Francisco Fernández-Navarro

F. Fernández-Navarro

	2012
25		Pedro Antonio Gutiérrez, M. Pérez-Ortiz, Francisco Fernández-Navarro, Javier Sánchez-Monedero, César Hervás-Martínez: An Experimental Study of Different Ordinal Regression Methods and Measures. HAIS (2) 2012: 296-307
24		F. Fernández-Navarro, Huanhuan Chen, Pedro Antonio Gutiérrez, César Hervás-Martínez, Xin Yao: Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology. HAIS (2) 2012: 308-318
23		Francisco Fernández-Navarro, César Hervás-Martínez, Roberto Ruiz, José C. Riquelme: Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection. Appl. Soft Comput. 12(6): 1787-1800 (2012)
22		Adiel Castaño, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez: Permanent disability classification by combining evolutionary Generalized Radial Basis Function and logistic regression methods. Expert Syst. Appl. 39(9): 8350-8355 (2012)
21		Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, José Manuel Peñá-Barragán, Francisca López-Granados: Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification. Neurocomputing 75(1): 123-134 (2012)
	2011
20		Manuel Cruz-Ramírez, Juan Carlos Fernández Caballero, Francisco Fernández-Navarro, Javier Briceño, Manuel de la Mata, César Hervás-Martínez: Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients. GECCO (Companion) 2011: 479-486
19		Adiel Castaño Méndez, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, Manuel Baena-García, César Hervás-Martínez: Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods for Classification. SOCO 2011: 263-270
18		Francisco Fernández-Navarro, César Hervás-Martínez, Manuel Cruz-Ramírez, Pedro Antonio Gutiérrez, Antonio Valero: Evolutionary q-Gaussian Radial Basis Function Neural Network to determine the microbial growth/no growth interface of Staphylococcus aureus. Appl. Soft Comput. 11(3): 3012-3020 (2011)
17		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)
16		Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz: Evolutionary q-Gaussian radial basis function neural networks for multiclassification. Neural Networks 24(7): 779-784 (2011)
15		Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, Francisco Fernández-Navarro, César Hervás-Martínez: Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers. Neural Processing Letters 34(2): 101-116 (2011)
14		Adiel Castaño, Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez: Neuro-logistic Models Based on Evolutionary Generalized Radial Basis Function for the Microarray Gene Expression Classification Problem. Neural Processing Letters 34(2): 117-131 (2011)
13		Francisco Fernández-Navarro, César Hervás-Martínez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez: MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks. Neurocomputing 74(16): 2502-2510 (2011)
12		Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez: A dynamic over-sampling procedure based on sensitivity for multi-class problems. Pattern Recognition 44(8): 1821-1833 (2011)
	2010
11		F. Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, Mariano Carbonero-Ruz: Evolutionary q-Gaussian Radial Basis Functions for Binary-Classification. HAIS (2) 2010: 280-287
10		Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Roberto Ruiz, José C. Riquelme: Evolutionary q-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection. ICANN (1) 2010: 327-336
9		Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, María Jesús Segovia-Vargas, A. Sanchis, José Antonio Portilla-Figueras, F. Fernández-Navarro, César Hervás-Martínez: Generalized Logistic Regression Models Using Neural Network Basis Functions Applied to the Detection of Banking Crises. IEA/AIE (3) 2010: 1-10
8		Manuel Cruz-Ramírez, Javier Sánchez-Monedero, F. Fernández-Navarro, J. C. Fernández, César Hervás-Martínez: Hybrid Pareto Differential Evolutionary Artificial Neural Networks to Determined Growth Multi-classes in Predictive Microbiology. IEA/AIE (3) 2010: 646-655
7		Javier Sánchez-Monedero, Manuel Cruz-Ramírez, Francisco Fernández-Navarro, Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás-Martínez: On the suitability of Extreme Learning Machine for gene classification using feature selection. ISDA 2010: 507-512
6		Manuel Cruz-Ramírez, Juan Carlos Fernández, Javier Sánchez-Monedero, Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Maria Teresa Lamata: Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers. ISDA 2010: 513-518
5		Manuel Cruz-Ramírez, Javier Sánchez-Monedero, F. Fernández-Navarro, J. C. Fernández, César Hervás-Martínez: Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology. Evolutionary Intelligence 3(3-4): 187-199 (2010)
4		Adiel Castaño, Francisco Fernández-Navarro, César Hervás-Martínez, M. M. García, Pedro Antonio Gutiérrez: Classification by evolutionary generalised radial basis functions. Int. J. Hybrid Intell. Syst. 7(4): 239-248 (2010)
	2009
3		F. Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez: A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks. ISDA 2009: 187-192
2		Adiel Castaño, César Hervás-Martínez, Pedro Antonio Gutiérrez, F. Fernández-Navarro, M. M. García: Classification by Evolutionary Generalized Radial Basis Functions. ISDA 2009: 203-208
1		F. Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández: A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms. IWINAC (1) 2009: 245-254

Coauthor Index

1	Manuel Baena-García	[19]
2	Javier Briceño	[20]
3	Mariano Carbonero-Ruz	[11] [16]
4	Adiel Castaño (Adiel Castaño Méndez)	[2] [4] [14] [19] [22]
5	Huanhuan Chen	[24]
6	Manuel Cruz-Ramírez	[5] [6] [7] [8] [11] [18] [20]
7	J. C. Fernández	[5] [8]
8	Juan Carlos Fernández (Juan Carlos Fernández Caballero)	[1] [6] [7] [20]
9	M. M. García	[2] [4]
10	Carlos R. García-Alonso	[17]
11	Pedro Antonio Gutiérrez (Pedro Antonio Gutiérrez Peña)	[1] [2] [3] [4] [6] [7] [9] [10] [11] [12] [13] [14] [15] [16] [18] [19] [21] [22] [24] [25]
12	César Hervás-Martínez (César Hervás)	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25]
13	Maria Teresa Lamata	[6]
14	Francisca López-Granados	[21]
15	Manuel de la Mata	[20]
16	José Manuel Peñá-Barragán	[21]
17	M. Pérez-Ortiz	[25]
18	José Antonio Portilla-Figueras (Antonio Portilla-Figueras)	[9]
19	Sancho Salcedo-Sanz	[9]
20	Roberto Ruiz Sánchez (Roberto Ruiz)	[10] [23]
21	Javier Sánchez-Monedero	[5] [6] [7] [8] [13] [15] [25]
22	A. Sanchis	[9]
23	José Cristóbal Riquelme Santos (José C. Riquelme)	[10] [23]
24	María Jesús Segovia-Vargas	[9]
25	Mercedes Torres (Mercedes Torres-Jiménez)	[17]
26	Antonio Valero	[18]
27	Xin Yao	[24]

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