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ORCIDJesús Alcalá-Fdez
Jesús Alcalá Fernández
Person information
- affiliation: University of Granada, Department Computer Science and Artificial Intelligence, Spain
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2020 – today
- 2023
[j45]Mireia Bustos-Aibar
, Concepción Maria Aguilera, Jesús Alcalá-Fdez, Francisco Javier Ruiz-Ojeda, Julio Plaza-Díaz, Abel Plaza-Florido, Inés Tofe, Mercedes Gil-Campos, María José Gacto, Augusto Anguita-Ruiz:
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)- [j44]Alberto Ramírez-Mena, Eduardo Andrés León, Maria Jesus Alvarez-Cubero, Augusto Anguita-Ruiz, Luis Javier Martinez-Gonzalez, Jesús Alcalá-Fdez:
Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression. Comput. Methods Programs Biomed. 240: 107719 (2023) - [j43]María Arteaga, María José Gacto, Marta Galende, Jesús Alcalá-Fdez, Rafael Alcalá:
Enhancing soft computing techniques to actively address imbalanced regression problems. Expert Syst. Appl. 234: 121011 (2023) - [j42]Carmen Biedma-Rdguez, María José Gacto, Augusto Anguita-Ruiz, Rafael Alcalá, Concepción Maria Aguilera, Jesús Alcalá-Fdez:
Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy. Fuzzy Sets Syst. 465: 108511 (2023) - 2022
- [j41]Alberto Segura-Delgado, Augusto Anguita-Ruiz, Rafael Alcalá, Jesús Alcalá-Fdez:
Mining high average-utility sequential rules to identify high-utility gene expression sequences in longitudinal human studies. Expert Syst. Appl. 193: 116411 (2022) - [j40]Carmen Biedma-Rdguez, María José Gacto, Augusto Anguita-Ruiz, Jesús Alcalá-Fdez, Rafael Alcalá:
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) - [c28]Mireia Bustos-Aibar, Augusto Anguita-Ruiz, Álvaro Torres-Martos, Jesús Alcalá-Fdez, Francisco Javier Ruiz-Ojeda, Marjorie Reyes-Farias, Andrea Soria-Gondek, Laura Herrero, David Sánchez-Infantes, Concepción Maria Aguilera:
Gene Expression Profiles of Visceral and Subcutaneous Adipose Tissues in Children with Overweight or Obesity: The KIDADIPOSEQ Project. IWBBIO (1) 2022: 42-46 - [c27]Álvaro Torres-Martos, Augusto Anguita-Ruiz, Mireia Bustos-Aibar, Sofia Cámara-Sánchez, Rafael Alcalá, Concepción Maria Aguilera, Jesús Alcalá-Fdez:
Human Multi-omics Data Pre-processing for Predictive Purposes Using Machine Learning: A Case Study in Childhood Obesity. IWBBIO (2) 2022: 359-374 - 2021
- [c26]Carmen Biedma-Rdguez, María José Gacto, Rafael Alcalá, Jesús Alcalá-Fdez:
Meta-Fuzzy Items for Fuzzy Association Rules. FUZZ-IEEE 2021: 1-6 - [c25]Francisco J. Rodríguez-Lozano, Juan Carlos Gámez-Granados, Oresti Banos, Jesús Alcalá-Fdez, José Manuel Soto-Hidalgo:
An approach to bridge the gap between ubiquitous embedded devices and JFML: A new module for Internet of Things. FUZZ-IEEE 2021: 1-6 - 2020
- [j39]Augusto Anguita-Ruiz, Alberto Segura-Delgado, Rafael Alcalá, Concepción Maria Aguilera, Jesús Alcalá-Fdez:
eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research. PLoS Comput. Biol. 16(4) (2020) - [j38]Alberto Segura-Delgado, María José Gacto, Rafael Alcalá, Jesús Alcalá-Fdez:
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
- [j37]María José Gacto, José Manuel Soto-Hidalgo, Jesús Alcalá-Fdez, Rafael Alcalá:
Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems. IEEE Access 7: 108916-108939 (2019) - [c24]Giovanni Acampora, Jesús Alcalá-Fdez, Roberta Siciliano, José M. Soto-Hidalgo, Autilia Vitiello:
VisualJFML: A Visual Environment for Designing Fuzzy Systems according to IEEE Std 1855-2016. FUZZ-IEEE 2019: 1-6 - [c23]Jesús Alcalá-Fdez, José Maria Alonso, Ciro Castiello, Corrado Mencar, José M. Soto-Hidalgo:
Py4JFML: A Python wrapper for using the IEEE Std 1855-2016 through JFML. FUZZ-IEEE 2019: 1-6 - [c22]Augusto Anguita-Ruiz, Alberto Segura-Delgado, Rafael Alcalá, Concepción Maria Aguilera, Jesús Alcalá Fernández:
Describing Sequential Association Patterns from Longitudinal Microarray Data Sets in Humans. IWBBIO (2) 2019: 318-329 - 2018
- [j36]José M. Soto-Hidalgo, José Maria Alonso, Giovanni Acampora, Jesús Alcalá-Fdez:
JFML: A Java Library to Design Fuzzy Logic Systems According to the IEEE Std 1855-2016. IEEE Access 6: 54952-54964 (2018) - [j35]José M. Soto-Hidalgo, Autilia Vitiello, José Maria Alonso, Giovanni Acampora, Jesús Alcalá-Fdez:
Design of Fuzzy Controllers for Embedded Systems With JFML. Int. J. Comput. Intell. Syst. 12(1): 204-214 (2018) - [j34]Diana Martín, María Martínez-Ballesteros, Diego García-Gil, Jesús Alcalá-Fdez, Francisco Herrera, José Cristóbal Riquelme Santos:
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems. Knowl. Based Syst. 153: 176-192 (2018) - [j33]Rafael Alcalá, María José Gacto, Jesús Alcalá-Fdez:
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) - [c21]Francisco Jesus Arcos, José Manuel Soto-Hidalgo, Autilia Vitiello, Giovanni Acampora, Jesús Alcalá-Fdez:
Interoperability for Embedded Systems in JFML Software: An Arduino-based implementation. FUZZ-IEEE 2018: 1-8 - 2017
- [j32]Isaac Triguero, Sergio González, Jose M. Moyano, Salvador García, Jesús Alcalá-Fdez, Julián Luengo, Alberto Fernández, María José del Jesus, Luciano Sánchez, Francisco Herrera:
KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining. Int. J. Comput. Intell. Syst. 10(1): 1238-1249 (2017) - [j31]Jesús Alcalá-Fdez, Rafael Alcalá, Sergio González, Yusuke Nojima, Salvador García:
Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification. IEEE Trans. Fuzzy Syst. 25(6): 1376-1390 (2017) - [c20]Oliver Sanchez, Jose M. Moyano, Luciano Sánchez, Jesús Alcalá-Fdez:
Mining association rules in R using the package RKEEL. FUZZ-IEEE 2017: 1-6 - 2016
- [j30]Jesús Alcalá-Fdez, José Maria Alonso, Oscar Cordón:
Special Issue on Computational Intelligence Software Guest Editorial. IEEE Comput. Intell. Mag. 11(2): 13-14 (2016) - [j29]Diana Martín, Jesús Alcalá-Fdez, Alejandro Rosete, Francisco Herrera:
NICGAR: A Niching Genetic Algorithm to mine a diverse set of interesting quantitative association rules. Inf. Sci. 355-356: 208-228 (2016) - [j28]Jesús Alcalá-Fdez, José Maria Alonso:
A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends, and Prospects. IEEE Trans. Fuzzy Syst. 24(1): 40-56 (2016) - [c19]Alberto Segura-Delgado, Ramón Pérez-Pérez, Jesús Alcalá-Fdez:
New open source modules in KEEL to analyze and export fuzzy association rules. FUZZ-IEEE 2016: 225-232 - 2015
- [j27]Ana Maria Palacios, José Luis Palacios, Luciano Sánchez, Jesús Alcalá-Fdez:
Genetic learning of the membership functions for mining fuzzy association rules from low quality data. Inf. Sci. 295: 358-378 (2015) - 2014
- [j26]Diana Martín Rodríguez, Alejandro Rosete, Jesús Alcalá-Fdez, Francisco Herrera:
QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules. Inf. Sci. 258: 1-28 (2014) - [j25]Diana Martín Rodríguez, Alejandro Rosete, Jesús Alcalá-Fdez, Francisco Herrera:
A New Multiobjective Evolutionary Algorithm for Mining a Reduced Set of Interesting Positive and Negative Quantitative Association Rules. IEEE Trans. Evol. Comput. 18(1): 54-69 (2014) - [c18]David P. Pancho, José Maria Alonso, Jesús Alcalá-Fdez, Luis Magdalena:
Analyzing fuzzy association rules with Fingrams in KEEL. FUZZ-IEEE 2014: 2352-2359 - 2013
- [j24]Jesús Alcalá-Fdez, José Maria Alonso:
Special Issue on Software Tools for Soft Computing. Int. J. Comput. Intell. Syst. 6(sup1): 1-2 (2013) - [j23]Pablo Cingolani, Jesús Alcalá-Fdez:
jFuzzyLogic: a Java Library to Design Fuzzy Logic Controllers According to the Standard for Fuzzy Control Programming. Int. J. Comput. Intell. Syst. 6(sup1): 61-75 (2013) - [c17]David P. Pancho, José Maria Alonso, Jesús Alcalá-Fdez, Luis Magdalena:
Interpretability analysis of fuzzy association rules supported by fingrams. EUSFLAT Conf. 2013 - [c16]David P. Pancho, José Maria Alonso, Jesús Alcalá-Fdez:
A new fingram-based software tool for visual representation and analysis of fuzzy association rules. FUZZ-IEEE 2013: 1-7 - 2012
- [j22]Francisco Chávez de la O, Francisco Fernández, Rafael Alcalá, Jesús Alcalá-Fdez, Gustavo Olague, Francisco Herrera:
Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments. Appl. Intell. 36(2): 407-423 (2012) - [j21]José Luis Aznarte, Jesús Alcalá-Fdez, Antonio Arauzo-Azofra, José Manuel Benítez:
Financial time series forecasting with a bio-inspired fuzzy model. Expert Syst. Appl. 39(16): 12302-12309 (2012) - [j20]Ana M. Palacios, María José Gacto, Jesús Alcalá-Fdez:
Mining fuzzy association rules from low-quality data. Soft Comput. 16(5): 883-901 (2012) - [c15]Pablo Cingolani, Jesús Alcalá-Fdez:
jFuzzyLogic: a robust and flexible Fuzzy-Logic inference system language implementation. FUZZ-IEEE 2012: 1-8 - 2011
- [j19]Jesús Alcalá-Fdez, Francisco Herrera:
Soft Computing Techniques in Data Mining. J. Multiple Valued Log. Soft Comput. 17(2-3): 99-100 (2011) - [j18]Jesús Alcalá-Fdez, Alberto Fernández, Julián Luengo, Joaquín Derrac, Salvador García:
KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework. J. Multiple Valued Log. Soft Comput. 17(2-3): 255-287 (2011) - [j17]Jesús Alcalá-Fdez, Rafael Alcalá, Francisco Herrera:
A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning. IEEE Trans. Fuzzy Syst. 19(5): 857-872 (2011) - [c14]Francisco Chávez de la O, Francisco Fernández, Rafael Alcalá, Jesús Alcalá-Fdez, Francisco Herrera:
Evolutionary learning of a laser pointer detection fuzzy system for an environment control system. FUZZ-IEEE 2011: 256-263 - [c13]Diana Martín Rodríguez, Alejandro Rosete, Jesús Alcalá-Fdez, Francisco Herrera:
A multi-objective evolutionary algorithm for mining quantitative association rules. ISDA 2011: 1397-1402 - 2010
- [j16]Manuel Mucientes, Jesús Alcalá-Fdez, Rafael Alcalá, Jorge Casillas:
A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems. Expert Syst. Appl. 37(2): 1471-1493 (2010) - [j15]Jesús Alcalá-Fdez, Nicolò Flugy Papè, Andrea Bonarini, Francisco Herrera:
Analysis of the Effectiveness of the Genetic Algorithms based on Extraction of Association Rules. Fundam. Informaticae 98(1): 1-14 (2010) - [c12]Francisco Chávez de la O, Francisco Fernández, Jesús Alcalá-Fdez, Rafael Alcalá, Francisco Herrera, Gustavo Olague:
Genetic tuning of a laser pointer environment control device system for handicapped people with fuzzy systems. FUZZ-IEEE 2010: 1-8 - [c11]Jesús Alcalá-Fdez, Rafael Alcalá, Francisco Herrera:
A fuzzy associative classification system with genetic rule selection for high-dimensional problems. GEFS 2010: 33-38
2000 – 2009
- 2009
- [j14]Rafael Alcalá, Jesús Alcalá-Fdez, María José Gacto, Francisco Herrera:
Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems. Appl. Intell. 31(1): 15-30 (2009) - [j13]Jesús Alcalá-Fdez, Rafael Alcalá, María José Gacto, Francisco Herrera:
Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms. Fuzzy Sets Syst. 160(7): 905-921 (2009) - [j12]Manuel Mucientes, Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas:
Learning weighted linguistic rules to control an autonomous robot. Int. J. Intell. Syst. 24(3): 226-251 (2009) - [j11]Jesús Alcalá-Fdez, Luciano Sánchez, Salvador García, María José del Jesus, Sebastián Ventura, Josep Maria Garrell i Guiu, José Otero, Cristóbal Romero, Jaume Bacardit, Víctor M. Rivas, Juan Carlos Fernández, Francisco Herrera:
KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Comput. 13(3): 307-318 (2009) - [c10]Nicolò Flugy Papè, Jesús Alcalá-Fdez, Andrea Bonarini, Francisco Herrera:
Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness. HAIS 2009: 646-653 - [c9]Alberto Fernández, Julián Luengo, Joaquín Derrac, Jesús Alcalá-Fdez, Francisco Herrera:
Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool. IDEAL 2009: 562-569 - 2008
- [j10]Sergio Alonso, Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma, Jesús Alcalá-Fdez, Carlos Porcel:
A consistency-based procedure to estimate missing pairwise preference values. Int. J. Intell. Syst. 23(2): 155-175 (2008) - [j9]José Otero, Luciano Sánchez, Jesús Alcalá-Fdez:
Fuzzy-genetic optimization of the parameters of a low cost system for the optical measurement of several dimensions of vehicles. Soft Comput. 12(8): 751-764 (2008) - [c8]Jesús Alcalá-Fdez, Salvador García, Francisco José Berlanga, Alberto Fernández, Luciano Sánchez, María José del Jesus, Francisco Herrera:
KEEL: A data mining software tool integrating genetic fuzzy systems. GEFS 2008: 83-88 - [p1]Rafael Alcalá, Jesús Alcalá-Fdez, María José Gacto, Francisco Herrera:
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
- [j8]Rafael Alcalá, Jesús Alcalá-Fdez, Francisco Herrera, José Otero:
Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation. Int. J. Approx. Reason. 44(1): 45-64 (2007) - [j7]Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas, Oscar Cordón, Francisco Herrera:
Local identification of prototypes for genetic learning of accurate TSK fuzzy rule-based systems. Int. J. Intell. Syst. 22(9): 909-941 (2007) - [j6]Jesús Alcalá-Fdez, Francisco Herrera, Francisco Alfredo Márquez, Antonio Peregrín:
Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems. Int. J. Intell. Syst. 22(9): 1035-1064 (2007) - [j5]Rafael Alcalá, María José Gacto, Francisco Herrera, Jesús Alcalá-Fdez:
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) - [j4]Rafael Alcalá, Jesús Alcalá-Fdez, María José Gacto, Francisco Herrera:
Rule Base Reduction and Genetic Tuning of Fuzzy Systems Based on the Linguistic 3-tuples Representation. Soft Comput. 11(5): 401-419 (2007) - [j3]Oscar Cordón, Rafael Alcalá, Jesús Alcalá-Fdez, Ignacio Rojas:
Guest Editorial Genetic Fuzzy Systems: What's Next? An Introduction to the Special Section. IEEE Trans. Fuzzy Syst. 15(4): 533-535 (2007) - [j2]Rafael Alcalá, Jesús Alcalá-Fdez, Francisco Herrera:
A Proposal for the Genetic Lateral Tuning of Linguistic Fuzzy Systems and Its Interaction With Rule Selection. IEEE Trans. Fuzzy Syst. 15(4): 616-635 (2007) - [c7]Rafael Alcalá, Jesús Alcalá-Fdez, María José Gacto, Francisco Herrera:
A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems. FUZZ-IEEE 2007: 1-6 - [c6]Rafael Alcalá, Jesús Alcalá-Fdez, María José Gacto, Francisco Herrera:
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules. FUZZ-IEEE 2007: 1-6 - 2006
- [j1]Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas, Oscar Cordón, Francisco Herrera:
Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling. Soft Comput. 10(9): 717-734 (2006) - [c5]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 - [c4]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 - 2005
- [c3]Luciano Sánchez, José Otero, Jesús Alcalá-Fdez:
Assessing the differences in accuracy between GFSs with bootstrap tests. EUSFLAT Conf. 2005: 1021-1026 - [c2]Rafael Alcalá, Jesús Alcalá-Fdez, Francisco Herrera, José Otero:
Genetic Learning of the Knowledge Base of a Fuzzy System by Using the Linguistic 2-Tuples Representation. FUZZ-IEEE 2005: 797-802 - 2003
- [c1]Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas, Oscar Cordón, Francisco Herrera:
Genetic learning of accurate TS models based on local fuzzy prototyping. EUSFLAT Conf. 2003: 105-108
Coauthor Index
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