FRANCISCO
HERRERA TRIGUERO
CATEDRÁTICO DE UNIVERSIDAD
Universidade de Vigo
Vigo, EspañaPublicaciones en colaboración con investigadores/as de Universidade de Vigo (11)
2020
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COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images
IEEE Journal of Biomedical and Health Informatics, Vol. 24, Núm. 12, pp. 3595-3605
2005
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Hybrid crossover operators for real-coded genetic algorithms: An experimental study
Soft Computing, Vol. 9, Núm. 4, pp. 280-298
2003
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A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems
Intelligent Systems for Information Processing: From Representation to Applications (Elsevier B.V.), pp. 315-326
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A taxonomy for the crossover operator for real-coded genetic algorithms: An experimental study
International Journal of Intelligent Systems, Vol. 18, Núm. 3, pp. 309-338
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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
2002
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A prediction system for cardiovascularity diseases using genetic fuzzy rule-based systems
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
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Multiple crossover per couple with selection of the two best offspring: An experimental study with the BLX-α crossover operator for real-coded genetic algorithms
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
2001
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A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base
Information Sciences, Vol. 136, Núm. 1-4, pp. 85-107
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A multiobjective genetic algorithm for feature selection and granularity learning in fuzzy-rule based classification systems
Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS
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Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base
IEEE Transactions on Fuzzy Systems, Vol. 9, Núm. 4, pp. 667-674
2000
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Analysis and guidelines to obtain a good uniform fuzzy partition granularity for fuzzy rule-based systems using simulated annealing
International Journal of Approximate Reasoning, Vol. 25, Núm. 3, pp. 187-215