,Business and International Management

Reference49 articles.

1. Would two-stage scoring models alleviate bank exposure to bad debt?;Abdou;Expert Syst. Appl.,2019

2. Credit default prediction using a support vector machine and a probabilistic neural network;Abedin;J. Credit Risk,2018

3. Topological applications of multilayer perceptrons and support vector machines in financial decision support systems;Abedin;Int. J. Financ. Econ.,2019

4. Combining weighted SMOTE with ensemble learning for the class-imbalanced prediction of small business credit risk;Abedin;Complex Intell. Syst.,2022

5. An investigation of credit card default prediction in the imbalanced datasets;Alam;IEEE Access,2020

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