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César Hervás
List of publications from the DBLP Bibliography Server - FAQ
| 2012 | ||
|---|---|---|
| 101 | M. Pérez-Ortiz, Manuel Cruz-Ramírez, Juan Carlos Fernández Caballero, César Hervás-Martínez: Hybrid Multi-objective Machine Learning Classification in Liver Transplantation. HAIS (1) 2012: 397-408 | |
| 100 | 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 | |
| 99 | 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 | |
| 98 | 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 | |
| 97 | 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) | |
| 96 | Antonio J. Tallón-Ballesteros, Pedro A. Gutiérrez-Peña, César Hervás-Martínez: Distribution of the search of evolutionary product unit neural networks for classification CoRR abs/1205.3336: (2012) | |
| 95 | Manuel Cruz-Ramírez, César Hervás-Martínez, Montserrat Jurado-Expósito, Francisca López-Granados: A multi-objective neural network based method for cover crop identification from remote sensed data. Expert Syst. Appl. 39(11): 10038-10048 (2012) | |
| 94 | 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) | |
| 93 | 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) | |
| 92 | 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 | ||
| 91 | 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 | |
| 90 | 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 | |
| 89 | Pedro Antonio Gutiérrez, César Hervás-Martínez: Hybrid Artificial Neural Networks: Models, Algorithms and Data. IWANN (2) 2011: 177-184 | |
| 88 | Antonio J. Tallón-Ballesteros, César Hervás-Martínez, José C. Riquelme, Roberto Ruiz: Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection. IWINAC (2) 2011: 381-390 | |
| 87 | 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 | |
| 86 | 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 | |
| 85 | 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) | |
| 84 | 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) | |
| 83 | Nicolás García-Pedrajas, César Hervás-Martínez, Domingo Ortiz-Boyer: CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features CoRR abs/1109.2146: (2011) | |
| 82 | Antonio J. Tallón-Ballesteros, César Hervás-Martínez: A two-stage algorithm in evolutionary product unit neural networks for classification. Expert Syst. Appl. 38(1): 743-754 (2011) | |
| 81 | 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) | |
| 80 | 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) | |
| 79 | 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) | |
| 78 | 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) | |
| 77 | 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) | |
| 76 | 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) | |
| 75 | 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 | ||
| 74 | 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 | |
| 73 | Javier Sánchez-Monedero, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz, M. C. Ramírez Moreno, Manuel Cruz-Ramírez: Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification. HAIS (2) 2010: 288-295 | |
| 72 | 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 | |
| 71 | 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 | |
| 70 | 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 | |
| 69 | Manuel Cruz-Ramírez, César Hervás-Martínez, Juan Carlos Fernández, Javier Sánchez-Monedero: Learning Artificial Neural Networks multiclassifiers by evolutionary multiobjective differential evolution guided by statistical distributions. IJCNN 2010: 1-8 | |
| 68 | 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 | |
| 67 | 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 | |
| 66 | Carlos R. García-Alonso, Mercedes Torres-Jiménez, César Hervás-Martínez: Income prediction in the agrarian sector using product unit neural networks. European Journal of Operational Research 204(2): 355-365 (2010) | |
| 65 | 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) | |
| 64 | 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) | |
| 63 | 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) | |
| 62 | 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) | |
| 61 | 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) | |
| 2009 | ||
| 60 | 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 | |
| 59 | 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 | |
| 58 | 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 | |
| 57 | 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 | |
| 56 | 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 | |
| 55 | 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 | |
| 54 | Juan Carlos Fernández, César Hervás-Martínez, Francisco José Martínez, Manuel Cruz: Design of Artificial Neural Networks Using a Memetic Pareto Evolutionary Algorithm Using as Objectives Entropy versus Variation Coefficient. ISDA 2009: 408-413 | |
| 53 | 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 | |
| 52 | P. Gutiérrez, César Hervás, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz: Multilogistic Regression by Product Units. Encyclopedia of Artificial Intelligence 2009: 1136-1144 | |
| 51 | Carlos R. García-Alonso, Jorge Guardiola, César Hervás-Martínez: Logistic evolutionary product-unit neural networks: Innovation capacity of poor Guatemalan households. European Journal of Operational Research 195(2): 543-551 (2009) | |
| 50 | 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) | |
| 49 | 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) | |
| 2008 | ||
| 48 | Sebastián Ventura, Cristóbal Romero, César Hervás: Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher. EDM 2008: 177-181 | |
| 47 | Cristóbal Romero, Sebastián Ventura, Pedro G. Espejo, César Hervás: Data Mining Algorithms to Classify Students. EDM 2008: 8-17 | |
| 46 | 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 | |
| 45 | 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 | |
| 44 | 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 | |
| 43 | 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 | |
| 42 | César Hervás-Martínez, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz: Multilogistic regression by means of evolutionary product-unit neural networks. Neural Networks 21(7): 951-961 (2008) | |
| 41 | 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) | |
| 40 | Sebastián Ventura, Cristóbal Romero, Amelia Zafra, Jose Antonio Delgado, César Hervás: JCLEC: a Java framework for evolutionary computation. Soft Comput. 12(4): 381-392 (2008) | |
| 39 | Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas: Robust confidence intervals applied to crossover operator for real-coded genetic algorithms. Soft Comput. 12(8): 809-833 (2008) | |
| 2007 | ||
| 38 | 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 | |
| 37 | 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 | |
| 36 | César Hervás, Francisco José Martínez, Mariano Carbonero-Ruz, Cristóbal Romero, Juan Carlos Fernández: Evolutionary Combining of Basis Function Neural Networks for Classification. IWINAC (1) 2007: 447-456 | |
| 35 | Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas: Improving crossover operator for real-coded genetic algorithms using virtual parents. J. Heuristics 13(3): 265-314 (2007) | |
| 34 | César Hervás-Martínez, Francisco J. Martínez-Estudillo: Logistic regression using covariates obtained by product-unit neural network models. Pattern Recognition 40(1): 52-64 (2007) | |
| 2006 | ||
| 33 | Cristóbal Romero, Sebastián Ventura, César Hervás-Martínez, Paul De Bra: An Authoring Tool for Building Both Mobile Adaptable Tests and Web-Based Adaptive or Classic Tests. AH 2006: 203-212 | |
| 32 | 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 | |
| 31 | César Hervás-Martínez, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez: Classification by means of Evolutionary Product-Unit Neural Networks. IJCNN 2006: 1525-1532 | |
| 30 | Cristóbal Romero, Sebastián Ventura, Eva Lucrecia Gibaja Galindo, César Hervás-Martínez, Francisco Romero Morales: Web-based adaptive training simulator system for cardiac life support. Artificial Intelligence in Medicine 38(1): 67-78 (2006) | |
| 29 | Pedro G. Espejo, César Hervás, Sebastián Ventura, Cristóbal Romero: Selection of Logical Operators for Inducing Comprehensible Knowledge. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 10(29): 19-30 (2006) | |
| 28 | Alfonso C. Martínez-Estudillo, Francisco J. Martínez-Estudillo, César Hervás-Martínez, Nicolás García-Pedrajas: Evolutionary product unit based neural networks for regression. Neural Networks 19(4): 477-486 (2006) | |
| 27 | Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez: An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization. Neural Networks 19(4): 514-528 (2006) | |
| 2005 | ||
| 26 | Domingo Ortiz-Boyer, Rafael del Castillo Gomariz, Nicolás García-Pedrajas, César Hervás-Martínez: Crossover effect over penalty methods in function optimization with constraints. Congress on Evolutionary Computation 2005: 1127-1134 | |
| 25 | Nicolás García-Pedrajas, Domingo Ortiz-Boyer, Rafael del Castillo Gomariz, César Hervás-Martínez: Cascade Ensembles. IWANN 2005: 598-603 | |
| 24 | Francisco J. Martínez-Estudillo, César Hervás-Martínez, Alfonso C. Martínez-Estudillo, Domingo Ortiz-Boyer: Memetic Algorithms to Product-Unit Neural Networks for Regression. IWANN 2005: 83-90 | |
| 23 | Mercedes Torres, César Hervás-Martínez, Francisco Amador: Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms. Computers & OR 32: 2653-2670 (2005) | |
| 22 | Nicolás García-Pedrajas, César Hervás-Martínez, Domingo Ortiz-Boyer: Cooperative coevolution of artificial neural network ensembles for pattern classification. IEEE Trans. Evolutionary Computation 9(3): 271-302 (2005) | |
| 21 | Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas: CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features. J. Artif. Intell. Res. (JAIR) 24: 1-48 (2005) | |
| 20 | César Hervás-Martínez, Alfonso Carlos Martínez, Manuel Silva, Juan Manuel Serrano: Improving the Quantification of Highly Overlapping Chromatographic Peaks by Using Product Unit Neural Networks Modeled by an Evolutionary Algorithm. Journal of Chemical Information and Modeling 45(4): 894-903 (2005) | |
| 19 | César Hervás-Martínez, Domingo Ortiz-Boyer: Analyzing the statistical features of CIXL2 crossover offspring. Soft Comput. 9(4): 270-279 (2005) | |
| 2004 | ||
| 18 | César Hervás-Martínez, Manuel Silva, Juan Manuel Serrano, Eva Orejuela: Heuristic Extraction of Rules in Pruned Artificial Neural Networks Models Used for Quantifying Highly Overlapping Chromatographic Peaks. Journal of Chemical Information and Modeling 44(5): 1576-1584 (2004) | |
| 17 | Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez: Cooperative coevolution of generalized multi-layer perceptrons. Neurocomputing 56: 257-283 (2004) | |
| 2003 | ||
| 16 | Rafael del Castillo Gomariz, César Hervás-Martínez, Sebastián Ventura, Domingo Ortiz-Boyer: Application of Crossover Operators Based on Confidence Interval in Modeling Problems Using Real-Coding Genetic Algorithms. CAEPIA 2003: 177-186 | |
| 15 | Eloy Sanz-Tapia, Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez: Node Level Crossover Applied to Neural Network Evolution. IWANN (1) 2003: 518-525 | |
| 14 | Nicolás García-Pedrajas, César Hervás-Martínez, José Muñoz-Pérez: COVNET: a cooperative coevolutionary model for evolving artificial neural networks. IEEE Transactions on Neural Networks 14(3): 575-596 (2003) | |
| 2002 | ||
| 13 | César Hervás-Martínez, Domingo Ortiz-Boyer, Nicolás García-Pedrajas: Theoretical Analysis of the Confidence Interval Based Crossover for Real-Coded Genetic Algorithms. PPSN 2002: 153-161 | |
| 12 | Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas: Crossover Operator Effect in Function Optimization with Constraints. PPSN 2002: 184-193 | |
| 11 | Nicolás García-Pedrajas, César Hervás-Martínez, José Muñoz-Pérez: Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks). Neural Networks 15(10): 1259-1278 (2002) | |
| 2001 | ||
| 10 | Domingo Ortiz-Boyer, César Hervás-Martínez, José Muñoz-Pérez: Genetic algorithms with crossover based on confidence interval as an alternative to traditional nonlinear regression methods. ESANN 2001: 193-198 | |
| 9 | César Hervás-Martínez, José Antonio Martinez Heras, Sebastián Ventura, Manuel Silva: A two steps method: non linear regression and pruning neural network for analyzing multicomponent mixtures. ESANN 2001: 347-352 | |
| 8 | Nicolás García-Pedrajas, Eloy Sanz-Tapia, Domingo Ortiz-Boyer, César Hervás-Martínez: Introducing Multi-objective Optimization in Cooperative Coevolution of Neural Networks. IWANN (1) 2001: 645-652 | |
| 7 | César Hervás, Rocío Toledo, Manuel Silva: Use of Pruned Computational Neural Networks for Processing the Response of Oscillating Chemical Reactions with a View to Analyzing Nonlinear Multicomponent Mixtures. Journal of Chemical Information and Computer Sciences 41(4): 1083-1092 (2001) | |
| 2000 | ||
| 6 | César Hervás, José Antonio Algar, Manuel Silva: Correction of Temperature Variations in Kinetic-Based Determinations by Use of Pruning Computational Neural Networks in Conjunction with Genetic Algorithms. Journal of Chemical Information and Computer Sciences 40(3): 724-731 (2000) | |
| 1998 | ||
| 5 | César Hervás, Sebastián Ventura, J. Martínez: Reconocimiento de funciones de producción láctea mediante redes neuronales podadas y entrenadas con un algoritmo genético. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 2(5): 32-37 (1998) | |
| 4 | César Hervás, Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito: Computational Neural Networks for Resolving Nonlinear Multicomponent Systems Based on Chemiluminescence Methods. Journal of Chemical Information and Computer Sciences 38(6): 1119-1124 (1998) | |
| 1997 | ||
| 3 | Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito, César Hervás: Computational Neural Networks in Conjunction with Principal Component Analysis for Resolving Highly Nonlinear Kinetics. Journal of Chemical Information and Computer Sciences 37(2): 287-291 (1997) | |
| 2 | Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito, César Hervás: Estimation of Parameters of Kinetic Compartmental Models by Use of Computational Neural Networks. Journal of Chemical Information and Computer Sciences 37(3): 517-521 (1997) | |
| 1992 | ||
| 1 | César Hervás-Martínez, E. J. Romero Soto, Nicolás García-Pedrajas, Rafael Medina Carnicer: Comparison Between Artificial Neural Networks and Classical Statsitical Methods in Pattern Recognition. IPMU 1992: 351-360 | |
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