JESÚS
ALCALÁ FERNÁNDEZ
Investigador en el periodo 2007-2007
Universidad de Granada
Granada, EspañaPublicaciones en colaboración con investigadores/as de Universidad de Granada (25)
2023
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Enhancing soft computing techniques to actively address imbalanced regression problems
Expert Systems with Applications, Vol. 234
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Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy
Fuzzy Sets and Systems, Vol. 465
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Shared gene expression signatures between visceral adipose and skeletal muscle tissues are associated with cardiometabolic traits in children with obesity
Computers in Biology and Medicine, Vol. 163
2022
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Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension
International Journal of Fuzzy Systems, Vol. 24, Núm. 7, pp. 3082-3103
2021
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Meta-Fuzzy Items for Fuzzy Association Rules
IEEE International Conference on Fuzzy Systems
2020
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Temporal association rule mining: An overview considering the time variable as an integral or implied component
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 10, Núm. 4
2019
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Experimental study on 164 algorithms available in software tools for solving standard non-linear regression problems
IEEE Access, Vol. 7, pp. 108916-108939
2018
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Evolutionary data mining and applications: A revision on the most cited papers from the last 10 years (2007–2017)
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 8, Núm. 2
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
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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A consistency-based procedure to estimate missing pairwise preference values
International Journal of Intelligent Systems
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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 usefulness of MOEAs for getting compact FRBSs under parameter tuning and rule selection
Studies in Computational Intelligence, Vol. 98, pp. 91-107
2007
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A multi-objective evolutionary algorithm for rule selection and tuning on fuzzy rule-based systems
IEEE International Conference on Fuzzy Systems
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A multi-objective evolutionary algorithm for rule selection and tuning on fuzzy rule-based systems
2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4
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A multi-objective genetic algorithm for tuning and rule selection to obtain accurate and compact linguistic fuzzy rule-based systems
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems
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A proposal for the genetic lateral tuning of linguistic fuzzy systems and its interaction with rule selection
IEEE Transactions on Fuzzy Systems, Vol. 15, Núm. 4, pp. 616-635
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Genetic fuzzy systems: What's next? An introduction to the special section
IEEE Transactions on Fuzzy Systems
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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