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Daniel Manrique: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Arnulfo Castellanos, Juan Castellanos, Daniel Manrique, A. Martínez
    A New Approach for Extracting Rules from a Trained Neural Network. [Citation Graph (0, 0)][DBLP]
    EPIA, 1997, pp:297-302 [Conf]
  2. Daniel Manrique, Juan Rios, Amparo Vilarrasa
    A Combined Neural Network and Mathematical Morphology Method for Computerized Detection of Microcalcifications. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 1999, pp:92-100 [Conf]
  3. Alberto Carrascal, Jorge Couchet, Enrique Ferreira, Daniel Manrique
    Anomaly Detection using prior knowledge: application to TCP/IP traffic. [Citation Graph (0, 0)][DBLP]
    IFIP AI, 2006, pp:139-148 [Conf]
  4. José María Barreiro, Alberto Carrascal, Daniel Manrique, Juan Rios, Amparo Vilarrasa
    Automatic Detection of Regions of Interest in Digitized Mammograms for Computer-Aided Diagnosis. [Citation Graph (0, 0)][DBLP]
    ISMDA, 2001, pp:48-53 [Conf]
  5. Daniel Manrique, Fernando Márquez, Juan Rios, Alfonso Rodríguez-Patón
    Grammar Based Crossover Operator in Genetic Programming. [Citation Graph (0, 0)][DBLP]
    IWINAC (2), 2005, pp:252-261 [Conf]
  6. Alberto Carrascal, Daniel Manrique, Juan Rios
    Neural Networks Evolutionary Learning in Chess Game. [Citation Graph (0, 0)][DBLP]
    MLMTA, 2003, pp:148-153 [Conf]
  7. Dolores Barrios, Daniel Manrique, Jaime Porras, Juan Rios
    Real-Coded Genetic Algorithms Based on Mathematical Morphology. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2000, pp:706-715 [Conf]
  8. Dolores Barrios, Daniel Manrique, M. Rosario Plaza, Juan Rios
    An Algebraic Model for Generating and Adapting Neural Networks by Means of Optimization Methods. [Citation Graph (0, 0)][DBLP]
    Ann. Math. Artif. Intell., 2001, v:33, n:1, pp:93-111 [Journal]
  9. Alberto Carrascal, Daniel Manrique, Juan Rios, Claudio Rossi
    Evolutionary Local Search of Fuzzy Rules through a novel Neuro-Fuzzy encoding method. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2003, v:11, n:4, pp:439-461 [Journal]
  10. Dolores Barrios, Alberto Carrascal, Daniel Manrique, Juan Rios
    Optimisation with Real-Coded Genetic Algorithms Based on Mathematical Morphology. [Citation Graph (0, 0)][DBLP]
    Int. J. Comput. Math., 2003, v:80, n:3, pp:275-293 [Journal]
  11. Marc García-Arnau, Daniel Manrique, Juan Rios, Alfonso Rodríguez-Patón
    Initialization method for grammar-guided genetic programming. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 2007, v:20, n:2, pp:127-133 [Journal]
  12. Dolores Barrios, Alberto Carrascal, Daniel Manrique, Juan Rios
    Cooperative binary-real coded genetic algorithms for generating and adapting artificial neural networks. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2003, v:12, n:2, pp:49-60 [Journal]
  13. Lucas Ledesma, Daniel Manrique, Alfonso Rodríguez-Patón
    A tissue P system and a DNA microfluidic device for solving the shortest common superstring problem. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2005, v:9, n:9, pp:679-685 [Journal]
  14. Lucas Ledesma, Daniel Manrique, Alfonso Rodríguez-Patón
    A tissue P system and a DNA microfluidic device for solving the shortest common superstring problem. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2005, v:9, n:9, pp:691-691 [Journal]
  15. Marc García-Arnau, Daniel Manrique, Alfonso Rodríguez-Patón
    A Parallel DNA Algorithm Using a Microfluidic Device to Build Scheduling Grids. [Citation Graph (0, 0)][DBLP]
    IWINAC (1), 2007, pp:193-202 [Conf]
  16. Jorge Couchet, Daniel Manrique, Luis Porras
    Grammar-Guided Neural Architecture Evolution. [Citation Graph (0, 0)][DBLP]
    IWINAC (1), 2007, pp:437-446 [Conf]
  17. Jorge Couchet, Enrique Ferreira, André Fonseca, Daniel Manrique
    A Novel Architecture for the Classification and Visualization of Sequential Data. [Citation Graph (0, 0)][DBLP]
    ICANNGA (1), 2007, pp:730-738 [Conf]
  18. Daniel Manrique, Juan Rios, Alfonso Rodríguez-Patón
    Evolutionary system for automatically constructing and adapting radial basis function networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:16-18, pp:2268-2283 [Journal]

  19. Towards a Robust Biocomputing Solution of Intractable Problems. [Citation Graph (, )][DBLP]


  20. The Impact Of Applying An Instructional Model In Distance Learning: A Case Study. [Citation Graph (, )][DBLP]


  21. Rule Evolving System for Knee Lesion Prognosis from Medical Isokinetic Curves. [Citation Graph (, )][DBLP]


  22. Optimum binary codification for genetic design of artificial neural networks. [Citation Graph (, )][DBLP]


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