María Jesús Segovia-Vargas

According to our database, María Jesús Segovia-Vargas authored at least 10 papers between 2004 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Machine learning in corporate credit rating assessment using the expanded audit report.

Nora Muñoz-Izquierdo, María Jesús Segovia-Vargas, María-del-Mar Camacho-Miñano, Yolanda Pérez-Pérez

Mach. Learn., 2022

Detection of shell companies in financial institutions using dynamic social network.

José-de-Jesús Rocha-Salazar, María Jesús Segovia-Vargas, María-del-Mar Camacho-Miñano

Expert Syst. Appl., 2022

2021

Money laundering and terrorism financing detection using neural networks and an abnormality indicator.

José-de-Jesús Rocha-Salazar, María Jesús Segovia-Vargas, María-del-Mar Camacho-Miñano

Expert Syst. Appl., 2021

Risk-return modelling in the p2p lending market: Trends, gaps, recommendations and future directions.

Miller Janny Ariza-Garzón, María-del-Mar Camacho-Miñano, María Jesús Segovia-Vargas, Javier Arroyo

Electron. Commer. Res. Appl., 2021

How Does Managerial Experience Predict the Internationalization Type of a Young Firm?

Oliver Lukason, Tiia Vissak, María Jesús Segovia-Vargas

IEEE Access, 2021

2020

Explainability of a Machine Learning Granting Scoring Model in Peer-to-Peer Lending.

Miller Janny Ariza-Garzón, Javier Arroyo, Antonio Caparrini, María Jesús Segovia-Vargas

IEEE Access, 2020

2012

Evaluating the Internationalization Success of Companies Through a Hybrid Grouping Harmony Search - Extreme Learning Machine Approach.

Itziar Landa-Torres, Emilio G. Ortíz-García, Sancho Salcedo-Sanz, María Jesús Segovia-Vargas, Sergio Gil-Lopez, Marta Miranda, José M. Leiva-Murillo, Javier Del Ser

IEEE J. Sel. Top. Signal Process., 2012

2010

Generalized Logistic Regression Models Using Neural Network Basis Functions Applied to the Detection of Banking Crises.

Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, María Jesús Segovia-Vargas, A. Sanchis, José Antonio Portilla-Figueras, Francisco Fernández-Navarro, César Hervás-Martínez

Proceedings of the Trends in Applied Intelligent Systems, 2010

2005

Genetic programming for the prediction of insolvency in non-life insurance companies.

Sancho Salcedo-Sanz, José Luis Fernández-Villacañas, María Jesús Segovia-Vargas, Carlos Bousoño-Calzón

Comput. Oper. Res., 2005

2004

Feature selection methods involving support vector machines for prediction of insolvency in non-life insurance companies.

Sancho Salcedo-Sanz, Mario de Prado-Cumplido, María Jesús Segovia-Vargas, Fernando Pérez-Cruz, Carlos Bousoño-Calzón

Intell. Syst. Account. Finance Manag., 2004