PEDRO ANTONIO
GUTIÉRREZ PEÑA
Investigador en el periodo 2009-2009
Universidad de Córdoba
Córdoba, EspañaPublicaciones en colaboración con investigadores/as de Universidad de Córdoba (28)
2021
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Enhancing the ORCA framework with a new Fuzzy Rule Base System implementation compatible with the JFML library
IEEE International Conference on Fuzzy Systems
2019
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Monotonic classification: An overview on algorithms, performance measures and data sets
Neurocomputing, Vol. 341, pp. 168-182
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OCAPIS: R package for Ordinal Classification and Preprocessing in Scala
Progress in Artificial Intelligence, Vol. 8, Núm. 3, pp. 287-292
2016
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Current prospects on ordinal and monotonic classification
Progress in Artificial Intelligence, Vol. 5, Núm. 3, pp. 171-179
2014
2010
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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
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Designing multilayer perceptrons using a guided saw-tooth evolutionary programming algorithm
Soft Computing, Vol. 14, Núm. 6, pp. 599-613
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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
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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
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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
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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)
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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)
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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)
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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
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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)
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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
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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
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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)
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A sensitivity clustering method for memetic training of radial basis function neural networks
ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications
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Classification by evolutionary generalized radial basis functions
ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications