Líneas de investigación

María José Gacto Colorado

Contacto

mjgacto@ugrQ7P_eVa.es

Organismo

UGR

Líneas de investigación


Researcher Profile

Total Desde 2019:
Citas Total: 2241 Desde 2019: 738
Índice H Total: 17 Desde 2019: 14
Índice i10 Total: 26 Desde 2019: 14

Publicaciones (54)

Título Autores Año
Machine learning regression algorithms for generating chemical element maps from X-ray fluorescence data of paintings JR de Miras, MJ Gacto, MR Blanc, G Arroyo, L López, JC Torres, D Martín. 2024
A comparative analysis of machine learning methods for display characterization K Almutairi, S Morillas, P Latorre-Carmona, M Dansoko, MJ Gacto. 2024
Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy C Biedma-Rdguez, MJ Gacto, A Anguita-Ruiz, R Alcalá, CM Aguilera, .... 2023
Shared gene expression signatures between visceral adipose and skeletal muscle tissues are associated with cardiometabolic traits in boys with obesity M Bustos-Aibar, CM Aguilera, J Alcalá-Fdez, FJ Ruiz-Ojeda, J Plaza-Díaz, .... 2023
Enhancing soft computing techniques to actively address imbalanced regression problems M Arteaga, MJ Gacto, M Galende, J Alcalá-Fdez, R Alcalá. 2023
Shared gene expression signatures between visceral adipose and skeletal muscle tissues are associated with cardiometabolic traits in children with obesity M Bustos-Aibar, CM Aguilera, J Alcalá-Fdez, FJ Ruiz-Ojeda, J Plaza-Díaz, .... 2023
Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension C Biedma-Rdguez, MJ Gacto, A Anguita-Ruiz, J Alcalá-Fdez, R Alcalá. 2022
Meta-Fuzzy Items for Fuzzy Association Rules C Biedma-Rdguez, MJ Gacto, R Alcalá, J Alcalá-Fdez. 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 M Martínez-Rojas, MJ Gacto, A Vitiello, G Acampora, JM Soto-Hidalgo. 2021
Temporal association rule mining: An overview considering the time variable as an integral or implied component A Seguro-Delgado, MJ Gacto, R Alcalá, J Alcalá-Fdez. 2020
Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems MJ Gacto, JM Soto-Hidalgo, J Alcalá-Fdez, R Alcalá. 2019
Evolutionary data mining and applications: A revision on the most cited papers from the last 10 years (2007–2017) R Alcalá, MJ Gacto, J Alcalá‐Fdez. 2018
METSK-HDe: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems MJ Gacto, M Galende, R Alcalá, F Herrera. 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 M Galende, MJ Gacto, G Sainz, R Alcalá. 2014
Obtaining accurate TSK fuzzy rule-based systems by multi-objective evolutionary learning in high-dimensional regression problems MJ Gacto, M Galende, R Alcalá, F Herrera. 2013
Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD CJ Carmona, P González, MJ Gacto, MJ del Jesús. 2012
A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems MJ Gacto, R Alcalá, F Herrera. 2012
Mining fuzzy association rules from low-quality data AM Palacios, MJ Gacto, J Alcalá-Fdez. 2012
Automatic laser pointer detection algorithm for environment control device systems based on template matching and genetic tuning of fuzzy rule-based systems F Chávez, F Fernández, MJ Gacto, R Alcala. 2012
AJUSTE GENÉTICO LATERAL DE LAS ETIQUETAS LINGÜÍSTICAS EN DESCUBRIMIENTO DE SUBGRUPOS CJ Carmona, P González, MJ Gacto, MJ del Jesus. 2012
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures MJ Gacto, R Alcalá, F Herrera. 2011
A fast and scalable multiobjective genetic fuzzy system for linguistic fuzzy modeling in high-dimensional regression problems R Alcalá, MJ Gacto, F Herrera. 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 … MJ Gacto, R Alcalá, F Herrera. 2011
A double axis classification of interpretability measures for linguistic fuzzy rule-based systems MJ Gacto, R Alcalá, F Herrera. 2011
Integration of an index to preserve the semantic interpretability in the multiobjective evolutionary rule selection and tuning of linguistic fuzzy systems MJ Gacto, R Alcalá, F Herrera. 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 MJ Gacto, R Alcalá, F Herrera. 2010
3.1. Propuesta Inicial de un Algoritmo Evolutivo Multi-Objetivo para Proble-mas de Regresión R Alcalá, MJ Gacto, F Herrera, J Alcalá-Fdez. 2010
Integration of… Interpretability in the Multiobjective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems MJ Gacto, R Alcalá, F Herrera. 2010
Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms J Alcalá-Fdez, R Alcalá, MJ Gacto, F Herrera. 2009
Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems MJ Gacto, R Alcalá, F Herrera. 2009
Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. 2009
A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability. MJ Gacto, R Alcalá, F Herrera. 2009
Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm MJ Gacto, R Alcalá, F Herrera. 2009
Erratum to: Applied Intelligence, Volume 31 (1) A Felfernig, G Friedrich, K Isak, K Shchekotykhin, E Teppan, D Jannach, .... 2009
Algoritmo Genético Multi-Objetivo Avanzado para el ajuste de un sistema difuso aplicado al Control de Sistemas de Ventilacion M Gacto, R Alcalá, F Herrera. 2009
Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems (vol 31, pg 15, 2009) R Alcala, J Alcala-Fdez, MJ Gacto, F Herrera. 2009
An improved multi-objective genetic algorithm for tuning linguistic fuzzy systems MJ Gacto, R Alcalá, F Herrera. 2008
On the usefulness of MOEAs for getting compact FRBSs under parameter tuning and rule selection R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. 2008
Multi-objective genetic fuzzy systems: on the necessity of including expert knowledge in the MOEA design process MJ Gacto, R Alcala, F Herrera. 2008
association J Alcalá-fdez, R Alcalá, MJ Gacto, F Herrera. 2008
Multi-Objective Genetic Fuzzy Systems: On the Necessity of Including Expert Knowledge MJ Gacto. 2008
A multi-objective genetic algorithm for tuning and rule selection to obtain accurate and compact linguistic fuzzy rule-based systems R Alcalá, MJ Gacto, F Herrera, J Alcalá-Fdez. 2007
Rule base reduction and genetic tuning of fuzzy systems based on the linguistic 3-tuples representation R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. 2007
Genetic learning of membership functions for mining fuzzy association rules R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. 2007
A multi-objective evolutionary algorithm for rule selection and tuning on fuzzy rule-based systems R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. 2007
A multi-objective evolutionary algorithm for rule selection and… R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. 2007
A genetic-programming-based approach for the learning of compact fuzzy rule-based classification systems FJ Berlanga, MJ del Jesús, MJ Gacto, F Herrera. 2006
Fuzzy rule reduction and tuning of fuzzy logic controllers for a HVAC system R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. 2006
Genetic lateral and amplitude tuning with rule selection for fuzzy control of heating, ventilating and air conditioning systems R Alcalá, J Alcala-Fdez, FJ Berlanga, MJ Gacto, F Herrera. 2006
Improving fuzzy rule-based decision models by means of a genetic 2-tuples based tuning and the rule selection R Alcalá, J Alcalá-Fdez, FJ Berlanga, MJ Gacto, F Herrera. 2006
Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning R Alcalá, J Alcalá-Fdez, FJ Berlanga, MJ Gacto, F Herrera. 2006
FOCUS Rule base reduction and genetic tuning of fuzzy systems based R Alcalá, J Alcalá-fdez, M José, GF Herrera, J Alcalá-fdez, MJ Gacto, .... 2006
INRECS: Índice de impacto de las revistas españolas de ciencias sociales. E Delgado-López-Cózar, R Ruiz-Pérez, E Jiménez-Contreras, .... 2005
Genetic lateral and amplitude tuning of membership functions for fuzzy systems R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. 2005
Índice de Impacto de las Revistas Españolas de Ciencias Sociales [Comunicación] E Jiménez-Contreras, E Delgado-López-Cózar, R Ruiz-Pérez, .... 2005
Linguistic modeling with hierarchical systems of weighted linguistic rules R Alcalá, JR Cano, O Cordón, F Herrera, P Villar, I Zwir. 2003

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