PEDRO
VILLAR CASTRO
PROFESOR TITULAR DE UNIVERSIDAD
ALBERTO LUIS
FERNÁNDEZ HILARIO
CATEDRÁTICO DE UNIVERSIDAD
Publications by the researcher in collaboration with ALBERTO LUIS FERNÁNDEZ HILARIO (6)
2016
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On the combination of pairwise and granularity learning for improving fuzzy rule-based classification systems: GL-FARCHD-OVO
Advances in Intelligent Systems and Computing
2015
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Improving the OVO performance in Fuzzy Rule-Based Classification Systems by the genetic learning of the granularity level
IEEE International Conference on Fuzzy Systems
2012
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Feature selection and granularity learning in genetic fuzzy rule-based classification systems for highly imbalanced data-sets
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 20, Núm. 3, pp. 369-397
2011
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Studying the behavior of a multiobjective genetic algorithm to design fuzzy rule-based classification systems for imbalanced data-sets
IEEE International Conference on Fuzzy Systems
2010
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A genetic algorithm for feature selection and granularity learning in fuzzy rule-based classification systems for highly imbalanced data-sets
Communications in Computer and Information Science
2009
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A genetic learning of the fuzzy rule-based classification system granularity for highly imbalanced data-sets
IEEE International Conference on Fuzzy Systems