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César Hervás
List of publications from the DBLP Bibliography Server - FAQ
2009 | ||
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43 | EE | 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) |
2008 | ||
42 | EE | 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 |
41 | EE | 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 |
40 | EE | 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) |
39 | EE | 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) |
38 | EE | 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) |
37 | EE | 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 | ||
36 | EE | 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 |
35 | EE | Francisco J. Martínez-Estudillo, César Hervás-Martínez, Alfonso C. Martínez-Estudillo, Pedro A. Gutiérrez Peña: Hybrid Evolutionary Algorithm with Product-Unit Neural Networks for Classification. IWANN 2007: 351-358 |
34 | EE | César Hervás, Francisco Martínez, Mariano Carbonero-Ruz, Cristóbal Romero, Juan Carlos Fernández: Evolutionary Combining of Basis Function Neural Networks for Classification. IWINAC (1) 2007: 447-456 |
33 | EE | 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) |
32 | EE | 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 | ||
31 | EE | 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 |
30 | EE | Francisco J. Martínez-Estudillo, César Hervás-Martínez, Pedro A. Gutiérrez Peña, Alfonso C. Martínez-Estudillo, Sebastián Ventura: Evolutionary Product-Unit Neural Networks for Classification. IDEAL 2006: 1320-1328 |
29 | EE | César Hervás-Martínez, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez: Classification by means of Evolutionary Product-Unit Neural Networks. IJCNN 2006: 1525-1532 |
28 | EE | 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) |
27 | EE | 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) |
26 | EE | 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 | ||
25 | EE | 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 |
24 | EE | Nicolás García-Pedrajas, Domingo Ortiz-Boyer, Rafael del Castillo Gomariz, César Hervás-Martínez: Cascade Ensembles. IWANN 2005: 598-603 |
23 | EE | 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 |
22 | EE | 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) |
21 | EE | 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) |
20 | EE | 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) |
19 | EE | 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) |
18 | EE | César Hervás-Martínez, Domingo Ortiz-Boyer: Analyzing the statistical features of CIXL2 crossover offspring. Soft Comput. 9(4): 270-279 (2005) |
2004 | ||
17 | EE | 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) |
16 | EE | Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez: Cooperative coevolution of generalized multi-layer perceptrons. Neurocomputing 56: 257-283 (2004) |
2003 | ||
15 | EE | 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 |
14 | EE | 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 |
2002 | ||
13 | EE | 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 | EE | Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas: Crossover Operator Effect in Function Optimization with Constraints. PPSN 2002: 184-193 |
11 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 5: 32-37 (1998) | |
4 | EE | 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 | EE | 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 | EE | 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 |