CIENCIAS DE LA COMPUTACIÓN E INTELIGENCIA ARTIFICIAL
DEPARTAMENTO
Universidad de Huelva
Huelva, EspañaPublicaciones en colaboración con investigadores/as de Universidad de Huelva (13)
2017
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A review of distributed data models for learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2011
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SNP annotation from next generation sequencing data
International Conference on Intelligent Systems Design and Applications, ISDA
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
2009
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AIEIA: Software for fuzzy environmental impact assessment
Expert Systems with Applications, Vol. 36, Núm. 5, pp. 9135-9149
2008
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Replacement strategies to preserve useful diversity in steady-state genetic algorithms
Information Sciences, Vol. 178, Núm. 23, pp. 4421-4433
2007
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Cooperative evolutionary learning of linguistic fuzzy rules and parametric aggregation connectors for Mamdani fuzzy systems
IEEE Transactions on Fuzzy Systems, Vol. 15, Núm. 6, pp. 1162-1178
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Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems
International Journal of Intelligent Systems, Vol. 22, Núm. 9, pp. 1035-1064
2006
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Obtaining biclusters in microarrays with population-based heuristics
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2003
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Constructing linguistic versions for the multicriteria decision support systems preference ranking organization method for enrichment evaluation I and II
International Journal of Intelligent Systems, Vol. 18, Núm. 7, pp. 711-731
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Linguistic modeling with hierarchical systems of weighted linguistic rules
International Journal of Approximate Reasoning, Vol. 32, Núm. 2-3, pp. 187-215
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Using evolutionary algorithms as instance selection for data reduction in KDD: An experimental study
IEEE Transactions on Evolutionary Computation, Vol. 7, Núm. 6, pp. 561-575
2002
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A GRASP algorithm for clustering
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
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A greedy randomized adaptive search procedure applied to the clustering problem as an initialization process using K-Means as a local search procedure
Journal of Intelligent and Fuzzy Systems