Author:
Toseafa Evelyn,Hajek Petr
Publisher
Springer International Publishing
Reference23 articles.
1. Zhong, H., Miao, C., Shen, Z., Feng, Y.: Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings. Neurocomputing 128, 285–295 (2014)
2. Reusens, P., Croux, C.: Sovereign credit rating determinants: a comparison before and after the european debt crisis. J. Banking Finance 77, 108–121 (2017)
3. Gaillard, N.: The determinants of Moody’s sub-sovereign ratings. Int. Res. J. Finance Econ. 31(1), 194–209 (2009)
4. Zhu, Y., Xie, C., Wang, G.J., Yan, X.G.: Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance. Neural Comput. Appl. 28(1), 41–50 (2017)
5. Opitz, D., Maclin, R.: Popular ensemble methods: an empirical study. J. Artif. Intell. Res. 11, 169–198 (1999)
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