SCI2S Publications (J. Alcalá-Fdez)

Number of Results: 103

Jump to Year: 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003

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2024 (2)

• [3095] A. Torres-Martos, A. Anguita, J. Alcalá-Fdez. Inteligencia Artificial en Nutrición. In: Á. Gil, M. Gil Campos, E. Martínez de Victoria Muñoz, E. Molina Montes (Eds.): Tratado de Nutrición, Tomo IV - Nutrición Humana en el Estado de Salud, Editorial Médica Panamericana, 2024, 721-734. ISBN 978-84-1106-164-3.
  
• [3100] A. Torres-Martos, A. Anguita-Ruiz, M. Bustos-Aibar, A. Ramírez-Mena, M. Arteaga, G. Bueno, R. Leis, C.M. Aguilera, R. Alcalá, J. Alcalá-Fdez. Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study. Artificial Intelligence in Medicine 156 (2024) 102962. doi: 10.1016/j.artmed.2024.102962
  

2023 (5)

• [3030] Á. Torres-Martos, M. Bustos-Aibar, A. Ramírez-Mena, S. Cámara-Sánchez, A. Anguita-Ruiz, R. Alcalá, C.M. Aguilera, J. Alcalá-Fdez. Omics Data Preprocessing for Machine Learning: A Case Study in Childhood Obesity. Genes 14:2 (2023) 248. doi: 10.3390/genes14020248
  
• [3043] C. Biedma-Rdguez, M.J. Gacto, A. Anguita-Ruiz, R. Alcalá, C.M. Aguilera, J. Alcalá-Fdez. Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy. Fuzzy Sets and Systems 465 (2023) 108511. doi: 10.1016/j.fss.2023.03.014
  
• [3050] M. Bustos-Aibar, C.M. Aguilera, J. Alcalá-Fdez, F.J. Ruiz-Ojeda, J. Plaza, A. Plaza-Florido, I. Tofe, M. Gil-Campos, M.J. Gacto, A. Anguita-Ruiz. Shared gene expression signatures between visceral adipose and skeletal muscle tissues are associated with cardiometabolic traits in boys with obesity. Computers in Biology and Medicine 163 (2023) 107085. doi: 10.1016/j.compbiomed.2023.107085
  
• [3053] A. Ramírez-Mena, E. Andrés-León, M.J. Alvarez-Cubero, A. Anguita-Ruiz, L.J. Martinez-Gonzalez, J. Alcalá-Fdez. Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression. Computer Methods and Programs in Biomedicine 240 (2023) 107719. doi: https://doi.org/10.1016/j.cmpb.2023.107719
  
• [3054] M. Arteaga, M.J. Gacto, M. Galende, J. Alcalá-Fdez, R. Alcalá. Enhancing soft computing techniques to actively address imbalanced regression problems. Expert Systems with Applications 234 (2023) 121011. doi: 10.1016/j.eswa.2023.121011
  

2022 (5)

• [2961] A. Segura-Delgado, A. Anguita-Ruiz, R. Alcalá, J. Alcalá-Fdez. Mining high average-utility sequential rules to identify high-utility gene expression sequences in longitudinal human studies. Expert Systems with Applications 193 (2022) 116411. doi: 10.1016/j.eswa.2021.116411
  
• [2995] A. Torres-Martos, A. Anguita-Ruiz, M. Bustos-Aibar, S. Cámara-Sánchez, R. Alcalá, C.M. Aguilera, J. Alcalá-Fdez. Human Multi-omics Data Pre-processing for Predictive Purposes Using Machine Learning: A Case Study in Childhood Obesity. 9th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2022), Lecture Notes in Bioinformatics (LNBI) 13347, Gran Canaria (Spain), 359-374, June 27-30, 2022. doi: 10.1007/978-3-031-07802-6_31
  
• [2996] M. Bustos-Aibar, A. Anguita-Ruiz, A. Torres-Martos, J. Alcalá-Fdez, F.J. Ruiz-Ojeda, M. Reyes-Farias, A. Soria-Gondek, L. Herrero, D. Sánchez-Infantes, C.M. Aguilera. Gene Expression Profiles of Visceral and Subcutaneous Adipose Tissues in Children with Overweight or Obesity: The KIDADIPOSEQ Project. 9th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2022), Lecture Notes in Bioinformatics (LNBI) 13346, Gran Canaria (Spain), 42-46, June 27-30, 2022. doi: 10.1007/978-3-031-07704-3_4
  
• [2998] C. Biedma-Rdguez, M.J. Gacto, A. Anguita-Ruiz, J. Alcalá-Fdez, R. Alcalá. Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension. International Journal of Fuzzy Systems 24 (2022) 3082–3103. doi: 10.1007/s40815-022-01324-w
  
• [3044] A. Anguita-Ruiz, J. Alcalá-Fdez, A. Torres-Martos, G. Bueno, M Gil-Campos, L. Moreno, A. Gil, R. Leis, C.M. Aguilera. Epigenetic Alterations in the Estrogen Receptor Accompany the Development of Obesity-Associated Insulin Resistance during Sexual Maturation. Ibero-American Nutrition Foundation (FINUT 2022), Mexico City (Mexico), 70-70, October 9-11, 2022. doi: 10.1159/000526958
  

2021 (3)

• [2927] C. Biedma-Rdguez, M.J. Gacto; R. Alcalá; J. Alcalá-Fdez. Meta-Fuzzy Items for Fuzzy Association Rules. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021), Luxembourg (Luxembourg), 1-6, 11-14 July, 2021. doi: 10.1109/FUZZ45933.2021.9494571
  
• [2928] F.J. Rodriguez-Lozano; J.C. Gámez-Granados; O. Banos; J. Alcalá-Fdez; J.M. Soto-Hidalgo. An approach to bridge the gap between ubiquitous embedded devices and JFML: A new module for Internet of Things. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021), Luxembourg (Luxembourg), 1-6, 11-14 July, 2021. doi: 10.1109/FUZZ45933.2021.9494483
  
• [2929] A. Anguita-Ruiz; M. Bustos-Aibar; J. Plaza-Díaz; A. Mendez-Gutierrez; J. Alcalá-Fdez; C.M. Aguilera; F.J. Ruiz-Ojeda. Omics Approaches in Adipose Tissue and Skeletal Muscle Addressing the Role of Extracellular Matrix in Obesity and Metabolic Dysfunction. International Journal of Molecular Sciences 22:5 (2021) 2756. doi: 10.3390/ijms22052756
  

2020 (3)

• [2799] A. Anguita-Ruiz, A. Segura-Delgado, R. Alcalá, C.M. Aguilera, J. Alcalá-Fdez. eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research. PLoS Computational Biology 16:4 (2020) 1-34. doi: 10.1371/journal.pcbi.1007792
  
• [2800] A. Segura-Delgado, M.J. Gacto, R. Alcalá, J. Alcalá-Fdez. Temporal association rule mining: An overview considering the time variable as an integral or implied component. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery 10:4 (2020) e1367. doi: 10.1002/widm.1367
  
• [2960] A. Anguita-Ruiz, E.M. González-Gil, A.I. Rupérez, F.J. Llorente-Cantarero, B. Pastor-Villaescusa, J. Alcalá-Fdez, L.A. Moreno, Á. Gil, M. Gil-Campos, G. Bueno, R. Leis, C.M. Aguilera. Evaluation of the Predictive Ability, Environmental Regulation and Pharmacogenetics Utility of a BMI-Predisposing Genetic Risk Score during Childhood and Puberty. Journal of Clinical Medicine 9:6 (2020) 1705. doi: 10.3390/jcm9061705
  

2019 (4)

• [2640] J.M. Soto-Hidalgo, A. Vitiello, J.M. Alonso, G. Acampora, J. Alcalá-Fdez. Design of Fuzzy Controllers for Embedded Systems With JFML. International Journal of Computational Intelligence Systems 12:1 (2019) 204-214. doi: 10.2991/ijcis.2019.125905646
  
• [2695] M.J. Gacto, J.M. Soto-Hidalgo, J. Alcalá-Fdez, R. Alcalá. Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems. IEEE Access 7 (2019) 108916-108939. doi: 10.1109/ACCESS.2019.2933261
  
• [2703] J. Alcalá-Fdez, J.M. Alonso, C. Castiello, C. Mencar, J.M. Soto-Hidalgo. Py4JFML: A Python wrapper for using the IEEE Std 1855-2016 through JFML. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2019), New Orleans (Louisiana, USA), 430-435, June 23-26, 2019.
  
• [2705] G. Acampora, J. Alcalá-Fdez, R. Siciliano, J.M. Soto-Hidalgo, A. Vitiello. VisualJFML: A Visual Environment for Designing Fuzzy Systems according to IEEE Std 1855-2016. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2019), New Orleans (Louisiana, USA), 424-430, June 23-26, 2019.
  

2018 (5)

• [2422] R. Alcalá, M.J. Gacto, J. Alcalá-Fdez. Evolutionary data mining and applications: A revision on the most cited papers from the last 10 years (2007-2017). Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery 8:2 (2018) 1-17. doi: 10.1002/widm.1239
  
• [2462] D. Martín, M. Martínez-Ballesteros, D. García-Gil, J. Alcalá-Fdez, J.C. Riquelme-Santos, F. Herrera. MRQAR: a generic MapReduce framework to discover Quantitative Association Rules in Big Data problems. Knowledge-Based Systems 153 (2018) 176-192. doi: 10.1016/j.knosys.2018.04.037
  
• [2505] J.M. Soto-Hidalgo, J.M. Alonso, G. Acampora, J. Alcalá-Fdez. JFML: A Java Library to Design Fuzzy Logic Systems According to the IEEE Std 1855-2016. IEEE Access 6 (2018) 54952-54964. doi: 10.1109/ACCESS.2018.2872777
  
• [2664] F.J. Arcos, JM. Soto-Hidalgo, A. Vitiello, G. Acampora, J. Alcalá-Fdez. Interoperability for Embedded Systems in JFML Software: An Arduino-based implementation. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018), Rio de Janeiro (Brazil), 1-8, July 8-13, 2018.
  
• [2665] F.J. Arcos, JM. Soto-Hidalgo, A. Vitiello, G. Acampora, J. Alcalá-Fdez. Nuevo Módulo de Conexión Inalámbrico vía Bluetooth con Arduino en la Librería JFML. XIX Congreso Español sobre Tecnologías y Lógica Fuzzy, Granada (España), 233-238, 23-26 Octubre, 2018.
  

2017 (4)

• [2307] J. Alcalá-Fdez, R. Alcalá, S. González, Y. Nojima, S. García. Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification. IEEE Transactions on Fuzzy Systems 25:6 (2017) 1376-1390. doi: 10.1109/TFUZZ.2017.2718491
  
• [2308] O. Sánchez, J.M. Moyano, L. Sánchez, J. Alcalá-Fdez. Mining Association Rules in R Using the Package RKEEL. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), Naples (Italy), 1-6, July 9-12, 2017..
  
• [2322] I. Triguero, S. González, J.M. Moyano, S. García, J. Alcalá-Fdez, J. Luengo, A. Fernández, M.J. del Jesús, L. Sánchez and F. Herrera. KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining. International Journal of Computational Intelligence Systems 10 (2017) 1238-1249.
  
• [2424] C. del Val, E. Ruiz, R. Alcalá, A. Fernández, C. Cano, W. Fajardo, J. Alcalá-Fdez. Can Bioinformatics close the gender gap in STEM skills? : Reflections from the I Bioinformatics UGR Workshop. III Jornadas Andaluzas de Informática (JAI 2017), Canillas de Aceituno (Spain), 14-17, September 22-24, 2017.
  

2016 (3)

• [1920] J. Alcalá-Fdez, J.M. Alonso. A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends and Prospects. IEEE Transactions on Fuzzy Systems 24:1 (2016) 40-56. doi: 10.1109/TFUZZ.2015.2426212
  COMPLEMENTARY MATERIAL to the paper: software, bibliography, events, etc
  
  
• [2079] D. Martin, J. Alcalá-Fdez, A. Rosete, F. Herrera. NICGAR: a Niching Genetic Algorithm to Mine a Diverse Set of Interesting Quantitative Association Rules. Information Sciences 355-356 (2016) 208-228. doi: 10.1016/j.ins.2016.03.039
  COMPLEMENTARY MATERIAL to the paper: datasets, experimental results, etc
  
  
• [2102] A. Segura, R. Pérez-Pérez, J. Alcalá-Fdez. New Open Source Modules in KEEL to Analyze and Export Fuzzy Association Rules. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), Vancouver (Canada), 225-232, July 24-29, 2016.
  

2015 (2)

• [1832] A. Palacios, J.L. Palacios, L. Sánchez, J. Alcalá-Fdez. Genetic Learning of the Membership Functions for Mining Fuzzy Association Rules from Low Quality Data. Information Sciences 295 (2015) 358-378. doi: 10.1016/j.ins.2014.10.027
  
• [2877] D. Martín, M. Martínez-Ballesteros, S. Río, J. Alcalá-Fdez, J. Riquelme, F. Herrera. MOPNAR-BigData: un diseno MapReduce para la extracción de reglas de asociación cuantitativas en problemas de Big Data. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2015), 979-989, November 9-12, 2015.
  

2014 (4)

• [1673] D. Martín, A. Rosete, J. Alcalá-Fdez, F. Herrera. QAR-CIP-NSGA-II: A New Multi-Objective Evolutionary Algorithm to Mine Quantitative Association Rules. Information Sciences 258 (2014) 1-28. doi: 10.1016/j.ins.2013.09.009
  
• [1674] D. Martín, A. Rosete, J. Alcalá-Fdez, F. Herrera. A New Multi-Objective Evolutionary Algorithm for Mining a Reduced Set of Interesting Positive and Negative Quantitative Association Rules. IEEE Transactions on Evolutionary Computation 18:1 (2014) 54-69. doi: 10.1109/TEVC.2013.2285016
  
• [1818] D. Martín, A. Rosete, J. Alcalá-Fdez, F. Herrera. Un nuevo algoritmo Evolutivo Multi-Objetivo para la extracción de Reglas de Asociación Cuantitativas Positivas y Negativas. In: D.A. Pelta, R. Pérez, C. Cruz, J.L. Verdegay (eds.): Contribuciones en Soft Computing, Universidad de Granada, 2014, 1-16. ISBN 978-84-338-5672-2.
  
• [1836] D.P. Pancho and J.M. Alonso and J. Alcalá-Fdez and L. Magdalena. Analyzing Fuzzy Association Rules with Fingrams in KEEL. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Beijing (China), 2352-2359, 6-11 July, 2014.
  

2013 (4)

• [1644] P. Cingolani, J. Alcalá-Fdez. jFuzzyLogic: a Java library to design fuzzy logic controllers according to the standard for fuzzy control programming. International Journal of Computational Intelligence Systems 6:1 (2013) 61-75. doi: 10.1080/18756891.2013.818190
  
• [1651] D. Martín, A. Rosete, J. Alcalá-Fdez and F. Herrera. MOPNAR: Algoritmo Evolutivo Multi-Objetivo para Extraer Reglas de Asociación Cuantitativas Positivas y Negativas. Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2013), Madrid (España), pp. 882-891, 17-20 Septiembre, 2013.
  
• [1652] D.P. Pancho, Jose M. Alonso, J. Alcalá-Fdez and L. Magdalena. Interpretability analysis of fuzzy association rules supported by fingrams. International Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), Milano (Italy), pp. 469-474, 11-13 September, 2013. doi: 10.2991/eusflat.2013.71
  
• [1653] D.P. Pancho, Jose M. Alonso and J. Alcalá-Fdez. A new fingram-based software tool for visual representation and analysis of fuzzy association rules. IEEE International Conference on Fuzzy Systems (FuzzIEEE), Hyderabad (India), 7-10 July, 2013.
  

2012 (7)

• [1336] F. Chávez, F. Fernández, R. Alcalá, J. Alcalá-Fdez, G. Olague, F. Herrera. Hybrid Laser Pointer Detection Algorithm Based on Template Matching and Fuzzy Rule-Based Systems for Domotic Control in Real Home Enviroments. Applied Intelligence 36:2 (2012) 407-423. doi: 10.1007/s10489-010-0268-6
  
• [1398] A. Palacios, M.J. Gacto, J. Alcalá-Fdez. Mining Fuzzy Association Rules from Low Quality Data. Soft Computing 16:5 (2012) 883-901. doi: 10.1007/s00500-011-0775-3
  
• [1450] A. Palacios, J. Alcalá-Fdez. Extracción de reglas de asociación difusas a partir de datos de baja calidad. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 325-330, 1-3 Febrero 2012..
  
• [1451] J. Derrac, J. Luengo, A. Fernandez, S. García, J. Alcalá-Fdez. KEEL: Una herramienta docente para sistemas difusos. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 534-539, 1-3 Febrero.
  
• [1452] F. Chávez, F. Fernández, R. Alcalá, J. Alcalá-Fdez, F. Herrera. Aprendizaje Evolutivo de un Sistema Basado en Reglas Difusas para un Sistema de Control de Entrono por Medio de Puntero Láser. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 265-270, 1-3 Febrero 2012.
  
• [1506] J.L. Aznarte M., J. Alcalá-Fdez, A. Arauzo, J.M. Benítez. Financial Time Series Forecasting with a Bio-inspired Fuzzy Model. Expert Systems with Applications 39:16 (2012) 12302–12309. doi: 10.1016/j.eswa.2012.02.135
  
• [1535] P. Cingolani, J. Alcalá-Fdez. jFuzzyLogic: A Robust and Flexible Fuzzy-Logic Inference System Language Implementation. IEEE World Congress on Computational Intelligence (WCCI 2012), Brisbane (Australia), pp. 1090-1097, 10-15 June, 2012.
  

2011 (6)

• [1277] J. Alcalá-Fdez, A. Fernandez, J. Luengo, J. Derrac, S. García, L. Sánchez, F. Herrera. KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework. Journal of Multiple-Valued Logic and Soft Computing 17:2-3 (2011) 255-287.
  SOFTWARE associated to the paper here
  
  
• [1279] J.L. Aznarte M., J. Alcalá-Fdez, A. Arauzo, J.M. Benítez. Fuzzy autoregressive rules: Towards linguistic time series modeling. Econometric Reviews 30:6 (2011) 609–631. doi: 10.1080/07474938.2011.553569
  
• [1400] F. Chávez, F. Fernandez, R. Alcalá, J. Alcalá-Fdez, F. Herrera. Evolutionary Learning of a Laser Pointer Detection Fuzzy System for an Environment Control System. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei (Taiwan), pp. 256-263, 27-30 June 2011.
  
• [1402] J. Alcalá-Fdez, R. Alcalá, F. Herrera. A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems with Genetic Rule Selection and Lateral Tuning. IEEE Transactions on Fuzzy Systems 19:5 (2011) 857-872. doi: 10.1109/TFUZZ.2011.2147794
  
• [1440] J. Derrac, J. Luengo, J. Alcalá-Fdez, A. Fernandez, S. García. Using KEEL Software as a Educational Tool: A Case of Study Teaching Data Mining. Second International Conference on EUropean Transnational Education (ICEUTE 2011), Salamanca (Spain), pp. 55-60, October 20-21, 2011.
  
• [1449] Diana Martín, Alejandro Rosete, J. Alcalá-Fdez, F. Herrera. A Multi-Objective Evolutionary Algorithm for Mining Quantitative Association Rules. 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), Córdoba (Spain),pp. 1397-1402, 22–24 November 2011.
  

2010 (8)

• [1051] J. Alcalá-Fdez, S. García, L. Sánchez, I. Robles, M.J. del Jesus, E. Bernadó-Mansilla, A. Peregrin, F. Herrera. Introduction to the Experimental Design in the Data Mining Tool KEEL. L.S.L. Wang , T.P. Hong (Eds.) Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technology, IGI Global, 2010, 1-25. ISBN 978-1-61520-757-2.
  
• [1071] M. Mucientes, J. Alcalá-Fdez, R. Alcalá, J. Casillas. A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems. Expert Systems With Applications 37:2 (2010) 1471–1493. doi: 10.1016/j.eswa.2009.06.095
  
• [1186] J. Alcalá-Fdez, N. Flugy-Pape, A. Bonarini, F. Herrera. Analysis of the Effectiveness of the Genetic Algorithms based on Extraction of Association Rules. Fundamenta Informaticae 98:1 (2010) 1001-1014.
  
• [1250] J. Derrac, A. Fernandez, J. Luengo, S. García, L. Sánchez, J. Alcalá-Fdez, F. Herrera. KEEL: Una herramienta software para el análisis de sistemas difusos evolutivos. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 417-422, 3-5 February 2010..
  
• [1264] Francisco Chávez, Francisco Fernández, J. Alcalá-Fdez, R. Alcalá, F. Herrera, Gustavo Olague. Genetic Tuning of a Laser Pointer Environment Control Device System for Handicapped People with Fuzzy Systems. In Proceedings of the 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2010), pp. 1812-1819, Barcelona (Spain), 18-23 July 2010, ISBN 978-1-4244-8126-2..
  
• [1265] J. Alcalá-Fdez, R. Alcalá, F. Herrera. A Fuzzy Associative Classification System with Genetic Rule Selection for High- Dimensional Problems. Proceedings of the Fourth International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2010) , pp. 33-38, Asturias (Spain), 17 – 19 March 2010, ISBN 978-1-4244-4622-3.
  
• [1283] F. Chávez, F. Fernández, R. Alcalá, J. Alcalá-Fdez, F. Herrera. Ajuste Evolutivo de un Sistema de Control de Entorno para Personas con Discapacidad utilizando Sistemas Difusos. VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2010), pp. 535-542, Valencia (España), 7-10 Septiembre 2010.
  
• [1284] J. Alcalá-Fdez, R. Alcalá, F. Herrera. Un Modelo de Clasificación basado en Reglas de Asociación Difusas para Problemas de Alta Dimensionalidad y Selección Evolutiva de Reglas. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 249-254, 3-5 February 2010.
  

2009 (6)

• [0758] J. Alcalá-Fdez, L. Sánchez, S. García, M.J. del Jesus, S. Ventura, J.M. Garrell, J. Otero, C. Romero, J. Bacardit, V.M. Rivas, J.C. Fernández, F. Herrera. KEEL: A Software Tool to Assess Evolutionary Algorithms for Data Mining Problems. Soft Computing 13:3 (2009) 307-318. doi: 10.1007/s00500-008-0323-y
  SOFTWARE associated to the paper
  
  
• [0650] M. Mucientes, R. Alcalá, J. Alcalá-Fdez, J. Casillas. Learning Weighted Linguistic Rules to Control an Autonomous Robot. International Journal of Intelligent Systems 24:3 (2009) 226–251. doi: 10.1002/int.20334
  
• [0671] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Improving Fuzzy Logic Controllers Obtained by Experts: A Case Study in HVAC Systems. Applied Intelligence 31:1 (2009) 15-30. doi: 10.1007/s10489-007-0107-6
  
• [0838] J. Alcalá-Fdez, R. Alcalá, M.J. Gacto, F. Herrera. Learning the Membership Function Contexts for Mining Fuzzy Association Rules by Using Genetic Algorithms. Fuzzy Sets and Systems 160:7 (2009) 905-921. doi: 10.1016/j.fss.2008.05.012
  
• [1070] N. Flugy Papè, J. Alcalá-Fdez, A. Bonarini and F. Herrera. Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness. In Proceedings of the Fourth International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), June 10-12, Salamanca (Spain), Lecture Notes in Artificial Intelligence 5572, 646-653.
  
• [1078] A. Fernandez, J. Luengo, J. Derrac, J. Alcalá-Fdez and F. Herrera. Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool. 10th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2009). Lecture Notes in Computer Science 5788, Springer 2009, Burgos (Spain, 2009) 562-569.
  

2008 (4)

• [0446] S. Alonso, F. Chiclana, F. Herrera, E. Herrera-Viedma, J. Alcalá-Fdez, C. Porcel. A Consistency-Based Procedure to Estimate Missing Pairwise Preference Values. International Journal of Intelligent Systems 23:2 (2008) 155-175. doi: 10.1002/int.20262
  
• [0656] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection. In: Ghosh, A., Dehuri, S., Ghosh, S. (eds.): Multi-objective Evolutionary Algorithms for Knowledge Discovery from Data Bases Vol. 98, Springer Verlag, Heidelberg, Germany, 2008, 91-107. ISBN 978-3-540-77466-2.
  
• [0685] J. Otero, L. Sánchez, J. Alcalá-Fdez. Fuzzy-genetic optimization of the parameters of a low cost system for the optical measurement of several dimensions of vehicles. Soft Computing 12:8 (2008) 751–764. doi: 10.1007/s00500-007-0234-3
  
• [0773] J. Alcalá-Fdez, S. García, F.J. Berlanga, A. Fernandez, L. Sánchez, M.J. del Jesus, F. Herrera. KEEL: A Data Mining Software Tool Integrating Genetic Fuzzy Systems. 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS 2008), Witten-Bommerholz (Germany), 83-88, 4-7 March 2008.
  

2007 (10)

• [0344] R. Alcalá, J. Alcalá-Fdez, J. Casillas, O. Cordón, F. Herrera. Local Identification of Prototypes for Genetic Learning of Accurate TSK Fuzzy Rule-Based Systems. International Journal of Intelligent Systems 22:9 (2007) 909-941. doi: 10.1002/int.20232
  
• [0346] J. Alcalá-Fdez, F. Herrera, F. Márquez, A. Peregrín. Increasing Fuzzy Rules Cooperation Based on Evolutionary Adaptive Inference Systems. International Journal of Intelligent Systems 22:9 (2007) 1035-1064. doi: 10.1002/int.20237
  
• [0651] R. Alcalá, M.J. Gacto, F. Herrera, J. Alcalá-Fdez. A Multi-objective Genetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15:5 (2007) 539–557. doi: 10.1142/S0218488507004868
  
• [0556] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Rule Base Reduction and Genetic Tuning of Fuzzy Systems based on the Linguistic 3-Tuples Representation. Soft Computing 11:5 (2007) 401-419. doi: 10.1007/s00500-006-0106-2
  
• [0572] R. Alcalá, J. Alcalá-Fdez, F. Herrera, J. Otero. Genetic Learning of Accurate and CompactFuzzy Rule Based Systems Based on the 2-Tuples LinguisticRepresentation. International Journal of Approximate Reasoning 44:1 (2007) 45-64. doi: 10.1016/j.ijar.2006.02.007
  
• [0598] R. Alcalá, J. Alcalá-Fdez, F. Herrera. A Proposal for the Genetic Lateral Tuning of Linguistic Fuzzy Systems and its Interaction with Rule Selection. IEEE Transactions on Fuzzy Systems 15:4 (2007) 616-635. doi: 10.1109/TFUZZ.2006.889880
  
• [0657] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems. In Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1367-1372, 23-26 July 2007.
  
• [0658] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Genetic Learning of Membership Functions for Mining Fuzzy Association Rules. In Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1538-1543, 23-26 July 2007.
  
• [0668] J. Alcalá-Fdez, R. Alcalá, M.J. Gacto, F. Herrera. Aprendizaje Evolutivo de los Contextos de las Funciones de Pertenencia para Extraer Reglas de Asociación Difusas. Proceedings of the II Congreso Español de Informática (CEDI 2007). II Simposio sobre Lógica Fuzzy y Soft Computing, LFSC'2007 (EUSFLAT), Zaragoza (Spain), 25-32, 11-14 September 2007.
  
• [0681] J. Otero, L. Sánchez, J. Alcalá-Fdez. Selecting an Appropriate Statistical Test for Comparing Multiple Experiments in Evolutionary Machine Learning. Proceedings of the II Congreso Español de Informática (CEDI 2007). I Jornadas sobre Algoritmos Evolutivos y Metaheurísticas (JAEM'07), Zaragoza (Spain), 253-260, 11-14 September 2007.
  

2006 (7)

• [0343] R. Alcalá, J. Alcalá-Fdez, J. Casillas, O. Cordón, F. Herrera. Hybrid learning models to get the interpretability-accuracy trade-off in Fuzzy Modelling. Soft Computing 10:9 (2006) 717-734. doi: 10.1007/s00500-005-0002-1
  
• [0571] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Fuzzy Rule Reduction and Tuning of Fuzzy Logic Controllers for a HVAC System. In C. Kahraman (Ed.): Fuzzy Applications in Industrial Engineering, Studies in Fuzziness and Soft Computing Vol. 201, Springer Verlag, Heidelberg, Germany, 2006, 89-117. ISBN 978-3-540-33516-0.
  
• [0573] R. Alcalá, J. Alcalá-Fdez, F.J. Berlanga, M.J. Gacto, F. Herrera. Improving Fuzzy Rule-Based Decision Modelsby Means of a Genetic 2-Tuples Based Tuning and the Rule Selection. Modeling Decisions for Artificial Intelligence 2006 (MDAI 2006), Tarragona (Spain), Lecture Notes on Artificial Intelligence 3885, 317-328, 3-5 April 2006. ISSN 0302-9743.
  
• [0633] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Obtención de Sistemas Basados en Reglas Difusas Precisos y Compactos Mediante Algoritmos Genéticos Multiobjetivo. Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006), Ciudad Real (Spain), 1-6, 20-22 September 2006, ISBN 84-689-9547-9.
  
• [0599] J. Alcalá-Fdez. Modelado Lingüístico Flexible Mediante el Uso de la Representación de 2-Tuplas Lingüísticas. Department of Computer Science and Artificial Intelligence (DECSAI), University of Granada. September, 2006.
  Advisor: Dr. Rafael Alcalá and Dr. Francisco Herrera
  
• [0632] R. Alcalá, J. Alcalá-Fdez, F.J. Berlanga, M.J. Gacto, F. Herrera. Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. Proceedings of the 19th International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA/AIE06), LNCS 4031, Springer-Verlag, Annecy (France), 452-461, 27-30 June 2006. ISSN 0302-9743.
  
• [0655] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Obtaining Compact and Still Accurate Linguistic Fuzzy Rule-Based Systems by Using Multi-Objetive Genetic Algorithms. Proceedings of the Symposium on Fuzzy Systems in Computer Science (FSCS 2006), Magdeburg (Germany), 53-62, 27-28 September 2006.
  

2005 (7)

• [0455] R. Alcalá, J. Alcalá-Fdez, F. Herrera, J. Otero. Genetic Learning of the Knowledge Base of a Fuzzy System by Using the Linguistic 2-Tuples Representation. In Proceedings of the 14th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2005), Reno, Nevada (USA), 797-802, May 22-25, 2005. ISBN 0-7803-9159-4.
  
• [0456] R. Alcalá, J. Alcalá-Fdez, F. Herrera, J. Otero. A New Genetic Fuzzy System Based on Linguistic 2-Tuples to Learn Knowledge Bases. Proceedings of the 1st International Workshop on Genetic Fuzzy Systems (GFS 2005), Granada (Spain), 107-112, March 17-19, 2005. ISBN 84-689-1117-8.
  
• [0551] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Genetic Lateral andAmplitude Tuning of Membership Functions for Fuzzy Systems. Proceedings of the 2nd International Conference on Machine Intelligence (ACIDCA-ICMI05). Tozeur (Tunisia), 589-595, November 5-7, 2005.
  
• [0552] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Ajuste EvolutivoLateral y de Amplitud de etiquetas para Sistemas Basados en ReglasDifusas. Simposio de Inteligencia Computacional (SICO2005), Granada (Spain), 481-488, September 13-16, 2005. ISBN 84-9732-444-7.
  
• [0553] M. Mucientes, R. Alcalá, J. Alcalá-Fdez, J. Casillas. Learning WeightedLinguistic Rules for Mobile Robotics. XI World Congress of International Fuzzy Systems Association (IFSA05), Vol. 3, Beijing (China), 1279-1285, July 28-31, 2005.
  
• [0554] J. Otero, L. Sánchez, J. Alcalá-Fdez. Un estudio empírico preliminaracerca del uso de los tests de comparaciones múltiples en aprendizajeautomático. IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'05). Granada (Spain), 803-810, 2005.
  
• [0555] L. Sánchez, J. Otero, J. Alcalá-Fdez. Assessing the Differences inAccuracy between GFSs with Bootstrap Tests. IV Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-LFA05), Barcelona (Spain), 1021-1026, 2005.
  

2004 (3)

• [0370] J. Alcalá-Fdez, R. Alcalá, O. Cordón, F. Herrera. Aprendizaje de Pesos y Selección Evolutiva para la Reducción de la Base de Reglas Difusas. Actas del Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'04), Córdoba (Spain), 118-125, February 4-6, 2004. ISBN 84-688-4224-9.
  
• [0395] J. Alcalá-Fdez, R. Alcalá, F. Herrera. Aprendizaje y Ajuste Genético De Sistemas Difusos Basado en la Representación de 2-Tuplas Lingüísticas. Actas del XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 333-338, September 15-17, 2004. ISBN 84-609-2160-3.
  
• [0512] J. Alcalá-Fdez, M. J. del Jesús, J. M. Garrell, F. Herrera, C. Hervás, L. Sánchez. Proyecto KEEL: Desarrollo de una Herramienta para el Análisis e Implementación de Algoritmos de Extracción de Conocimiento Evolutivos. En: Giráldez, R., Riquelme, J. C., Aguilar, J. S. (eds.): Tendencias de la Minería de Datos en España, 2004, 413-424. ISBN: 84-688-8442-1.
  

2003 (1)

• [0307] R. Alcalá, J. Alcalá-Fdez, J. Casillas, O. Cordón, F. Herrera. Genetic Learning of Accurate TS Models Based on Local Fuzzy Prototyping. Proceedings of the Third Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2003), Zittau (Germany), 105-108, September 10-12, 2003.