Publicaciones (29) Publicaciones de PEDRO ANTONIO GUTIÉRREZ PEÑA

2021

  1. Enhancing the ORCA framework with a new Fuzzy Rule Base System implementation compatible with the JFML library

    IEEE International Conference on Fuzzy Systems

2019

  1. Monotonic classification: An overview on algorithms, performance measures and data sets

    Neurocomputing, Vol. 341, pp. 168-182

  2. OCAPIS: R package for Ordinal Classification and Preprocessing in Scala

    Progress in Artificial Intelligence, Vol. 8, Núm. 3, pp. 287-292

2016

  1. Current prospects on ordinal and monotonic classification

    Progress in Artificial Intelligence, Vol. 5, Núm. 3, pp. 171-179

2014

  1. Special issue: Advances in learning schemes for function approximation

    Neurocomputing

2010

  1. A logistic radial basis function regression method for discrimination of cover crops in olive orchards

    Expert Systems with Applications, Vol. 37, Núm. 12, pp. 8432-8444

  2. Designing multilayer perceptrons using a guided saw-tooth evolutionary programming algorithm

    Soft Computing, Vol. 14, Núm. 6, pp. 599-613

  3. Development of a multi-classification neural network model to determine the microbial growth/no growth interface

    International Journal of Food Microbiology, Vol. 141, Núm. 3, pp. 203-212

  4. 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

  5. Evaluating the performance of evolutionary extreme learning machines by a combination of sensitivity and accuracy measures

    Neural Network World, Vol. 20, Núm. 7, pp. 899-912

  6. Evolutionary q-Gaussian radial basis functions for binary-classification

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

  7. Evolutionary q-gaussian radial basis functions for improving prediction accuracy of gene classification using feature selection

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

  8. Generalized logistic regression models using neural network basis functions applied to the detection of banking crises

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

  9. Hybridizing logistic regression with product unit and RBF networks for accurate detection and prediction of banking crises

    Omega, Vol. 38, Núm. 5, pp. 333-344

  10. 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)

  11. 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

  12. 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. A sensitivity clustering method for memetic training of radial basis function neural networks

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

  3. Classification by evolutionary generalized radial basis functions

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