Publikationen, an denen er mitarbeitet Juan Carlos Fernández Caballero (12)

2010

  1. Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers

    Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10

  2. Methodology for the recognition and diagnosis of student performance by discriminant analysis and artificial neural networks

    1st International Conference on European Transnational Education: [recurso electrónico] (ICEUTE 2010)

  3. On the suitability of Extreme Learning Machine for gene classification using feature selection

    Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10

  4. Sensitivity versus accuracy in multiclass problems using memetic pareto evolutionary neural networks

    IEEE Transactions on Neural Networks, Vol. 21, Núm. 5, pp. 750-770

2009

  1. A sensitivity clustering method for hybrid evolutionary algorithms

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Combined projection and kernel basis functions for classification in evolutionary neural networks

    Neurocomputing, Vol. 72, Núm. 13-15, pp. 2731-2742

  3. Hybrid multilogistic regression by means of evolutionary radial basis functions: Application to precision agriculture

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Hyperbolic tangent basis function neural networks training by hybrid evolutionary programming for accurate short-term wind speed prediction

    ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications

  5. Memetic pareto differential evolution for designing artificial neural networks in multiclassification problems using cross-entropy versus sensitivity

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  6. MultiLogistic Regression using Initial and Radial Basis Function covariates

    IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6

  7. Multilogistic Regression using Initial and Radial Basis Function covariates

    Proceedings of the International Joint Conference on Neural Networks

  8. Structural simplification of hybrid neuro-logistic regression models in multispectral analysis of remote sensed data

    Neural Network World, Vol. 19, Núm. 1, pp. 3-20