FRANCISCO
HERRERA TRIGUERO
CATEDRÁTICO DE UNIVERSIDAD
Universidad Politécnica de Madrid
Madrid, EspañaPublicacións en colaboración con investigadores/as de Universidad Politécnica de Madrid (16)
2024
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Deep Learning methodology for the identification of wood species using high-resolution macroscopic images
Proceedings of the International Joint Conference on Neural Networks
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GOIMAI DataSet-Phase-I of high-resolution macroscopic images for the identification of wood species
Zenodo
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GOIMAI DataSet-Phase-I of high-resolution macroscopic images for the identification of wood species
Zenodo
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GOIMAI DataSet-Phase-I of high-resolution macroscopic images for the identification of wood species
Zenodo
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
2018
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An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions
Cognitive Computation, Vol. 10, Núm. 4, pp. 517-544
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An insight into evolutionary algorithms for continuous optimization: learning by competitions
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
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SHADE con búsqueda local iterativa para optimización global de alta dimensionalidad
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
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SHADE with Iterative Local Search for Large-Scale Global Optimization
2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings
2006
2004
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Genetic fuzzy systems. New developments
Fuzzy Sets and Systems
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Ten years of genetic fuzzy systems: Current framework and new trends
Fuzzy Sets and Systems
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
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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Recent advances in genetic fuzzy systems
Information Sciences
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Ten years of genetic fuzzy systems: Current framework and new trends
Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS