Enhanced Default Risk Models with SVM+



Expert Systems With Applications, Elsevier, Vol. 39, pp. 10140-10152, Elsevier, March 2012


Cited by

Year 2014 : 4 citations

 Marcacini, R. M., Domingues, M. A., Hruschka, E. R., & Rezende, S. O. (2014, August). Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach. In Pattern Recognition (ICPR), 2014 22nd International Conference on (pp. 3636-3641). IEEE.

 Wang, Z., Wang, X., & Ji, Q. (2014, August). Learning with Hidden Information. In Pattern Recognition (ICPR), 2014 22nd International Conference on (pp. 238-243). IEEE.

 Gozer, I. C., leite de Albuquerque, A. R. P., Isotani, S., Gimenes, R. E. M. A. T., Moreira, W. H., Alberton, O., & Menezes, E. A. U. (2014). Evaluation of insolvency in mutual credit unions by the models of artificial neural networks and support vector machines. African Journal of Agricultural Research, 9(16), 1227-1237.

 Ofori, K. S., Fianu, E., Omoregie, K., Odai, N. A., & Oduro-Gyimah, F. (2014). Predicting Credit Default among Micro Borrowers in Ghana. Research Journal of Finance and Accounting, 5(12), 96-104.

Year 2013 : 3 citations

 A statistical modeling methodology for the analysis of term structure of credit risk and its dependency
J You, T Ando - Expert Systems with Applications, 2013 - Elsevier

 Profiieseeker—Early warning system for predicting economic situation of small and medium enterprises
A Burda, P Cudek, ZS Hippe - Human System Interaction (HSI), …, 2013 -

 García, V., Marqués, A. I., & Sánchez, J. S. (2014). An insight into the experimental design for credit risk and corporate bankruptcy prediction systems. Journal of Intelligent Information Systems, 1-31.

Year 2012 : 1 citations

 ProfileSEEKER—system informatyczny wczesnego ostrzegania ma?ych i ?rednich przedsi?biorstw przed bankructwem
A Burda, P Cudek, ZS Hippe -