| 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 | 126 | 2020 |
| 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 | 92 | 2005 |
| 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 | 87 | 2007 |
| 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 | 74 | 2015 |
| Money laundering and terrorism financing detection using neural networks and an abnormality indicator MJ Segovia-Vargas Expert Systems with Applications 169, 114470, 2021 | 73 | 2021 |
| 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 | 66 | 2019 |
| 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 | 51 | 2019 |
| 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 | 49 | 2010 |
| 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 | 47 | 2005 |
| 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 | 42 | 2012 |
| 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 | 33 | 2004 |
| Análisis económico-financiero de los centros especiales de empleo de España V Gelashvili | 26 | 2017 |
| Risk-return modelling in the p2p lending market: Trends, gaps, recommendations and future directions MJ Ariza-Garzón, MJ Segovia-Vargas, J Arroyo Electronic Commerce Research and Applications 49, 101079, 2021 | 22 | 2021 |
| 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 | 22 | 2015 |
| 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 | 22 | 2004 |
| Interconnecting exporter types with export growth and decline patterns: Evidence from matched mature Estonian and Spanish firms T Vissak, O Lukason, MJ Segovia-Vargas Review of International Business and Strategy 28 (1), 61-76, 2018 | 21 | 2018 |
| 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 | 21 | 2004 |
| Patrones de supervivencia para la gestión de los centros especiales de empleo V Gelashvili, MJS Vargas, MMC Miñano Revista de Estudios Empresariales. Segunda Época, 2015 | 20 | 2015 |
| Análisis del riesgo de caída de cartera en seguros: metodologías de “inteligencia artificial” vs “modelos lineales generalizados” MLG Cordero, MJ Segovia-Vargas, MR Escamilla Economía Informa 407, 56-86, 2017 | 17 | 2017 |
| The profitability of socially reponsible companies: public subsidies for sheltered employment centers V Gelashvili, MM Camacho-Miñano, M Segovia-Vargas Ramon Llull Journal of Applied Ethics, 111-123, 2015 | 16 | 2015 |
María-del-Mar Camacho-MiñanoFull professor of Accounting, Universidad Complutense de Madrid在 ccee.ucm.es 的电子邮件经过验证
