CIENCIAS DE LA COMPUTACIÓN E INTELIGENCIA ARTIFICIAL
DEPARTAMENTO
Luciano
Sánchez Ramos
Publicacións nas que colabora con Luciano Sánchez Ramos (26)
2017
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KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining
International Journal of Computational Intelligence Systems, Vol. 10, Núm. 1, pp. 1238-1249
2015
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Genetic learning of the membership functions for mining fuzzy association rules from low quality data
Information Sciences, Vol. 295, pp. 358-378
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The behavioral meaning of the median
Information Sciences, Vol. 294, pp. 127-138
2014
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Cost-Sensitive Learning of Fuzzy Rules for Imbalanced Classification Problems Using FURIA
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 22, Núm. 5, pp. 643-675
2013
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A genetic fuzzy linguistic combination method for fuzzy rule-based multiclassifiers
IEEE Transactions on Fuzzy Systems, Vol. 21, Núm. 5, pp. 950-965
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Multiobjective genetic classifier selection for random oracles fuzzy rule-based classifier ensembles: How beneficial is the additional diversity?
Knowledge-Based Systems, Vol. 54, pp. 3-21
2011
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KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework
Journal of Multiple-Valued Logic and Soft Computing, Vol. 17, Núm. 2-3, pp. 255-287
2010
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Introducing a genetic fuzzy linguistic combination method for bagging fuzzy rule-based multiclassification systems
2010 4th International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2010
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Introduction to the experimental design in the data mining tool KEEL
Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies (IGI Global), pp. 1-25
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KEEL: una herramienta software para el análisis de sistemas difusos evolutivos
XV Congreso Español sobre Tecnologías y Lógica Fuzzy ESTYLF 2010: Huelva [Recurso electrónico]
2009
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Genetic learning of fuzzy rules based on low quality data
Fuzzy Sets and Systems, Vol. 160, Núm. 17, pp. 2524-2552
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KEEL: A software tool to assess evolutionary algorithms for data mining problems
Soft Computing, Vol. 13, Núm. 3, pp. 307-318
2008
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A first study on bagging fuzzy rule-based classification systems with multicriteria genetic selection of the component classifiers
2008 3rd International Workshop on Genetic and Evolving Fuzzy Systems, GEFS
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Fuzzy-genetic optimization of the parameters of a low cost system for the optical measurement of several dimensions of vehicles
Soft Computing, Vol. 12, Núm. 8, pp. 751-764
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KEEL: A data mining software tool integrating genetic fuzzy systems
2008 3rd International Workshop on Genetic and Evolving Fuzzy Systems, GEFS
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On the use of bagging, mutual information-based feature selection and multicriteria genetic algorithms to design fuzzy rule-based classification ensembles
Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008
2007
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Modeling vague data with genetic fuzzy systems under a combination of crisp and imprecise criteria
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, MCDM 2007
2006
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A multiobjective genetic fuzzy system with imprecise probability fitness for vague data
Proceedings of the 2006 International Symposium on Evolving Fuzzy Systems, EFS'06
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Knowledge extraction from fuzzy data for estimating consumer behavior models
IEEE International Conference on Fuzzy Systems
2004
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Proyecto KEEL: desarrollo de una herramienta para el análisis e implementación de algoritmos de extracción de conocimiento evolutivos
Tendencias de la minería de datos en España: Red Española de Minería de Datos y Aprendizaje (TIC2002-11124-E) (Raúl Giráldez), pp. 413-423