FRANCISCO
HERRERA TRIGUERO
CATEDRÁTICO DE UNIVERSIDAD
Universidad de Oviedo
Oviedo, EspañaPublicaciones en colaboración con investigadores/as de Universidad de Oviedo (12)
2020
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Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
Neurocomputing, Vol. 410, pp. 237-270
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
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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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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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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KEEL: A data mining software tool integrating genetic fuzzy systems
2008 3rd International Workshop on Genetic and Evolving Fuzzy Systems, GEFS
2007
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Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation
International Journal of Approximate Reasoning, Vol. 44, Núm. 1, pp. 45-64
2005
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Genetic learning of the knowledge base of a Fuzzy system by using the linguistic 2-tuples representation
IEEE International Conference on Fuzzy Systems
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
1999
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Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques
Applied Intelligence, Vol. 10, Núm. 1, pp. 5-24
1998
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Computing the spanish medium electrical line maintenance costs by means of evolution- based learning processes
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)