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César Hervás-Martínez: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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. [Citation Graph (0, 0)][DBLP]
    AH, 2006, pp:203-212 [Conf]
  2. 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. [Citation Graph (0, 0)][DBLP]
    CAEPIA, 2003, pp:177-186 [Conf]
  3. 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. [Citation Graph (0, 0)][DBLP]
    ESANN, 2001, pp:347-352 [Conf]
  4. 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. [Citation Graph (0, 0)][DBLP]
    ESANN, 2001, pp:193-198 [Conf]
  5. Francisco J. Martínez-Estudillo, César Hervás-Martínez, Pedro A. Gutiérrez Peña, Alfonso C. Martínez-Estudillo, Sebastián Ventura
    Evolutionary Product-Unit Neural Networks for Classification. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:1320-1328 [Conf]
  6. 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. [Citation Graph (0, 0)][DBLP]
    IPMU, 1992, pp:351-360 [Conf]
  7. Nicolás García-Pedrajas, Domingo Ortiz-Boyer, Rafael del Castillo Gomariz, César Hervás-Martínez
    Cascade Ensembles. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:598-603 [Conf]
  8. Nicolás García-Pedrajas, Eloy Sanz-Tapia, Domingo Ortiz-Boyer, César Hervás-Martínez
    Introducing Multi-objective Optimization in Cooperative Coevolution of Neural Networks. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2001, pp:645-652 [Conf]
  9. Francisco Martínez-Estudillo, César Hervás-Martínez, Alfonso Martínez-Estudillo, Domingo Ortiz-Boyer
    Memetic Algorithms to Product-Unit Neural Networks for Regression. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:83-90 [Conf]
  10. Eloy Sanz-Tapia, Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez
    Node Level Crossover Applied to Neural Network Evolution. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2003, pp:518-525 [Conf]
  11. César Hervás-Martínez, Domingo Ortiz-Boyer, Nicolás García-Pedrajas
    Theoretical Analysis of the Confidence Interval Based Crossover for Real-Coded Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:153-161 [Conf]
  12. Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas
    Crossover Operator Effect in Function Optimization with Constraints. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:184-193 [Conf]
  13. Cristóbal Romero, Sebastián Ventura, Eva Lucrecia Gibaja Galindo, César Hervás-Martínez, Francisco Romero Morales
    Web-based adaptive training simulator system for cardiac life support. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2006, v:38, n:1, pp:67-78 [Journal]
  14. Mercedes Torres, César Hervás-Martínez, Francisco Amador
    Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms. [Citation Graph (0, 0)][DBLP]
    Computers & OR, 2005, v:32, n:, pp:2653-2670 [Journal]
  15. Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez
    Cooperative coevolution of generalized multi-layer perceptrons. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:56, n:, pp:257-283 [Journal]
  16. 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. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2005, v:45, n:4, pp:894-903 [Journal]
  17. 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. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2004, v:44, n:5, pp:1576-1584 [Journal]
  18. Nicolás García-Pedrajas, César Hervás-Martínez, José Muñoz-Pérez
    Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks). [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:10, pp:1259-1278 [Journal]
  19. Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez
    An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:4, pp:514-528 [Journal]
  20. Alfonso Martínez-Estudillo, Francisco Martínez-Estudillo, César Hervás-Martínez, Nicolás García-Pedrajas
    Evolutionary product unit based neural networks for regression. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:4, pp:477-486 [Journal]
  21. César Hervás-Martínez, Francisco Martínez-Estudillo
    Logistic regression using covariates obtained by product-unit neural network models. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:1, pp:52-64 [Journal]
  22. César Hervás-Martínez, Domingo Ortiz-Boyer
    Analyzing the statistical features of CIXL2 crossover offspring. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2005, v:9, n:4, pp:270-279 [Journal]
  23. Nicolás García-Pedrajas, César Hervás-Martínez, Domingo Ortiz-Boyer
    Cooperative coevolution of artificial neural network ensembles for pattern classification. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2005, v:9, n:3, pp:271-302 [Journal]
  24. 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. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:351-358 [Conf]
  25. Domingo Ortiz-Boyer, Rafael del Castillo Gomariz, Nicolás García-Pedrajas, César Hervás-Martínez
    Crossover effect over penalty methods in function optimization with constraints. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:1127-1134 [Conf]
  26. Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas
    Improving crossover operator for real-coded genetic algorithms using virtual parents. [Citation Graph (0, 0)][DBLP]
    J. Heuristics, 2007, v:13, n:3, pp:265-314 [Journal]
  27. Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas
    CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2005, v:24, n:, pp:1-48 [Journal]

  28. Evolutionary q-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection. [Citation Graph (, )][DBLP]


  29. Classification by means of Evolutionary Product-Unit Neural Networks. [Citation Graph (, )][DBLP]


  30. Classification by Evolutionary Generalized Radial Basis Functions. [Citation Graph (, )][DBLP]


  31. A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks. [Citation Graph (, )][DBLP]


  32. Design of Artificial Neural Networks Using a Memetic Pareto Evolutionary Algorithm Using as Objectives Entropy versus Variation Coefficient. [Citation Graph (, )][DBLP]


  33. Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed Prediction. [Citation Graph (, )][DBLP]


  34. A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms. [Citation Graph (, )][DBLP]


  35. Hybrid Multilogistic Regression by Means of Evolutionary Radial Basis Functions: Application to Precision Agriculture. [Citation Graph (, )][DBLP]


  36. Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification. [Citation Graph (, )][DBLP]


  37. Evolutionary q-Gaussian Radial Basis Functions for Binary-Classification. [Citation Graph (, )][DBLP]


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