Credit scoring by leveraging an ensemble stochastic criterion in a transformed feature space
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s13748-021-00246-2.pdf
Reference70 articles.
1. Ab Raub, R., Hamzah, A.H.N., Jaafar, M.D., Baharim, K.N.: Using subscriber usage profile risk score to improve accuracy of telecommunication fraud detection. In: 2016 International Conference on Computational Intelligence and Cybernetics, pp. 127–131. IEEE (2016)
2. Abellán, J., Castellano, J.G.: A comparative study on base classifiers in ensemble methods for credit scoring. Expert Syst. Appl. 73, 1–10 (2017)
3. Ala’raj, M., Abbod, M.F.: Classifiers consensus system approach for credit scoring. Knowl.-Based Syst. 104, 89–105 (2016)
4. Arora, N., Kaur, P.D.: A bolasso based consistent feature selection enabled random forest classification algorithm: an application to credit risk assessment. Appl. Soft Comput. 86, 105936 (2020)
5. Babaev, D., Savchenko, M., Tuzhilin, A., Umerenkov, D.: E.t.-rnn: Applying deep learning to credit loan applications. In: SIGKDD International Conference on Knowledge Discovery & Data Mining, p. 2183–2190. ACM, New York, NY, USA (2019)
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