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SCI2S Publications (J. Luengo)

Number of Results: 61

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In Press (1)

  • [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, in press. PDF Icon BibTex Icon


2017 (3)

  • [2133] S. García, S. Ramírez-Gallego, J. Luengo, F. Herrera. Big Data: Preprocesamiento y calidad de datos. Novática (Revista de la Asociación de Técnicos de Informática), Monografía Big Data, 237 (2017) 17-23.. PDF Icon
    Enlace a la revista completa

  • [2304] A. Gómez-Ríos, J. Luengo, F. Herrera. A Study on the Noise Label Influence in Boosting Algorithms: AdaBoost, GBM and XGBoost. 12th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2017), Lecture Notes in Computer Science (LNCS 10334), Logroño, Spain, June 21-23 June, 2017.. doi: 10.1007/978-3-319-59650-1_23
  • [2310] J. Maillo, J. Luengo, S. Garcia, F. Herrera, I. Triguero. Exact Fuzzy k-Nearest Neighbor Classification for Big Datasets. IEEE Conference on Fuzzy Systems (FUZZ-IEEE 2017), Naples (Italy), July 9-12.


2016 (7)


2015 (5)


2014 (5)


2013 (4)


2012 (9)

  • [1408] J. Luengo, S. García, F. Herrera. On the choice of the best imputation methods for missing values considering three groups of classification methods. Knowledge and Information Systems 32:1 (2012) 77-108. doi: 10.1007/s10115-011-0424-2 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: Software, data sets, results and methods description

  • [1429] J. Luengo, F. Herrera. Shared Domains of Competence of Approximative Models using Measures of Separability of Classes. Information Sciences 185:1 (2012) 43-65. doi: 10.1016/j.ins.2011.09.022 PDF Icon
  • [1430] J. Luengo, José A. Sáez, F. Herrera. Missing data imputation for Fuzzy Rule Based Classifi cation Systems. Soft Computing 16 (2012) 863–881. doi: 10.1007/s00500-011-0774-4 PDF Icon
  • [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 . PDF Icon
  • [1498] José A. Sáez, J. Luengo, F. Herrera. Sistemas de clasificación basados en reglas difusas y sistemas nítidos robustos entrenados en presencia de ruido de clase: un caso de estudio. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 602-607, 1-3 Febrero 2012.
  • [1505] S. García, V. López, J. Luengo, C.J. Carmona, F. Herrera. A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms. 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM2012), Vilamoura (Portugal), pp. 211-216, 6-8 February 2012. PDF Icon
  • [1517] José A. Sáez, M. Galar, J. Luengo, F. Herrera. A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees. In Proceedings of the Seventh International Conference on Hybrid Artificial Intelligence Systems (HAIS 2012), March 28-30, Salamanca (Spain), Lecture Notes in Computer Science 7209, 25-35. PDF Icon
  • [1525] C. Carmona, J. Luengo, P. González, M.J. Del Jesus. An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery. Expert Systems wit Applications 39 (2012) 11404–11412. doi: 10.1016/j.eswa.2012.04.029 PDF Icon
  • [1744] C.J. Carmona, J. Luengo, P. Gonzalez, M.J. del Jesus. A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery. In Proceedings of 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'12), Brisbane (Australia), 10-15 June, pp 1--7.


2011 (6)

  • [1276] J. Luengo, A. Fernandez, S. García, F. Herrera. Addressing Data Complexity for Imbalanced Data Sets: Analysis of SMOTE-based Oversampling and Evolutionary Undersampling. Soft Computing, 15 (10) (2011) 1909-1936. doi: 10.1007/s00500-010-0625-8 PDF Icon
  • [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. PDF Icon
    SOFTWARE associated to the paper here

  • [1342] S. García, J. Derrac, J. Luengo, C.J. Carmona, F. Herrera. Evolutionary Selection of Hyperrectangles in Nested Generalized Exemplar Learning. Applied Soft Computing 11:3 (2011) 3032-3045. doi: 10.1016/j.asoc.2010.11.030 PDF Icon
  • [1397] J. Luengo. Soft Computing based learning and Data Analysis: Missing Values and Data Complexity. Department of Computer Science and Artificial Intelligence, University of Granada.
    Advisor: F. Herrera
  • [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. PDF Icon
  • [1453] José A. Sáez, J. Luengo, F. Herrera. Fuzzy Rule Based Classification Systems versus Crisp Robust Learners Trained in Presence of Class Noise's Effects: a Case of Study. 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), Córdoba (Spain), pp. 1229-1234, 22–24 November 2011.. PDF Icon


2010 (11)

  • [1043] J. Luengo, F. Herrera. Domains of Competence of Fuzzy Rule Based Classification Systems with Data Complexity measures: A case of study using a Fuzzy Hybrid Genetic Based Machine Learning Method. Fuzzy Sets and Systems, 161 (1) (2010) 3-19. doi: 10.1016/j.fss.2009.04.001 PDF Icon
  • [1104] A. Fernandez, S. García, J. Luengo, E. Bernadó-Mansilla, F. Herrera. Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy and Comparative Study. IEEE Transactions on Evolutionary Computation 14:6 (2010) 913-941. doi: 10.1109/TEVC.2009.2039140 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc

  • [1112] J. Luengo, S. García, F. Herrera. A Study on the Use of Imputation Methods for Experimentation with Radial Basis Function Network Classifiers Handling Missing Attribute Values: The good synergy between RBFs and EventCovering method. Neural Networks 23 406-418. doi: 10.1016/j.neunet.2009.11.014 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc

  • [1206] S. García, A. Fernandez, J. Luengo, F. Herrera. Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental Analysis of Power. Information Sciences 180 (2010) 2044–2064. doi: 10.1016/j.ins.2009.12.010 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: Software and tests description

  • [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.. PDF Icon
  • [1251] J. Luengo, F. Herrera. Determinando Automáticamente los Dominios de Competencia de un Sistema de Clasi ficación Basado en Reglas Difusas: Un Caso de Estudio con FH-GBML. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 235-240, 3-5 February 2010.
  • [1309] J. Luengo, F. Herrera. Obtención de los dominios de competencia de C4.5 por medio de medidas de separabilidad de clases. In Proceedings of the III Congreso Español de Informática (CEDI 2010). VIII Jornadas de Aplicaciones y Transferencia Tecnológica de la Inteligencia Artificia (TTIA 2010) Valencia (Spain), 33-44, 7-10 September 2010. . PDF Icon
  • [1310] J. Luengo, F. Herrera. An Extraction Method for the Characterization of the Fuzzy Rule Based Classification Systems’ Behavior using Data Complexity Measures: A case of study with FH-GBML. In Proceedings on the WCCI 2010 IEEE World Congress on Computational Intelligence, IEEE Congress on Fuzzy Logic FUZZ-IEEE'2010, Barcelona (Spain), 18-23 July, pp 702-709. PDF Icon
  • [1311] M. Galar, José A. Sáez, J. Luengo, F. Herrera. Influencia del Ruido en Sistemas de Clasificación con Múltiples Clases: Análisis sobre la estrategia Uno-contra-Uno. In Proceedings of the III Congreso Español de Informática (CEDI 2010). V Simposio de Teoría y Aplicaciones de Minería de Datos (TAMIDA 2010) Valencia (Spain), 65-74, 7-10 September 2010. PDF Icon
  • [1312] José A. Sáez, J. Luengo, F. Herrera. Análisis del impacto del ruido en clases y atributos para Sistemas de Clasificación Basados en Reglas Difusas. In Proceedings of the III Congreso Español de Informática (CEDI 2010).III Simposio sobre Lógica Fuzzy y Soft Computing, LFSC2010 (EUSFLAT), Valencia (Spain), 467-474, 7-10 September 2010. PDF Icon
  • [1348] José A. Sáez, J. Luengo and F. Herrera. A First Study on the Noise Impact in Classes for Fuzzy Rule Based Classification Systems. In Proceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering (ISKE2010). IEEE Press. November 15-16, 2010, Hangzhou (China), pp. 153-158. PDF Icon


2009 (7)

  • [0893] J. Luengo, S. García, F. Herrera. A Study on the Use of Statistical Tests for Experimentation with Neural Networks: Analysis of Parametric Test Conditions and Non-Parametric Tests. Expert Systems with Applications 36 (2009) 7798-7808. doi: 10.1016/j.eswa.2008.11.041 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: Software and tests description

  • [0898] S. García, A. Fernandez, J. Luengo, F. Herrera. A Study of Statistical Techniques and Performance Measures for Genetics-Based Machine Learning: Accuracy and Interpretability. Soft Computing 13:10 (2009) 959-977. doi: 10.1007/s00500-008-0392-y PDF Icon
    COMPLEMENTARY MATERIAL to the paper: Software and tests description

  • [1062] J. Luengo, F. Herrera. Domains of Competence of Artificial Neural Networks Using Measures of Separability of Classes. 10th International Work-Conference on Artificial Neural Networks (IWANN09) Lecture Notes on Computer Science 5517, Springer-Verlag, Salamanca (Spain) 81-88, June 2009.
  • [1077] J. Luengo, F. Herrera. On the use of Measures of Separability of Classes to characterise the Domains of Competence of a Fuzzy Rule Based Classification System. Proceedings of the 2009 International Fuzzy Systems Association congress and 2009 European Society for Fuzzy Logic and Technology conference, Lisbon (Portugal) 1027-1032, July 2009.
  • [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. PDF Icon
  • [1176] J. Luengo, A. Fernandez, F. Herrera, S. García. Addressing Data-Complexity for Imbalanced Data-sets: A Preliminary Study on the Use of Preprocessing for C4.5. 9th International Conference on Intelligent Systems Designs and Applications (ISDA'09), Pisa (Italy) November 2009, 523-528 .
  • [1177] S. García, J. Derrac, J. Luengo, F. Herrera. A First Approach to Nearest Hyperrectangle Selection by Evolutionary Algorithms. 9th International Conference on Intelligent Systems Designs and Applications (ISDA'09), Pisa (Italy) November 2009, 517-522. PDF Icon


2008 (1)

  • [0892] J. Luengo, S. García, J.R. Cano, F. Herrera. Estudio de la influencia de las medidas de complejidad de los datos en los Sistemas de Clasifcación Basados en Reglas Difusas: Análisis de la Razón Discriminante de Fisher. XIV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF08) Mieres (Spain), 257-263, 17-19 September 2008.


2007 (2)

  • [0722] J. Luengo, S. García, F. Herrera. Estudio de la influencia de los métodos de imputación en Redes Neuronales de Base Radial para clasificación. Proceedings of the II Congreso Español de Informática (CEDI 2007). Simposio de Inteligencia Computacional (SICO2007), Zaragoza (Spain), 81-88, 11-14 September 2007. PDF Icon
  • [0725] J. Luengo, S. García, F. Herrera. A Study on the Use of Statistical Tests for Experimentation with Neural Networks. Proceedings of the 9th International Work-Conference on Artificial Neural Networks (IWANN07). Lecture Notes on Computer Science 4507, Springer-Verlag, San Sebastián (Spain), 72-79, June 2007. PDF Icon