A Decision Support Tool for Credit Domains: Bayesian Network with a Variable Selector Based on Imprecise Probabilities
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s40815-021-01079-w.pdf
Reference65 articles.
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3. Abellán, J., Mantas, C.J.: Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring. Expert Syst. Appl. 41(8), 3825–3830 (2014). https://doi.org/10.1016/j.eswa.2013.12.003
4. Abellán, J., Castellano, J.G.: A comparative study on base classifiers in ensemble methods for credit scoring. Expert Syst. Appl. 73, 1–10 (2017). https://doi.org/10.1016/j.eswa.2016.12.020
5. Ala’raj, M., Abbod, M.F.: A new hybrid ensemble credit scoring model based on classifiers consensus system approach. Expert Syst. Appl. 64, 36–55 (2016). https://doi.org/10.1016/j.eswa.2016.07.017
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