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Pedro Antonio Gutiérrez
Pedro Antonio Gutiérrez Peña
2010 – today
- 2013
[j24]Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, Leopoldo Carro-Calvo, Javier Sánchez-Monedero, Luis Prieto: Ordinal and nominal classification of wind speed from synoptic pressurepatterns. Eng. Appl. of AI 26(3): 1008-1015 (2013)- [j23]M. Dolores Redel-Macías, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, Antonio José Cubero-Atienza, César Hervás-Martínez: Improvement of accuracy in a sound synthesis method using Evolutionary Product Unit Networks. Expert Syst. Appl. 40(5): 1477-1483 (2013)
- [j22]María Dolores Redel-Macías, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, Antonio José Cubero-Atienza, César Hervás-Martínez: Ensembles of evolutionary product unit or RBF neural networks for the identification of sound for pass-by noise test in vehicles. Neurocomputing 109: 56-65 (2013)
- [j21]Manuel Cruz-Ramírez, César Hervás-Martínez, Pedro Antonio Gutiérrez, M. Pérez-Ortiz, Javier Briceño, Manuel de la Mata: Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem. Soft Comput. 17(2): 275-284 (2013)
- [j20]F. Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez: Generalised Gaussian radial basis function neural networks. Soft Comput. 17(3): 519-533 (2013)
- [c34]Pilar Campoy-Muñoz, Pedro Antonio Gutiérrez, César Hervás-Martínez: Addressing Remitting Behavior Using an Ordinal Classification Approach. IWINAC (2) 2013: 326-335
- 2012
- [j19]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)
- [j18]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)
- [j17]Manuel Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez: A Structural Distance-Based Crossover for Neural Network Classifiers. IJPRAI 26(6) (2012)
- [j16]Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz: A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems. Inf. Sci. 197: 20-37 (2012)
- [j15]César Hervás-Martínez, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, Emilio G. Ortíz-García, Luis Prieto: Evolutionary product unit neural networks for short-term wind speed forecasting in wind farms. Neural Computing and Applications 21(5): 993-1005 (2012)
- [c33]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
- [c32]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
- [c31]M. Dorado-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez: Ordinal Classification Using Hybrid Artificial Neural Networks with Projection and Kernel Basis Functions. HAIS (2) 2012: 319-330
- [c30]M. Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, Javier Briceño, Manuel de la Mata: An ensemble approach for ordinal threshold models applied to liver transplantation. IJCNN 2012: 1-8
- [c29]Manuel Cruz-Ramírez, J. C. Fernández, A. Valero, Pedro Antonio Gutiérrez, César Hervás-Martínez: Multiobjective Pareto Ordinal Classification for Predictive Microbiology. SOCO 2012: 153-162
- [c28]Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez, Manuel Cruz-Ramírez, Juan Carlos Fernández, Francisco Fernández-Navarro: Approaching System Administration as a Group Project in Computer Engineering Higher Education. CISIS/ICEUTE/SOCO Special Sessions 2012: 331-340
- 2011
- [j14]J. C. Fernández, César Hervás, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez: Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology. Appl. Soft Comput. 11(1): 534-550 (2011)
- [j13]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)
- [j12]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)
- [j11]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)
- [j10]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)
- [j9]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)
- [j8]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)
- [j7]Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo: Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks. IEEE Transactions on Neural Networks 22(2): 246-263 (2011)
- [c27]M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Carlos R. García-Alonso, L. Salvador-Carulla, J. A. Salinas-Perez, César Hervás-Martínez: Ordinal classification of depression spatial hot-spots of prevalence. ISDA 2011: 1170-1175
- [c26]Manuel Cruz-Ramírez, César Hervás-Martínez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez: A preliminary study of ordinal metrics to guide a multi-objective evolutionary algorithm. ISDA 2011: 1176-1181
- [c25]Javier Sánchez-Monedero, Mariano Carbonero-Ruz, David Becerra-Alonso, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez, César Hervás-Martínez: Numerical variable reconstruction from ordinal categories based on probability distributions. ISDA 2011: 1182-1187
- [c24]Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, Leopoldo Carro-Calvo, Javier Sánchez-Monedero, Luis Prieto: Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns. ISDA 2011: 1265-1270
- [c23]Manuel Cruz-Ramírez, César Hervás-Martínez, Pedro Antonio Gutiérrez, Javier Briceño, Manuel de la Mata: Memetic Pareto Differential Evolutionary Neural Network for Donor-Recipient Matching in Liver Transplantation. IWANN (2) 2011: 129-136
- [c22]Pedro Antonio Gutiérrez, César Hervás-Martínez: Hybrid Artificial Neural Networks: Models, Algorithms and Data. IWANN (2) 2011: 177-184
- [c21]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
- [c20]M. Dolores Redel-Macías, Pedro Antonio Gutiérrez, Antonio J. Cubero-Atienza, César Hervás-Martínez: Sound Source Identification in Vehicles Using a Combined Linear-Evolutionary Product Unit Neural Network Model. SOCO 2011: 379-386
- 2010
- [j6]César Hervás-Martínez, Pedro Antonio Gutiérrez, José Manuel Peñá-Barragán, Montserrat Jurado-Expósito, Francisca López-Granados: A logistic radial basis function regression method for discrimination of cover crops in olive orchards. Expert Syst. Appl. 37(12): 8432-8444 (2010)
- [j5]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)
- [j4]Pedro Antonio Gutiérrez, César Hervás, Manuel Lozano: Designing multilayer perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm. Soft Comput. 14(6): 599-613 (2010)
- [j3]Juan Carlos Fernández Caballero, Francisco José Martínez, César Hervás, Pedro Antonio Gutiérrez: Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks. IEEE Transactions on Neural Networks 21(5): 750-770 (2010)
- [c19]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
- [c18]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
- [c17]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
- [c16]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
- [c15]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
2000 – 2009
- 2009
- [j2]Pedro Antonio Gutiérrez, César Hervás, Mariano Carbonero-Ruz, Juan Carlos Fernández: Combined projection and kernel basis functions for classification in evolutionary neural networks. Neurocomputing 72(13-15): 2731-2742 (2009)
- [c14]Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández, Francisca López-Granados: Hybrid Multilogistic Regression by Means of Evolutionary Radial Basis Functions: Application to Precision Agriculture. HAIS 2009: 244-251
- [c13]Juan Carlos Fernández, César Hervás, Francisco José Martínez, Pedro Antonio Gutiérrez, Manuel Cruz: Memetic Pareto Differential Evolution for Designing Artificial Neural Networks in Multiclassification Problems Using Cross-Entropy Versus Sensitivity. HAIS 2009: 433-441
- [c12]Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Juan Carlos Fernández: MultiLogistic Regression using Initial and Radial Basis Function covariates. IJCNN 2009: 1067-1074
- [c11]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
- [c10]César Hervás-Martínez, Pedro Antonio Gutiérrez, Juan Carlos Fernández, Sancho Salcedo-Sanz, Antonio Portilla-Figueras, Ángel M. Pérez-Bellido, Luis Prieto: Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed Prediction. ISDA 2009: 193-198
- [c9]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
- [c8]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
- 2008
- [j1]Francisco J. Martínez-Estudillo, César Hervás-Martínez, Pedro Antonio Gutiérrez, Alfonso C. Martínez-Estudillo: Evolutionary product-unit neural networks classifiers. Neurocomputing 72(1-3): 548-561 (2008)
- [c7]Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez, César Hervás, Juan Carlos Fernández: Evolutionary learning by a sensitivity-accuracy approach for multi-class problems. IEEE Congress on Evolutionary Computation 2008: 1581-1588
- [c6]Pedro Antonio Gutiérrez, Juan Carlos Fernández, César Hervás, Francisca López-Granados, Montserrat Jurado-Expósito, José Manuel Peñá-Barragán: Feature Selection for Hybrid Neuro-Logistic Regression Applied to Classification of Remote Sensed Data. HIS 2008: 625-630
- [c5]Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás, Francisco José Martínez: Memetic Pareto Evolutionary Artificial Neural Networks for the Determination of Growth Limits of Listeria Monocytogenes. HIS 2008: 631-636
- [p1]Pedro Antonio Gutiérrez, César Hervás-Martínez, Mariano Carbonero-Ruz, Juan Carlos Fernández: Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks. Innovations in Hybrid Intelligent Systems 2008: 88-95
- 2007
- [c4]Pedro Antonio Gutiérrez, César Hervás, Manuel Lozano: Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks. IDEAL 2007: 1131-1140
- [c3]Francisco J. Martínez-Estudillo, César Hervás-Martínez, Alfonso C. Martínez-Estudillo, Pedro Antonio Gutiérrez Peña: Hybrid Evolutionary Algorithm with Product-Unit Neural Networks for Classification. IWANN 2007: 351-358
- 2006
- [c2]Francisco J. Martínez-Estudillo, César Hervás-Martínez, Pedro Antonio Gutiérrez Peña, Alfonso C. Martínez-Estudillo, Sebastián Ventura: Evolutionary Product-Unit Neural Networks for Classification. IDEAL 2006: 1320-1328
- [c1]César Hervás-Martínez, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez: Classification by means of Evolutionary Product-Unit Neural Networks. IJCNN 2006: 1525-1532
Coauthor Index
[j24] [j23] [j22] [j21] [j20] [c34] [j19] [j18] [j17] [j16] [j15] [c33] [c32] [c31] [c30] [c29] [c28] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [j6] [j5] [j4] [j3] [c19] [c18] [c17] [c16] [c15] [j2] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [j1] [c7] [c6] [c5] [p1] [c4] [c3] [c2] [c1]
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last updated on 2013-06-05 02:37 CEST by the dblp team