Jesús Alcalá-Fdez
Orcid: 0000-0002-6190-3575Affiliations:
- University of Granada, Department Computer Science and Artificial Intelligence, Spain
According to our database1,
Jesús Alcalá-Fdez
authored at least 74 papers
between 2003 and 2023.
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Bibliography
2023
Enhancing soft computing techniques to actively address imbalanced regression problems.
Expert Syst. Appl., December, 2023
Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression.
Comput. Methods Programs Biomed., October, 2023
Shared gene expression signatures between visceral adipose and skeletal muscle tissues are associated with cardiometabolic traits in children with obesity.
Comput. Biol. Medicine, September, 2023
Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy.
Fuzzy Sets Syst., August, 2023
2022
Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension.
Int. J. Fuzzy Syst., 2022
Mining high average-utility sequential rules to identify high-utility gene expression sequences in longitudinal human studies.
Expert Syst. Appl., 2022
Human Multi-omics Data Pre-processing for Predictive Purposes Using Machine Learning: A Case Study in Childhood Obesity.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022
Gene Expression Profiles of Visceral and Subcutaneous Adipose Tissues in Children with Overweight or Obesity: The KIDADIPOSEQ Project.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022
2021
An approach to bridge the gap between ubiquitous embedded devices and JFML: A new module for Internet of Things.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
2020
Temporal association rule mining: An overview considering the time variable as an integral or implied component.
WIREs Data Mining Knowl. Discov., 2020
eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research.
PLoS Comput. Biol., 2020
2019
Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems.
IEEE Access, 2019
Describing Sequential Association Patterns from Longitudinal Microarray Data Sets in Humans.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
VisualJFML: A Visual Environment for Designing Fuzzy Systems according to IEEE Std 1855-2016.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
2018
Evolutionary data mining and applications: A revision on the most cited papers from the last 10 years (2007-2017).
WIREs Data Mining Knowl. Discov., 2018
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems.
Knowl. Based Syst., 2018
Int. J. Comput. Intell. Syst., 2018
JFML: A Java Library to Design Fuzzy Logic Systems According to the IEEE Std 1855-2016.
IEEE Access, 2018
Interoperability for Embedded Systems in JFML Software: An Arduino-based implementation.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
2017
IEEE Trans. Fuzzy Syst., 2017
Int. J. Comput. Intell. Syst., 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends, and Prospects.
IEEE Trans. Fuzzy Syst., 2016
NICGAR: A Niching Genetic Algorithm to mine a diverse set of interesting quantitative association rules.
Inf. Sci., 2016
IEEE Comput. Intell. Mag., 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
2015
Genetic learning of the membership functions for mining fuzzy association rules from low quality data.
Inf. Sci., 2015
2014
A New Multiobjective Evolutionary Algorithm for Mining a Reduced Set of Interesting Positive and Negative Quantitative Association Rules.
IEEE Trans. Evol. Comput., 2014
QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules.
Inf. Sci., 2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
2013
jFuzzyLogic: a Java Library to Design Fuzzy Logic Controllers According to the Standard for Fuzzy Control Programming.
Int. J. Comput. Intell. Syst., 2013
Int. J. Comput. Intell. Syst., 2013
A new fingram-based software tool for visual representation and analysis of fuzzy association rules.
Proceedings of the FUZZ-IEEE 2013, 2013
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013
2012
Expert Syst. Appl., 2012
Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments.
Appl. Intell., 2012
jFuzzyLogic: a robust and flexible Fuzzy-Logic inference system language implementation.
Proceedings of the FUZZ-IEEE 2012, 2012
2011
A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning.
IEEE Trans. Fuzzy Syst., 2011
KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework.
J. Multiple Valued Log. Soft Comput., 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Evolutionary learning of a laser pointer detection fuzzy system for an environment control system.
Proceedings of the FUZZ-IEEE 2011, 2011
2010
Analysis of the Effectiveness of the Genetic Algorithms based on Extraction of Association Rules.
Fundam. Informaticae, 2010
A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems.
Expert Syst. Appl., 2010
A fuzzy associative classification system with genetic rule selection for high-dimensional problems.
Proceedings of the 4th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2010
Genetic tuning of a laser pointer environment control device system for handicapped people with fuzzy systems.
Proceedings of the FUZZ-IEEE 2010, 2010
2009
Soft Comput., 2009
Int. J. Intell. Syst., 2009
Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms.
Fuzzy Sets Syst., 2009
Appl. Intell., 2009
Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009
Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
2008
On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection.
Proceedings of the Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, 2008
Fuzzy-genetic optimization of the parameters of a low cost system for the optical measurement of several dimensions of vehicles.
Soft Comput., 2008
Int. J. Intell. Syst., 2008
Proceedings of the 3rd International Workshop on Genetic and Evolving Systems, 2008
2007
Guest Editorial Genetic Fuzzy Systems: What's Next? An Introduction to the Special Section.
IEEE Trans. Fuzzy Syst., 2007
A Proposal for the Genetic Lateral Tuning of Linguistic Fuzzy Systems and Its Interaction With Rule Selection.
IEEE Trans. Fuzzy Syst., 2007
Rule Base Reduction and Genetic Tuning of Fuzzy Systems Based on the Linguistic 3-tuples Representation.
Soft Comput., 2007
A Multi-Objective Genetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2007
Local identification of prototypes for genetic learning of accurate TSK fuzzy rule-based systems.
Int. J. Intell. Syst., 2007
Int. J. Intell. Syst., 2007
Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation.
Int. J. Approx. Reason., 2007
Proceedings of the FUZZ-IEEE 2007, 2007
A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems.
Proceedings of the FUZZ-IEEE 2007, 2007
2006
Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling.
Soft Comput., 2006
Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2006
Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems.
Proceedings of the Advances in Applied Artificial Intelligence, 2006
2005
Genetic Learning of the Knowledge Base of a Fuzzy System by Using the Linguistic 2-Tuples Representation.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005
Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005
2003
Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003