María José Gacto
Orcid: 0000-0001-9895-9647
According to our database1,
María José Gacto
authored at least 35 papers
between 2006 and 2023.
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Bibliography
2023
Enhancing soft computing techniques to actively address imbalanced regression problems.
Expert Syst. Appl., December, 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
2021
An Internet of Things and Fuzzy Markup Language Based Approach to Prevent the Risk of Falling Object Accidents in the Execution Phase of Construction Projects.
Sensors, 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
2019
Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems.
IEEE Access, 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
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
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
Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD.
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
2011
A Fast and Scalable Multiobjective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems.
IEEE Trans. Fuzzy Syst., 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
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
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
2009
Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems.
Soft Comput., 2009
Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms.
Fuzzy Sets Syst., 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
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
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
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
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
A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems.
Proceedings of the Artificial Intelligence and Soft Computing, 2006