María Jesús Segovia-Vargas
María Jesús Segovia-Vargas
Financial Mathematics Associate Professor. Universidad Complutense de Madrid (UCM)
Verified email at ccee.ucm.es
Title
Cited by
Cited by
Year
Genetic programming for the prediction of insolvency in non-life insurance companies
S Salcedo-Sanz, JL Fernández-Villacañas, MJ Segovia-Vargas, ...
Computers & Operations Research 32 (4), 749-765, 2005
822005
Rough Sets and the role of the monetary policy in financial stability (macroeconomic problem) and the prediction of insolvency in insurance sector (microeconomic problem)
A Sanchis, MJ Segovia, JA Gil, A Heras, JL Vilar
European Journal of Operational Research 181 (3), 1554-1573, 2007
732007
Which characteristics predict the survival of insolvent firms? An SME reorganization prediction model
MM Camacho‐Miñano, MJ Segovia‐Vargas, D Pascual‐Ezama
Journal of Small Business Management 53 (2), 340-354, 2015
372015
Evaluating the internationalization success of companies through a hybrid grouping harmony search—extreme learning machine approach
I Landa-Torres, EG Ortiz-Garcia, S Salcedo-Sanz, MJ Segovia-Vargas, ...
IEEE Journal of Selected Topics in Signal Processing 6 (4), 388-398, 2012
352012
Hybridizing logistic regression with product unit and RBF networks for accurate detection and prediction of banking crises
PA Gutiérrez, MJ Segovia-Vargas, S Salcedo-Sanz, C Hervás-Martínez, ...
Omega 38 (5), 333-344, 2010
332010
Explaining the causes of business failure using audit report disclosures
N Muñoz-Izquierdo, MJ Segovia-Vargas, D Pascual-Ezama
Journal of Business Research 98, 403-414, 2019
312019
Feature selection methods involving support vector machines for prediction of insolvency in non‐life insurance companies
S Salcedo‐Sanz, M DePrado‐Cumplido, MJ Segovia‐Vargas, ...
Intelligent Systems in Accounting, Finance & Management: International …, 2004
272004
Análisis económico-financiero de los centros especiales de empleo de España
V Gelashvili, MMC Miñano, MJS Vargas
Revista Española de Discapacidad (REDIS) 4 (2), 7-24, 2016
202016
Explainability of a machine learning granting scoring model in peer-to-peer lending
MJ Ariza-Garzón, J Arroyo, A Caparrini, MJ Segovia-Vargas
Ieee Access 8, 64873-64890, 2020
182020
Patrones de supervivencia para la gestión de los centros especiales de empleo
V Gelashvili, MJS Vargas, MMC Miñano
Revista de Estudios Empresariales. Segunda Época, 109-126, 2015
142015
Prediction of Insolvency in Non-life Insurance Companies Using Support-vector Machines, Genetic Algorithms and Simulated Annealing
MJ Segovia-Vargas, S Salcedo-Sanz, C Bousono-Calzon
Fuzzy Economic Review 9 (1), 79-94, 2004
142004
Prediction of Insolvency in Non-life Insurance Companies Using Support-vector Machines, Genetic Algorithms and Simulated Annealing
MJ Segovia-Vargas, S Salcedo-Sanz, C Bousono-Calzon
Fuzzy Economic Review 9 (1), 79-94, 2004
142004
Analysis of financial instability by means of decision trees and lists
Z Díaz, A Sanchis, MJ Segovia
Emerging Topics in Macroeconomics, Richard O. Bailly (ed), 303-327, 2009
132009
Machine learning and statistical techniques. An application to the prediction of insolvency in Spanish non-life insurance companies
Z Díaz, MJ Segovia, J Fernández, E del Pozo
The International Journal of Digital Accounting Research 5 (9), 1-45, 2005
132005
See5 algorithm versus discriminant analysis. An application to the prediction of insolvency in Spanish non-life insurance companies
Z Díaz-Martínez, J Fernández-Menéndez, MJ Segovia-Vargas
Investment management and financial innovations, 100-112, 2004
13*2004
Is the external audit report useful for bankruptcy prediction? Evidence using artificial intelligence
N Muñoz-Izquierdo, MM Camacho-Miñano, MJ Segovia-Vargas, ...
International Journal of Financial Studies 7 (2), 20, 2019
122019
Risk factor selection in automobile insurance policies: a way to improve the bottom line of insurance companies
MJ Segovia-Vargas, MM Camacho-Miñano, D Pascual-Ezama
Revista brasileira de gestão de negócios 17, 1228-1245, 2015
122015
Predicción de crisis empresariales en seguros no vida mediante la metodología Rough Set
MJ Segovia Vargas
Universidad Complutense de Madrid, Servicio de Publicaciones, 2004
122004
Sistemas de inducción de reglas y árboles de decisión aplicados a la predicción de insolvencias en empresas aseguradoras
Z Díaz Martínez, J Fernández Menéndez, MJ Segovia Vargas
Facultad de Ciencias Económicas y Empresariales. Decanato 2004 (09), 2004
122004
Predicción de crisis empresariales en seguros no vida mediante la metodología Rough Set
MJ Segovia Vargas
Universidad Complutense de Madrid, Servicio de Publicaciones, 2004
122004
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