Rafael Alcalá
Orcid: 0000-0003-1140-6156
According to our database1,
Rafael Alcalá
authored at least 79 papers
between 1999 and 2024.
Collaborative distances:
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Bibliography
2024
Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study.
Artif. Intell. Medicine, 2024
Prediction of Continuous Targets by Explainable Imbalanced Regression from Omics Data in Childhood Obesity.
Proceedings of the First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024) co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024
2023
Enhancing soft computing techniques to actively address imbalanced regression problems.
Expert Syst. Appl., December, 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
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
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
2017
IEEE Trans. Fuzzy Syst., 2017
2014
Comparison and design of interpretable linguistic vs. scatter FRBSs: Gm3m generalization and new rule meaning index for global assessment and local pseudo-linguistic representation.
Inf. Sci., 2014
METSK-HD<sup>e</sup>: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems.
Inf. Sci., 2014
A multi-objective evolutionary method for learning granularities based on fuzzy discretization to improve the accuracy-complexity trade-off of fuzzy rule-based classification systems: D-MOFARC algorithm.
Appl. Soft Comput., 2014
2013
A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions.
IEEE Trans. Fuzzy Syst., 2013
A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off.
Knowl. Based Syst., 2013
Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities.
Proceedings of the 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2013
Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems.
Proceedings of the FUZZ-IEEE 2013, 2013
2012
Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems.
Int. J. Comput. Intell. Syst., 2012
A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems.
Appl. Intell., 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
A case study on the application of instance selection techniques for Genetic Fuzzy Rule-Based Classifiers.
Proceedings of the FUZZ-IEEE 2012, 2012
2011
A Fast and Scalable Multiobjective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems.
IEEE Trans. Fuzzy Syst., 2011
A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning.
IEEE Trans. Fuzzy Syst., 2011
Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions.
Soft Comput., 2011
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures.
Inf. Sci., 2011
A Double Axis Classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems.
Proceedings of the Fuzzy Logic and Applications - 9th International Workshop, 2011
Evolutionary Multi-Objective Algorithm to effectively improve the performance of the classic tuning of fuzzy logic controllers for a heating, ventilating and Air Conditioning system.
Proceedings of the 5th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2011
Evolutionary learning of a laser pointer detection fuzzy system for an environment control system.
Proceedings of the FUZZ-IEEE 2011, 2011
Musical genre classification by means of Fuzzy Rule-Based Systems: A preliminary approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems.
Proceedings of the Parallel and Distributed Computational Intelligence, 2010
Integration of an Index to Preserve the Semantic Interpretability in the Multiobjective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems.
IEEE Trans. Fuzzy Syst., 2010
A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems.
Expert Syst. Appl., 2010
Analysis of the Performance of a Semantic Interpretability-Based Tuning and Rule Selection of Fuzzy Rule-Based Systems by Means of a Multi-Objective Evolutionary Algorithm.
Proceedings of the Trends in Applied Intelligent Systems, 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
A Multiobjective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy-Rule-Based Systems.
IEEE Trans. Fuzzy Syst., 2009
Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems.
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
Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems.
Evol. Intell., 2009
Appl. Intell., 2009
Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Generating single granularity-based fuzzy classification rules for multiobjective genetic fuzzy rule selection.
Proceedings of the FUZZ-IEEE 2009, 2009
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology 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
Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 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
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
A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems.
Eng. Appl. Artif. Intell., 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
2004
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004
2003
Int. J. Approx. Reason., 2003
Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolutionary learning.
Integr. Comput. Aided Eng., 2003
Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models.
Proceedings of the Modelling with Words, 2003
Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003
2002
Proceedings of the 2002 ACM Symposium on Applied Computing (SAC), 2002
Insurance Market Risk Modeling with Hierarchical Fuzzy Rule Based Systems.
Proceedings of the ICEIS 2002, 2002
Proceedings of the Advances in Artificial Intelligence, 2002
2001
Building fuzzy graphs: Features and taxonomy of learning for non-grid-oriented fuzzy rule-based systems.
J. Intell. Fuzzy Syst., 2001
Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution.
Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, 2001
1999
Proceedings of the EUSFLAT-ESTYLF Joint Conference, 1999