Jesús Alcalá Fernández

Contact

jalcala@deHPWEy1q8csai.ugr.es

Organization

UGR

Elsevier - SCOPUS Highly Cited Researcher 2020 - CV -


Researcher Profile

Total From 2019:
Citas Total: 8489 From 2019: 3672
Índice H Total: 30 From 2019: 22
Índice i10 Total: 54 From 2019: 32

Papers (125)

Title Authors Year
Omics Data Preprocessing for Machine Learning: A Case Study in Childhood Obesity Á Torres-Martos, M Bustos-Aibar, A Ramírez-Mena, S Cámara-Sánchez, .... 2023
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
Big Data and Machine Learning as Tools for the Biomedical Field A Anguita-Ruiz, CM Aguilera, A Torres-Martos, M Bustos, FJ Ruiz-Ojeda, .... 2023
Epigenetic Alterations in the Estrogen Receptor Accompany the Development of Obesity-Associated Insulin Resistance during Sexual Maturation A Anguita-Ruiz, J Alcala-Fdez, A Torres-Martos, G Bueno, M Gil-Campos, .... 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
Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression A Ramírez-Mena, E Andrés-León, MJ Alvarez-Cubero, A Anguita-Ruiz, .... 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
Mining high average-utility sequential rules to identify high-utility gene expression sequences in longitudinal human studies A Segura-Delgado, A Anguita-Ruiz, R Alcalá, J Alcalá-Fdez. 2022
Gene Expression Profiles of Visceral and Subcutaneous Adipose Tissues in Children with Overweight or Obesity: The KIDADIPOSEQ Project M Bustos-Aibar, A Anguita-Ruiz, Á Torres-Martos, J Alcalá-Fdez, .... 2022
Human Multi-omics Data Pre-processing for Predictive Purposes Using Machine Learning: A Case Study in Childhood Obesity Á Torres-Martos, A Anguita-Ruiz, M Bustos-Aibar, S Cámara-Sánchez, .... 2022
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
Integrative analysis of blood cells DNA methylation, transcriptomics and genomics identifies novel epigenetic regulatory mechanisms of insulin resistance during puberty in … A Anguita-Ruiz, A Torres-Martos, F Ruiz-Ojeda, J Alcala-Fdez, G Bueno, .... 2022
Prediction of metabolic risk in childhood obesity using machine learning models with multi-omics data A Torres-Martos, A Anguita-Ruiz, M Bustos-Aibar, R Alcala, J Alcala-Fdez, .... 2022
Meta-Fuzzy Items for Fuzzy Association Rules C Biedma-Rdguez, MJ Gacto, R Alcalá, J Alcalá-Fdez. 2021
Omics Approaches in Adipose Tissue and Skeletal Muscle Addressing the Role of Extracellular Matrix in Obesity and Metabolic Dysfunction A Anguita-Ruiz, M Bustos-Aibar, J Plaza-Díaz, A Mendez-Gutierrez, .... 2021
An approach to bridge the gap between ubiquitous embedded devices and JFML: A new module for Internet of Things FJ Rodriguez-Lozano, JC Gámez-Granados, O Banos, J Alcalá-Fdez, .... 2021
eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research A Anguita-Ruiz, A Segura-Delgado, R Alcalá, CM Aguilera, J Alcalá-Fdez. 2020
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
Evaluation of the Predictive Ability, Environmental Regulation and Pharmacogenetics Utility of a BMI-Predisposing Genetic Risk Score during Childhood and Puberty A Anguita-Ruiz, EM González-Gil, AI Rupérez, FJ Llorente-Cantarero, .... 2020
Design of Fuzzy Controllers for Embedded Systems With JFML JM Soto-Hidalgo, A Vitiello, JM Alonso, G Acampora, J Alcala-Fdez. 2019
Py4JFML: A Python wrapper for using the IEEE Std 1855-2016 through JFML J Alcala-Fdez, JM Alonso, C Castiello, C Mencar, JM Soto-Hidalgo. 2019
VisualJFML: A Visual Environment for Designing Fuzzy Systems according to IEEE Std 1855-2016 G Acampora, J Alcala-Fdez, R Siciliano, JM Soto-Hidalgo, A Vitiello. 2019
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
MRQAR: a generic MapReduce framework to discover Quantitative Association Rules in Big Data problems D Martin, M Martinez-Ballesteros, D Garcia-Gil, J Alcala-Fdez, .... 2018
Evolutionary data mining and applications: A revision on the most cited papers from the last 10 years (2007–2017) R Alcala, MJ Gacto, J Alcala-Fdez. 2018
JFML: A Java Library to Design Fuzzy Logic Systems According to the IEEE Std 1855-2016 JM Soto-Hidalgo, JM Alonso, G Acampora, J Alcalá-Fdez. 2018
Nuevo Módulo de Conexión Inalámbrico vía Bluetooth con Arduino en la Librería JFML FJ Arcos, JM Soto-Hidalgo, A Vitiello, G Acampora, J Alcala-Fdez. 2018
Interoperability for Embedded Systems in JFML Software: An Arduino-based implementation FJ Arcos, JM Soto-Hidalgo, A Vitiello, G Acampora, J Alcala-Fdez. 2018
Analyzing gender disparities in STEAM: A Case Study from Bioinformatics Workshops in the University of Granada E Ruiz, C del Val, R Alcalá, A Fernández, C Cano, W Fajardo, .... 2018
KEEL 3.0: an open source software for multi-stage analysis in data mining I Triguero, S González, JM Moyano, S García López, J Alcalá Fernández, .... 2017
Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification J Alcala-Fdez, R Alcala, S Gonzalez, Y NOJIMA, S Garcia. 2017
2017 Index IEEE Transactions on Fuzzy Systems Vol. 25 M Aggarwal, V Agrawal, A Ahmadian, BS Ahn, CK Ahn, Z Ai, MG Akbari, .... 2017
Can Bioinformatics close the gender gap in STEM skills? : Reflections from the I Bioinformatics UGR Workshop C del Val, E Ruiz, R Alcala, A Fernandez, C Cano, W Fajardo, .... 2017
Comparison of KEEL versus open source Data Mining tools: Knime and Weka software I Triguero, S González, JM Moyano, S García, J Alcala-Fdez, J Luengo, .... 2016
A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends and Prospects J Alcalá-Fdez, JM Alonso. 2016
NICGAR: a Niching Genetic Algorithm to Mine a Diverse Set of Interesting Quantitative Association Rules D Martín, J Alcalá-Fdez, A Rosete, F Herrera. 2016
2016 Index IEEE Transactions on Fuzzy Systems Vol. 24 RK Agarwal, M Aggarwal, C Aguilar-Pena, MN Ahmadabadi, .... 2016
2016 Index IEEE Computational Intelligence Magazine Vol. 11 H Abbass, N Agell, M Alamgir, J Alcala-Fdez, C Alippi, J Alonso, Y Altun, .... 2016
New Open Source Modules in KEEL to Analyze and Export Fuzzy Association Rules A Segura, R Perez-Perez, J Alcala-Fdez. 2016
Special Issue on Computational Intelligence Software J Alcalá-Fdez, JM Alonso, O Cordón. 2016
Genetic learning of the membership functions for mining fuzzy association rules from low quality data AM Palacios, JL Palacios, L Sánchez, J Alcalá-Fdez. 2015
MOPNAR-BigData: un diseno MapReduce para la extracción de reglas de asociación cuantitativas en problemas de Big Data D Martín, M Martínez-Ballesteros, S Río, J Alcalá-Fdez, J Riquelme, .... 2015
QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules D Martín, A Rosete, J Alcalá-Fdez, F Herrera. 2014
Analyzing fuzzy association rules with Fingrams in KEEL DP Pancho, JM Alonso, J Alcalá-Fdez, L Magdalena. 2014
Harnessing the information contained in low-quality data sources. I Couso, L Sánchez, L Garrido, A Alvarez, L Pozueco, S Cabrero, .... 2014
Harnessing the information contained in low-quality data sources I Couso, L Sánchez. 2014
jFuzzyLogic: a java library to design fuzzy logic controllers according to the standard for fuzzy control programming P Cingolani, J Alcalá-Fdez. 2013
A new multiobjective evolutionary algorithm for mining a reduced set of interesting positive and negative quantitative association rules D Martin, A Rosete, J Alcalá-Fdez, F Herrera. 2013
Interpretability analysis of fuzzy association rules supported by fingrams DP Pancho, JM Alonso, J Alcalá-Fdez, L Magdalena. 2013
A new fingram-based software tool for visual representation and analysis of fuzzy association rules DP Pancho, JM Alonso, J Alcalá-Fdez. 2013
Special issue on software tools for soft computing J Alcalá-Fdez, JM Alonso. 2013
Acknowledgements to Referees 2012 ZA Rabi, C Acevedo, EA Cebrián, H Akrami, JP Alarcon, EA Conejo, .... 2013
Mining fuzzy association rules from low-quality data AM Palacios, MJ Gacto, J Alcalá-Fdez. 2012
jFuzzyLogic: a robust and flexible Fuzzy-Logic inference system language implementation P Cingolani, J Alcala-Fdez. 2012
Financial time series forecasting with a bio-inspired fuzzy model JL Aznarte, J Alcalá-Fdez, A Arauzo-Azofra, JM Benítez. 2012
Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments F Chávez, F Fernández, R Alcalá, J Alcalá-Fdez, G Olague, F Herrera. 2012
Keel data-mining software tool: data set repository, integration of algorithms and experimental analysis framework. J Alcalá-Fdez, A Fernández, J Luengo, J Derrac, S García, L Sánchez, .... 2011
Using KEEL software as a educational tool: A case of study teaching data mining J Derrac, J Luengo, J Alcala-Fdez, A Fernandez, S Garcia. 2011
Soft Computing Techniques in Data Mining. J Alcalá-Fdez, F Herrera, H Ishibuchi, Y Kaisho, Y Nojima, BC Chien, .... 2011
KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework J Alcala-Fdez, A Fernández, J Luengo, J Derrac, S García, L Sánchez, .... 2011
A fuzzy association rule-based classification model for high-dimensional problems with genetic rule selection and lateral tuning J Alcala-Fdez, R Alcala, F Herrera. 2011
A multi-objective evolutionary algorithm for mining quantitative association rules D Martín, A Rosete, J Alcalá-Fdez, F Herrera. 2011
Evolutionary learning of a laser pointer detection fuzzy system for an environment control system F Chávez, F Fernández, R Alcalá, J Alcalá-Fdez, F Herrera. 2011
Fuzzy Autoregressive Rules: Towards Linguistic Time Series Modeling JL Aznarte, J Alcala-Fdez, A Arauzo, JM Benítez. 2011
2011 Index IEEE Transactions on Fuzzy Systems Vol. 19 G Acampora, J Adamy, S Aghakhani, R Alcala, J Alcala-Fdez, J An, .... 2011
Introduction to the experimental design in the data mining tool KEEL J Alcalá-Fdez, F Herrera, S García, MJ del Jesus, L Sánchez, .... 2010
Analysis of the Effectiveness of the Genetic Algorithms based on Extraction of Association Rules J Alcala-Fdez, N Flugy-Pape, A Bonarini, F Herrera. 2010
A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems M Mucientes, J Alcalá-Fdez, R Alcalá, J Casillas. 2010
Genetic tuning of a laser pointer environment control device system for handicapped people with fuzzy systems F Chávez, F Fernández, J Alcalá-Fdez, R Alcalá, F Herrera, G Olague. 2010
A fuzzy associative classification system with genetic rule selection for high-dimensional problems J Alcalá-Fdéz, 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
Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. 2009
KEEL: a software tool to assess evolutionary algorithms for data mining problems J Alcalá-Fdez, L Sanchez, S Garcia, MJ del Jesus, S Ventura, JM Garrell, .... 2009
Implementation and integration of algorithms into the KEEL data-mining software tool A Fernández, J Luengo, J Derrac, J Alcalá-Fdez, F Herrera. 2009
Learning weighted linguistic rules to control an autonomous robot M Mucientes, R Alcalá, J Alcalá‐Fdez, J Casillas. 2009
Evolutionary extraction of association rules: A preliminary study on their effectiveness NF Papè, J Alcalá-Fdez, A Bonarini, F Herrera. 2009
Nuevas perspectivas en el autocuidado del paciente urológico: prevención del uso de materiales de un solo uso reesterilizados EG García, AH Álvarez, JAC Alcalá, JIG Cecilio, AR Merino. 2009
Intervención de enfermería ante el temor en Urología ambulatoria:¿ se benefician nuestros pacientes? EG García, AH Álvarez, JAC Alcalá, JIG Cecilio, AR Merino. 2009
Timespan= All years. Databases= SCI-EXPANDED, SSCI, A&HCI, CPCI-S, CPCI-SSH. J Alcala-Fdez, L Sanchez, S Garcia. 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
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
KEEL: A data mining software tool integrating genetic fuzzy systems J Alcalá-Fdez, S García, FJ Berlanga, A Fernández, L Sánchez, .... 2008
A consistency‐based procedure to estimate missing pairwise preference values S Alonso, F Chiclana, F Herrera, E Herrera‐Viedma, J Alcalá‐Fdez, .... 2008
Fuzzy-genetic optimization of the parameters of a low cost system for the optical measurement of several dimensions of vehicles J Otero, L Sánchez, J Alcalá-Fdez. 2008
association J Alcalá-fdez, R Alcalá, MJ Gacto, F Herrera. 2008
Soft Comput J Alcalá-fdez, L Sánchez, S García, MJ Jesus, S Ventura, JM Garrell, .... 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 proposal for the genetic lateral tuning of linguistic fuzzy systems and its interaction with rule selection R Alcalá, J Alcalá-Fdez, F Herrera. 2007
Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation R Alcalá, J Alcalá-Fdez, F Herrera, J Otero. 2007
Local identification of prototypes for genetic learning of accurate TSK fuzzy rule‐based systems R Alcalá, J Alcalá‐Fdez, J Casillas, O Cordón, F Herrera. 2007
Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems J Alcalá‐Fdez, F Herrera, F Márquez, A Peregrín. 2007
Guest editorial genetic fuzzy systems: what's next? an introduction to the special section O Cordon, R Alcala, J Alcala-Fdez, I Rojas. 2007
Special section on genetic fuzzy systems O Cordón, R Alcalá, J Alcalá-Fdez, I Rojas. 2007
Supported by the Spanish Ministry of Science and Technology under Projects TIN-2005-08386-C05-05 and TIN-2005-08386-C05-01. J Otero, L Sánchez, J Alcalá-fdez. 2007
A multi-objective evolutionary algorithm for rule selection and… R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. 2007
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
Hybrid learning models to get the interpretability–accuracy trade-off in fuzzy modeling R Alcalá, J Alcalá-Fdez, J Casillas, O Cordón, 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
Genetic lateral and amplitude tuning of membership functions for fuzzy systems R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. 2005
Genetic learning of the knowledge base of a fuzzy system by using the linguistic 2-tuples representation R Alcalá, J Alcalá-Fdez, F Herrera, J Otero. 2005
Assessing the differences in accuracy between GFSs with bootstrap tests. L Sánchez, J Otero, J Alcalá-Fdez. 2005
A new genetic fuzzy system based on linguistic 2-tuples to learn knowledge bases R Alcalá, J Alcalá-Fdez, F Herrera, J Otero. 2005
Learning weighted linguistic rules for mobile robotics M Mucientes, R Alcalá, J Alcalá-Fdez, J Casillas. 2005
Hybrid learning models to get the interpretability-Accuracy trade-off in fuzzy modeling J Alcala-Fdez, J Casillas, O Cordon, F Herrera. 2005
Proyecto KEEL: Desarrollo de una herramienta para el análisis e implementación de algoritmos de extracción de conocimiento evolutivos J Alcalá-Fdez, MJ del Jesus, JM Garrell, F Herrera, C Herbás, L Sánchez. 2004
Aprendizaje de Pesos y Selección Evolutiva para la Reducción de la Base de Reglas Difusas J Alcalá, R Alcalá, O Cordón, F Herrera. 2004
Linguistic modeling with hierarchical systems of weighted linguistic rules R Alcalá, JR Cano, O Cordón, F Herrera, P Villar, I Zwir. 2003
Genetic learning of accurate TS models based on local fuzzy prototyping. R Alcalá, J Alcalá-Fdez, J Casillas, O Cordón, F Herrera. 2003

Descargando datos de la publicación