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Special Issue Cover

A new special issue on Fuzzy Approaches in Preference Modelling, Decision Making and Applications (International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems [IJUFKS]) has been edited by F. Chiclana, E. Herrera-Viedma, S. Alonso, F. Herrera.

 

               Publications: J. Luengo

Number Of Publications: 47 Jump to Graph

Jump to Year: 2015 (1), 2014 (6), 2013 (4), 2012 (9), 2011 (6), 2010 (11), 2009 (7), 2008 (1), 2007 (2)

Bolita Year 2015 (1):

Bolita[1824] José A. Sáez, J. Luengo, Jerzy Stefanowski, F. Herrera, SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering. Information Sciences 291 (2015) 184-203, doi: 10.1016/j.ins.2014.08.051. COMPLEMENTARY MATERIAL to the paper here. iconPdf.png

Bolita Year 2014 (6):

Bolita[1791] José A. Sáez, J. Derrac, J. Luengo, F. Herrera, Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers. Pattern Recognition 47:12 (2014) 3941–3948, doi: 10.1016/j.patcog.2014.06.012. COMPLEMENTARY MATERIAL to the paper here. iconPdf.png

Bolita[1828] José A. Sáez, J. Luengo, Jerzy Stefanowski, F. Herrera, Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering. Intelligent Data Engineering and Automated Learning 2014 (IDEAL 2014), Lecture Notes in Computer Science Volume 8669, 2014, pp 61-68. iconPdf.png

Bolita[1792] José A. Sáez, J. Derrac, J. Luengo, F. Herrera, Improving the behavior of the nearest neighbor classifier against noisy data with feature weighting schemes. Hybrid Artificial Intelligent Systems 2014 (HAIS 2014), Lecture Notes in Computer Science Volume 8480, 2014, pp 597–606. iconPdf.png

Bolita[1646] I. Triguero, José A. Sáez, J. Luengo, S. García, F. Herrera, On the Characterization of Noise Filters for Self-Training Semi-Supervised in Nearest Neighbor Classification. Neurocomputing 132 (2014) 30-41, doi: 10.1016/j.neucom.2013.05.055 .

Bolita[1557] José A. Sáez, M. Galar, J. Luengo, F. Herrera, Analyzing the Presence of Noise in Multi-class Problems: Alleviating its Influence with the One-vs-One Decomposition. Knowledge and Information Systems 38:1 (2014) 179-206, doi: 10.1016/j.ins.2013.06.002. COMPLEMENTARY MATERIAL to the paper here.

Bolita In Press:

Bolita[1699] J. Luengo, F. Herrera, An automatic extraction method of the domains of competence for learning classifiers using data complexity measures. Knowledge and Information Systems, doi: 10.1007/s10115-013-0700-4, in press (2014).

Bolita Year 2013 (4):

Bolita[1655] José A. Sáez, M. Galar, J. Luengo, F. Herrera, Tackling the Problem of Classification with Noisy Data using Multiple Classifier Systems:Analysis of the Performance and Robustness. Information Sciences 247 (2013) 1-20, doi: 10.1016/j.ins.2013.06.002. COMPLEMENTARY MATERIAL to the paper here.

Bolita[1743] José A. Sáez, Mikel Galar, J. Luengo, F. Herrera, An Experimental Case of Study on the Behavior of Multiple Classifier Systems with Class Noise Datasets. Hybrid Artificial Intelligent Systems 2013 (HAIS 2013), Lecture Notes in Computer Science Volume 8073, 2013, pp 568-577 .

Bolita[1539] José A. Sáez, J. Luengo, F. Herrera, Predicting Noise Filtering Efficacy with Data Complexity Measures for Nearest Neighbor Classification. Pattern Recognition 46:1 (2013) 355-364, doi: 10.1016/j.patcog.2012.07.009. COMPLEMENTARY MATERIAL to the paper here. iconPdf.png

Bolita[1469] S. García, J. Luengo, José A. Sáez, V. López, F. Herrera, A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning. IEEE Transactions on Knowledge and Data Engineering 25:4 (2013) 734-750, doi: 10.1109/TKDE.2012.35. COMPLEMENTARY MATERIAL to the paper here. iconPdf.png

Bolita Year 2012 (9):

Bolita[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. iconPdf.png

Bolita[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.

Bolita[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 . iconPdf.png

Bolita[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. iconPdf.png

Bolita[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 . iconPdf.png

Bolita[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 . iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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 COMPLEMENTARY MATERIAL to the paper here: Software, data sets, results and methods description. iconPdf.png

Bolita Year 2011 (6):

Bolita[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.. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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 . iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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

Bolita Year 2010 (11):

Bolita[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. COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc.. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. . iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. COMPLEMENTARY MATERIAL to the paper here: Software and tests description . iconPdf.png

Bolita[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.

Bolita[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.. iconPdf.png

Bolita[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. COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc.. iconPdf.png

Bolita[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 . iconPdf.png

Bolita Year 2009 (7):

Bolita[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. iconPdf.png

Bolita[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 .

Bolita[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. iconPdf.png

Bolita[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. COMPLEMENTARY MATERIAL to the paper here: Software and tests description. iconPdf.png

Bolita[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.

Bolita[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.

Bolita[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 . COMPLEMENTARY MATERIAL to the paper here: Software and tests description. iconPdf.png

Bolita Year 2008 (1):

Bolita[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.

Bolita Year 2007 (2):

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png


 


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