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Pedro Isasi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ricardo Aler, Daniel Borrajo, Pedro Isasi
    Genetic Programming of Control Knowledge for Planning. [Citation Graph (0, 0)][DBLP]
    AIPS, 1998, pp:137-144 [Conf]
  2. José María Valls, Inés María Galván, Pedro Isasi
    How the Selection of Training Patterns can Improve the Generalization Capability in Radial Basis Neural Networks. [Citation Graph (0, 0)][DBLP]
    Applied Informatics, 2003, pp:275-280 [Conf]
  3. Ricardo Aler, Daniel Borrajo, Pedro Isasi
    Evolving Heuristics for Planning. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1998, pp:745-754 [Conf]
  4. Fernando Fernández, Pedro Isasi
    Designing nearest neighbour classifiers by the evolution of a population of prototypes. [Citation Graph (0, 0)][DBLP]
    ESANN, 2001, pp:171-178 [Conf]
  5. Yago Sáez, Pedro Isasi, Javier Segovia, Asunción Mochón
    An Experimental Comparative Study for Interactive Evolutionary Computation Problems. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2006, pp:542-553 [Conf]
  6. Yago Sáez, Oscar Sanjuán, Javier Segovia, Pedro Isasi
    Genetic Algorithms for the Generation of Models with Micropopulations. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2003, pp:570-580 [Conf]
  7. Antonio Berlanga, Pedro Isasi, Araceli Sanchis de Miguel, José M. Molina
    Uniform Coevolution for solving the density classification problem in Cellular Automata. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:383- [Conf]
  8. César Estébanez, Julio César Hernández Castro, Arturo Ribagorda, Pedro Isasi
    Evolving hash functions by means of genetic programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1861-1862 [Conf]
  9. David Quintana, Cristóbal Luque del Arco-Calderón, Pedro Isasi
    Evolutionary rule-based system for IPO underpricing prediction. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:983-989 [Conf]
  10. José María Valls, Inés María Galván, Pedro Isasi
    Lazy Training of Radial Basis Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2006, pp:198-207 [Conf]
  11. José María Valls, Pedro Isasi, Inés María Galván
    Deferring the Learning for Better Generalization in Radial Basis Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:189-195 [Conf]
  12. Julio César Hernández Castro, José María Sierra, Pedro Isasi, Arturo Ribagorda
    Genetic Cryptoanalysis of Two Rounds TEA. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (3), 2002, pp:1024-1031 [Conf]
  13. Ricardo Aler, Daniel Borrajo, Pedro Isasi
    Knowledge Representation Issues in Control Knowledge Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:1-8 [Conf]
  14. Ricardo Aler, Daniel Borrajo, Pedro Isasi
    Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:10-18 [Conf]
  15. Antonio Berlanga, José M. Molina, Araceli Sanchís, Pedro Isasi
    Applying Evolution Strategies to Neural Networks Robot Controller. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 1999, pp:516-525 [Conf]
  16. German Gutiérrez Sanchez, Pedro Isasi, José M. Molina, Araceli Sanchís, Inés María Galván
    Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2001, pp:514-521 [Conf]
  17. Pedro Isasi, Fernando Fernández
    Evolutionary Approach to Overcome Initialization Parameters in Classification Problems. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2003, pp:254-261 [Conf]
  18. Pedro Isasi, José M. Molina López, Araceli Sanchis de Miguel
    Unsupervised Neural Network for Forecasting Alarms in Hydroelectric Power Plant. [Citation Graph (0, 0)][DBLP]
    IWANN, 1997, pp:1298-1306 [Conf]
  19. Pedro Isasi, José María Valls, Inés María Galván
    A Better Selection of Patterns in Lazy Learning Radial Basis Neural Networks. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2003, pp:278-285 [Conf]
  20. Pedro Isasi, Manuel Velasco, Javier Segovia
    Analyzing Wavelets Components to Perform Face Recognition. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2001, pp:262-270 [Conf]
  21. E. M. Muro, Miguel A. Andrade, Pedro Isasi, Federico Morán
    A Self-Organizing Model for the Development of Ocular Dominance and Orientation Columns in the Virtual Cortex. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 1999, pp:104-112 [Conf]
  22. E. M. Muro, Pedro Isasi, Miguel A. Andrade, Federico Morán
    Development of On-Off and Off-On Receptive Fields Using a Semistochastic Model. [Citation Graph (0, 0)][DBLP]
    IWANN, 1997, pp:35-43 [Conf]
  23. Araceli Sanchís, José M. Molina, Pedro Isasi, Javier Segovia
    Learning Symbolic Rules with a Reactive with Tags Classifier System in Robot Navigation. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 1999, pp:548-557 [Conf]
  24. Julio César Hernández Castro, Pedro Isasi, Cristóbal Luque del Arco-Calderón
    Finding Efficient Nonlinear Functions by Means of Genetic Programming. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:1192-1198 [Conf]
  25. Araceli Sanchís, José M. Molina, Pedro Isasi, Javier Segovia
    Generación Automática de Categorias mediante la Evoluciónde Tags en Sistemas Clasificadores. [Citation Graph (0, 0)][DBLP]
    Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 1999, v:7, n:, pp:77-97 [Journal]
  26. Ricardo Aler, Daniel Borrajo, Pedro Isasi
    Using genetic programming to learn and improve control knowledge. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2002, v:141, n:1/2, pp:29-56 [Journal]
  27. Pedro Isasi, Araceli Sanchís, José M. Molina, Antonio Berlanga
    A Computational Model of Evolution: Haploidy versus Diploidy. [Citation Graph (0, 0)][DBLP]
    Computers and Artificial Intelligence, 1999, v:18, n:6, pp:- [Journal]
  28. Ricardo Aler, Daniel Borrajo, Pedro Isasi
    Learning to Solve Planning Problems Efficiently by Means of Genetic Programming. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2001, v:9, n:4, pp:387-420 [Journal]
  29. Fernando Fernández, Pedro Isasi
    Evolutionary Design of Nearest Prototype Classifiers. [Citation Graph (0, 0)][DBLP]
    J. Heuristics, 2004, v:10, n:4, pp:431-454 [Journal]
  30. Inés María Galván, Pedro Isasi, Ricardo Aler, José María Valls
    A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2001, v:11, n:2, pp:167-177 [Journal]
  31. Inés María Galván, Pedro Isasi
    Multi-step Learning Rule for Recurrent Neural Models: An Application to Time Series Forecasting. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2001, v:13, n:2, pp:115-133 [Journal]
  32. José María Valls, Inés María Galván, Pedro Isasi
    Lazy Learning in Radial Basis Neural Networks: A Way of Achieving More Accurate Models. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2004, v:20, n:2, pp:105-124 [Journal]
  33. Enrique Alba, A. Cervantes, J. A. Gómez, P. Isasi, M. D. Jaraíz, Coromoto León, Gabriel Luque, Francisco Luna, Gara Miranda, Antonio J. Nebro, R. Pérez, Carlos Segura
    Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs. [Citation Graph (0, 0)][DBLP]
    EUROCAST, 2007, pp:755-763 [Conf]
  34. Alejandro Cervantes, Inés María Galván, Pedro Isasi
    An Adaptive Michigan Approach PSO for Nearest Prototype Classification. [Citation Graph (0, 0)][DBLP]
    IWINAC (2), 2007, pp:287-296 [Conf]
  35. Alejandro Cervantes, Inés María Galván, Pedro Isasi
    A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:290-297 [Conf]
  36. José María Valls, Inés María Galván, Pedro Isasi
    LRBNN: A Lazy Radial Basis Neural Network model. [Citation Graph (0, 0)][DBLP]
    AI Commun., 2007, v:20, n:2, pp:71-86 [Journal]

  37. A Study of the Effects of Clustering and Local Search on Radio Network Design: Evolutionary Computation Approaches. [Citation Graph (, )][DBLP]

  38. Testing BOI and BOB Algorithms for Solving the Winner Determination Problem in Radio Spectrum Auctions. [Citation Graph (, )][DBLP]

  39. A Lazy Approach for Machine Learning Algorithms. [Citation Graph (, )][DBLP]

  40. Improved Accuracy Rates of a Prototype Based Classifier Using Evolutionary Computation. [Citation Graph (, )][DBLP]

  41. Driving Cars by Means of Genetic Algorithms. [Citation Graph (, )][DBLP]

  42. Multiobjective algorithms to optimize broadcasting parameters in mobile Ad-hoc networks. [Citation Graph (, )][DBLP]

  43. Two-layered evolutionary forecasting for IPO underpricing. [Citation Graph (, )][DBLP]

  44. Testing bidding strategies in the clock-proxy auction for selling radio spectrum: A Genetic Algorithm approach. [Citation Graph (, )][DBLP]

  45. Genetic Algorithms versus Human Bidding Strategies for Auctions. [Citation Graph (, )][DBLP]

  46. Interactive Evolutionary Computation algorithms applied to solve Rastrigin test functions. [Citation Graph (, )][DBLP]

  47. Nearest prototype classification of noisy data. [Citation Graph (, )][DBLP]

  48. Soft computing techniques applied to finance. [Citation Graph (, )][DBLP]

  49. Early bankruptcy prediction using ENPC. [Citation Graph (, )][DBLP]

  50. Finding Efficient Distinguishers for Cryptographic Mappings, with an Application to the Block Cipher TEA. [Citation Graph (, )][DBLP]

  51. Introduction to the Applications of Evolutionary Computation in Computer Security and Cryptography. [Citation Graph (, )][DBLP]

  52. Applied Computational Intelligence for Finance and Economics. [Citation Graph (, )][DBLP]

  53. Effects of a Rationing Rule on the AUSUBEL Auction: A Genetic Algorithm Implementation. [Citation Graph (, )][DBLP]

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