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Juan R. Rabuñal: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Marcos Gestal, Juan R. Rabuñal, Julian Dorado, Javier Pereira
    Description of ranns and their generalisation capabilities by means of rule extraction by genetic programming. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:323-328 [Conf]
  2. Nieves Pedreira, Julian Dorado, Juan R. Rabuñal, Alejandro Pazos, Andrés Silva
    Knowledge Management and Interactive Learning. [Citation Graph (0, 0)][DBLP]
    EKAW, 2004, pp:481-482 [Conf]
  3. Julian Dorado, Juan R. Rabuñal, Jerónimo Puertas, Antonino Santos, Daniel Rivero
    Prediction and Modelling of the Flow of a Typical Urban Basin through Genetic Programming. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2002, pp:190-201 [Conf]
  4. Daniel Rivero, Juan R. Rabuñal, Julian Dorado, Alejandro Pazos
    Using Genetic Programming for Character Discrimination in Damaged Documents. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2004, pp:349-358 [Conf]
  5. Daniel Rivero, Rafael Vidal, Julian Dorado, Juan R. Rabuñal, Alejandro Pazos
    Restoration of Old Documents with Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2003, pp:432-443 [Conf]
  6. Julian Dorado, Antonino Santos, Juan R. Rabuñal, Nieves Pedreira, Alejandro Pazos
    Hybrid Two-Population Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    Fuzzy Days, 2001, pp:464-470 [Conf]
  7. Nieves Pedreira, Julian Dorado, Juan R. Rabuñal, Alejandro Pazos, Andrés Silva
    A Model of Virtual 'Learning to Learn'. [Citation Graph (0, 0)][DBLP]
    ICALT, 2004, pp:- [Conf]
  8. Julian Dorado, Antonino Santos, Juan R. Rabuñal
    Multilevel Genetic Algorithm for the Complete Development of ANN. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2001, pp:717-724 [Conf]
  9. Juan R. Rabuñal, Julian Dorado, Marcos Gestal, Nieves Pedreira
    Diversity and Multimodal Search with a Hybrid Two-Population GA: An Application to ANN Development. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:382-390 [Conf]
  10. Juan R. Rabuñal, Julian Dorado, Alejandro Pazos, Daniel Rivero
    Rules and Generalization Capacity Extraction from ANN with GP. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2003, pp:606-613 [Conf]
  11. Daniel Rivero, Juan R. Rabuñal, Julian Dorado, Alejandro Pazos
    Time Series Forecast with Anticipation Using Genetic Programming. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:968-975 [Conf]
  12. Juan R. Rabuñal, Julian Dorado, Miguel Varela, Daniel Rivero, Marcos Gestal
    Distributed genetic programming by an object oriented system using java and corba. [Citation Graph (0, 0)][DBLP]
    Parallel and Distributed Computing and Networks, 2004, pp:434-439 [Conf]
  13. Julian Dorado, Juan R. Rabuñal, Antonino Santos, Alejandro Pazos, Daniel Rivero
    Automatic Recurrent and Feed-Forward ANN Rule and Expression Extraction with Genetic Programming. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:485-494 [Conf]
  14. Julian Dorado, Juan R. Rabuñal, Alejandro Pazos, Daniel Rivero, Antonino Santos, Jerónimo Puertas
    Prediction and Modeling of the Rainfall-Runoff Transformation of a Typical Urban Basin Using ANN and GP. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2003, v:17, n:4, pp:329-343 [Journal]
  15. Alejandro Pazos, Julian Dorado, Antonino Santos, Juan R. Rabuñal, Nieves Pedreira
    Algoritmos genéticos para el entrenamiento de redes de neuronas artificiales (RNA) recurrentes con activaciones temporales. [Citation Graph (0, 0)][DBLP]
    Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 1998, v:5, n:, pp:26-31 [Journal]
  16. Juan R. Rabuñal, Julian Dorado, Alejandro Pazos, Javier Pereira, Daniel Rivero
    A New Approach to the Extraction of ANN Rules and to Their Generalization Capacity Through GP. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:7, pp:1483-1523 [Journal]
  17. Enrique Fernández-Blanco, Julian Dorado, Juan R. Rabuñal, Marcos Gestal, Nieves Pedreira
    A Computational Morphogenesis Approach to Simple Structure Development. [Citation Graph (0, 0)][DBLP]
    ECAL, 2007, pp:825-834 [Conf]
  18. Daniel Rivero, Julian Dorado, Juan R. Rabuñal, Marcos Gestal
    A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evolution: 2 Sample Problems. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:94-101 [Conf]
  19. Daniel Rivero, Juan R. Rabuñal, Julian Dorado, Alejandro Pazos
    Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem. [Citation Graph (0, 0)][DBLP]
    ICANNGA (1), 2007, pp:276-285 [Conf]
  20. Ana Porto, Alfonso Araque, Juan R. Rabuñal, Julian Dorado, Alejandro Pazos
    A new hybrid evolutionary mechanism based on unsupervised learning for Connectionist Systems. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:16-18, pp:2799-2808 [Journal]

  21. Automatic Recurrent ANN development for signal classification: detection of seizures in EEGs. [Citation Graph (, )][DBLP]


  22. Applying Genetic Programming to Civil Engineering in the Improvement of Models, Codes and Norms. [Citation Graph (, )][DBLP]


  23. Hybrid System for Data Classification of DNA Microarrays With GA and SVM. [Citation Graph (, )][DBLP]


  24. Artificial Neural Networks in Urban Runoff Forecast. [Citation Graph (, )][DBLP]


  25. Two-population Genetic Algorithm - An Approach to Improve the Population Diversity. [Citation Graph (, )][DBLP]


  26. Building the European Higher Education Area - A Subject in Information Systems Security. [Citation Graph (, )][DBLP]


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