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María José Gacto
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2020 – today
- 2024
- [j23]Khleef Almutairi
, Samuel Morillas, Pedro Latorre-Carmona, Makan Dansoko, María José Gacto:
A comparative analysis of machine learning methods for display characterization. Displays 85: 102849 (2024) - [c13]María Arteaga, Álvaro Torres-Martos, Augusto Anguita-Ruiz, Jesús Alcalá-Fdez, Rafael Alcalá, María José Gacto:
Prediction of Continuous Targets by Explainable Imbalanced Regression from Omics Data in Childhood Obesity. EXPLIMED@ECAI 2024 - 2023
- [j22]Mireia Bustos-Aibar
Shared gene expression signatures between visceral adipose and skeletal muscle tissues are associated with cardiometabolic traits in children with obesity. Comput. Biol. Medicine 163: 107085 (2023) - [j21]María Arteaga
Enhancing soft computing techniques to actively address imbalanced regression problems. Expert Syst. Appl. 234: 121011 (2023) - [j20]Carmen Biedma-Rdguez
Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy. Fuzzy Sets Syst. 465: 108511 (2023) - 2022
- [j19]Carmen Biedma-Rdguez
Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension. Int. J. Fuzzy Syst. 24(7): 3082-3103 (2022) - 2021
- [j18]María Martínez-Rojas
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 21(19): 6461 (2021) - [c12]Carmen Biedma-Rdguez, María José Gacto, Rafael Alcalá
Meta-Fuzzy Items for Fuzzy Association Rules. FUZZ-IEEE 2021: 1-6 - 2020
- [j17]Alberto Segura-Delgado, María José Gacto
Temporal association rule mining: An overview considering the time variable as an integral or implied component. WIREs Data Mining Knowl. Discov. 10(4) (2020)
2010 – 2019
- 2019
- [j16]María José Gacto
Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems. IEEE Access 7: 108916-108939 (2019) - 2018
- [j15]Rafael Alcalá
Evolutionary data mining and applications: A revision on the most cited papers from the last 10 years (2007-2017). WIREs Data Mining Knowl. Discov. 8(2) (2018) - 2014
- [j14]María José Gacto
METSK-HDe: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems. Inf. Sci. 276: 63-79 (2014) - [j13]Marta Galende
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. 282: 190-213 (2014) - 2013
- [c11]María José Gacto, Marta Galende
Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems. FUZZ-IEEE 2013: 1-7 - 2012
- [j12]María José Gacto
A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems. Appl. Intell. 36(2): 330-347 (2012) - [j11]Cristóbal J. Carmona
Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD. Int. J. Comput. Intell. Syst. 5(2): 355-367 (2012) - [j10]Francisco Chávez de la O
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. 5(2): 368-386 (2012) - [j9]Ana M. Palacios, María José Gacto
Mining fuzzy association rules from low-quality data. Soft Comput. 16(5): 883-901 (2012) - 2011
- [j8]María José Gacto
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures. Inf. Sci. 181(20): 4340-4360 (2011) - [j7]Rafael Alcalá
A Fast and Scalable Multiobjective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems. IEEE Trans. Fuzzy Syst. 19(4): 666-681 (2011) - [c10]María José Gacto, Rafael Alcalá
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. GEFS 2011: 73-80 - [c9]María José Gacto, Rafael Alcalá
A Double Axis Classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems. WILF 2011: 99-106 - 2010
- [j6]María José Gacto
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. 18(3): 515-531 (2010) - [c8]María José Gacto, Rafael Alcalá
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. IEA/AIE (2) 2010: 228-238
2000 – 2009
- 2009
- [j5]Rafael Alcalá
Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems. Appl. Intell. 31(1): 15-30 (2009) - [j4]Jesús Alcalá-Fdez
Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms. Fuzzy Sets Syst. 160(7): 905-921 (2009) - [j3]María José Gacto
Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems. Soft Comput. 13(5): 419-436 (2009) - [c7]María José Gacto, Rafael Alcalá, Francisco Herrera:
A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability. IFSA/EUSFLAT Conf. 2009: 1146-1151 - [c6]María José Gacto
Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm. ISDA 2009: 109-114 - 2008
- [p1]Rafael Alcalá
On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 91-107 - 2007
- [j2]Rafael Alcalá
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. 15(5): 539-557 (2007) - [j1]Rafael Alcalá
Rule Base Reduction and Genetic Tuning of Fuzzy Systems Based on the Linguistic 3-tuples Representation. Soft Comput. 11(5): 401-419 (2007) - [c5]Rafael Alcalá
A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems. FUZZ-IEEE 2007: 1-6 - [c4]Rafael Alcalá
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules. FUZZ-IEEE 2007: 1-6 - 2006
- [c3]Francisco José Berlanga, María José del Jesus, María José Gacto, Francisco Herrera:
A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems. ICAISC 2006: 182-191 - [c2]Rafael Alcalá, Jesús Alcalá-Fdez, Francisco José Berlanga, María José Gacto, Francisco Herrera:
Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. IEA/AIE 2006: 452-461 - [c1]Rafael Alcalá, Jesús Alcalá-Fdez, Francisco José Berlanga, María José Gacto, Francisco Herrera:
Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection. MDAI 2006: 317-328
Coauthor Index
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