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Mercedes Torres
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Publications
- 2017
- [j9]Francisco Fernández-Navarro
, Mariano Carbonero-Ruz, David Becerra-Alonso, Mercedes Torres-Jiménez
:
Global Sensitivity Estimates for Neural Network Classifiers. IEEE Trans. Neural Networks Learn. Syst. 28(11): 2592-2604 (2017) - 2016
- [c7]María Pérez-Ortiz
, Mercedes Torres-Jiménez
, Pedro Antonio Gutiérrez
, Javier Sánchez-Monedero
, César Hervás-Martínez:
Fisher Score-Based Feature Selection for Ordinal Classification: A Social Survey on Subjective Well-Being. HAIS 2016: 597-608 - 2015
- [j7]Mercedes Torres-Jiménez
, Carlos R. García-Alonso
, Luis Salvador-Carulla
, Vicente Fernández-Rodríguez
:
Evaluation of system efficiency using the Monte Carlo DEA: The case of small health areas. Eur. J. Oper. Res. 242(2): 525-535 (2015) - [j6]Mercedes Torres-Jiménez
, Carlos R. García-Alonso
, Javier Sánchez-Monedero
, Salud Millán-Lara, César Hervás-Martínez:
Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency. Prog. Artif. Intell. 4(3-4): 59-67 (2015) - [c5]Carlos R. García-Alonso
, César Hervás-Martínez, Salud Millán-Lara, Mercedes Torres-Jiménez
:
Evolutionary Product Unit Logistic Regression: The Case of Agrarian Efficiency. CAEPIA 2015: 92-102 - 2011
- [j4]Francisco Fernández-Navarro
, César Hervás-Martínez, Carlos R. García-Alonso
, Mercedes Torres-Jiménez
:
Determination of relative agrarian technical efficiency by a dynamic over-sampling procedure guided by minimum sensitivity. Expert Syst. Appl. 38(10): 12483-12490 (2011) - 2010
- [j3]Carlos R. García-Alonso
, Mercedes Torres-Jiménez
, César Hervás-Martínez:
Income prediction in the agrarian sector using product unit neural networks. Eur. J. Oper. Res. 204(2): 355-365 (2010) - 2009
- [j2]Mercedes Torres
, César Hervás, Carlos García
:
Multinomial logistic regression and product unit neural network models: Application of a new hybrid methodology for solving a classification problem in the livestock sector. Expert Syst. Appl. 36(10): 12225-12235 (2009) - 2005
- [j1]Mercedes Torres
, César Hervás-Martínez, Francisco Amador:
Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms. Comput. Oper. Res. 32: 2653-2670 (2005)
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