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SCI2S Publications (A. Fernandez)

Number of Results: 112

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In Press (3)

  • [2324] S. Vluymans, A. Fernandez, C. Cornelis, Y. Saeys, F. Herrera. Dynamic Affinity-based Classification of Multi-Class Imbalanced Data with One-vs-One Decomposition: a Fuzzy Rough Set Approach. Knowledge and Information Systems, in press. doi: 10.1007/s10115-017-1126-1 PDF Icon
  • [2335] S. Elhag, A. Fernandez, A. Altalhi, S. Alshomrani, F. Herrera. A Multi-Objective Evolutionary Fuzzy System to Obtain a Broad and Accurate Set of Solutions in Intrusion Detection Systems. Soft Computing (2017), in press. doi: 10.1007/s00500-017-2856-4 PDF Icon
  • [2086] A. Fernandez, S. Río, F. Herrera. Fuzzy Rule Based Classification Systems for Big Data with MapReduce: Granularity Analysis. Advances in Data Analysis and Classification, in press. doi: 10.1007/s11634-016-0260-z PDF Icon


2018 (1)


2017 (6)

  • [2113] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. NMC: Nearest Matrix Classification – A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem. Information Fusion 36 (2017) 26–51. doi: 10.1016/j.inffus.2016.11.004 PDF Icon BibTex Icon
  • [2135] A. Fernandez, S. Río, N.V. Chawla, F. Herrera. An insight into imbalanced Big Data classification: outcomes and challenges. Complex & Intelligent Systems 3:2 (2017) 105–120. doi: 10.1007/s40747-017-0037-9 PDF Icon BibTex Icon
  • [2143] A. Fernandez, C.J. Carmona, M.J. del Jesus, F. Herrera. A Pareto Based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets. International Journal of Neural Systems 27 (2017) 1750028-1:1750028-21. doi: 10.1142/S0129065717500289 PDF Icon BibTex Icon
  • [2323] A. Fernandez, A. Altalhi, S. Alshomrani, F. Herrera. Why Linguistic Fuzzy Rule Based Classification Systems perform well in Big Data Applications?. International Journal of Computational Intelligence Systems 10 (2017) 1211-1225. PDF Icon BibTex Icon
  • [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. PDF Icon BibTex Icon
  • [2336] A. Fernandez, E. Almansa, F. Herrera. Chi-Spark-RS: An Spark-built evolutionary fuzzy rule selection algorithm in imbalanced classification for big data problems. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples (Italy), 1-6 July 9-12, 2017. doi: 10.1109/FUZZ-IEEE.2017.8015520 PDF Icon


2016 (8)

  • [2070] A. Fernandez, M. Elkano, M. Galar, J.A. Sanz, S. Alshomrani, H. Bustince, F. Herrera. Enhancing Evolutionary Fuzzy Systems for Multi-Class Problems: Distance-based Relative Competence Weighting with Truncated Confidences (DRCW-TC). International Journal of Approximate Reasoning 73 (2016) 108-122. doi: 10.1016/j.ijar.2016.02.005 PDF Icon BibTex Icon
  • [2073] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. Ordering-Based Pruning for Improving the Performance of Ensembles of Classifiers in the Framework of Imbalanced Datasets. Information Sciences 354 (2016) 178-196. doi: 10.1016/j.ins.2016.02.056 PDF Icon BibTex Icon
  • [2082] A. Fernandez, C.J. Carmona, M.J. del Jesus, F. Herrera. A View on Fuzzy Systems for Big Data: Progress and Opportunities. International Journal of Computational Intelligence Systems, 9:1 (2016), 69-80. doi: 10.1080/18756891.2016.1180820 PDF Icon BibTex Icon
  • [2085] A. Fernandez, F. Herrera. Evolutionary Fuzzy Systems: A Case Study in Imbalanced Classification. Fuzzy Logic and Information Fusion, Volume 339 of the series Studies in Fuzziness and Soft Computing (2016) 169-200. doi: 10.1007/978-3-319-30421-2_12 PDF Icon BibTex Icon
  • [2092] A. Fernandez, S. Río, F. Herrera. Sistemas de Clasificación Basados en Reglas Difusas para Big Data con MapReduce: Análisis de la Granularidad. XVIII Congreso Español sobre Tecnologías y Lógica Fuzzy. ESTYLF 2016, San Sebastián (Spain), 1-2, May 25-27, 2016.
  • [2094] A. Fernandez, M. Galar, E. Barrenechea, H. Bustince, F. Herrera. Ordering-Based Pruning for Improving the Performance of Ensembles of Classi ers in the Framework of Imbalanced Datasets. XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), Salamanca (Spain), 1-2, September 14-16, 2016.
  • [2095] A. Fernandez, S. Río, F. Herrera. A First Approach in Evolutionary Fuzzy Systems based on the Lateral Tuning of the Linguistic Labels for Big Data Classification. 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), Vancouver (Canada), 1-8, July 24-29, 2016.
  • [2177] M. Espinilla, A. Fernández, J. Santamaría, A. Rivera. Gamificación en procesos de autoentrenamiento y autoevaluación. Experiencia en la asignatura de Arquitectura de Computadores. Revista de Experiencias Docentes en Ingeniería de Computadores 6 (2016) 55-66.


2015 (14)

  • [1811] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera. DRCW-OVO: Distance-based Relative Competence Weighting Combination for One-vs-One Strategy in Multi-class Problems. Pattern Recognition 48 (2015) 28-42. doi: 10.1016/j.patcog.2014.07.023 PDF Icon BibTex Icon
  • [1813] S. Elhag, A. Fernandez, A. Bawakid, S. Alshomrani, F. Herrera. On the Combination of Genetic Fuzzy Systems and Pairwise Learning for Improving Detection Rates on Intrusion Detection Systems. Expert Systems with Applications 42:1 (2015) 193–202. doi: 10.1016/j.eswa.2014.08.002 PDF Icon BibTex Icon
  • [1819] S. Alshomrani, A. Bawakid, S.-O. Shim, A. Fernandez, F. Herrera. A Proposal for Evolutionary Fuzzy Systems using Feature Weighting: Dealing with Overlapping in Imbalanced Datasets. Knowledge-Based Systems 73 (2015) 1-17. doi: 10.1016/j.knosys.2014.09.002 PDF Icon BibTex Icon
  • [1843] M. Elkano, M. Galar, J.A. Sanz, A. Fernandez, E. Barrenechea, F. Herrera, H. Bustince. Enhancing multi-class classification in FARC-HD fuzzy classifier: On the synergy between n-dimensional overlap functions and decomposition strategies. IEEE Transactions on Fuzzy Systems 23:5 (2015) 1562-1580. doi: 10.1109/TFUZZ.2014.2370677 PDF Icon BibTex Icon
  • [1863] A. Fernandez, V. López, M.J. del Jesus, F. Herrera. Revisiting Evolutionary Fuzzy Systems: Taxonomy, Applications, New Trends and Challenges. Knowlegde Based Systems 80 (2015) 109–121. doi: 10.1016/j.knosys.2015.01.013 PDF Icon BibTex Icon
  • [1958] P. Villar, A. Fernández, R. Montes, A.M. Sánchez, F. Herrera. Improving the OVO performance in fuzzy rule-based classification systems by the genetic learning of the granularity level. 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), Estambul (Turkey) august 2-5, 2015.
  • [1981] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera. DRCW-OVO: Distance-based Relative Competence Weighting Combination for One-vs-One Strategy in Multi-class Problems. V Symposium of Fuzzy Logic and Soft Computing (LODISCO 2015) - CAEPIA 2015, Albacete (España), pp. 1-2, 09-12 Noviembre 2015.
  • [1982] A. Fernandez, M. Elkano, M. Galar, J.A. Sanz, H. Bustince, F. Herrera. Mejorando los Sistemas Difusos Evolutivos para Problemas Multi-Clase: Ponderando la Competencia en el Modelo Uno-contra-Uno con Truncado de las Con fianzas. II Symposium on Information Fusion and ensembles (FINO 2015) - CAEPIA 2015, Albacete (España), pp. 1-10, 09-12 Noviembre 2015.
  • [1983] M. Galar, A. Fernández, E. Barrenechea, H. Bustince, F. Herrera. Nuevas Metricas sobre Poda basada en Orden para Ensembles de Clasi cadores en Conjuntos de Datos No Balanceados. II Symposium on Information Fusion and ensembles (FINO 2015) - CAEPIA 2015, Albacete (España), pp. 1-10, 09-12 Noviembre 2015.
  • [1984] A. Fernandez, M. Galar, J.A. Sanz, H. Bustince, O. Cordón, F. Herrera. On the Impact of Distance-based Relative Competence Weighting Approach in One-vs-One Classification for Evolutionary Fuzzy Systems: DRCW-FH-GBML algorithm. 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), Estambul (Turquía) pp. 15124-15131, 02-05 Agosto 2015.
  • [1999] A. Fernandez, M.J. del Jesus, F. Herrera. Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection. 16th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2015), Lecture Notes in Computer Science (LNCS) 9375, Wroclaw (Poland), 36-44, October 14-16, 2015. PDF Icon
  • [2000] A. Fernandez, M. Galar, J.A. Sanz, H. Bustince, F. Herrera. Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection. 16th World Congress of the International Fuzzy Systems Association (IFSA), 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), Gijón (Spain) 1020-1026, June 30, July 03, 2015. PDF Icon
  • [2001] P. Villar, A. Fernandez, F. Herrera. On the combination of pairwise and granularity learning for improving fuzzy rule based classi cation systems: GL-FARCHD-OVO. 9th International Conference on Computer Recognition Systems (CORES 2015), Wroclaw (Poland), 1-8, May 25-27, 2015. PDF Icon
  • [2002] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. New Ordering-Based Pruning Metrics for Ensembles of Classi ers in Imbalanced Datasets. 9th International Conference on Computer Recognition Systems (CORES 2015), Wroclaw (Poland), 1-8, May 25-27, 2015. PDF Icon


2014 (5)

  • [1672] V. López, A. Fernandez, F. Herrera. On the Importance of the Validation Technique for Classification with Imbalanced Datasets: Addressing Covariate Shift when Data is Skewed. Information Sciences 257 (2014) 1-13. doi: 10.1016/j.ins.2013.09.038 PDF Icon BibTex Icon
  • [1709] M, Galar, A. Fernandez, E. Barrenechea, F. Herrera. Empowering difficult classes with a Similarity-based aggregation in multi-class classification problems. Information Sciences 264 (2014) 135-157. doi: 10.1016/j.ins.2013.12.053 PDF Icon BibTex Icon
  • [1782] A. Fernandez, D. Peralta, J.M. Benítez, F. Herrera. E-learning and educational data mining in cloud computing: an overview. International Journal of Learning Technology, 9:1 (2014) 25-52. PDF Icon
  • [1809] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera. Enhancing Difficult Classes in One-vs-One Classifier Fusion Strategy using Restricted Equivalence Functions. In Proceedings of the 17th International Conference on Information Fusion (FUSION'2014), SS07-DMKDIF, pp. 1-8 Salamanca (Spain), 7-10 July 2014. PDF Icon
  • [1810] A. Fernandez, S. Río, V. López, A. Bawakid, M.J. del Jesus, J.M. Benítez, F. Herrera. Big Data with Cloud Computing: An Insight on the Computing Environment, MapReduce and Programming Frameworks. WIREs Data Mining and Knowledge Discovery 4:5 (2014) 380-409. doi: 10.1002/widm.1134 PDF Icon BibTex Icon


2013 (9)

  • [1554] V. López, A. Fernandez, M.J. del Jesus, F. Herrera. A Hierarchical Genetic Fuzzy System Based On Genetic Programming for Addressing Classification with Highly Imbalanced and Borderline Data-sets. Knowledge-Based Systems 38 (2013) 85-104. doi: 10.1016/j.knosys.2012.08.025 PDF Icon BibTex Icon
  • [1587] J. Sanz, A. Fernandez, H. Bustince, F. Herrera. IVTURS: a linguistic fuzzy rule-based classification system based on a new Interval-Valued fuzzy reasoning method with TUning and Rule Selection. IEEE Transactions on Fuzzy Systems 21:3 (2013) 399-411. doi: 10.1109/TFUZZ.2013.2243153 PDF Icon BibTex Icon
  • [1594] A. Fernandez, V. López, M. Galar, M.J. del Jesus, F. Herrera. Analysing the Classification of Imbalanced Data-sets with Multiple Classes: Binarization Techniques and Ad-Hoc Approaches. Knowledge-Based Systems 42 (2013) 97-110. doi: 10.1016/j.knosys.2013.01.018 PDF Icon BibTex Icon
  • [1641] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera. EUSBoost: Enhancing Ensembles for Highly Imbalanced Data-sets by Evolutionary Undersampling. Pattern Recognition 46:12 (2013) 3460–3471. doi: j.patcog.2013.05.006 PDF Icon BibTex Icon
  • [1643] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. Dynamic Classifier Selection for One-vs-One Strategy: Avoiding Non-Competent Classifiers. Pattern Recognition 46:12 (2013) 3412–3424. doi: j.patcog.2013.04.018 PDF Icon BibTex Icon
  • [1657] V. López, A. Fernandez, S. García, V. Palade, F. Herrera. An Insight into Classification with Imbalanced Data: Empirical Results and Current Trends on Using Data Intrinsic Characteristics. Information Sciences 250 (2013) 113-141. doi: 10.1016/j.ins.2013.07.007 PDF Icon BibTex Icon
    COMPLEMENTARY MATERIAL to the paper

  • [1704] V. López, A. Fernandez, F. Herrera. Addressing Covariate Shift for Genetic Fuzzy Systems Classifiers: A Case of Study with FARC-HD for Imbalanced Datasets. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), Hyderabad (India), pp. 1-8, 7-10 July 2013. PDF Icon
  • [1749] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. Selección dinámica de clasificadores para la estrategia Uno-contra-Uno: Evitando los clasificadores no competentes. FINO 2013 (CEDI 2013), Madrid (España), pp. 1469-1478, 17-20 Septiembre 2013. PDF Icon
  • [1750] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera. Una debilidad de la estrategia Uno-contra-Uno en clasificación: Potenciando las clases difíciles. CAEPIA 2013 (CEDI 2013), Madrid (España), pp. 1333-1342, 17-20 Septiembre 2013. PDF Icon


2012 (10)

  • [1422] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. A Review on Ensembles for Class Imbalance Problem: Bagging, Boosting and Hybrid Based Approaches. IEEE Transactions on System, Man and Cybernetics - Part C: Applications and Reviews 42:4 (2012) 463-484. doi: 10.1109/TSMCC.2011.2161285 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
  • [1485] V. López, A. Fernandez, J. G. Moreno-Torres, F. Herrera. Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics. Expert Systems with Applications 39:7 (2012) 6585-6608. doi: 10.1016/j.eswa.2011.12.043 PDF Icon
  • [1501] V. López, A. Fernandez, M.J. del Jesus, F. Herrera. Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations. 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM2012), Vilamoura (Portugal), pp. 98-107, 6-8 February 2012. PDF Icon
  • [1500] V. López, A. Fernandez, M.J. del Jesus, F. Herrera. Un sistema de clasificación basado en reglas difusas jerárquico con programación genética para problemas de clasificación altamente no balanceados. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (Spain), pp. 313-318, 1-3 February 2012. PDF Icon
  • [1522] J. Sanz, A. Fernandez, H. Bustince, F. Herrera. IIVFDT: Ignorance Functions based Interval-Valued Fuzzy Decision Tree with Genetic Tuning. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 20:2 (2012) 1-30. doi: 10.1142/S0218488512500195 PDF Icon
  • [1523] P. Villar, A. Fernandez, R.A. Carrasco, F. Herrera. Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classi cation Systems for Highly Imbalanced Data-Sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 20:3 (2012) 369-397. doi: S0218488512500195 PDF Icon
  • [1532] A. Fernandez, F. Herrera. Linguistic Fuzzy Rules in Data Mining: Follow-Up Mamdani Fuzzy Modeling Principle. In: Enric Trillas, Piero P. Bonissone, Luis Magdalena and Janusz Kacprzyk (eds.): Combining Experimentation and Theory A Hommage to Abe Mamdani. Studies in Fuzziness and Soft Computing 271, (2012) 103-122. PDF Icon
  • [1545] A. Fernandez, S. Río, F. Herrera, J.M. Benítez. An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing. 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing (KMO'12), Salamanca (Spain), pp. 559-570, 11-13 July 2012. PDF Icon
  • [1546] A. Fernandez, D. Peralta, F. Herrera, J.M. Benítez. An Overview of E-Learning in Cloud Computing. Workshop on Learning Technology for Education in Cloud (LTEC'12), Salamanca (Spain), pp. 35-46, 11-13 Julio 2012. PDF Icon


2011 (11)

  • [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

  • [1345] A. Fernandez, V. López, M.J. del Jesus, F. Herrera. On the Usefulness of Fuzzy Rule Based Systems based on Hierarchical Linguistic Fuzzy Partitions. In: W. Pedrycz, S.-M. Chen (Eds.) Granular Computing and Intelligent Systems: Design with Information Granules of Higher Order and Higher Type, ISRL 13, Springer (2011), pp. 155-184, ISBN: 978-3-642-19819-9. PDF Icon
  • [1371] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. An Overview of Ensemble Methods for Binary Classifiers in Multi-class Problems: Experimental Study on One-vs-One and One-vs-All Schemes. Pattern Recognition 44:8 (2011) 1761-1776. doi: 10.1016/j.patcog.2011.01.017 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc

  • [1373] J. Sanz, A. Fernandez, H. Bustince, F. Herrera. A Genetic Tuning to Improve the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of Ignorance and Lateral Position 52:6 (2011) 751-766. International Journal of Approximate Reasoning. doi: 10.1016/j.ijar.2011.01.011 PDF Icon
  • [1385] A. Fernandez, S. García, F. Herrera. Addressing the Classi cation with Imbalanced Data: Open Problems and New Challenges on Class Distribution. 6th International Conference on Hybrid Artificial Intelligence Systems (HAIS2011). Wroclaw, Poland, 23-25 May 2011, pp. 1-10. PDF Icon
  • [1386] J. Sanz, A. Fernandez, M. Pagola, A. Brugos, H. Bustince, F. Herrera. A Case Study on Medical Diagnosis of Cardiovascular Diseases Using a Genetic Algorithm for Tuning Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets. T2FUZZ - 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (IEEE-SSCI 2011) pp. 9-15, Paris, France 11-15 April 2011. PDF Icon
  • [1420] J. Sanz, A. Fernandez, H. Bustince, F. Herrera. On the cooperation of Interval-Valued Fuzzy Sets and Genetic Tuning to Improve the Performance of Fuzzy Decision Trees. 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp. 1247-1254, Taipei (Taiwan) 27-30 June 2011. PDF Icon
  • [1421] P. Villar, A. Fernandez, F. Herrera. Studying the Behaviour of a Multiobjective Genetic Algorithm to Design Fuzzy Rule-Based Classification Systems for Imbalanced Data-sets. 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp. 1239-1246, Taipei (Taiwan) 27-30 June 2011. PDF Icon
  • [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
  • [1484] E. Barrenechea, A. Fernandez, H. Bustince, F. Herrera. Construction of Interval-valued Fuzzy Preference Relations using Ignorance Functions. Interval-valued non dominance Criterion. Workshop on Fuzzy Methods for Knowledge-Based Systems, Eurofuse 2011. Advances in Intelligent and Soft Computing ASIC 107, Régua, Portugal, 21-23 Septiembre pp. 243-255 (2011). PDF Icon


2010 (15)

  • [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

  • [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

  • [1227] A. Fernandez, M.J. del Jesus, F. Herrera. On the 2-Tuples Based Genetic Tuning Performance for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets. Information Sciences 180:8 (2010) 1268-1291. doi: 10.1016/j.ins.2009.12.014 PDF Icon
    COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc

  • [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
  • [1255] A. Fernandez, M. Calderón, E. Barrenechea, H. Bustince, F. Herrera. Resolución de Problemas Multi-clase con Sistemas de Clasificación Basados en Reglas Difusas Lingüísticos Basados en Aprendizaje por Parejas y Relaciones de Preferencia. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 97-102, 3-5 February 2010.
  • [1256] J.A. Sanz, A. Fernandez, H. Bustince, F. Herrera. Un algoritmo genético para el ajuste de Sistemas de Clasificación Basados en Reglas Difusas con Conjuntos Intervalo-Valorados Difusos. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 115-120, 3-5 February 2010.
  • [1257] A. Fernandez. Sistemas de Clasificación Basados en Reglas Difusas Lingüísticas Aplicadas a Problemas con Clases No Balanceadas. Department of Computer Science and Artificial Intelligence (DECSAI), University of Granada. March 2010.
    Advisor: F. Herrera and M.J. del Jesus
  • [1258] A. Fernandez, M.J. del Jesus, F. Herrera. Analysing the Hierarchical Fuzzy Rule Based Classification Systems with Genetic Rule Selection. Proc. of the 4th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS2010) 69-74, Mieres (Spain) 17-19 March 2010.
  • [1273] A. Fernandez, M. Calderón, E. Barrenechea, H. Bustince, F. Herrera. Solving Multi-Class Problems with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning and Preference Relations. Fuzzy Sets and Systems 161:23 (2010) 3064-3080. doi: 10.1016/j.fss.2010.05.016 PDF Icon
  • [1278] J.A. Sanz, A. Fernandez, H. Bustince, F. Herrera. Improving the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets and Genetic Amplitude Tuning. Information Sciences 180:19 (2010) 3674-3685. doi: 10.1016/j.ins.2010.06.018 PDF Icon
  • [1281] A. Fernandez, M.J. del Jesus, F. Herrera. Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning. 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU2010) Dortmund (Germany), LNAI 6178 pp 89-98, 28 June - 02 July 2010. PDF Icon
  • [1282] P. Villar, A. Fernandez, F. Herrera. A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets. 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU2010) Dortmund (Germany), CCIS 80 pp. 741-750, 28 June - 02 July 2010. PDF Icon
  • [1294] J.A. Sanz, A. Fernandez, H. Bustince, F. Herrera. A Genetic Algorithm for Tuning Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets. 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 199-206. PDF Icon
  • [1322] V. López, A. Fernandez, F. Herrera. Un primer estudio sobre el uso de aprendizaje sensible al coste con sistemas de clasificación basados en reglas difusas para problemas no balanceados. III Congreso Español de Informática (CEDI 2010). III Simposio sobre Lógica Fuzzy and Soft Computing (LFSC 2010), Valencia (Spain), pp. 459-466, 7-10 September 2010. PDF Icon
  • [1340] V. López, A. Fernandez, F. Herrera. A First Approach for Cost-Sensitive Classification with Linguistic Genetic Fuzzy Systems in Imbalanced Data-sets. 10th International Conference on Intelligent Systems Design and Applications (ISDA2010), El Cairo (Egypt), pp. 676-681, 29th November - 1st December 2010. PDF Icon


2009 (15)

  • [0896] A. Fernandez, M.J. del Jesus, F. Herrera. Hierarchical Fuzzy Rule Based Classification Systems with Genetic Rule Selection for Imbalanced Data-Sets. International Journal of Approximate Reasoning 50 (2009) 561-577. doi: 10.1016/j.ijar.2008.11.004 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc

  • [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

  • [1018] A. Fernandez, F. Herrera, M.J. del Jesus. On the Influence of an Adaptive Inference System in Fuzzy Rule Based Classification Systems for Imbalanced Data-Sets. Expert Systems With Applications 36:6 (2009) 9805-9812. doi: 10.1016/j.eswa.2009.02.048 PDF Icon
  • [1025] S. García, A. Fernandez, F. Herrera. Un Primer Estudio sobre la Utilización de Selección Evolutiva de Conjuntos de Entrenamiento en Problemas de Clasificación con Clases no Balanceadas y Árboles de Decisión. In Proceedings of VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), Málaga (Spain), 183-190, 11-13 February 2009.
  • [1035] J. Sanz, A. Fernandez, H. Bustince, F. Herrera. A First Study on the Use of Interval-Valued Fuzzy Sets with Genetic Tuning for Classification with Imbalanced Data-sets. 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, 581-588.
  • [1036] A. Fernandez, M.J. del Jesus, F. Herrera. Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-sets Using an Evolutionary Adaptive Inference System. 10th International Work-Conference on Artificial Neural Networks (IWANN09), Lecture Notes on Computer Science 5517, Salamanca (Spain), 294-301, June 2009.
  • [1037] A. Fernandez, F.J. Berlanga, M.J. del Jesus, F. Herrera. Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets. 13th International Fuzzy Systems Association World Congress and 6th European Society for Fuzzy Logic and Tecnology Conference (IFSA-EUSFLAT 2009) 42-47, Lisbon (Portugal), 20-24 July 2009.
  • [1047] S. García, A. Fernandez, F. Herrera. Enhancing the Effectiveness and Interpretability of Decision Tree and Rule Induction Classifiers with Evolutionary Training Set Selection over Imbalanced Problems. Applied Soft Computing 9 (2009) 1304-1314. doi: 10.1016/j.asoc.2009.04.004 PDF Icon
  • [1048] P. Villar, F. Herrera, A. Fernandez. A Genetic Learning of the Fuzzy Rule-Based Classification System Granularity for Highly Imbalanced Data-Sets. 2009 IEEE International Conference on Fuzzy Systems (Fuzz-IEEE09) Jeju Island, (Korea), 1689-1694, 20-24 August 2009.
  • [1059] A. Fernandez, M. Calderón, E. Barrenechea, H. Bustince F. Herrera. Enhancing Fuzzy Rule Based Systems in Multi-Classification Using Pairwise Coupling with Preference Relations. EUROFUSE09 Workshop on Preference Modelling and Decision Analysis Pamplona (Spain), 39-46, 16-18 September 2009.
  • [1061] M. D. Pérez-Godoy, A. J. Rivera, A. Fernandez, M. J. del Jesus and F. Herrera. A Preliminar Analysis of CO2RBFN in Imbalanced Problems. 10th International Work-Conference on Artificial Neural Networks (IWANN09) Lecture Notes on Computer Science 5517, Springer-Verlag, Salamanca (Spain) 57-64, June 2009.
  • [1063] J. Sanz, M. Pagola, H. Bustince, A. Fernandez, F. Herrera. Construction of Ignorance Functions from Overlap Functions. EUROFUSE09 Workshop on Preference Modelling and Decision Analysis Pamplona (Spain), 317-322, 16-18 September 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
  • [1162] P. Villar, A. Fernandez, A.M. Sánchez, F. Herrera. Un Algoritmo Genético para Selección de Características en Sistemas de Clasificación Basados en Reglas Difusas para conjuntos de datos altamente no balanceados. Actas de la XIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA09) Sevilla (Spain), 519-528, 9-13 November 2009.
  • [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 .


2008 (4)

  • [0772] A. Fernandez, S. García, M.J. del Jesus, F. Herrera. A Study of the Behaviour of Linguistic Fuzzy Rule Based Classification Systems in the Framework of Imbalanced Data Sets. Fuzzy Sets and Systems, 159:18 (2008) 2378-2398. doi: 10.1016/j.fss.2007.12.023 PDF Icon
  • [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. PDF Icon
  • [0845] A. Fernandez, M.J. del Jesus, F. Herrera. Sistemas Basados en Reglas Difusas en Clasificación: Nuevos Retos. XIV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF08) Mieres (Spain), 493-500, 17-19 September 2008.
  • [0844] A. Fernandez, M.J. del Jesus, F. Herrera. A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets. 8th International Conference on Hybrid Intelligent Systems (HIS 2008) Barcelona (Spain), 483-488, 10-12 September.


2007 (4)

  • [0664] A. Fernandez, S. García, M.J. del Jesus, F. Herrera. A study on the Use of the Fuzzy Reasoning Method based on the Winning Rule Vs. Voting Procedure for Classification with Imbalanced Data Sets. Proceedings of the 9th International Work-Conference on Artificial Neural Networks (IWANN07). Lecture Notes on Computer Science 4507, Springer-Verlag, San Sebastián (Spain), 375-382, June 2007. PDF Icon
  • [0665] A. Fernandez, S. García, M.J. del Jesus, F. Herrera. An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets. International Workshop on Fuzzy Logic and Applications (WILF07). Lecture Notes in Computer Science 4578, Springer-Verlag 2007, Genova (Italy, 2007), 170-179. PDF Icon
  • [0698] E. Herrera-Viedma, J. López-Gijón, S. Alonso, J. Vilchez Pardo, F. Herranz, A. Fernández Porcel. Midiendo la Satisfacción de Usuarios para Mejorar la Calidad en las Bibliotecas Universitarias. Proceedings of the 10as Jornadas Españolas de Documentación (Documat 2007), Santiago de Compostela (Spain), 317-325, May 9-11 2007. PDF Icon
  • [0723] S. García, A. Fernandez, A.D. Benítez, F. Herrera. Statistical Comparisons by Means of Non-Parametric Tests: A Case Study on Genetic Based Machine Learning. Proceedings of the II Congreso Español de Informática (CEDI 2007). V Taller Nacional de Minería de Datos y Aprendizaje (TAMIDA 2007), Zaragoza (Spain), 95-104, 11-14 September 2007. PDF Icon


2006 (4)

  • [0611] M.J. del Jesus, A. Fernandez, S. García, F. Herrera. A first study on the use of fuzzy rule based classification systems for problems with imbalanced data sets. Proceedings of the Symposium on Fuzzy Systems in Computer Science (FSCS 2006), Magdeburg (Germany), 63-72, 27-28 September 2006. PDF Icon
  • [0612] A. Fernandez, S. García, F. Herrera, M.J. del Jesus. Un primer estudio sobre el uso de los sistemas de clasificación basados en reglas difusas en problemas de clasificación con clases no balanceadas. Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006), Ciudad Real (Spain), 89-95, 20-22 September 2006, ISBN 84-689-9547-9. PDF Icon
  • [0614] S. García, J.R. Cano, A. Fernandez, F. Herrera. A proposal of evolutionary prototype selection for class imbalance problems. Proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL06). Lecture Notes in Computer Science 4224, Springer-Verlag 2006, Burgos (Spain) 1415-1423, September 2006. PDF Icon
  • [0643] E. Herrera-Viedma, J. López-Gijón, F. Herranz Navarra, J. Vilchez Pardo, A. Fernandez Porcel, S. Alonso. Una Herramienta para la Evaluación de la Calidad de las Bibliotecas Universitarias. Proceedings of the 4th International Symposium on Digital Libraries, Málaga (Spain), 270-281, 21-23 June 2006. PDF Icon


2004 (1)

  • [0959] J.F. Fernández-Sánchez, A. Segura, J.M. Ben�tez, C. Cruces-Blanco, A. Fernández-Gutiérrez. Fluorescence optosensor using an artificial neural network for screening of polycyclic aromatic hydrocarbons. Analytica Chimica Acta 510 (2004) 183–187. doi: 10.1016/j.aca.2004.01.012 PDF Icon


2003 (1)

  • [0795] J.F. Fernandez-Sanchez, A. Segura, M.C. Cruces, A. Fernandez, J.M. Benítez. Fluorescence optosensor using an artificial neural network for screening of polycyclic aromatic hydrocarbons. COLLOQUIUM SPECTROSCOPICUM INTERNATIONALE XXXIII, 248 - 249, 2003.


2002 (1)

  • [0801] A. Salinas, A. Segura, J.M. Benítez, M.C. Cruces, A. Fernandez. Application of Artificial Neural Networks for the simultaneous determination of polycyclicaromatic hidrocarbons by heavy-atom induced room-temperature phosphorescence. X INTERNATIONAL SYMPOSIUM ON LUMINESCENCE SPECTROMETRY-DETECTION TECHNIQUES IN FLOWING STREAMS-QUALITY ASSURANCE AND APPLIED ANALYSIS, 254 - 254, 2002.