Ph. Degrees
Jump to Year: 2011 2010 2009 2008 2007 2006 2005 2004 2003
2011 |
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E. Parras-Gutiérrez. REDES NEURONALES COEVOLUTIVAS APLICADAS A LA RESOLUCI. Department of Computer Science, University of Jaen, November 2011. Advisor: M.J. del Jesus, V.M. Rivas-Santos |
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C.J. Carmona. Sistemas Difusos Evolutivos para la Obtención de Modelos Descriptivos mediante Aprendizaje Supervisado. Department of Computer Science, University of Jaen, September 2011. Advisor: M.J. del Jesus, P. González |
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N. Macia. Data complexity in supervised learning: A far-reaching implication. PhD thesis, Computer Science, La Salle Universitat Ramon Llull, October 2011. Advisor: E. Bernadó-Mansilla |
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J. Luengo. Soft Computing based learning and Data Analysis: Missing Values and Data Complexity. Department of Computer Science and Artificial Intelligence, University of Granada, January 2011. Advisor: F. Herrera |
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2010 |
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A. Fernández. Sistemas de Clasificación Basados en Reglas Difusas Lingüísticas Aplicadas a Problemas con Clases No Balanceadas. Department of Computer Science and Artificial Intelligence, University of Granada, March 2010. Advisor: F. Herrera, M.J. del Jesus |
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F.J. Berlanga. Aprendizaje de Sistemas Basados en Reglas Difusas Compactos y Precisos con Programación Genética. Department of Computer Science and Artificial Intelligence, University of Granada, June 2010. Advisor: F. Herrera, M.J. del Jesus |
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María José Gacto. Optimización evolutiva multi-objetivo de medidas de complejidad e interpretabilidad semántica para sistemas basados en reglas lingüísticas. PhD thesis, Department of Computer Science and Artificial Intelligence, University of Granada, November 2010. Advisor: R. Alcalá, F. Herrera |
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J.C. Fernandez. Algoritmos de aprendizaje bioinspirados multi-objetivo para el diseño de modelos de redes neuronales artificiales en clasificación. PhD thesis, Department of Computer Science and Artificial Intelligence, University of Granada, September 2010. Advisor: F. J. Martínez, C. Hervás-Martínez |
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Mª Dolores Pérez Godoy. Métodos híbridos evolutivos cooperativos-competitivos para el diseño de Redes de Funciones de Base Radial. Informática, Jaén, Abril 2010. Advisor: M.J. del Jesus, A.J. Rivera |
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Adolfo Otero. Integración de Información y Compensación de Sensores con Tolerancia Variable basadas en Soft Computing Aplicadas a la Metrología Dimensional en Inspección de Vehículos. PhD thesis, Electrical Engineering, Oviedo, December 2010. Advisor: L. Sánchez, J. Otero |
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2009 |
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P.A. Gutiérrez. Nuevos Modelos de Redes Neuronales Evolutivas y Regresión Logística Generalizada utilizando Funciones de Base. Aplicaciones. PhD thesis, Department of Computer Science and Artificial Intelligence, University of Granada, June 2009. Advisor: C. Hervás-Martínez |
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Amelia Zafra. Modelos de programación genética gramatical para aprendizaje con múltiples instancias. Department of Computer Science and Artificial Intelligence, University of Granada, October 2009. Advisor: S. Ventura |
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2008 |
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P. González. Aprendizaje Evolutivo de Reglas Difusas para Descripción de Subgrupos. PhD thesis, Department of Computer Science, University of Jaén, January 2008. Advisor: F. Herrera, M.J. del Jesus |
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Albert Orriols-Puig. New Challenges in Learning Classifier Systems: Mining Rarities and Evolving Fuzzy Models. Computer Science Department, University Ramon Llull, December 2008. Advisor: E. Bernadó-Mansilla |
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S. García. Nuevos Retos en la Selección Evolutiva de Instancias: Escalabilidad, Aprendizaje con Clases no Balanceadas y Caracterización de la Eficacia. Computer Science and Artificial Intelligence, Granada, December 2008. Advisor: F. Herrera |
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2007 |
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F.A. Márquez. Cooperación entre Sistemas de Inferencia, Métodos de Defuzzificación y Aprendizaje de Sistemas Difusos Lingüísticos. PhD thesis, Department of Electronic Engineering, Informatic Systems and Automatic, University of Huelva, November 2007. Advisor: F. Herrera, A. Peregrín |
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D. Molina. Algoritmos Meméticos con Aplicación Adaptativa de la Búsqueda Local para Optimización Contínua. Department of Computer Scienc, University of Granada, October 2007. Advisor: F. Herrera, M. Lozano |
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M.R. Suárez. Estimacion de la informacion mutua en problemas con datos imprecisos. PhD thesis, Department of Computer Science and Artificial Intelligence, University of Oviedo, April 2007. Advisor: L. Sánchez |
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2006 |
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J. Alcala-Fdez. Modelado Lingüístico Flexible Mediante el Uso de la Representación de 2-Tuplas Lingüísticas. PhD thesis, Department Computer Science and Artificial Intelligence, University of Granada, September 2006. Advisor: R. Alcalá, F. Herrera |
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2005 |
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A.C. Martínez-Estudillo. Modelos de regresión basados en redes neuronales diseñadas y entrenadas mediante algoritmos de optimización híbrida. Aplicaciones. PhD thesis, Department of Computer Science and Artificial Intelligence, University of Granada, May 2005. Advisor: C. Hervás, F. J. Martínez |
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2004 |
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J.R. Cano. Reducción de datos basada en la selección evolutiva de instancias para minería de datos. PhD thesis, Department of Computer Science and Artificial Intelligence, University of Granada, October 2004. Advisor: F. Herrera, M. Lozano |
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J. Bacardit. Pittsburgh genetic-based machine learning in the data mining era: representations, generalization and run-time. PhD thesis, Department of Computer Science, University Ramon LLull, December 2004. Advisor: J.M. Garrell |
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2003 |
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E.R. Sanz. Asignación de Crédito Multiobjetivo en Coevolución Cooperativa. Modelo General y Aplicaciones. PhD thesis, Department of Computer Science, University of Malaga, December 2003. Advisor: C. Hervás, J. Muñoz |
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C. Romero. Aplicación de técnicas de adquisición de conocimiento para la mejora de cursos hipermedia adaptativos basados en WEB. PhD thesis, Department of Computer Science and Artificial Intelligence, University of Granada, September 2003. Advisor: S. Ventura, C. de Castro |
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E.A. de la Cal. Análisis y estimación de ofertas de generación en el mercado eléctrico español mediante algoritmos genéticos. PhD thesis, Department of Computer Science, University of Oviedo, September 2003. Advisor: L. Sánchez |
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V.M. Rivas. Optimización de Redes Neuronales de Funciones Base Radiales mediante Algoritmos Evolutivos. PhD thesis, Department of Arquitectura y Tecnología de los Computadores, University of Granada, June 2003. Advisor: J.J. Merelo |
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Journal Contributions: Accepted
Jump to Year: 2012 2011 2010
2012 |
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C.J. Carmona, P. González, M.J. Gacto, M.J. del Jesus. Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD. International Journal of Computational Intelligence Systems (2012) In press |
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A. Castaño, F. Fernández-Navarro, P.A. Gutiérrez, C. Hervás-Martínez. Permanent Disability Classification by Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods. Expert Systems with Applications (2012) In press |
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M. Galar, A. Fernández, 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, doi: 10.1109/TSMCC.2011.2161285 (2012) In press |
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S. García, J. Luengo, J.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 (2012) In press |
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C. Hervás-Martínez, S. Salcedo-Sanz, P.A. Gutiérrez, E. Ortiz-García, L. Prieto. Evolutionary product unit neural networks for short-term wind speed forecasting in wind farms. Neural Computing & Applications (2012) In press |
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J. Luengo, J.A. Sáez, F. Herrera. Missing data imputation for Fuzzy Rule Based Classification Systems. Soft Computing (2012) In press |
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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 (2012) In press |
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A. Palacios, J. Alcala-Fdez. Mining Fuzzy Association Rules from Low Quality Data. Soft Computing, doi: 10.1007/s00500-011-0775-3 (2012) In press |
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E. Parras, M. García-Arenas, V.M. Rivas, M.J. del Jesus. Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm. Soft Computing (2012) In press |
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C. Romero, A. Zafra, J.M. Luna, S. Ventura. Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data. Expert Systems: The Journal of Knowledge Engineering (2012) In press |
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C. Romero, P.G. Espejo, A. Zafra, J.R. Romero, S. Ventura. Web Usage Mining for Predicting Final Marks of Students that Use Moodle Courses. Computer Applications in Engineering Education (2012) In press |
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J. Sedano, E. Corchado, L. Curiel, J.R. Villar. Optimising the Operating Conditions in a High Precision Industrial Process Using Soft Computing. Expert Systems (2012) In press |
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A. Zafra, S. Ventura. Multi-Objective Approach Based on Grammar-Guided Genetic Programming for Solving Multiple Instance Problems. Soft Computing (2012) In press |
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2011 |
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G. Corral, A. Garcia-Piquer, A. Orriols-Puig, A. Fornells, E. Golobardes. Analysis of Vulnerability Assessment Results based on CAOS. Applied Soft Computing (2011) In press |
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I. Couso, L. Sánchez. Inner and outer fuzzy approximations of confidence intervals. Fuzzy Sets and Systems (2011) In press |
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I. Couso, D. Dubois. Rough Sets, Coverings and Incomplete Information. Fundamenta Informaticae (2011) In press |
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M.J. del Jesus, J.A. Gámez, P. González, J.M. Puerta. On the discovery of association rules by means of evolutionary algorithms. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (2011) In press |
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C. García-Alonso, L.M. Pérez-Naranjo, J.C. Fernández. Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms. Annals of Operations Research (2011) In press |
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J.M. Luna, J.R. Romero, S. Ventura. Design and Behaviour Study of a Grammar Guided Genetic Programming Algorithm for Mining Association Rules. Knowledge and Information Systems (2011) In press |
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A.A. Marquez, F.A. Márquez, A. Peregrin. A Mechanism to Improve the Interpretability of Linguistic Fuzzy Systems with Adaptive Defuzzification based on the use of a Multi-objective Evolutionary Algorithm. International Journal of Computational Intelligence Systems (2011) In press |
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A. Palacios, L. Sánchez, I. Couso. Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers. International Journal of Computational Intelligence Systems (2011) In press |
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A. Palacios, L. Sánchez, I. Couso. Linguistic Cost-Sensitive Learning of Genetic Fuzzy Classifiers for Imprecise Data. International Journal of Approximate Reasoning (2011) In press |
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A. Palacios, L. Sánchez, I. Couso. Boosting of fuzzy rules with low quality data. Journal of Multivalued Logic and Soft Computing (2011) In press |
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A.J. Rivera, P. Pérez, M.D. Pérez-Godoy, M.J. del Jesus, M.P. Frías, M. Parras. A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods. Applied Intelligence (2011) In press |
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J. Sedano, J.R. Villar, L. Curiel, E. Corchado, E.A. de la Cal. Learning and training techniques in fuzzy control for energy efficiency in buildings. Logic Journal of the IGPL (2011) In press |
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A. Zafra, M. Pechenizkiy, S. Ventura. HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning . Information Sciences (2011) In press |
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2010 |
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J.G. Moreno-Torres, X. Llorà, D.E. Goldberg, A. Bhargava. Repairing fractures between data using genetic programming-based feature extraction: A case study in cancer diagnosis. Information Sciences (2010) In press |
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A. Palacios, L. Sánchez, I. Couso. Future performance modelling in athletism with low quality data-based GFSs. Journal of Multivalued Logic and Soft Computing (2010) In press |
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L. Sánchez, I. Couso. Obtaining Fuzzy Rules from Interval Censored Data with Genetic Algorithms and a Random Sets-based Semantic of the Linguistic Labels. Soft Computing (2010) In press |
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Journal Contributions: Published
Jump to Year:
2012 2011 2010 2009 2008 2007 2006 2005 2004 2003
2012 |
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J.R. Cano. Predictive–collaborative model as recovery and validation tool. Case of study: Psychiatric emergency department decision support. Expert Systems with Applications 39 (2012) 4044-4048 |
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A. Cano, A. Zafra, S. Ventura. Speeding up the evaluation phase of GP classification algorithms on GPUs. Soft Computing, DOI: 10.1007/s00500-011-0713-4 16:2 (2012) 187-202 |
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F. Chávez, F. Fernández, R. Alcalá, J. Alcala-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 |
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J. Derrac, C. Cornelis, S. García, F. Herrera. Enhancing Evolutionary Instance Selection Algorithms by means of Fuzzy Rough Set based Feature Selection. Information Sciences 186:1 (2012) 73-92 |
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M.J. Gacto, R. Alcalá, F. Herrera. A Multi-Objective Evolutionary Algorithm for an Effective Tuning of Fuzzy Logic Controllers in Heating, Ventilating and Air Conditioning Systems. Applied Intelligence, doi: 10.1007/s10489-010-0264-x 36:2 (2012) 330-347 |
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S. García, J. Derrac, J.R. Cano, F. Herrera. Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study. IEEE Transactions on Pattern Analysis and Machine Intelligence 34:3 (2012) 417-435 |
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S. García, J. Derrac, I. Triguero, C.J. Carmona, F. Herrera. Evolutionary-Based Selection of Generalized Instances for Imbalanced Classification.. Knowledge Based Systems 25:1 (2012) 3-12 |
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V. López, A. Fernández, 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 |
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J.G. Moreno-Torres, T. Raeder, R. Alaiz-Rodriguez, N. Chawla, F. Herrera. A unifying view on dataset shift in classification. Pattern Recognition 45 (2012) 521-530 |
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I. Triguero, J. Derrac, S. García, F. Herrera. A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification. IEEE Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews 42:1 (2012) 86-100 |
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J.R. Villar, A. Berzosa, E.A. de la Cal, J. Sedano, M. García-Tamargo. Multi-objective learning of white box models with low quality data. Neural Computing 75:1 (2012) 219-225 |
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A. Zafra, M. Pechenizkiy, S. Ventura. ReliefF-MI: An extension of ReliefF to Multiple Instance Learning. Neurocomputing 75:1 (2012) 210-218 |
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2011 |
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R. Alcalá, M.J. Gacto, F. Herrera. A Fast and Scalable Multi-Objective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems. IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2011.2131657. COMPLEMENTARY MATERIAL to the paper can be found at http://sci2s.ugr.es/FS-MOGFS/ 19:4 (2011) 666-681 |
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R. Alcalá, Y. Nojima, F. Herrera, H. Ishibuchi. Multiobjective Genetic Fuzzy Rule Selection of Single Granularity-Based Fuzzy Classification Rules and its Interaction with the Lateral Tuning of Membership Functions. Soft Computing 15:12 (2011) 2303-2318 |
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J. Alcala-Fdez, A. Fernández, 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 |
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J. Alcala-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 |
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J.L. Ávila, E.L. Gibaja, A. Zafra, S. Ventura. A Gene Expression Programming Algorithm for Multi-Label Classification. Journal of Multiple-Valued Logic and Soft Computing 17:3 (2011) 183-206 |
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C.J. Carmona, P. González, M.J. del Jesus, M. Navio, L. Jiménez. Evolutionary Fuzzy Rule Extraction for Subgroup Discovery in a Psychiatric Emergency Department. Soft Computing 15:12 (2011) 2435-2448 |
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A. Castaño, F. Fernández-Navarro, C. Hervás-Martínez, P.A. Gutiérrez. Neuro-logistic models based on Evolutionary Generalized Radial Basis Function for the microarray gene expression classification problem. Neural Processing Letters 34:2 (2011) 117-131 |
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I. Couso, L. Sánchez. Upper and lower probabilities induced by a fuzzy random variable. Fuzzy Sets and Systems 165:1 (2011) 1-23 |
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I. Couso, L. Sánchez. Mark-recapture techniques in statistical tests for imprecise data. International Journal of Approximate Reasoning 52:2 (2011) 240-260 |
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J. Derrac, S. García, D. Molina, F. Herrera. A Practical Tutorial on the Use of Nonparametric Statistical Tests as a Methodology for Comparing Evolutionary and Swarm Intelligence Algorithms.. Swarm and Evolutionary Computation 1:1 (2011) 3-18 |
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J.C. Fernández, C. Hervás-Martínez, F.J. Martínez-Estudillo, P.A. Gutiérrez. Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology. Applied Soft Computing 11:1 (2011) 534-550 |
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F. Fernández-Navarro, C. Hervás-Martínez, J. Sánchez-Monedero, P.A. Gutiérrez. MELM-GRBF: A modified version of the Extreme Learning Machine for Generalized Radial Basis Function Neural Networks. Neurocomputing 74:16 (2011) 2502-2510 |
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F. Fernández-Navarro, C. Hervás-Martínez, P.A. Gutiérrez. A dynamic over-sampling procedure based on sensitivity for multi-class problems. Pattern Recognition 44:8 (2011) 1821-1833 |
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F. Fernández-Navarro, C. Hervás-Martínez, C. García-Alonso, M. Torres-Jiménez. Determination of relative agrarian technical efficiency by a dynamic over-sampling procedure guided by minimum sensitivity. Expert Systems with Applications 38:10 (2011) 12483-12490 |
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F. Fernández-Navarro, C. Hervás-Martínez, P.A. Gutiérrez, M. Carbonero-Ruz. Evolutionary q-Gaussian Radial Basis Functions Neural Networks for Multi-Classification. Neural Networks 24:7 (2011) 779-784 |
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F. Fernández-Navarro, C. Hervás-Martínez, P.A. Gutiérrez, J.M. Peña-Barragán, F. López-Granados. Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for Binary Classification. Neurocomputing 75:1 (2011) 123-134 |
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F. Fernández-Navarro, C. Hervás-Martínez, M. Cruz-Ramírez, P.A. Gutiérrez, A. Valero. Evolutionary q-Gaussian Radial Basis Function Neural Network to determine the microbial growth/no growth interface of Staphylococcus aureus. Applied Soft Computing 11:3 (2011) 3012-3020 |
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M.J. Gacto, R. Alcalá, F. Herrera. Interpretability of Linguistic Fuzzy Rule-Based Systems: An Overview of Interpretability Measures. Information Sciences (doi: 10.1016/j.ins.2011.02.021, COMPLEMENTARY MATERIAL can be found at http://sci2s.ugr.es/fuzzy-interpretability/ ) Vol 181:20 (2011) 4340-4360 |
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M. Galar, A. Fernández, 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 |
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E. García, C. Romero, S. Ventura, C. de Castro. A collaborative educational association rule mining tool. Internet and Higher Education 14 (2011) 77-88 |
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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 |
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P.A. Gutiérrez, C. Hervás-Martínez, F.J. Martínez-Estudillo. Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks. IEEE Transactions on Neural Networks 22:2 (2011) 246-263 |
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F. Herrera, C.J. Carmona, P. González, M.J. del Jesus. An overview on Subgroup Discovery: Foundations and Applications. Knowledge and Information Systems 29:3 (2011) 495-525 |
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L.I. López, J.M. Bardallo, M.A. De Vega, A. Peregrin. REGAL-TC: A Distributed Genetic Algorithm for Concept Learning Based on REGAL and the Treatment of Counterexamples. Soft Computing 15:7 (2011) 1389-1403 |
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J. Luengo, F. Herrera. Shared Domains of Competence of Approximative Models using Measures of Separability of Classes. Information Sciences 185:1 (2011) 43-65 |
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J. Luengo, A. Fernández, 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 |
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J.L. Olmo, J.R. Romero, S. Ventura. Using Ant Programming Guided by Grammar for Building Rule-Based Classifiers. IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics 41:6 (2011) 1585-1599 |
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A. Orriols-Puig, J. Casillas. Fuzzy knowledge representation study for incremental learning in data streams and classification problems. Soft Computing 15:12 (2011) 2389-2414 |
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R. Riego, J. Otero, J. Ranilla. A low-cost 3D human interface device using GPU-based optical flow algorithms. Integrated Computer-Aided Engineering 18:4 (2011) 391-400 |
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M.A. Rodriguez, D.M. Escalante, A. Peregrin. Efficient Distributed Genetic Algorithm for Rule extraction. Applied Soft Computing 11:1 (2011) 733-743 |
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C. Romero, S. Ventura. Preface to the Special Issue on Data Mining for Personalised Educational Systems.. User Modeling and User-Adapted Interaction 21:1-2 (2011) 1-3 |
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C. Romero, J.M. Luna, J.R. Romero, S. Ventura. RM-Tool: A framework for discovering and evaluating association rules. Advances in Engineering Software 42 (2011) 566-576 |
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J. Sánchez-Monedero, P.A. Gutiérrez, F. Fernández-Navarro, C. Hervás-Martínez. Weighting efficient Accuracy and Minimum Sensitivity for evolving multi-class classifiers. Neural Processing Letters 34:2 (2011) 101-116 |
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J. Sanz, A. Fernández, 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. International Journal of Approximate Reasoing 52:6 (2011) 751-766 |
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J. Sedano, A. Berzosa, J.R. Villar, E. Corchado, E.A. de la Cal. Optimising operational costs using Soft Computing techniques. Integrated Computer-Aided Engineering 18:4 (2011) 313-325 |
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A.J. Tallón-Ballesteros, C. Hervás-Martínez. A two-stage algorithm in evolutionary product unit neural networks for classification. Expert Systems with Applications 38:1 (2011) 743-754 |
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I. Triguero, S. García, F. Herrera. Differential Evolution for Optimizing the Positioning of Prototypes in Nearest Neighbor Classification. Pattern Recognition 44:4 (2011) 901-916 |
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A. Zafra, C. Romero, S. Ventura. . Multiple Instance Learning for Classifying Students in Learning Management Systems. Expert Systems With Applications 38 (2011) 15020-15031 |
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A. Zafra, E. Gibaja, S. Ventura. Multi-instance Learning with Multi-Objective Genetic Programming for Web Mining. Applied Soft Computing 11:1 (2011) 93-102 |
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2010 |
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J. Alcala-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) 1-14 |
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F.J. Berlanga, A.J. Rivera, M.J. del Jesus, F. Herrera. GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems. Information Sciences 180:8 (2010) 1183-1200 |
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C.J. Carmona, P. González, M.J. del Jesus, F. Herrera. NMEEF-SD: Non-dominated Multi-objective Evolutionary algorithm for Extracting Fuzzy rules in Subgroup Discovery. IEEE Transactions on Fuzzy Systems 18:5 (2010) 958-970 |
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A. Castaño, F. Fernández-Navarro, C. Hervás-Martínez, M.M. García, P.A. Gutiérrez. Classification by Evolutionary Generalized Radial Basis Functions. International Journal of Hybrid Intelligent Systems 7:1 (2010) 1-10 |
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M. Cruz-Ramírez, J. Sáchez-Monedero, F. Fernández-Navarro, J.C. Fernández, C. Hervás-Martínez. Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology. Evolutionary Intelligence 3:3-4 (2010) 187-199 |
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J. Derrac, S. García, F. Herrera. A Survey on Evolutionary Instance Selection and Generation. International Journal of Applied Metaheuristic Computing 1:1 (2010) 60-92 |
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J. Derrac, S. García, F. Herrera. Stratified Prototype Selection based on a Steady-State Memetic Algorithm: A Study of scalability. Memetic Computing 2:3 (2010) 183-199 |
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J. Derrac, S. García, F. Herrera. IFS-CoCo: Instance and Feature Selection based on Cooperative Coevolution with Nearest Neighbor Rule. Pattern Recognition 43:6 (2010) 2082-2105 |
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P.G. Espejo, S. Ventura, F. Herrera. A Survey on the Application of Genetic Programming to Classification. IEEE Transactions on Systems, Man and Cybernetics: Part C 40:2 (2010) 121-144 |
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A. Fernández, 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 |
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J.C. Fernández, F.J. Martínez-Estudillo, C. Hervás-Martínez, P.A. Gutiérrez. Sensitivity Versus Accuracy in Multiclass Problems Using Memetic Pareto Evolutionary Neural Networks. IEEE Transacctions on Neural Networks 21:5 (2010) 750-770 |
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A. Fernández, 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 |
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A. Fernández, 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 |
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F. Fernández-Navarro, A. Valero, C. Hervás-Martínez, P.A. Gutiérrez, R.M. García-Gimeno, G. Zurera-Cosano. Development of a multi-classification neural network model to determine the microbial growth/no growth interface. International Journal of Food Microbiology 141:3 (2010) 203-212 |
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M.J. Gacto, R. Alcalá, F. Herrera. Integration of an Index to Preserve the Semantic Interpretability in the Multi-Objective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems. IEEE Transactions on Fuzzy Systems 18:3 (2010) 515-531 |
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S. García, A. Fernández, 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 |
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C. García-Alonso, M. Torres-Jiménez, C. Hervás-Martínez. Income prediction in the agrarian sector using product unit neural networks. European Journal of Operational Research 204:2 (2010) 355-365 |
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P.A. Gutiérrez, C. Hervás-Martínez, M. Lozano. Designing Multilayer Perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm. Soft Computing 14:6 (2010) 599-613 |
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P.A. Gutiérrez, M.J. Segovia-Vargas, S. Salcedo-Sanz, C. Hervás-Martínez, A. Sanchis, J.A. Portilla-Figueras, F. Fernández-Navarro. Hybridizing logistic regression with product unit and RBF networks for accurate detection and prediction of banking crises. OMEGA - The International Journal of Management Science 38:5 (2010) 333-344 |
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C. Hervás-Martínez, P.A. Gutiérrez, J.M. Peña-Barragán, M. Jurado-Expósito, F. López-Granados. A logistic radial basis function regression method for discrimination of cover crops in olive orchards. Expert Systems with Applications 37:12 (2010) 8432-8444 |
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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, doi:10.1016/j.fss.2009.04.001 161:1 (2010) 3-19 |
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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 (2010) 406-418 |
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M. Mucientes, J. Alcala-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 |
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D. Nettleton, A. Orriols-Puig, A. Fornells. A Study of the Effect of Different Types of Noise on the Precision of Supervised Learning Techniques. Artificial Intelligence Review 33:4 (2010) 275-306 |
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A. Palacios, L. Sánchez, I. Couso. Diagnosis of dyslexia with low quality data with genetic fuzzy systems. International Journal of Approximate Reasoning 51:8 (2010) 993-1009 |
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M.D. Pérez-Godoy, A.J. Rivera, F.J. Berlanga, M.J. del Jesus. CO2RBFN: an evolutionary cooperative–competitive RBFN design algorithm for classification problems. Soft Computing - A Fusion of Foundations, Methodologies and Applications 14 (2010) 953-971 |
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M.D. Pérez-Godoy, A. Fernández, A.J. Rivera, M.J. del Jesus. Analysis of an Evolutionary RBFN Design Algorithm CO2RBFN for Imbalanced Data-Sets. Pattern Recognition Letters 31:15 (2010) 2375-2388 |
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M.D. Pérez-Godoy, P. Pérez., A.J. Rivera, M.J. del Jesus, C.J. Carmona, M.P. Frías, M. Parras. CO2RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market. International Journal of Hybrid and Intelligent Systems 7:1 (2010) 75-87 |
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C. Romero, S. Ventura. Educational Data Mining: A Review of the State-of-the-Art.. IEEE Transaction on Systems, Man, and Cybernetics, Part C 40:6 (2010) 601-618 |
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L. Sánchez, I. Couso, J. Otero, A. Palacios. Assessing the evolution of learning capabilities and disorders with a graphical exploratory analysis of surveys containing missing and conflicting answers. Neural Network World 20:7 (2010) 825-838 |
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J. Sánchez-Monedero, C. Hervás-Martínez, P.A. Gutiérrez, M. Carbonero-Ruz, M.C. Ramírez-Moreno, M. Cruz-Ramírez. Evaluating the Performance of Evolutionary Extreme Learning Machines by a Combination of Sensitivity and Accuracy Measures. Neural Network World 2010:7 (2010) 899-912 |
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J.A. Sanz, A. Fernández, 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 |
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J. Sedano, L. Curiel, E. Corchado, E.A. de la Cal, J.R. Villar. A soft computing method for detecting lifetime building thermal insulation failures. Integrated Computer-Aided Engineering 17:2 (2010) 103-115 |
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J. Sedano, E. Corchado, J.R. Villar, L. Curiel, E.A. de la Cal. Detection of Heat Flux failures in Building using a Soft computing Diagnostic System. Neural Network World 20:7 (2010) 883-898 |
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M.R. Suárez, J.R. Villar, J. Grande. A Feature Selection method using a fuzzy mutual information measure. International Journal of Reasoning-based Intelligent Systems 2:2 (2010) 133-141 |
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I. Triguero, S. García, F. Herrera. IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification. IEEE Transactions on Neural Networks 21:12 (2010) 1984-1990 |
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J.R. Villar, A. Otero, J. Otero, L. Sánchez. Taximeter verification with GPS and Soft Computing Techniques. Soft Computing 14:4 (2010) 405-418 |
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A. Zafra, S. Ventura. G3P-MI: A Genetic Programming Algorithm for Multiple Instance Learning. Information Sciences 180:23 (2010) 4496-4513 |
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2009 |
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R. Alcalá, P. Ducange, F. Herrera, B. Lazzerini, F. Marcelloni. A Multi-Objective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy Rule-Based Systems. IEEE Transactions on Fuzzy Systems 17:5 (2009) 1106-1122 |
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R. Alcalá, J. Alcala-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 |
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J. Alcala-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 |
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J. Alcala-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, doi:10.1016/j.fss.2008.05.012 160:7 (2009) 905-921 |
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J.R. Cano, M.J. del Jesus, P. González, J.J. Aguilera, A.G. López-Herrera, F. Herrera, M. Navio, M.A. Jiménez. Modelo Predictivo Colaborativo de Apoyo al Diagnóstico en Servicio de Urgencias Psiquiátricas. Revista Ibérica de Sistemas y Tecnologías de la Información 4 (2009) 29-42 |
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J. Casillas, P. Martínez, A.D. Benítez. Learning consistent, complete and compact sets of fuzzy rules in conjunctive normal form for regression problems. Soft Computing 13:5 (2009) 451-465 |
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J. Casillas, F.J. Martínez-López. A knowledge discovery method based on genetic fuzzy systems for obtaining consumer behaviour patterns. An empirical application to a web-based trust model. International Journal of Management and Decision Making 10:5-6 (2009) 402-428 |
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J. Casillas, F.J. Martínez-López. Mining uncertain data with multiobjective genetic fuzzy systems to be applied in consumer behaviour modelling. Expert Systems With Applications 36:2 (2009) 1645-1659 |
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A. Fernández, M.J. del Jesus, F. Herrera. 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 |
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A. Fernández, 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 |
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M.J. Gacto, R. Alcalá, F. Herrera. Adaptation and Application of Multi-Objective Evolutionary Algorithms for Rule Reduction and Parameter Tuning of Fuzzy Rule-Based Systems. Soft Computing, doi:10.1007/s00500-008-0359-z 13:5 (2009) 419-436 |
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S. García, D. Molina, M. Lozano, F. Herrera. A Study on the Use of Non-Parametric Tests for Analyzing the Evolutionary Algorithms' Behaviour: A Case Study on the CEC'2005 Special Session on Real Parameter Optimization. Journal of Heuristics 15 (2009) 617-644 |
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E. García, C. Romero, S. Ventura, C. de Castro. An architecture for making recommendations to courseware authors through association rule mining and collaborative filtering. User Modeling and User Adapted-Interaction 19:1-2 (2009) 99-132 |
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S. García, A. Fernández, 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 |
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C. García, J. Guardiola, C. Hervás-Martínez. Logistic evolutionary product-unit neural networks: Innovation capacity of poor Guatemalan households. European Journal of Operational Research 195:2 (2009) 543-551 |
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S. García, J.R. Cano, E. Bernadó-Mansilla, F. Herrera. Diagnose of Effective Evolutionary Prototype Selection using an Overlapping Measure. International Journal of Pattern Recognition and Artificial Intelligence 23:8 (2009) 1527-1548 |
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S. García, A. Fernández, 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 9:4 (2009) 1304-1314 |
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S. García, F. Herrera. Evolutionary Under-Sampling for Classification with Imbalanced Data Sets: Proposals and Taxonomy. Evolutionary Computation 17:3 (2009) 275-306 |
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P.A. Gutiérrez, C. Hervás-Martínez, M. Carbonero, J.C. Fernández. Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks. Neurocomputing 72:13-15 (2009) 2731-2742 |
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P.A. Gutiérrez, C. Hervás-Martínez, J.C. Fernández, M. Jurado-Expósito, J.M. Peña-Barragán, F. López-Granados. Structural simplification of hybrid neuro-logistic regression models in multispectral analysis of remote sensed data. Neural Network World 19:1 (2009) 3-20 |
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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 |
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A.A. Marquez, F.A. Márquez, A. Peregrin. Rule Base and Adaptive Fuzzy Operators Cooperative Learning of Mamdani Fuzzy Systems with Multi-Objective Genetic Algorithms. Evolutionary Intelligence 2 (2009) 39-51 |
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F.J. Martínez-López, J. Casillas. Marketing intelligent systems for consumer behaviour modelling by a descriptive induction approach based on genetic fuzzy systems. Industrial Marketing Management 38:7 (2009) 714-731 |
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S. Morales-Ortigosa, A. Orriols-Puig, E. Bernadó-Mansilla. Analysis and Improvement of the Genetic Discovery Component of XCS. International Journal of Hybrid and Intelligent Systems 6 (2009) 1-15 |
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M. Mucientes, R. Alcalá, J. Alcala-Fdez, J. Casillas. Learning Weighted Linguistic Rules to Control an Autonomous Robot. International Journal of Intelligent Systems 24:3 (2009) 226-251 |
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A. Orriols-Puig, E. Bernadó-Mansilla, D.E. Goldberg, K. Sastry, P.L. Lanzi. Facetwise Analysis of XCS for Problems with Class Imbalances. IEEE Transactions on Evolutionary Computation 13:5 (2009) 1093-1119 |
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A. Orriols-Puig, J. Casillas, E. Bernadó-Mansilla. Fuzzy-UCS: A Michigan-style Fuzzy-Learning Classifier System for Supervised Learning. IEEE Transactions on Evolutionary Computation 13:2 (2009) 260-283 |
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A. Orriols-Puig, J. Casillas, F.J. Martínez-López. Unsupervised Learning of Fuzzy Association Rules for Consumer Behavior Modeling. Mathware and Soft Computing 16 (2009) 29-43 |
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A. Palacios, L. Sánchez, I. Couso. Extending a simple Genetic Cooperative-Competitive learning fuzzy classifier to low quality datasets. Evolutionary Intelligence International Journal 2:1-2 (2009) 73-84 |
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I. Robles, R. Alcalá, J.M. Benítez, F. Herrera. Evolutionary Parallel and Gradually Distributed Lateral Tuning of Fuzzy Rule-Based Systems. Evolutionary Intelligence 2 (2009) 5-19 |
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C. Romero, A. Zafra, S. Ventura, P. de Bra. Applying Web Usage Mining for Personalizing Hyperlinks in Web-based Adaptive Educational Systems. Computers and Education 53 (2009) 828-840 |
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C. Romero, P. González, S. Ventura, M.J. del Jesus, F. Herrera. Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data. Expert Systems with Applications 36:2 (2009) 1632-1644 |
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C. Romero, S. Ventura, P. de Bra. Using Mobile and Web-based Computerized Test for Evaluating University Students. Computer Applications in Engineering Education 17:4 (2009) 435-447 |
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L. Sánchez, I. Couso, J. Casillas. Genetic Learning of Fuzzy Rules based on Low Quality Data. Fuzzy Sets and Systems 160:17 (2009) 2524-2552 |
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J. Sedano, J.R. Villar, E. Corchado, L. Curiel, P. Bravo. The application of a two-step AI model to an Automated Pneumatic Drilling Process. International Journal of Computer Mathematics 86:10 (2009) 1769-1777 |
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M. Torres, C. Hervás-Martínez, C. García. Multinomial logistic regression and product unit neural network models: Application of a new hybrid methodology for solving a classification problem in the livestock sector. Expert Systems with Applications 36:10 (2009) 12225-12235 |
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J.R. Villar, E.A. de la Cal, J. Sedano. Sistema de ahorro energético utilizando sistemas multi-agente y sistemas borrosos. IEEE Latin America Transaction 6:6 (2009) 0-0 |
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J.R. Villar, A. Otero, J. Otero, L. Sánchez. Taximeter verification using imprecise data from GPS. Engineering Applications of Artificial Intelligence 22 (2009) 250-260 |
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J.R. Villar, E.A. de la Cal, J. Sedano. A Fuzzy Logic Based Efficient Energy Saving Approach for Domestic Heating Systems. Integrated Computer-Aided Engineering 16:2 (2009) 151-163 |
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A. Zafra, C. Romero, S. Ventura, E. Herrera-Viedma. Multi-Instance Genetic Programming For Web Index Recommendation. Expert Systems with Applications 36 (2009) 11470-11479 |
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2008 |
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J.R. Cano, F. Herrera, M. Lozano, S. García. Making CN2-SD Subgroup Discovery Algorithm scalable to Large Size Data Sets using Instance Selection. Expert Systems with Applications 35:4 (2008) 1949-1965 |
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J.R. Cano, S. García, F. Herrera. Subgroup Discovery in Large Size Data Sets Preprocessed Using Stratified Instance Selection for Increasing the Presence of Minority Classes. Pattern Recognition Letters 29 (2008) 2156-2164 |
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I. Couso, L. Sánchez. Higher order models for fuzzy random variables. Fuzzy Sets and Systems 159:3 (2008) 237-258 |
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A. Fernández, 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 |
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S. García, F. Herrera. An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons. Journal of Machine Learning Research 9 (2008) 2677-2694 |
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S. García, J.R. Cano, F. Herrera. A Memetic Algorithm for Evolutionary Prototype Selection: A Scaling Up Approach. Pattern Recognition 41:8 (2008) 2693-2709 |
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C. García-Martínez, M. Lozano, F. Herrera, D. Molina, A.M. Sánchez. Global and Local Real-Coded Genetic Algorithms Based on Parent-Centric Crossover Operators. European Journal of Operational Research 185 (2008) 1088-1113 |
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P.A. Gutiérrez, F. López-Granados, J.M. Peña-Barragán, M. Jurado-Expósito, C. Hervás-Martínez. Logistic regression product-unit neural networks for mapping Ridolfia segetum infestations in sunflower crop using multitemporal remote sensed data. Computers and Electronics in Agriculture 64:2 (2008) 293-306 |
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P.A. Gutiérrez, F. López-Granados, J.M. Peña-Barragán, M. Jurado-Expósito, M.T. Gómez-Casero, C. Hervás-Martínez. Mapping sunflower yield as affected by Ridolfia segetum patches and elevation by applying Evolutionary Product Unit Neural Networks to remote sensed data. Computers and Electronics in Agriculture 60:2 (2008) 122-132 |
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F. Herrera. Genetic Fuzzy Systems: Taxonomy, Current Research Trends and Prospects. Evolutionary Intelligence 1 (2008) 27-46 |
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C. Hervás-Martínez, M. Silva, P.A. Gutiérrez, A. Serrano. Multilogistic regression by evolutionary neural network as a classification tool to discriminate highly overlapping signals: Qualitative investigation of volatile organic compounds in polluted waters. Chemometrics and Intelligent Laboratory Systems 92:2 (2008) 179-185 |
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C. Hervás-Martínez, F.J. Martínez-Estudillo, M. Carbonero. Multilogistic Regression by means of Evolutionary Product-Unit Neural Networks. Neural Networks 21:7 (2008) 951-961 |
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M. Lozano, F. Herrera, J.R. Cano. Replacement Strategies to Preserve Useful Diversity in Steady-State Genetic Algorithms. Information Science 178:23 (2008) 4421-4433 |
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F.J. Martínez-Estudillo, C. Hervás-Martínez, P.A. Gutiérrez, A.C. Martínez-Estudillo. Evolutionary Product-Unit Neural Networks Classifiers. Neurocomputing 72:1-3 (2008) 548-561 |
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A. Orriols-Puig, E. Bernadó-Mansilla. Evolutionary Rule-Based Systems for Imbalanced Datasets. Soft Computing Journal. Special Issue on Evolutionary and Metaheuristic-based Data Mining (EMBDM) 13:3 (2008) 213-225 |
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A. Orriols-Puig, J. Casillas, E. Bernadó-Mansilla. Genetic-Based Machine Learning Systems Are Competitive for Pattern Recognition. Evolutionary Intelligence 1:3 (2008) 209-232 |
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D. Ortiz-Boyer, C. Hervás-Martínez, N. García-Pedrajas. Robust confidence intervals applied to crossover operator for real-coded genetic algorithms. Soft Computing 12:8 (2008) 809-833 |
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J. Otero, L. Sánchez, J. Alcala-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 |
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C. Romero, S. Ventura, E. García. Data mining in course management systems: Moodle case study and tutorial. Computer & Education 51:1 (2008) 368-384 |
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L. Sánchez, J. Otero, I. Couso. Obtaining linguistic fuzzy rule-based regression models from imprecise data with multiobjective genetic algorithms. Soft Computing 13:5 (2008) 467-479 |
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A.M. Sánchez, M. Lozano, C. García-Martínez, D. Molina, F. Herrera. Real-Parameter Crossover Operators with Multiple Descendents: An Experimental Study . International Journal of Intelligent Systems 23:2 (2008) 246-268 |
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L. Sánchez, M.R. Suárez, J.R. Villar, I. Couso. Mutual information-based feature selection and partition design in fuzzy rule-based classifiers from vague data. International Journal of Approximate Reasoning 49 (2008) 607-622 |
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S. Ventura, C. Romero, A. Zafra, J.A. Delgado, C. Hervás-Martínez. JCLEC: A Java Framework for Evolutionary Computing. Soft Computing 12:4 (2008) 381-392 |
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J.R. Villar, L. Sánchez. Obtaining transparent models of chaotic systems with multiobjective simulated annealing algorithms. Information Sciences 178:4 (2008) 970-970 |
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2007 |
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R. Alcalá, J. Alcala-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 |
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R. Alcalá, J. Alcala-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 |
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R. Alcalá, M.J. Gacto, F. Herrera, J. Alcala-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 |
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R. Alcalá, J. Alcala-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 |
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R. Alcalá, J. Alcala-Fdez, F. Herrera, J. Otero. Genetic Learning of Accurate and Compact Fuzzy Rule Based Systems Based on the 2-Tuples Linguistic Representation. International Journal of Approximate Reasoning 44:1 (2007) 45-64 |
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J. Alcala-Fdez, F. Herrera, F.A. Márquez, A. Peregrin. Increasing Fuzzy Rules Cooperation Based On Evolutionary Adaptive Inference Systems. International Journal of Intelligent Systems 22:9 (2007) 1035-1064 |
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J.R. Cano, F. Herrera, M. Lozano. Evolutionary Stratified training set selection for extracting classification rules with trade-off Precision-Interpretability. Data and Knowledge Engineering 60:1 (2007) 90-108 |
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J. Casillas, B. Carse, L. Bull. Fuzzy-XCS: a Michigan genetic fuzzy system. IEEE Transactions on Fuzzy Systems 15:4 (2007) 536-550 |
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J. Casillas, F.J. Martínez-López. Knowledge discovery by genetic fuzzy systems applied to consumer behavior modelling. Romanian Marketing Review 3 (2007) 110-141 |
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M.J. del Jesus, P. González, F. Herrera, M. Mesonero. Evolutionary fuzzy rule induction process for subgroup discovery: a case study in marketing. IEEE Transactions on Fuzzy Systems 15:4 (2007) 578-592 |
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C. Hervás-Martínez, P.A. Gutiérrez, M. Silva, J.M. Serrano. Combining classification and regression approaches for the quantification of highly overlapping capillary electrophoresis peaks by using evolutionary sigmoidal and product unit neural networks. Journal of Chemometrics 21:12 (2007) 567-577 |
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C. Hervás-Martínez, M. Silva. Memetic Algorithm Based Artificial Multiplicative Neural Model Selection for Resolving Multi-Component Mixtures Based On Dynamic Responses. Chemometics and Intelligent Laboratory Systems 85:2 (2007) 232-242 |
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C. Hervás-Martínez, F.J. Martínez-Estudillo. Logistic Regression using covariates obtained by Product Unit Neural Networks models. Pattern Recognition 40:1 (2007) 52-64 |
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C. Hervás-Martínez, R.M. García Jimeno, A.C. Martínez-Estudillo, F.J. Martínez-Estudillo, G. Zurera-Cosano. Improving Microbial Growth Prediction by Product Unit Neural Network. Journal of Food Science 71:2 (2007) 31-38 |
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F.A. Márquez, A. Peregrin, F. Herrera. Cooperative Evolutionary Learning of Fuzzy Rules and Parametric Aggregation Connectors for Mamdani Linguistic Fuzzy Systems. IEEE Transactions on Fuzzy Systems 15:6 (2007) 1162-1178 |
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M. Mucientes, J. Casillas. Quick design of fuzzy controllers with good interpretability in mobile robotics. IEEE Transactions on Fuzzy Systems 15:4 (2007) 636-661 |
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D. Ortiz-Boyer, C. Hervás-Martínez, N. García. Improving crossover operator for real-coded genetic algorithms using virtual parents. Journal of Heuristics 13 (2007) 265-314 |
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A.J. Rivera, I. Rojas, J. Ortega, M.J. del Jesus. A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks. Soft Computing 11:7 (2007) 655-668 |
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C. Romero, S. Ventura. Educational data mining: a survey from 1995 to 2005. Expert Systems with Applications 33:1 (2007) 135-146 |
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L. Sánchez, I. Couso. Advocating the use of Imprecisely Observed Data in Genetic Fuzzy Systems. IEEE Transactions on Fuzzy Systems 15:4 (2007) 551-562 |
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L. Sánchez, J. Otero. Boosting fuzzy rules in classification problems under single-winner inference. International Journal of Intelligent Systems 22:9 (2007) 1021-1035 |
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A. Valero, C. Hervás-Martínez, G. Zurera, R.M. García. Product unit neural network models for predicting the growth limits of Listeria monocytogenes. Food Microbiology 24:5 (2007) 452-464 |
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A. Valero, C. Hervás-Martínez, R.M. García, G. Zurera. Searching for new mathematical growth model approaches for Listeria monocytogenes. Journal of Food Science 72:1 (2007) 16-25 |
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2006 |
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R. Alcalá, J. Alcala-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 |
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J.R. Cano, F. Herrera, M. Lozano. On the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining. Applied Soft Computing 6:3 (2006) 323-332 |
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P.G. Espejo, C. Hervás-Martínez, S. Ventura, C. Romero. Elección de Operadores Lógicos para la Inducción de Conocimiento Comprensible. Revista Iberoamericana de Inteligencia Artificial 10:29 (2006) 19-30 |
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N. García, D. Ortiz-Boyer, C. Hervás-Martínez. An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization. Neural Network 19:4 (2006) 514-528 |
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F. Herrera, M. Lozano, D. Molina. Continuous Scatter Search: An Analysis of the Integration of Some Combination Methods and Improvement Strategies. European Journal of Operational Research 169:2 (2006) 450-476 |
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A.C. Martínez-Estudillo, F.J. Martínez-Estudillo, C. Hervás-Martínez, N. García. Evolutionary Product Unit based Neural Networks for Regression. Neural Networks 19:4 (2006) 477-486 |
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A.C. Martínez-Estudillo, C. Hervás-Martínez, F.J. Martínez-Estudillo, N. García. Hybridation of evolutionary algorithms and local search by means of a clustering method. IEEE Transaction on Systems, Man and Cybernetics, Part. B: Cybernetics 36:3 (2006) 534-546 |
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J. Otero, L. Sánchez. Induction of descriptive fuzzy classifiers with the Logitboost algorithm. Soft Computing 10:9 (2006) 825-835 |
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C. Romero, S. Ventura, E. Gibaja, C. Hervás, F. Romero. Web-Based Adaptive Training Simulator System for Cardiac Life Support. Artificial Intelligence in Medicine 38:1 (2006) 67-78 |
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G. Zurera-Cosano, R.M. García Jimeno, R. Rodriguez-Pérez, C. Hervás-Martínez. Performance of Response Surface model for prediction of Leuconostoc mesenteroides growth parameters under different experimental conditions. Food Control 17 (2006) 429-438 |
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2005 |
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R. Alcalá, J. Casillas, O. Cordón, A. González, F. Herrera. A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems. Engineering Applications of Artificial Intelligence 18:3 (2005) 279-296 |
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E. Bernadó-Mansilla, T.K. Ho. Domain of Competence of XCS Classifier System in Complexity Measurement Space. IEEE Transactions on Evolutionary Computation 9:1 (2005) 82-104 |
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J.R. Cano, F. Herrera, M. Lozano. Stratification for Scaling Up Evolutionary Prototype Selection. Pattern Recognition Letters 26:7 (2005) 953-963 |
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J. Casillas, O. Cordón, I. Fernandez, F. Herrera. Learning cooperative linguistic fuzzy rules using the best-worst ant system algorithm. International Journal of Intelligent Systems 20:4 (2005) 433-452 |
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J. Casillas, O. Cordón, M.J. del Jesus, F. Herrera. Genetic tuning of fuzzy rule deep structures preserving interpretability for linguistic modeling. IEEE Transactions on Fuzzy Systems 13:1 (2005) 13-29 |
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N. García, C. Hervás-Martínez, D. Ortiz-Boyer. Cooperative coevolution of artificial neural network ensembles for pattern classification. IEEE Transactions on Evolutionary Computation 9:3 (2005) 271-302 |
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F. Herrera, M. Lozano, A.M. Sánchez. Hybrid Crossover Operators for Real-Coded Genetic Algorithms: An Experimental Study. Soft Computing 9:4 (2005) 280-298 |
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C. Hervás-Martínez, A.C. Martínez-Estudillo, M. Silva, J.M. Serrano. Improving the Quantification of Highly Overlapping Chromatographic Peaks by Using Product Unit Neural Networks Modeled by an Evolutionary Algorithm. Journal of Chemical Information Model 45:4 (2005) 894-903 |
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C. Hervás-Martínez, D. Ortiz-Boyer. Analyzing the statistical features of CIXL2 crossover offspring. Soft Computing 9:4 (2005) 270-279 |
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D. Ortiz-Boyer, C. Hervás-Martínez, N. García. CIXL2: a crossover operator for evolutionary algorithms based on population features. Journal of Artificial Intelligence Research 24 (2005) 1-48 |
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M. Torres, C. Hervás-Martínez, F. Amador. Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms. Computers and Operations Research 32:10 (2005) 2653-2670 |
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2004 |
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M.G. Arenas, J.G. Castellano, J.J. Merelo, V.M. Rivas. Evolving RBF neural networks for time-series forecasting with EvRBF. Information Sciences 165:3-4 (2004) 207-220 |
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O. Cordón, F. Herrera, F.A. Márquez, A. Peregrin. A Study on the Evolutionary Adaptive Defuzzification Methods in Fuzzy Modelling. International Journal of Hybrid Intelligent Systems 1:1 (2004) 36-48 |
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E.A. de la Cal, L. Sánchez. Supply Estimation Using Coevolutive Genetic Algorithms in the Spanish Electrical Market. Applied Intelligence 21:1 (2004) 7-24 |
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M.J. del Jesus, F. Hoffmann, L. Junco, L. Sánchez. Induction of Fuzzy Rule Based Classifiers with Evolutionary Boosting Algorithms. IEEE Transactions on Fuzzy Systems 12:3 (2004) 296-308 |
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M. Lozano, F. Herrera, N. Krasnogor, D. Molina. Real-Coded Memetic Algorithms with Crossover Hill-Climbing. Evolutionary Computation 12:3 (2004) 273-302 |
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C. Romero, S. Ventura, P. de Bra. Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors. User Modeling and User-Adapted Interaction 14 (2004) 425-464 |
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2003 |
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E. Bernadó-Mansilla, J.M. Garrell. Accuracy-Based Learning Classifier Systems: Models, Analysis and Applications to Classification Tasks. Evolutionary Computation 11:3 (2003) 209-238 |
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J.R. Cano, F. Herrera, M. Lozano. Using Evolutionary Algorithms as Instance Selection for Data Reduction in KDD: An Experimental Study. IEEE Transactions on Evolutionary Computation 7:6 (2003) 561-575 |
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Contributions to Books Chapters
Jump to Year: 2011 2010 2008 2007 2006 2005 2004 2003
2011 |
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A. Fernández, 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, Springer, 2011, 155-184 |
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2010 |
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J. Alcala-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. In:
L.S.L. Wang , T.P. Hong (Eds.) Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technology, IGI Global, 2010, 1-25 |
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I. Couso, L. Sánchez. The Behavioral Meaning of the Median . In:
C. Borgelt, G. González-Rodríguez, W. Trutschnig, M. Lubiano, M. Gil (Eds.) Combining Soft Computing and Statistical Methods in Data Analysis, Springer Berlin / Heidelberg, 2010, 115-122 |
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I. Couso, L. Garrido, S. Montes, L. Sánchez. Expected Pair-Wise Comparison of the Outcomes of a Fuzzy Random Variable. In:
M.A. Gil, P. Grzegorzewski, C. Borgelt, W. Trutschnig, M. Lubiano, G. Rodriguez, O. Hryniewicz (Eds.) Combining Soft Computing and Statistical Methods in Data Analysis, Springer Berlin / Heidelberg, 2010, 105-113 |
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S. García, J.R. Cano, F. Herrera. A Review on Evolutionary Prototype Selection: An Empirical Study of Performance and Efficiency. In:
R. Chiong (Eds.) Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications, IGI Global, 2010, 92-113 |
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E. García, C. Romero, S. Ventura, C. de Catro, T. Calders. Association Rule Mining in Learning Management Systems: Moodle.. In:
C. Romero, S. Ventura, M. Pechenizkiy, R. Baker (Eds.) Handbook of Educational Data Mining, Chapman and Hall/CRC Press, Taylor & Francis Group, 2010, 93-106 |
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N. Macia, T.K. Ho, A. Orriols-Puig, E. Bernadó-Mansilla. The landscape contest at ICPR'10. In:
D. Ünay, S. Aksoy, Z. Çataltepe (Eds.) Proceedings of the ICPR 2010 Contests, LNCS, 2010, 29-45 |
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A. Orriols-Puig, J. Casillas, F.J. Martínez-López. Automatic Discovery of Potential Causal Structures in Marketing Databases by Unsupervised Genetic Fuzzy Systems. In:
J. Casillas, F.J. Martínez-López (Eds.) Marketing Intelligent Systems using Soft Computing, Springer, 2010 accepted |
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I. Robles, R. Alcalá, J.M. Benítez, F. Herrera. On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems. In:
F. Fernández, E. Cantú-Paz (Eds.) Parallel and Distributed Computational Intelligence, Studies in Computational Intelligence 269, Springer-Verlag, Berlin, Heidelberg, 2010, 235-261 |
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C. Romero, S. Ventura, M. Pechenizkiy, R. Baker. Introduction. In:
C. Romero, S. Ventura, M. Pechenizkiy, R. Baker (Eds.) Handbook of Educational Data Mining, Chapman and Hall/CRC Press, Taylor & Francis Group., 2010, 1-8 |
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L. Sánchez, I. Couso. Measurement of ground-neutral currents in three phase transformers using a genetically evolved shaping filter. In:
F. Hoffmann, R. Kruse, E. Hüllermeier (Eds.) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, Springer Berlin / Heidelberg, 2010, 731-740 |
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J. Sedano, J.R. Villar, E. Corchado, L. Curiel, A. Bustillos. A Soft Computing System for Modelling the manufacture of SteelComponents. In:
M. Gestal, D. Rivero (Eds.) Soft Computing Methods for Practical Environmental Solutions: Techniques and Studies, IGI Global, 2010, 127-142 |
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A. Zafra, C. Romero, S. Ventura. Multi-Instance Learning versus Single-Instance Learning for Predicting the Student’s Performance. In:
C. Romero, S. Ventura, M. Pechenizkiy, R. Baker (Eds.) Handbook of Educational Data Mining, CRC Press, 2010, 187-200 |
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2008 |
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R. Alcalá, J. Alcala-Fdez, M.J. Gacto, F. Herrera. On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection. In:
A. Ghosh, S. Dehuri, S. Ghosh (Eds.) Multi-objective Evolutionary Algorithms for Knowledge Discovery from Data Bases 98, Springer, 2008, 91-107 |
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J. Bacardit, E. Bernadó-Mansilla, M.V. Butz. Learning Classifier Systems: Looking Back and Glimpsing Ahead. In:
E. Bernadó-Mansilla, J. Bacardit, T. Kovacs, M.V. Butz, X. Llorà, K. Takadama (Eds.) Learning Classifiers Systems, Springer, 2008, 1-21 |
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L. Bull, E. Bernadó-Mansilla, J. Holmes. Learning Classifier Systems in Data Mining: An Introduction. In:
L. Bull, E. Bernadó-Mansilla, J. Holmes (Eds.) Learning Classifier Systems in Data Mining: Studies in Computational Intelligence, Springer, 2008, 1-16 |
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J. Casillas, F.J. Martínez-López. KDD in Marketing with Genetic Fuzzy Systems. In:
O. Maimon, L. Rokach (Eds.) Soft Computing for Knowledge Discovery and Data Mining, Springer, 2008, 225-239 |
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I. Couso, L. Sánchez. Defuzzification of fuzzy p-values. In:
D. Dubois, M.A. Lubiano, H. Prade, M.A. Gil, P. Grzegorzewski (Eds.) Soft Methods for Handling Variability and Imprecision, Springer, 2008, 126-132 |
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M.J. del Jesus, P. González, F. Herrera. Subgroup discovery with linguistic rules. In:
H. Bustince, F. Herrera, J. Montero (Eds.) Fuzzy sets and their extensions: representation, aggregation and models, Springer, 2008, 411-430 |
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P.A. Gutiérrez, C. Hervás-Martínez, F.J. Martínez-Estudillo, M. Carbonero. Multilogistic Regression by Product Units. In:
J.R. Rabuñal, J. Dorado, A. Pazos (Eds.) Encyclopedia of Artificial Intelligence (ISBN: 978-1-59904-849-9), Information Science Reference, 2008, 1136-1144 |
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N. Macia, E. Bernadó-Mansilla, A. Orriols-Puig. On the dimensions of data complexity through synthetic data sets. In:
J. Vitrià (Eds.) Artificial Intelligence Research and Development, IOS press, 2008, 244-252 |
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S. Morales-Ortigosa, A. Orriols-Puig, E. Bernadó-Mansilla. Can Evolution Strategies Improve Learning Guidance in XCS? Design and Comparison with Genetic Algorithms based XCS. In:
J. Vitrià (Eds.) Artificial Intelligence Research and Development, IOS press, 2008, 253-261 |
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A. Orriols-Puig, J. Casillas, E. Bernadó-Mansilla. A Comparative Study of Several Classifiers in Supervised Learning. In:
L. Bull, E. Bernadó-Mansilla, J. Holmes (Eds.) Learning Classifier Systems in Data Mining, Springer, 2008, 205-230 |
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A. Orriols-Puig, K. Sastry, D.E. Goldberg, E. Bernadó-Mansilla. Substructural Surrogates for Learning Decomposable Classification Problems. In:
E. Bernadó-Mansilla, J. Bacardit, M. Butz (Eds.) Advances at the frontier of LCS, Springer, 2008, 235-254 |
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A. Orriols-Puig, J. Casillas, E. Bernadó-Mansilla. Evolving Fuzzy Rules with UCS: Preliminary Results. In:
E. Bernadó-Mansilla, J. Bacardit, M. Butz (Eds.) Advances at the frontier of LCS, Springer, 2008, 96-116 |
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A. Orriols-Puig, E. Bernadó-Mansilla. Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS. In:
E. Bernadó-Mansilla, J. Bacardit, M. Butz (Eds.) Advances at the frontier of LCS, Springer, 2008, 96-116 |
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A. Orriols-Puig, E. Bernadó-Mansilla. Mining Imbalanced Data with Learning Classifier Systems. In:
L. Bull, E. Bernadó-Mansilla, J. Holmes (Eds.) Learning Classifier Systems in Data Mining, Springer, 2008, 123-145 |
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L. Sánchez, J.R. Villar. Multiobjective evolutionary search of difference equations-based models for understanding chaotic systems. In:
R. Lowen, A. Verschoren (Eds.) Foundations of Generic Optimization., Springer, 2008, 181-201 |
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A. Zafra, S. Ventura. Multiple Instance Learning with MultiObjective Genetic Programming. In:
J. Wang (Eds.) Encyclopedia of Data Warehousing and Mining , Information Science Reference, 2008, 1372-1379 |
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2007 |
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J. Bacardit, J.M. Garrell. Bloat control and generalization pressure using the minimum description length principle for a Pittsburgh approach Learning Classifier System. In:
(Eds.) Advances at the frontier of LCS, Springer, 2007, 61-80 |
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J. Bacardit, M.V. Butz. Data Mining in Learning Classifier Systems: Comparing XCS with GAssist. In:
(Eds.) Advances at the frontier of LCS, Springer, 2007, 290-298 |
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J. Bacardit, D.E. Goldberg, M.V. Butz. Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule. In:
(Eds.) Advances at the frontier of LCS, Springer, 2007, 299-317 |
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A. Orriols-Puig, E. Bernadó-Mansilla. The Class Imbalance Problem in UCS Classifier System: A Preliminary Study. In:
T. Kovacs (Eds.) Advances at the frontier of LCS, Springer, 2007, 164-183 |
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2006 |
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R. Alcalá, J. Alcala-Fdez, M.J. Gacto, F. Herrera. Fuzzy Rule Reduction and Tuning of Fuzzy Logic Controllers for a HVAC System. In:
C. Kahraman (Eds.) Fuzzy Applications in Industrial Engineering. Studies in Fuzziness and Soft Computing, Springer, 2006, 89-118 |
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E. Bernadó-Mansilla, X. Llorà, I. Traus. Multiobjective Learning Classifier Systems. In:
Y. Jin (Eds.) Multiobjective Machine Learning, Springer, 2006, 261-290 |
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E. Bernadó-Mansilla, T.K. Ho, A. Orriols-Puig. Data Complexity and Evolutionary Learning: Classifier's Behavior and Domain of Competence. In:
T.K. Ho, M. Basu (Eds.) Data Complexity, Springer, 2006, 115-134 |
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T.K. Ho, E. Bernadó-Mansilla. Data Complexity and Domains of Competence of Classifiers. In:
T.K. Ho, M. Basu (Eds.) Data Complexity, Springer, 2006, 135-152 |
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C. Romero, S. Ventura, C. Hervás-Martínez, P.G. Espejo. Rule Mining with GBGP to improve web-based adaptive educational systems. In:
C. Romero, S. Ventura (Eds.) Data mining in e-learning. Advances in Management Information Series 4, WitPress, 2006, 171-188 |
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2005 |
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M.J. del Jesus, P. González, F. Herrera, M. Mesonero. Evolutionary Induction of Descriptive Rules in a Market Problem. In:
D. Ruan, G. Chen, E.E. Kerre, G. Wets (Eds.) Intelligent Data Mining. Techniques and Applications, Studies in Computational Intelligence 5, Springer-Verlag, 2005, 267-292 |
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A. Fornells, J. Camps, E. Golobardes, J.M. Garrell. Comparison of Strategies Based on Evolutionary Computation for the Design of Similarity Functions. In:
B. López, J. Meléndez, P. Radeva, J. Vitrià (Eds.) Artificial intelligence research and development 131, IOS Press, 2005, 231-238 |
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2004 |
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J.R. Cano, F. Herrera, M. Lozano. Selección evolutiva estratificada de conjuntos de entrenamiento para la obtención de bases de reglas con un alto equilibrio entre precisión e interpretabilidad. In:
R. Giraldez, J.C. Riquelme, J.S. Aguilar (Eds.) Tendencias de la Minería de Datos en España, Red Española de Minería de Datos y Aprendizaje, TIC2002-11124-E, 2004, 263-274 |
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F. Herrera, C. Hervás-Martínez, J. Otero, L. Sánchez. Un estudio empírico preliminar sobre los test estadísticos más habituales en el aprendizaje automático. In:
R. Giraldez, J.C. Riquelme (Eds.) Tendencias de la Minería de Datos en España, Red Española de Minería de Datos y Aprendizaje, DigitalTres, 2004, 403-412 |
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A. Orriols-Puig, E. Bernadó-Mansilla. Analysis of Reduction Algorithms for XCS Classifier System. In:
J. Vitrià, P. Radera, I. Aguiló (Eds.) Recent Advances in Artificial Intelligence Research and Development, IOS Press, 2004, 383-390 |
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2003 |
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O. Cordón, M.J. del Jesus, F. Herrera, L. Magdalena, A.M. Sánchez. A Multiobjetive Genetic Algorithms for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems. In:
B. Bouchon, L. Foulloy, R.R. Yager (Eds.) Intelligent System for Information Processing: From Representation to Applications, Elsevier, 2003, 315-326 |
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C. Hervás-Martínez, N. García, D. Ortiz-Boyer. Confidence interval based crossover using L1 norm localization estimator for real-coded genetic algorithms. In:
J.M. Benitez, O. Cordon, F. Hoffmann (Eds.) Soft Computing. Engineering Design and Manufacturing, Springer-Verlag, 2003, 297-306 |
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Conference Contributions
Jump to Year:
2012 2011 2010 2009 2008 2007 2006 2005 2004 2003
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2012 |
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A. Cano, J.M. Luna, A. Zafra, S. Ventura. Modelo gravitacional para clasificación. VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB). Albacete (Spain, 2012) 63-70 |
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C.J. Carmona, P. González, M.J. Gacto, M.J. del Jesus. Ajuste genético lateral de las etiquetas lingüísticas en descubrimiento de subgrupos. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF). Valladolid (Spain, 2012) 271-276 |
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F. Chávez, F. Fernández, R. Alcalá, J. Alcala-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 (ESTYLF2012). Valladolid (Spain, 2012) 265-270 |
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J. Derrac, J. Luengo, A. Fernández, S. García, J. Alcala-Fdez. KEEL: Una herramienta docente para sistemas difusos. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF2012). Valladolid (Spain, 2012) 534-539 |
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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, 2012) 211-216 |
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V. López, A. Fernández, 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, 2012) 313-318 |
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V. López, A. Fernández, 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, 2012) 98-107 |
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J.M. Luna, J.L. Olmo, J.R. Romero, S. Ventura. Minería de reglas de asociación poco frecuentes con programación genética. VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2012). Albacete (Spain, 2012) 181-188 |
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A.A. Marquez, F.A. Márquez, A. Peregrin. An Efficient Multiobjective Evolutionary Adaptive Conjunction for High Dimensional Problems in Linguistic fuzzy Modelling. Accepted in IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012). Bresbane (Australia, 2012)
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F.J. Moreno-Velo, A. Barriga, S. Sanchez-Solano, I. Baturone. XFSML: An XML-based Modeling Language for Fuzzy Systems. Accepted in IEEE World Congress on Computational Intelligence (WCCI2012). Brisbane (Australia, 2012)
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J.L. Olmo, J.R. Romero, S. Ventura. Multi-objective Ant Programming for Mining Classification Rules. Proceedings of the 15th European Conference on Genetic Programming (EuroGP). Lecture Notes in Computer Science 7244, Springer Verlag 2012, Malaga (Spain, 2012) 145-156 |
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J.L. Olmo, A. Cano, J.R. Romero, S. Ventura. Programación con Hormigas Multi-Objetivo para la Extracción de Reglas de Clasificación. VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB). Albacete (Spain, 2012) 219-226 |
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A. Palacios, J. Alcala-Fdez. Extracción de reglas de asociación difusas a partir de datos de baja calidad. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF2012). Valladolid (Spain, 2012) 325-330 |
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R. Santano, F.J. Moreno-Velo. XFSML: Un lenguaje de modelado de sistemas difusos basado en XML. XVI Congreso Español Sobre Tecnologías y Lógica Fuzzy (ESTYLF2012). Valladolid (España, 2012) 432-437 |
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C. Serrano, A.A. Marquez, F.A. Márquez, A. Peregrin. Un operador de conjunción adaptativo para modelado difuso lingüístico de problemas de alta dimensionalidad. XVI Congreso Español sobre Tecnologías y Lógica Difusa 2012 (ESTYLF 2012). Valladolid (Spain, 2012) 307-312 |
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2011 |
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E. Barrenechea, A. Fernández, 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, 2011) 243-255 |
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F. BARROSO, J. GOMEZ, M.A. Rodriguez, A. Peregrin. Optimización Evolutiva de la Locomoción de un Robot Bípedo. IV Congreso Internacional de Diseño, Redes de Investigación y Tecnología para todos (DRT4ALL). MADRID (SPAIN, 2011) 46-61 |
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A. Berzosa, J.R. Villar, J. Sedano, M. García-Tamargo. Tree generation methods comparison in GAP problems with Low Quality Data. International Workshop on Soft Computing Models in Industrial Applications, Advances in Soft Computing (73/2010 Springer) (SOCO 2011). Lecture Notes in Computer Science 87, Springer 2011, (, 2011) 85-93 |
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A. Berzosa, J.R. Villar, J. Sedano, M. García-Tamargo, E.A. de la Cal. An Study of the Tree Generation Algorithms in Equation Based Model Learning with Low Quality Data. International Conference on Hybrid Artificial Intelligent Systems 2011 (HAIS 2011). Lecture Notes in Computer Science 6679, Springer 2011, (, 2011) 84-91 |
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A. Cano, J.M. Luna, J.L. Olmo, S. Ventura. JCLEC Meets WEKA!. 6th International Conference on Hybrid Artificial Intelligence Systems (HAIS2011). Wroclaw (Poland, 2011) 388-395 |
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A. Cano, A. Zafra, S. Ventura. An EP algorithm for learning highly interpretable classifiers. International Conference on Intelligent Systems Design and Applications (ISDA). Cordoba (Spain, 2011) 325-330 |
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A. Cano, A. Zafra, S. Ventura. A Parallel Genetic Programming Algorithm for Classification. 6th International Conference on Hybrid Artificial Intelligence Systems (HAIS2011). Lecture Notes in Computer Science 6678, Springer-Verlag 2011, Wroclaw (Poland, 2011) 172-181 |
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C.J. Carmona, P. González, M.J. del Jesus, S. Ventura. Subgroup discovery in an e-learning usage study based on Moodle. International Conference on EUropean Transnational Education (ICEUTE). Salamanca (Spain, 2011) 26-31 |
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C.J. Carmona. Descubrimiento de subgrupos mediante sistemas difusos evolutivos. II Jornadas Andaluzas de Informática (JAI). Canillas de Aceituno (Spain, 2011) 1-6 |
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C.J. Carmona, P. González, M.J. del Jesus, F. Herrera. Analysis of the Impact of Using Different Diversity Functions for the Subgroup Discovery Algorithm NMEEF-SD. 5th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS). Paris (France, 2011) 17-23 |
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A. Castaño, F. Fernández-Navarro, P.A. Gutiérrez, M. Baena-García, C. Hervás-Martínez. Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods for Classification. 2011 International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO11). Salamanca (Spain, 2011) 263-270 |
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F. Charte, A.J. Rivera, M.J. del Jesus, F. Herrera. Improving Multi-label Classifiers via Label Reduction with Association Rules. Hybrid Artificial Intelligent Systems (HAIS). Lecture Notes in Computer Science 7209, Springer-Verlag 2011, Wroclaw (Poland, 2011) 188-199 |
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F. Chávez, F. Fernández, R. Alcalá, J. Alcala-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, 2011) 256-263 |
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M. Cruz-Ramírez, C. Hervás-Martínez, P.A. Gutiérrez, M. de la Mata. Memetic Pareto Differential Evolutionary Neural Network for Donor-Recipient Matching in Liver Transplantation. International Work conference on Artificial Neural Networks (IWANN2011). Malaga (Spain, 2011) 129-136 |
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M. Cruz-Ramírez, J.C. Fernández, F. Fernández-Navarro, J. Sánchez-Monedero, C. Hervás-Martínez. Selecting the best Artificial Neural Network model from a Multi-Objective Differential Evolution Pareto front. IEEE Symposium on Diferential Evolution (IEEE Symposium Series on Computational Intelligence) (SDE (SSCI)). Paris (France, 2011) 96-103 |
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M. Cruz-Ramírez, J.C. Fernández, F. Fernández-Navarro, J. Briceño, M. de la Mata, C. Hervás-Martínez. Memetic Evolutionary Multi-Objective Neural Network Classifier to Predict Graft Survival in Liver Transplant Patients. 13th annual conference companion on Genetic and evolutionary computation (GECCO2011). Dublin (Ireland, 2011) 0-0 |
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M. Cruz-Ramírez, C. Hervás-Martínez, J. Sánchez-Monedero, P.A. Gutiérrez. A Preliminary Study of Ordinal Metrics to Guide a Multi-ObjectiveEvolutionary Algorithm. 11th International Conference on Intelligent Systems Design andApplications (ISDA2011). Córdoba (Spain, 2011) 1176-1181 |
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J. Derrac, J. Luengo, A. Fernández, S. García, J. Alcala-Fdez. 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, 2011) 55-60 |
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J. Derrac, C. Cornelis, S. García, F. Herrera. A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms. 11th International Work-Conference on Artificial Neural Networks (IWANN11). Lecture Notes in Computer Science 6691, 2011, Torremolinos (Spain, 2011) 174-182 |
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A. Fernández, S. García, F. Herrera. Addressing the Classification with Imbalanced Data: Open Problems and New Challenges on Class Distribution. 6th International Conference on Hybrid Artificial Intelligence Systems (HAIS2011). Wroclaw (Poland, 2011) 1-10 |
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M.J. Gacto, R. Alcalá, F. Herrera. Evolutionary Multi-Objective Algorithm to Effectively Improve the Performance of the Classic Tuning of Fuzzy Logic Controllers for a Heating, Ventilating and Air Conditioning System. Accepted in 5th International Workshop On Genetic And Evolutionary Fuzzy Systems (GEFS 2011). Paris (France, 2011)
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P.A. Gutiérrez, C. Hervás-Martínez. Hybrid Artificial Neural Networks: Models, Algorithms and Data. International Work conference on Artificial Neural Networks (IWANN2011). Malaga (Spain, 2011) 177-184 |
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P.A. Gutiérrez, S. Salcedo-Sanz, C. Hervás-Martínez, L. Carro-Calvo, J. Sánchez-Monedero, L. Prieto. Evaluating nominal and ordinal classifiers for wind speed prediction fromsynoptic pressure patterns. 11th International Conference on Intelligent Systems Design andApplications (ISDA2011). Córdoba (Spain, 2011) 1265-1270 |
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P.A. Gutiérrez, M. Baena-García, R. Morales-Bueno, C. Hervás-Martínez. Permanent Disability Classification using Hybrid Neuro-Logistic Regression Models. IEEE Workshop on Hybrid Intelligent Models and Applications (IEEE Symposium Series on Computational Intelligence) (HIMA (SSCI)). Paris (France, 2011) 46-53 |
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J.M. Luna, J.R. Romero, S. Ventura. Mining and Representing Rare Association Rules through the Use of Genetic Programming. Proceedings of the 3rd World Congress on Nature and Biologically Inspired Computing, NaBIC 2011 (). Salamanca (Spain, 2011) 86-91 |
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C. Marquez-Vera, C. Romero, S. Ventura. Predicting School Failure Using Data Mining. International Conference on Educational Data Mining (). (, 2011) 271-275 |
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D. Martin, A. Rosete, J. Alcala-Fdez, F. Herrera. A Multi-Objective Evolutionary Algorithm for Mining Quantitative Association Rules. 11th International Conference on Intelligent Systems Design and Applications (ISDA2011). Córdoba (Spain, 2011) 1397-1402 |
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F. Martínez-delRio, M.D. Pérez-Godoy, M.P. Frías-Bustamante, A.J. Rivera. Simulation of fluids propagation by parallel distributed cellular automata. Jornadas Andaluzas de Informática (JAI). Canillas de Aceituno (Spain, 2011) 1-5 |
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J.L. Olmo, J.M. Luna, J.R. Romero, S. Ventura. Association rule mining using a multi-objective grammar-based ant programming algorithm. 11th International Conference on Intelligent Systems Design and Applications (ISDA). Cordoba (Spain, 2011) 971-977 |
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R. Pedraza, C. Romero, S. Ventura. A Java desktop tool for mining Moodle data. A Java desktop tool for mining Moodle data (). Eindhoven (, 2011) 319-320 |
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M. Pérez-Ortiz, P.A. Gutiérrez, C. García-Alonso, L.S. Carulla, J.A. Pérez, C. Hervás-Martínez. Ordinal classification of depression spatial hot-spots of prevalence. 11th International Conference on Intelligent Systems Design andApplications (ISDA2011). Córdoba (Spain, 2011) 1170-1175 |
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L. Puigpinos, J.R. Villar, J. Sedano, E. Corchado, J. de Ciurana. Steel Sheet Incremental Cold Shaping improvements using Hybridized Genetic Algorithms with Support Vector Machines and Neural Networks. Fifth International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO 2011). Lecture Notes in Computer Science 387, Springer 2011, (, 2011) 323-332 |
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M.D. Redel-Macías, F. Fernández-Navarro, A. Cubero-Atienza, C. Hervás-Martínez. Identification of sound for Pass-by Noise test in vehicles using Generalized Gaussian Radial Basis Function Neural Networks. Accepted in 15th Online World Conference on Soft Computing in Industrial Applications (WSC15). Online (Online, 2011)
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M.D. Redel-Macías, P.A. Gutiérrez, A. Cubero-Atienza, C. Hervás-Martínez. Sound source identification in vehicles using a combined Linear-Evolutionary Product Unit Neural Network model. 2011 International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO11). Salamanca (Spain, 2011) 379-386 |
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A.J. Rivera, M.D. Pérez-Godoy, M.J. del Jesus, P. Pérez-Recuerda, M.P. Frías, M. Parras. A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price. Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA). Lecture Notes in Computer Science 7023, Springer-Verlag 2011, San Cristóbal de La Laguna (Spain, 2011) 263-272 |
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A.J. Rivera, F. Charte, M.D. Pérez-Godoy, M.J. del Jesus. Multi-label testing for CO2RBFN. A first approach to the problem transformation methodology for multi-label classification. Accepted in International Work-Conference on Artificial and Natural Neural Networks (IWANN). Malaga (Spain, 2011)
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A.J. Rivera, F. Charte, M.D. Pérez-Godoy, M.J. del Jesus. Multi-label Testing for CO2RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification. International Work Conference on Artificial Neural Networks (IWANN). Lecture Notes in Computer Science 6691, 2011, Torremolinos (Spain, 2011) 41-48 |
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J.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 (ISDA2011). Córdoba (Spain, 2011) 1229-1234 |
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J. Sánchez-Monedero, M. Carbonero, D. Becerra-Alonso, F.J. Martínez-Estudillo, P.A. Gutiérrez, C. Hervás-Martínez. Numerical variable reconstruction from ordinal categories based onprobability distributions. 11th International Conference on Intelligent Systems Design andApplications (ISDA2011). Córdoba (Spain, 2011) 1182-1187 |
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J. Sanz, A. Fernández, 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). Taipei (Taiwan, 2011) 1247-1254 |
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J. Sanz, A. Fernández, 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). París (France, 2011) 9-15 |
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I. Triguero, S. García, F. Herrera. Enhancing IPADE algorithm with a different individual codification. Accepted in Hybrid Artificial Intelligence Systems (HAIS). Wroclaw (Poland, 2011)
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J.R. Villar, J. Sedano, E. Corchado, V. Vera, B. Hernando, R. Redondo. Intelligent operating conditions design by means of bio-inspired models. Nature & Biologically Inspired Computing (NABIC 2011). (, 2011) 608-613 |
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P. Villar, A. Fernández, 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). Taipei (Taiwan, 2011) 1239-1246 |
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J.R. Villar, J. Sedano, E. Corchado, L. Puigpinos. Soft Computing Decision Support for a Steel Sheet Incremental Cold Shaping Process. INTERNATIONAL CONFERENCE INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING (IDEAL 2011). Lecture Notes in Computer Science 6936, Springer 2011, (, 2011) 482-489 |
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2010 |
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J. Alcala-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). Asturias (Spain, 2010) 33-38 |
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J. Alcala-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, 2010) 249-254 |
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J.L. Ávila, E.L. Gibaja, S. Ventura. Evolving Multi-label Classification Rules with Gene Expression Programming: A Preliminary Study . Hybrid Artificial Intelligence Systems (HAIS). Lecture Notes in Computer Science 6077, 2010, San Sebastián (Spain, 2010) 9-16 |
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A. Berzosa, J.R. Villar, J. Sedano, M. García-Tamargo, E. Corchado. Improving enterprise resource planning results using knowledge extraction and learning. Second World Congress on Nature and Biologically Inspired Computing (NaBIC2010). Kitakyushu (Japan, 2010) 0-0 |
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A. Berzosa, J. Sedano, J.R. Villar, E. Corchado, E.A. de la Cal. Integrating Manufacturing Execution and Business Management systems with soft computing. 10th International Conference on Computational and Mathematical Methods in Science and Engineering 2010 (CMMSE 2010). Almeria (Spain, 2010) 0-0 |
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S. Cala-Cordero, F. Moreno-Velo. Xfhl: A Tool for the Induction of Hierarchical Fuzzy Systems. 2010 IEEE World Congress on Computational Intelligence (WCCI2010). Barcelona (Spain, 2010) 3315-3320 |
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S. Cala-Cordero, F. Moreno-Velo. XFHL: Una Herramienta de Inducción de Sistemas Difusos Jerárquicos. XV Congreso Español Sobre Tecnologías y Lógica Fuzzy (ESTYLF2010). Punta Umbría (Spain, 2010) 423-428 |
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A. Cano, A. Zafra, S. Ventura. Speeding Up Evolutionary Learning Algorithms using GPUs. 15th Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF2010). Huelva (Spain, 2010) 229-234 |
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A. Cano, A. Zafra, S. Ventura. Solving Classification Problems Using Genetic Programming Algorithms on GPUs . 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS2010). Springer-Verlag. San Sebastián (Spain, 2010) 17-26 |
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C.J. Carmona, P. González, M.J. del Jesus, C. Romero, S. Ventura. Evolutionary algorithms for subgroup discovery applied to e-learning data. IEEE EDUCON Education Engineering 2010 (IEEE EDUCON 2010). Madrid (Spain, 2010) 257-257 |
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F. Chávez, F. Fernández, R. Alcalá, J. Alcala-Fdez, F. Herrera. Ajuste Evolutivo de un Sistema de Control de Entorno para Personas con Discapacidad utilizando Sistemas Difusos. Accepted in VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2010). Valencia (España, 2010)
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F. Chávez, F. Fernández, J. Alcala-Fdez, R. Alcalá, F. Herrera, G. Olague. Genetic Tuning of a Laser Pointer Environment Control Device System for Handicapped People with Fuzzy Systems. Accepted in Proceedings of the 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2010). Barcelona (Spain, 2010)
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M. Cruz-Ramírez, J.C. Fernández, J. Sáchez-Monedero, F. Fernández-Navarro, C. Hervás-Martínez, P.A. Gutiérrez, M.T. Lamata. Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers. 10th International Conference on Intelligent Systems Design and Applications (ISDA2010). El Cairo (Egypt, 2010) 513-518 |
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M. Cruz-Ramírez, J. Sánchez-Monedero, F. Fernández-Navarro, J.C. Fernández, C. Hervás-Martínez. Hybrid Pareto Differential Evolutionary Artificial Neural Networks to determined growth multi-classes in Predictive Microbiology. 23rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE2010). Córdoba (Spain, 2010) 646-655 |
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M. Cruz-Ramírez, C. Hervás-Martínez, M.T. Lamata. Estudio de un Modelo de Ensemble formado por los Extremos del Frente de Pareto en Algoritmos Evolutivos Multi-objetivo Utilizando la Técnica TOPSIS. VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB2010). Valencia (Spain, 2010) 219-226 |
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M. Cruz-Ramírez, C. Hervás-Martínez, J.C. Fernández, J. Sánchez-Monedero. Learning Artificial Neural Networks Multiclassifiers by Evolutionary Multiobjective Differential Evolution Guided by Statistical Distributions. International Joint Conference on Neural Networks (IJCNN2010). Barcelona (Spain, 2010) 2540-2547 |
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E.A. de la Cal, E.M. Fernández, R. Quiroga, J.R. Villar, J. Sedano. Scalability of a methodology for generating technical trading rules with GAPs based on Risk-Return adjustment and incremental training. International Conference on Hybrid Artificial Intelligent Systems 2010; Lecture Notes in Computer Science (6077/2010 Springer) (HAIS 10). San Sebastián (Spain, 2010) 143-150 |
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E.A. de la Cal, E.M. Fernández, R. Quiroga, J.R. Villar, J. Sedano. Scalability of a Methodology for Generating Technical Trading Rules with GAPs Based on Risk-Return Adjustment and Incremental Training. Hybrid Artificial Intelligent Systems (HAIS 10). Lecture Notes in Computer Science 6077, Springer 2010, (, 2010) 143-150 |
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J. Derrac, S. García, F. Herrera. IFS-CoCo in the Landscape Contest: Description and results. Twentieth conference of the International Association for Pattern Recognition (ICPR'2010). Springer. Estambul (Turkey, 2010) 56-65 |
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J. Derrac, I. Triguero, S. García, F. Herrera. Coevolución de selección de instancias y esquemas de pesos para clasificadores basados en la regla del vecino más cercano. VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2010). Valencia (Spain, 2010) 481-488 |
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J. Derrac, A. Fernández, J. Luengo, S. García, L. Sánchez, J. Alcala-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, 2010) 417-422 |
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A. Fernández, 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 (LNAI) (IPMU2010). Lecture Notes in Computer Science 6178, 2010, Dortmund (Germany, 2010) 89-98 |
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A. Fernández, 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, 2010) 97-102 |
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A. Fernández, M.J. del Jesus, F. Herrera. Analysing the Hierarchical Fuzzy Rule Based Classification Systems with Genetic Rule Selection. 4th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS2010). Mieres (Spain, 2010) 69-74 |
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F. Fernández-Navarro, C. Hervás-Martínez, P.A. Gutiérrez, M. Cruz-Ramírez, M. Carbonero-Ruz. Evolutionary q-Gaussian Radial Basis Functions for Binary-Classification. 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS2010). San Sebastián (Spain, 2010) 280-287 |
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F. Fernández-Navarro, C. Hervás-Martínez, P.A. Gutiérrez, R. Ruiz, J.C. Riquelme. Evolutionary q-Gaussian Radial Basis Functions for improving prediction accuracy of gene classification using feature selection. 20th International Conference on Artificial Neural Networks (ICANN10). Thessaloniki (Greece, 2010) 327-336 |
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F. Fernández-Navarro, C. Hervás-Martínez, P.A. Gutiérrez, M. Cruz-Ramírez, J. Sánchez-Monedero. Aprendizaje híbrido de redes neuronales q-Gaussianas en clasificación binaria. VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB2010). Valencia (Spain, 2010) 227-234 |
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M.J. Gacto, R. Alcalá, F. Herrera. Indice de Interpretabilidad Semántica para el Ajuste de Sistemas Basados en Reglas Difusas y Selección de Reglas Mediante un Algoritmo Evolutivo Multi-Objetivo. Proceedings of the XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010). Huelva (Spain, 2010) 73-78 |
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M.J. Gacto, R. Alcalá, F. Herrera. Analysis of the Performance of a Semantic Interpretability-Based Tuning and Rule Selection of Fuzzy Rule-Based Systems by Means of a Multi-Objective Evolutionary Algorithm. Accepted in Twenty Third International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2010). Córdoba (Spain, 2010)
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M. Galar, J.A. Sáez, J. Luengo, F. Herrera. Influencia del Ruido en Sistemas de Clasificación con Múltiples Clases: Análisis sobre la estrategia Uno-contra-Uno. Accepted in Congreso Español de Informática 2010 (TAMIDA 2010). Valencia (Spain, 2010)
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S. García, J. Derrac, F. Herrera. Un Tutorial Metodológico para hacer Comparaciones Estadísticas con Tests No Paramétricos en Propuestas de Minería de Datos. V Simposio de Teoría y Aplicaciones de Minería de Datos (TAMIDA 2010). Valencia (Spain, 2010) 155-164 |
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S. García, J. Derrac, I. Triguero, C. Carmona, F. Herrera. A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification. Twenty Third International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2010). Cordoba (Spain, 2010) 601-610 |
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A. Garcia-Piquer, A. Fornells, E. Golobardes, A. Orriols-Puig, L. Cugota. Análisis de titulaciones universitarias basadas en competencias mediante una técnica de clustering evolutiva multiobjetivo. Accepted in Talleres de Minería de Datos y Aprendizaje (TAMIDA). Valencia (Spain, 2010)
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E.L. Gibaja, M. Victoriano, J.L. Ávila, S. Ventura. A TDIDT Technique for Multi-Label Classification. Thenth International Conference on Intelligent Systems Design and Applications (ISDA 2010). El Cairo (Egypt, 2010) 519-524 |
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P.A. Gutiérrez, S. Salcedo-Sanz, M.J. Segovia-Vargas, A. Sanchis, J.A. Portilla-Figueras, F. Fernández-Navarro, C. Hervás-Martínez. Generalized logistic regression models using neural network basis functions applied to the detection of banking crises. 23rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE2010). Córdoba (Spain, 2010) 1-10 |
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C. Hervás-Martínez, P.A. Gutiérrez, S. Salcedo-Sanz, E. Ortiz-García, A. Portilla-Figueras, L. Prieto. Predicción a Corto Plazo de la Velocidad del Viento en Parques Eólicos Mediante Redes Evolutivas de Unidades Producto. VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB2010). Valencia (Spain, 2010) 235-242 |
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P.L. López, A.J. Rivera, C.J. Carmona, M.D. Pérez-Godoy. Mejoras en el Diseño Multiobjetivo de Redes de Función de Base Radial. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF'10). Huelva (Spain, 2010) 441-446 |
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V. López, A. Fernández, 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, 2010) 676-681 |
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V. López, A. Fernández, 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 Simposio sobre Lógica Fuzzy y Soft Computing (LFSC2010 (EUSFLAT)). Valencia (Spain, 2010) 459-466 |
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J. Luengo, F. Herrera. Determinando Automáticamente los Dominios de Competencia de un Sistema de Clasificación Basado en Reglas Difusas: Un Caso de Estudio con FH-GBML. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010). Huelva (Spain, 2010) 235-240 |
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J. Luengo, F. Herrera. Obtención de los dominios de competencia de C4.5 por medio de medidas de separabilidad de clases. Accepted in Congreso Español de Informática 2010 (TTIA 2010). Valencia (Spain, 2010)
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J. Luengo, F. Herrera. Determinando Automáticamente los Dominios de Competencia de un Sistema de Clasificación Basado en Reglas Difusas: Un Caso de Estudio con FH-GBML. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010). Huelva (Spain, 2010) 235-240 |
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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. Accepted in 2010 World Congress on Computational Intelligence (WCCI 2010). Barcelona (Spain, 2010)
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J.M. Luna, J.L. Olmo, J.R. Romero, S. Ventura. Minería de reglas de asociación con programación genética gramatical. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010). Huelva (Spain, 2010) 241-248 |
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J.M. Luna, J.R. Romero, S. Ventura. Analysis of the Effectiveness of G3PARM Algorithm. Fifth International Conference on Hybrid Artificial Intelligence Systems (HAIS10). Lecture Notes in Computer Science 6077, 2010, San Sebastián (Spain, 2010) 27-34 |
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J.M. Luna, J.R. Romero, S. Ventura. G3PARM: A Grammar Guided Genetic Programming Algorithm for Mining Association Rules. Accepted in IEEE Congress on Evolutionary Computation (IEEE CEC). Barcelona (Spain, 2010)
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J.M. Luna, J.R. Romero, S. Ventura. An Intruder Detection Approach Based on Infrequent rating Pattern Mining. 10th International Conference on Intelligent Systems Design and Applications (ISDA’10) (). (, 2010) 682-688 |
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N. Macia, A. Orriols-Puig, E. Bernadó-Mansilla. In search of targeted-complexity problems. Genetic and Evolutionary Computation Conference (GECCO10). Portland OR (USA, 2010) 1055-1062 |
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A.A. Marquez, F.A. Márquez, A. Peregrin. Introduccion de un Mecanismo para la Mejora de la Interpretabilidad en Sistemas Difusos Lingüísticos con Defuzzificación Adaptativa. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010). Huelva (Spain, 2010) 85-90 |
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A.A. Marquez, F.A. Márquez, A. Peregrin. A Multi-objective Evolutionary Algorithm with an Interpretability Improvement Mechanism for Linguistic Fuzzy Systems with Adaptive Defuzzification. 2010 IEEE World Congress on Computational Intelligence (WCCI 2010 - FUZZ-IEEE 2010). Barcelona (Spain, 2010) 277-283 |
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P. Martín-Muñoz, F. Moreno-Velo. FUZZYCN2: Un Algoritmo de Extracción de Listas de Reglas Difusas. XV Congreso Español Sobre Tecnologías y Lógica Fuzzy (ESTYLF2010). Punta Umbria (Spain, 2010) 121-126 |
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P. Martín-Muñoz, F. Moreno-Velo. FuzzyCN2: An Algorithm for Extracting Fuzzy Classification Rule List. 2010 IEEE World Congress on Computational Intelligence (WCCI2010). Barcelona (Spain, 2010) 1783-1789 |
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J.G. Moreno-Torres, X. Llorà, D.E. Goldberg, A. Bhargava. On the Homogenization of Data from Two Laboratories using Genetic Programming. GECCO 2009 (). Lecture Notes in Computer Science 6471, 2010, (, 2010) 185-197 |
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J.L. Olmo, J.R. Romero, S. Ventura. A Grammar Based Ant Programming Algorithm for Mining Classification Rules. Accepted in IEEE World Congress on Evolutionary Computation (IEEE CEC 2010). Barcelona (Spain, 2010)
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J.L. Olmo, J.M. Luna, J.R. Romero, S. Ventura. An Automatic Programming ACO-Based Algorithm for Classification Rule Mining. Eighth International Conference on Practical Applications of Agents and Multiagent Systems (PAAMS 2010). Salamanca (Spain, 2010) 649-656 |
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J.L. Olmo, J.M. Luna, J.R. Romero, S. Ventura. Minería de Reglas de Clasificación mediante un Algoritmo de Programación Automática con Hormigas. Accepted in VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2010). Valencia (Spain, 2010)
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A. Orriols-Puig, X. Llorà, D. Goldberg. How XCS Deals with Rarities in Domains with Continuous Attributes . Accepted in Genetic and Evolutionary Computation Conference (GECCO'10). (, 2010)
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A. Orriols-Puig, F.J. Martínez-López, J. Casillas, N. Lee. A Soft-Computing-Based Method For Automatic Discovering of Fuzzy Rules in Databases: Uses for Academic Research and Management Support in Marketing. Global Marketing Conference (). Tokyo (Japan, 2010) 1-8 |
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J. Otero. Nuevos disenos experimentales para algoritmos de extraccion de conocimiento con datos de baja calidad. XV Congreso Español Sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010). Punta Humbría (Spain, 2010) 507-512 |
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J. Otero, L. Sánchez, I. Couso. Comparación estadística de algoritmos de aprendiza je estocásticos usando tests extendidos a datos intervalo-valorados y borrosos. III Simposio sobre Logica Fuzzy y Soft Computing (LFSC). Valencia (Spain, 2010) 427-434 |
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A. Palacios, L. Sánchez, I. Couso. Influencia de un aprendizaje basado en costes lingüísticos a partir de datos de baja calidad y no balanceados respecto al preprocesamiento de balanceado de los datos. III Simposio sobre Lógica Fuzzy y Soft Computing (LFSC 2010). Valencia (Spain, 2010) 435-442 |
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A. Palacios, L. Sánchez, I. Couso. In􏰄uencia de un aprendiza je basado en costes lingüísticos a partir de datos de ba ja calidad y no balanceados respecto al preprocesamiento de balanceado de los datos. Accepted in III SImposio sobre Logica Fuzzy y Soft Computing (LFSC). (, 2010)
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A. Palacios. Extracción de conocimiento a partir de reglas difusas ponderadas que soportan datos imprecisos. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF2010). Punta Umbría (Spain, 2010) 484-494 |
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A. Palacios, L. Sánchez, I. Couso. Preprocessing vague imbalanced datasets and its use in genetic fuzzy classifiers. IEEE World Congress on Computational Intelligence (FUZZ-IEEE 2010). Barcelona (Spain, 2010) 1-8 |
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M.D. Pérez-Godoy, A. Fernández, A.J. Rivera, M.J. del Jesus. CO2RBFN frente a otros métodos de diseño de RNAs en problemas de clasificación no balanceada. III Simposio de Inteligencia Computacional, Congreso Español de Informática, (SICO-CEDI). Valencia (España, 2010) 35-42 |
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M.D. Pérez-Godoy, P. Pérez, A.J. Rivera, M.J. del Jesus. CO2RBFN: predicción de series temporales con un enfoque cooperativo-competitivo. CONGRESO ESPAÑOL DE INFORMÁTICA (CEDI). Valencia (España, 2010) 265-272 |
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M.D. Pérez-Godoy, P. Pérez., A.J. Rivera, M.J. del Jesus, M.P. Frías, M. Parras. Intelligent Systems in long-term forecasting of the extra-virgin olive oil price in the Spanish market. The Twenty Third International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE 2010). Cordoba (Spain, 2010) 205-215 |
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M.D. Pérez-Godoy, A.J. Rivera, C.J. Carmona, M.J. del Jesus. A Preliminary Study on Mutation Operators in Cooperative Competitive Algorithms for RBFN Design . IEEE World Congress on Computational Intelligence (IEEE WCCI). Barcelona (España, 2010) 349-355 |
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M.D. Pérez-Godoy, P. Pérez., M.P. Frías, A.J. Rivera, C.J. Carmona, M. Parras. CO2RBFN for short and medium term forecasting of the extra-virgin olive oil price. International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO2010). Granada (Spain, 2010) 113-125 |
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R. Riego, J. Otero, J. Ranilla. A Low Cost Virtual 3D Human Interface Device using an Optical Flow Algorithm and GPUs. Computational and Mathematical Methods in Science and Engineering 2010 (CMMSE 2010). Almería (Spain, 2010) 443-449 |
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C. Romero, J.R. Romero, J.M. Luna, S. Ventura. Mining Rare Association Rules from e-Learning Data. International Conference on Educational Data Mining (). Pittsburgh (USA, 2010) 171-180 |
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C. Romero, S. Ventura, E. Vasilyeva, M. Pechenizkiy. Using Class Association Rules over Students’ Test Data. International Conference on Educational Data Mining (). Pittsburgh (USA, 2010) 317-317 |
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J. Sáchez-Monedero, C. Hervás-Martínez, F.J. Martínez-Estudillo, M. Carbonero-Ruz, M.C. Ramírez-Moreno, M. Cruz-Ramírez. Evolutionary Learning using a Sensitivity-Accuracy Approach for Classification. 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS2010). San Sebastián (Spain, 2010) 288-295 |
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J.A. Sáez, J. Luengo, F. Herrera. Análisis del impacto del ruido en clases y atributos para Sistemas de Clasificación Basados en Reglas Difusas. Accepted in Congreso Español de Informática 2010 (LCSC 2010). Valencia (Spain, 2010)
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J.A. Sáez, J. Luengo, F. Herrera. A First Study on the Noise Impact in Classes for Fuzzy Rule Based Classification Systems. 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering (ISKE2010). Hangzhou (China, 2010) 153-158 |
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L. Sánchez. A coevolutionary genetic algorithm able to learn a FRBS and detect the less informative instances in low quality problems. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010). Punta Umbría (Spain, 2010) 483-488 |
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L. Sánchez, I. Couso. Measurement of ground-neutral currents in three phase transformers using a genetically evolved shaping filter . Accepted in International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2010). Dortmund (Germany, 2010)
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L. Sánchez, J. Otero, I. Couso. AE-CS: Una herramienta para el análisis exploratorio gráfico de los resultados de los cuestionarios de seguimiento de los estudiantes. XVI Jornadas de Enseñanza Universitaria de la Informática (JENUI). Santiago de Compostela (Spain, 2010) 9-16 |
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L. Sánchez, O. Cordón, A. Quirin, K. Trawinski. Introducing a Genetic Fuzzy Linguistic Combination Method for Bagging Fuzzy Rule-Based Multiclassification. 4th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2010 ). Mieres (Spain, 2010) 75-80 |
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L. Sánchez, I. Couso, J. Otero. Graphical exploratory analysis of educational knowledge surveys with missing and conflicting answers using evolutionary techniques. Hybrid Artificial Intelligence Systems (LNAI). Lecture Notes in Computer Science 6077, Springer Berlin / Heidelberg 2010, San Sebastian (Spain, 2010) 45-52 |
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J. Sánchez-Monedero, M. Cruz-Ramírez, F. Fernández-Navarro, J.C. Fernández, P.A. Gutiérrez, C. Hervás-Martínez. On the suitability of Extreme Learning Machine for gene classification using feature selection. 10th International Conference on Intelligent Systems Design and Applications (ISDA2010). El Cairo (Egypt, 2010) 507-512 |
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J. Sánchez-Monedero, P.A. Gutiérrez, C. Hervás-Martínez, M. Cruz-Ramírez, J.C. Fernández, F. Fernández-Navarro. Methodology for the recognition and diagnosis of students performance by discriminant analisys and artificial neural networks. 1st International Conference on EUropean Transnational Education (ICEUTE2010). Burgos (Spain, 2010) 111-119 |
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J. Sanz, A. Fernández, H. Bustince, F. Herrera. A Genetic Algorithm for Tuning Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets. 2010 IEEE World Congress on Computational Intelligence (WCCI2010). Barcelona (Spain, 2010) 199-206 |
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J. Sanz, A. Fernández, 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, 2010) 115-120 |
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J. Sedano, J.R. Villar, L. Curiel, E.A. de la Cal, E. Corchado. Modelling of Heat Flux in Building using Soft Computing. 23rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE 2010). Córdoba (Spain, 2010) 0-0 |
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R.M. Toscano, J. Aroba, A. Peregrin. Una Metodología para generar Bases de Conocimiento Difusas basada en Agrupamiento Difuso, Selección y Ajuste Evolutivos. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010). Huelva (Spain, 2010) 103-108 |
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R.M. Toscano, J. Aroba, A. Peregrin. A Methodology to Generate Compact and Accurate Fuzzy Knowledge Bases based on Fuzzy Clustering and Evolutionary Selection and Tuning. IEEE World Congress on Computational Intelligence (WCCI 2010 - FUZZ-IEEE 2010). Barcelona (Spain, 2010) 270-276 |
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I. Triguero, S. García, F. Herrera. A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification.. Accepted in IEEE Congress on Evolutionary Computation (IEEE CEC 2010). Barcelona (Spain, 2010)
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J.R. Villar, E.A. de la Cal, J. Sedano. Low quality data management for optimising energy efficiency in distributed agents. Internacional Conference on Practical Applications of Agents and Multi-agent Systems; Advances in Soft Computing (71/2010 Springer) (PAAMS 2010). Salamanca (Spain, 2010) 673-680 |
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J.R. Villar, E.A. de la Cal, J. Sedano, M. García. Evaluating the low quality measurements in Lighting Control Systems. International Workshop on Soft Computing Models in Industrial Applications, Advances in Soft Computing (73/2010 Springer) (SOCO 2010). Guimaraes (Portugal, 2010) 119-126 |
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J.R. Villar, E.A. de la Cal, J. Sedano, M.A. García. Analysing the Low Quality of the Data in Lighting Control Systems. International Conference on Hybrid Artificial Intelligent Systems 2010; Lecture Notes in Computer Science (6076/2010 Springer) (HAIS 10). San Sebastián (Spain, 2010) 421-428 |
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P. Villar, A. Fernández, 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 (CCIS) (IPMU2010). Lecture Notes in Computer Science 80, 2010, Dortmund (Germany, 2010) 741-750 |
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A. Zafra, M. Pechenizkiy, S. Ventura. Feature Selection is the ReliefF for Multiple Instance Learning. 10th International Conference on Intelligent Systems Design and Applications (ISDA'2010). El Cairo (Egipto, 2010) 525-532 |
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A. Zafra, M. Pechenizkiy, S. Ventura. Reducing Dimensionality in Multiple Instance Learning with a Filter Method. 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS2010). Lecture Notes in Computer Science 6077, Springer-Verlag 2010, San Sebastián (Spain, 2010) 35-44 |
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A. Zafra, S. Ventura. Programación Genética Guiada por Gramática para Aprendizaje con Multi-instancias: Un Estudio Experimental. Accepted in 7th Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB2010). Valencia (Spain, 2010)
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A. Zafra, S. Ventura. Web Usage Mining for Improving Students Performance in Learning Management Systems. 23rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE2010). Lecture Notes in Computer Science 6098, Springer-Verlag 2010, Cordoba (Spain, 2010) 439-449 |
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A. Zafra, S. Ventura. Grammar Guided Genetic Programming for Multiple Instance Learning: An Experimental Study. Accepted in The Genetic and Evolutionary Computation Conference (GECCO2010). Portland (USA, 2010)
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2009 |
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R. Alcalá, Y. Nojima, F. Herrera, H. Ishibuchi. Generating Single Granularity Based Fuzzy Classification Rules for Multiobjective Genetic Fuzzy Rule Selection. In Proceedings of the 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2009). Jeju Island (Korea, 2009) 1718-1723 |
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J.L. Ávila, E.L. Gibaja, A. Zafra, S. Ventura. A Niching Algorithm to Learn Discriminant Functions with Multi-Label Patterns . 10th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2009). Springer-Verlag. Burgos (Spain, 2009) 570-577 |
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J.L. Ávila, E.L. Gibaja, S. Ventura. Multi-label Classification with Gene Expression Programming . Hybrid Artificial Intelligence Systems (HAIS). Salamanca (Spain, 2009) 629-637 |
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J.M. Bardallo, M.A. De Vega, F.A. Márquez, A. Peregrin. Parallel Evolutionary Multiobjective Methodology for Granularity and Rule Base Learning in Linguistic Fuzzy Systems. 2009 IEEE International Conference on Fuzzy Systems (Fuzz-IEEE09). Jeju Island (Korea, 2009) 1700-1705 |
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J.M. Bardallo, M.A. De Vega, F.A. Márquez, A. Peregrin. Parallel Distributed Two-level Evolutionary Multiobjective Methodology for Granularity Learning and Membership Functions Tuning in Linguistic Fuzzy Systems. 9th International Conference on Intelligent Systems Designs and Applications (ISDA'09). Pisa (Italy, 2009) 134-139 |
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A.D. Benítez, J. Casillas. Genetic Learning of Serial Hierarchical Fuzzy Systems for Large-Scale Problems. Joint International Fuzzy Systems Association World Congress and the European Society for Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009). Lisbon (Portugal, 2009) 1751-1756 |
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A.D. Benítez, J. Casillas. Aprendizaje evolutivo de sistemas difusos jerárquicos en serie. VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09). Málaga (Spain, 2009) 255-262 |
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C.J. Carmona, P. González, M.J. del Jesus, F. Herrera. An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery. 2009 IEEE International Conference on Fuzzy Systems (FUZZIEEE 2009). ICC Jeju Island (Korea, 2009) 1706-1711 |
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C.J. Carmona, P. González, M.J. del Jesus, F. Herrera. Non-dominated Multi-objective Evolutionary algorithm based on Fuzzy rules extraction for Subgroup Discovery. 4th International Conference on Hybrid Artificial Intelligence Systems (HAIS'09). Salamanca (Spain, 2009) 573-580 |
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J. Casillas. Efficient multi-objective genetic tuning of fuzzy models for large-scale regression problems. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2009). Jeju (Korea, 2009) 1712-1717 |
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J. Casillas. Embedded Genetic Learning of Highly Interpretable Fuzzy Partitions. Joint International Fuzzy Systems Association World Congress and the European Society for Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009). Lisbon (Portugal, 2009) 1631-1636 |
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A. Castaño, C. Hervás-Martínez, P.A. Gutiérrez, F. Fernández-Navarro, M.M. García. Classification by Evolutionary Generalized Radial Basis Functions. 2009 Ninth International Conference on Intelligent Systems Design and Applications (ISDA09). Pisa (Italy, 2009) 203-208 |
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G. Corral, A. García, A. Orriols-Puig, A. Fornells, E. Golobardes. Multiobjective evolutionary clustering approach to security vulnerability assesments. Accepted in International Workshop on Hybrid Artificial Intelligence Systems (HAIS09). Lecture Notes in Computer Science 0, 2009, Salamanca (Spain, 2009)
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I. Couso, L. Sánchez. Inner and outer confidence regions determined by low quality data. Preference Modelling and Decision Analysis (EUROFUSE09). Pamplona (Spain, 2009) 0-0 |
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E.A. de la Cal, J.R. Villar, J. Sedano. A thermodynamical model study for an energy saving algorithm. Accepted in 4th International Workshop on Hybrid Artificial Intelligent Systems (HAIS'09). Lecture Notes in Computer Science 60, 2009, (, 2009)
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J. Derrac, S. García, F. Herrera. A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection. 4th International Conference on Hybrid Artificial Intelligent Systems (HAIS09). Lecture Notes in Computer Science 5572, Springer 2009, Salamanca (Spain, 2009) 557-564 |
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D.M. Escalante, M.A. Rodriguez, A. Peregrin. An Evolutionary Ensemble-Based Method for Rule Extraction with Distributed Data. International Workshop on Hybrid Artificial Intelligence Systems (HAIS09). Salamanca (Spain, 2009) 638-645 |
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D.M. Escalante, M.A. Rodriguez, A. Peregrin. An Evolutionary Ensemble-based Method for Rule Extraction with Distributed Data. Accepted in 4th International Conference on Hybrid Artificial Intelligent Systems (HAIS09). Lecture Notes in Computer Science 60, Springer-Verlag 2009, Salamanca (Spain, 2009)
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A. Fernández, J. Luengo, J. Derrac, J. Alcala-Fdez, F. Herrera. Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool. 10th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL09). Lecture Notes in Computer Science 5788, Springer 2009, Burgos (Spain, 2009) 562-569 |
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J.C. Fernández, C. Hervás-Martínez, F.J. Martínez-Estudillo, M. Cruz-Ramírez. Design of Artificial Neural etworks using a Memetic Pareto Evolutionary Algorithm using as objectives Entropy versus Variation Coefficient. 2009 Ninth International Conference on Intelligent Systems Design and Applications (ISDA09). Pisa (Italy, 2009) 408-413 |
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A. Fernández, 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. 13 th International Fuzzy Systems Association World Congress and 6th European Society for Fuzzy Logic and Tecnology Conference (IFSA-EUSFLAT2009). Lisbon (Portugal, 2009) 42-47 |
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J.C. Fernández, C. Hervás-Martínez, F.J. Martínez-Estudillo, P.A. Gutiérrez, M. Cruz-Ramírez. Memetic Pareto Differential Evolution for designing Artificial Neural Networks in Multiclassification Problems using Cross-Entropy versus Sensitivity. 4th International Conference on Hybrid Artificial Intelligence Systems, LNAI 5572 (HAIS09). Salamanca (Spain, 2009) 433-441 |
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A. Fernández, 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 in Computer Science 5517, Springer 2009, Salamanca (Spain, 2009) 294-301 |
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A. Fernández, 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 (EUROFUSE09). Pamplona (Spain, 2009) 39-46 |
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J.C. Fernández, M. Carbonero, P.A. Gutiérrez, C. Hervás-Martínez. Ensembles de redes neuronales construidos mediante algoritmos híbridos multiobjetivo para optimizar la precisión y la sensitividad. VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09). Málaga (Spain, 2009) 309-316 |
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F. Fernández-Navarro, P.A. Gutiérrez, C. Hervás-Martínez. A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks. 2009 Ninth International Conference on Intelligent Systems Design and Applications (ISDA09). Pisa (Italy, 2009) 187-192 |
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F. Fernández-Navarro, P.A. Gutiérrez, C. Hervás-Martínez, J.C. Fernández. A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms. Third International Work-Conference on the Interplay Between Natural and Artificial Computation (IWINAC09). Lecture Notes in Computer Science 5601, Springer 2009, Santiago de Compostela (Spain, 2009) 245-254 |
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F. Fernández-Navarro, P.A. Gutiérrez, M. Cruz-Ramírez. Técnica de Hibridación de un Algoritmo Evolutivo y una Búsqueda Local basada en Análisis Cluster para la Optimización de Redes Neuronales RBF. VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB2009). Málaga (Spain, 2009) 317-324 |
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N. Flugy, J. Alcala-Fdez, A. Bonarini, F. Herrera. Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness. 4th International Conference on Hybrid Artificial Intelligent Systems (HAIS09). Salamanca (Spain, 2009) 646-653 |
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M.J. Gacto, R. Alcalá, F. Herrera. A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability. In Proceedings of the Joint International Fuzzy Systems Association World Congress and the European Society for Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009). Lisbon (Portugal, 2009) 1146-1151 |
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M.J. Gacto, R. Alcalá, F. Herrera. Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm. 9th International Conference on Intelligent Systems Designs and Applications (ISDA'09). Pisa (Italy, 2009) 109-114 |
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M.J. Gacto, R. Alcalá, F. Herrera. Algoritmo Genético Multi-Objetivo Avanzado para el ajuste de un sistema difuso aplicado al Control de Sistemas de Ventilación, Calefacción y Aire Acondicionado. En Actas del Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09). Málaga (Spain, 2009) 595-602 |
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S. García, A. Fernández, 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. VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09). Málaga (Spain, 2009) 183-190 |
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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 (ISDA09). Pisa (Italy, 2009) 517-522 |
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M.D. Godoy, A.J. Rivera, A. Fernández, M.J. del Jesus, F. Herrera. A Preliminar Analysis of CO2RBFN in Imbalanced Problems. 10th International Work-Conference on Artificial Neural Networks (IWANN09). Lecture Notes in Computer Science 5517, Springer-Verlag 2009, Salamanca (Spain, 2009) 57-64 |
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P.A. Gutiérrez, C. Hervás-Martínez, J.C. Fernández, F. López-Granados. Hybrid multilogistic regression by means of evolutionary radial basis functions: application to precision agriculture. 4th International Conference on Hybrid Artificial Intelligence Systems, LNAI 5572 (HAIS09). Salamanca (Spain, 2009) 244-251 |
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P.A. Gutiérrez, C. Hervás-Martínez, J.C. Fernández, J.M. Peña-Barragán, M. Jurado-Expósito, F. López-Granados. Hibridación de Algoritmos de Aprendizaje para Modelos Neurologísticos aplicados a la Clasificación de Cubiertas Vegetales. VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09). Málaga (Spain, 2009) 325-332 |
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P.A. Gutiérrez, C. Hervás-Martínez, F.J. Martínez-Estudillo, J.C. Fernández. MultiLogistic Regression using Initial and Radial Basis Function covariates. International Joint Conference on Neural Networks (IJCNN2009). Atlanta (United States, 2009) 1067-1074 |
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C. Hervás-Martínez, P.A. Gutiérrez, J.C. Fernández, S. Salcedo-Sanz, A. Portilla-Figueras, A. Pérez-Bellido, L. Prieto. Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed Prediction. 2009 Ninth International Conference on Intelligent Systems Design and Applications (ISDA09). Pisa (Italy, 2009) 193-198 |
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P.L. López, A.J. Rivera, M.D. Pérez-Godoy, M.J. del Jesus, C.J. Carmona. EMORBFN: An Evolutionary Multiobjetive. International Work-Conference on Artificial Neural Networks (IWANN09). Lecture Notes in Computer Science 5517, 2009, Salamanca (Spain, 2009) 752-759 |
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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). Springer-Verlag. Salamanca (Spain, 2009) 81-88 |
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J. Luengo, A. Fernández, 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, 2009) 523-528 |
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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. 2009 International Fuzzy Systems Association congress and 2009 European Society for Fuzzy Logic and Technology (IFSA 2009) (). Lisbon (Portugal, 2009) 1027-1032 |
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N. Macia, A. Orriols-Puig, E. Bernadó-Mansilla. EMO shines a light on the holes of complexity space. Genetic and Evolutionary Computation Conference (GECCO09). Montréal (Canada, 2009) 1907-1908 |
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N. Macia, A. Orriols-Puig, E. Bernadó-Mansilla. Beyond homemade artificial data sets. International Workshop on Hybrid Artificial Intelligence Systems (HAIS09). Salamanca (Spain, 2009) 605-612 |
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F.A. Márquez, A.A. Marquez, A. Peregrin. Rule Base and Inference System Cooperative Learning of Mamdani Fuzzy Systems with Multiobjective Genetic Algorithms . 13 th International Fuzzy Systems Association World Congress and 6th European Society for Fuzzy Logic and Tecnology Conference (IFSA-EUSFLAT2009). Lisbon (Portugal, 2009) 1045-1050 |
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A. Otero, J. Otero, L. Sánchez. Using Fuzzy Techniques for Bounding the Tolerance of GPS-Based Speed and Distance Measurements in Taximeter Verification. Ninth International Conference on Intelligent Systems Design and Applications (ISDA09). Pisa (Italy, 2009) 743-748 |
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A. Palacios, L. Sánchez, I. Couso. baseline genetic fuzzy classifier based on low quality data. IFSA-EUSFLAT (IFSA-EUSFLAT). Lisboa (Portugal, 2009) 803-808 |
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A. Palacios, L. Sánchez, I. Couso. A minimum risk genetic fuzzy classifier based on low quality data. 4th International Conference on Hybrid Artificial Intelligence Systems (HAIS09). Lecture Notes in Computer Science 5572, Springer-Verlag Berlin / Heidelberg 2009, San Sebastián (Spain, 2009) 654-661 |
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A. Palacios, I. Couso, L. Sánchez. GFS-Based Analysis of Vague Databases in High Performance Athletics. Intelligent Data Engineering and Automated Learning (IDEAL09). Lecture Notes in Computer Science 5788, Springer Berlin / Heidelberg 2009, Burgos (Spain, 2009) 602-609 |
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M.D. Pérez-Godoy, P. Pérez, A.J. Rivera, M.J. del Jesus, P.L. López. CO2RBFN: predicción de series temporales con un enfoque cooperativo-competitivo. Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09). Málaga (España, 2009) 269-276 |
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I. Robles, R. Alcalá, J.M. Benítez, F. Herrera. Distributed Genetic Tuning of Fuzzy Rule-Based Systems. In Proceedings of the Joint International Fuzzy Systems Association World Congress and the European Society for Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009). Lisbon (Portugal, 2009) 1740-1744 |
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C. Romero, S. Ventura, E. García, C. de Castro. Evaluating Web Based Instructional Models Using Association Rule Mining. User Modeling, Adaptation, and Personalization (UMAP). Lecture Notes in Computer Science 5535, Springer 2009, (, 2009) 16-29 |
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C. Romero, S. Ventura, E. García, C. de Castro. Collaborative Data Mining Tool for Education. Educational Data Mining (EDM). (, 2009) 299-306 |
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L. Sánchez, I. Couso. Obtaining a Linguistically Understandable Random Sets-based classifier from interval-valued data with genetic algorithms. . Proceedings 9th International Conference on Intelligent Systems Design and Applications (ISDA). Pisa (Italy, 2009) 102-108 |
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J. Sanz, M. Pagola, H. Bustince, A. Fernández, F. Herrera. Construction of Ignorance Functions from Overlap Functions. EUROFUSE09 Workshop on Preference Modelling and Decision Analysis (EUROFUSE09). Pamplona (Spain, 2009) 317-322 |
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J. Sanz, A. Fernández, H. Bustince, F. Herrera. A First Study on the Use of Interval-Valued Fuzzy Sets with Genetic Tuning for Classification with Imbalanced Data-sets. 4th International Conference on Hybrid Artificial Intelligent Systems (HAIS09). Springer. Salamanca (Spain, 2009) 581-588 |
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J. Sedano, J.R. Villar, L. Curiel, E. Corchado, E.A. de la Cal. Soft computing for detecting thermal insulation failures in buildings. Internacional Conference on Computacional and Mathematical Methods in Science and Engineering (CMMSE). (, 2009) 1392-1402 |
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M.R. Suárez, J.R. Villar, J. Sedano, F. Mateos. Unsupervised Feature Selection in high dimensional spaces and uncertainty. Accepted in 4th International Workshop on Hybrid Artificial Intelligent Systems (HAIS'09). Lecture Notes in Computer Science 60, 2009, (, 2009)
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P. Villar, A. Fernández, 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, 2009) 519-528 |
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P. Villar, A. Fernández, F. Herrera. 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, 2009) 1689-1694 |
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J.R. Villar, R. Perez, E.A. de la Cal, J. Sedano. Efficiency in Electrical Heating Systems: An MAS Real World Application. 7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS'09). Lecture Notes in Computer Science 55, Springer 2009, Berlin (Germany, 2009) 460-469 |
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A. Zafra, S. Ventura. Predicting Student Grades in Learning Management Systems with Multiple Instance Genetic Programming. Second International Conference on Educational Data Mining (EDM09). Cordoba (Spain, 2009) 309-319 |
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A. Zafra, C. Romero, S. Ventura. Predicting Academic Achievement Using Multiple Instance Genetic Programming. 9th International Conference on Intelligent Systems Design and Applications (ISDA09). Pisa (Italy, 2009) 1120-1125 |
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A. Zafra, S. Ventura. A Comparison of Multi-Objective Grammar-Guided Genetic Programming methods to Multiple Instance Learning. 4th International Conference on Hybrid Artificial Intelligence Systems (HAIS09). Lecture Notes in Computer Science 5572, Springer-Verlag 2009, Salamanca (Spain, 2009) 450-458 |
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2008 |
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J. Alcala-Fdez, S. García, F.J. Berlanga, A. Fernández, 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 (GEFS08). WittenBommerholz (Germany, 2008) 83-88 |
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F.J. Berlanga, M.J. del Jesus, F. Herrera. A Novel Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for High Dimensional Problems. 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS08). WittenBommerholz (Germany, 2008) 101-106 |
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C.J. Carmona, P. González, V.M. Rivas, M.J. del Jesus. Aplicación de un algoritmo de extracción de reglas difusas para minería de uso web. XIV Congreso Español Sobre Tecnologías y Lógica Fuzzy (ESTYLF' 08). Langreo (Spain, 2008) 355-362 |
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J. Casillas, A. Orriols-Puig, E. Bernadó-Mansilla. Toward Evolving Consistent, Complete, and Compact Fuzzy Rule Sets for Classification Problems. 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS08). WittenBommerholz (Germany, 2008) 89-94 |
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O. Cordón, A. Quirin, L. Sánchez. A First Study on Bagging Fuzzy Rule-based Classification Multicriteria Genetic Selection of the Component Classifiers. 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS08). WittenBommerholz (Germany, 2008) 11-16 |
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P. Ducange, R. Alcalá, F. Herrera, B. Lazzerini, F. Marcelloni. Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework. 3rd International Workshop on HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS (HAIS 2008). Lecture Notes in Computer Science 5271, Springer-Verlag 2008, Burgos (Spain, 2008) 747-754 |
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A. Fernández, 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. Proceedings of the Eighth International Conference on Hybrid Intelligent Systems (HIS08). Barcelona (Spain, 2008) 483-488 |
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P. Pérez., M.P. Frías, M.D. Pérez-Godoy, A.J. Rivera, M.J. del Jesus, M. Parras, F.J. Torres. An study on data mining methods for short-term forecasting of the extra virgin olive oil price in the Spanish market. INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS (HIS08). Barcelona (España, 2008) 943-946 |
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R. Alcalá, J. Alcala-Fdez, M.J. Gacto, F. Herrera. Aprendizaje Evolutivo de los Contextos de las Funciones de Pertenencia para Extraer Reglas de Asociación Difusas. II Simposio sobre Lógica Fuzzy y Soft Computing (LFSC 2007). Zaragoza (España, 2007) 25-32 |
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E. Bernadó-Mansilla, N. Macia. Modeling problem transformations based on data complexity. Frontiers in Artificial Intelligence and Applications, Vol. 163 (CCIA07). Andorra (Andorra, 2007) 133-140 |
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J. Casillas, F.J. Martínez-López. Consumer modeling by multiobjective genetic fuzzy systems: a descriptive rule induction approach. 36th European Marketing Academy Conference (EMAC 2007). Reykjavik (Iceland , 2007) 1-9 |
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A. Fernández, 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. 9th International Work-Conference on Artificial Neural Networks (IWANN07). Lecture Notes in Computer Science 4507, Springer-Verlag 2007, San Sebastian (Spain, 2007) 375-382 |
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A. Fernández, 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 |
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A. Fornells, E. Golobardes, J.M. Martorell, J.M. Garrell, E. Bernadó-Mansilla, N. Macia. Measuring the applicability of self-organization maps into case-based reasoning. 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA07). Girona (Spain, 2007) 532-539 |
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S. García, D. Molina, M. Lozano, F. Herrera. Tests no paramétricos de comparaciones múltiples con algoritmo de control en el análisis de algoritmos evolutivos: Un caso de estudio con los resultados de la sesión especial en optimización continua CEC2005. I Jornadas sobre Algoritmos Evolutivos y Metaheurísticas (JAEM07). Zaragoza (Spain, 2007) 219-227 |
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S. García, A. Fernández, A.D. Benítez, F. Herrera. Statistical Comparisons by Means of Non-Parametric Tests: A Case Study on Genetic Based Machine Learning. V Taller Nacional de Minería de Datos y Aprendizaje (TAMIDA07). Zaragoza (Spain, 2007) 95-104 |
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P.A. Gutiérrez, C. Hervás-Martínez, M. Lozano. Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks. 8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'07). Lecture Notes in Computer Science 4881, Springer Verlag 2007, Birmingham (UK, 2007) 1131-1140 |
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C. Hervás-Martínez, P.A. Gutiérrez, J.C. Fernández, A.J. Tallón-Ballesteros. Regresión logística multiclase utilizando funciones de base evolutivas de tipo proyección. I Jornadas de Algoritmos Evolutivos y Metaheurísticas (JAEM 2007). Zaragoza (Spain, 2007) 65-72 |
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A. Orriols-Puig, K. Sastry, P.L. Lanzi, D.E. Goldberg, E. Bernadó-Mansilla. Modeling selection pressure in XCS for proportionate and tournament selection. 2007 Genetic and Evolutionary Computation Conference (GECCO'07). London (UK, 2007) 1846-1853 |
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M.D. Pérez-Godoy, A.J. Rivera, M.J. del Jesus, I. Rojas. CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm. 9th International Work-Conference on Artificial Neural Networks (IWANN'2007). Lecture Notes in Computer Science 4507, Springer 2007, San Sebastián (Spain, 2007) 324-332 |
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M.D. Pérez-Godoy, A.J. Rivera, M.J. del Jesus, I. Rojas. Optimización de CoEvRBF para aumentar su eficiencia en tareas de clasificación. II Simposio de Inteligencia Computacional (SICO'2007 - CEDI'2007). Zaragoza (Spain, 2007) 193-199 |
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V.M. Rivas, M.G. Arenas, J.J. Merelo, A. Prieto. EvRBF: Evolving RBF Neural Networks for Classification Problems. 7th WSEAS Internationa Conference on Applied Informatics and Communications (AIC07). Athens (Greece, 2007) 100-106 |
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V.M. Rivas, M.G. Arenas, J.J. Merelo, A. Prieto. Predicción de consumo de agua mediante redes neuronales de funciones base radiales evolutivas. II Congreso Español de Informática (CEDI 2007). Zaragoza (Spain, 2007) 403-413 |
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C. Romero, P. González, S. Ventura, M.J. del Jesus, F. Herrera. Aplicación de algoritmos evolutivos de descubrimiento de subgrupos en e-learning: un caso de estudio analizando cursos de Moodle. V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07). Tenerife (Spain, 2007) 493-500 |
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C. Romero, S. Ventura, J.A. Delgado, P. de Bra. Personalized Links Recommendation Based on Data Mining in Adaptive Educational Hypermedia Systems. Second European Conference on Technology Enhanced Learning (EC-TEL 2007). Lecture Notes in Computer Science 4753, Springer 2007, Crete (Greece, 2007) 292-306 |
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L. Sánchez, J. Otero. Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms. Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE07). London (United Kingdom, 2007) 1921-1926 |
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L. Sánchez, M.R. Suárez, J.R. Villar, I. Couso. Some Results about Mutual Information-based Feature Selection and Fuzzy Discretization of Vague Data. Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE07). London (United Kingdom, 2007) 1958-1963 |
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L. Sánchez, I. Couso, J. Casillas. Modeling vague data with genetic fuzzy systems under a combination of crisp and imprecise criteria. First IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM 2007). Honolulu (USA, 2007) 30-37 |
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A.J. Tallón-Ballesteros, C. Hervás-Martínez, P.A. Gutiérrez, P. Jiménez. Distribución de Modelos de Redes Neuronales Evolutivas de Unidades Producto para Clasificación. V Congreso Español de Metaheurístcas, Algoritmos Evolutivos y Bioinspirados (MAEB 2007). Tenerife (España, 2007) 151-158 |
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A.J. Tallón-Ballesteros, P.A. Gutiérrez, C. Hervás-Martínez. Distribution of the Search of Evolutionary Product Unit Neural Networks for Classification. IADIS Internation Conference Applied Computing 2007 (AC 2007). IADIS Press. Salamanca (Spain, 2007) 266-273 |
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F. Teixidó-Navarro, E. Bernadó-Mansilla. Evolución de modelos jerárquicos de reglas en problemas anidados y no anidados. I Jornadas sobre Algoritmos Evolutivos y Metaheurísticas (JAEM07). Zaragoza (Spain, 2007) 211-218 |
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A. Valero, F. Pérez-Rodriguez, E. Carrasco, C. Hervás-Martínez, P.A. Gutiérrez, J.C. Fernández, R.M. García, G. Zurera. Evolutionary combined neural networks for modelling the growth boundaries for a five strain Staphylococcus cocktail against temperature, pH and water activity. 5th International Conference in Predictive Modelling in Foods (PMF'07). Athens (Greece, 2007) 291-294 |
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J.R. Villar, A. Otero, J. Otero, L. Sánchez. Verificación de taxímetros empleando datos imprecisos. V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'07). Universiad de La Laguna. Puerto de La Cruz (España, 2007) 779-786 |
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J.R. Villar, E.A. de la Cal. Energy Saving by
means of Multi Agent Systems and Fuzzy Systems. International Workshop on practical applications on agents ad multi-agent systems (IWPAAMS2007). Salamanca (Spain, 2007) 119-128 |
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J.R. Villar, A. Otero, J. Otero, L. Sánchez. Datos GPS como conjuntos borrosos, aplicación a la verificación de taxímetros. I Jornadas sobre Algoritmos Evolutivos y Metaheuristicas (JAEM07). Zaragoza (Spain, 2007) 261-268 |
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J.R. Villar, E.A. de la Cal, J. Sedano. Energy Saving by means of Fuzzy Systems. 8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'07). Springer. Birmingham (UK, 2007) 155-167 |
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A. Zafra, S. Ventura, E. Herrera-Viedma, C. Romero. Multiple Instance Learning with Genetic Programming for Web Mining. 9th International Work-Conference on Artificial Neural Networks (IWANN 2007). Springer. San Sebastian (Spain, 2007) 919-927 |
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A. Zafra, S. Ventura. Multiobjective Genetic Programming for Multiple Instance Learning. European Conference on Machine Learning (ECML2007). Lecture Notes in Computer Science 4701, Springer 2007, Warsav (Poland, 2007) 790-797 |
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A. Zafra, S. Ventura, E. Herrera-Viedma. Aprendizaje Multi-instancia con Programación Genética para Web Mining. I Jornadas de Algoritmos Evolutivos y Metaheurísticas (JAEM). Zaragoza (España, 2007) 1-8 |
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2006 |
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R. Alcalá, J. Alcala-Fdez, M.J. Gacto, F. Herrera. Obtención de Sistemas Basados en Reglas Difusas Precisos y Compactos Mediante Algoritmos Genéticos Multiobjetivo. XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF06). Ciudad Real (España, 2006) 1-6 |
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R. Alcalá, J. Alcala-Fdez, F.J. Berlanga, M.J. Gacto, F. Herrera. Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection. Modeling Decisions for Artificial Intelligence (MDAI06). Lecture Notes in Computer Science 3885, Springer 2006, Tarragona (Spain, 2006) 317-328 |
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R. Alcalá, J. Alcala-Fdez, M.J. Gacto, F. Herrera. Obtaining Compact and Still Accurate Linguistic Fuzzy Rule-Based Systems by Using Multi-Objetive Genetic Algorithms. Symposium on Fuzzy Systems in Computer Science (FSCS06). Magdeburg (Germany, 2006) 53-62 |
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R. Alcalá, J. Alcala-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. 19th International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA/AIE06). Lecture Notes in Computer Science 4031, Springer-Verlag 2006, Annecy (France, 2006) 452-461 |
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F.J. Berlanga, M.J. del Jesus, M.J. Gacto, F. Herrera. A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems. The Eighth International Conference on Artificial Intelligence and Soft Computing (ICAISC06). Lecture Notes in Computer Science 4029, Springer 2006, Zakopane (Poland, 2006) 182-191 |
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F.J. Berlanga, M.J. del Jesus, P. González, F. Herrera, M. Mesonero. Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing. 6th Industrial Conference on Data Mining (ICDM 2006). Lecture Notes in Computer Science 4065, Springer 2006, Leipzig (Germany, 2006) 337-349 |
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J. Casillas, L. Sánchez. Knowledge extraction from fuzzy data for estimating consumer behavior models. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2006). Vancouver (Canada, 2006) 572-578 |
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M.J. del Jesus, A. Fernández, S. García, F. Herrera. A first study on the use of fuzzy rule based classification systems for problems with imbalanced data sets. Symposium on Fuzzy Systems in Computer Science (FSCS06). Magdeburg (Germany, 2006) 63-72 |
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A. Fernández, 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. Actas del Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF06). Ciudad Real (Spain, 2006) 89-95 |
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A. Fornells, E. Golobardes, E. Bernadó-Mansilla. Decision Support System for the Breast Cancer Diagnosis by a Meta-learning Approach based on Grammar Evolution. VIIIth International Conference on Enterprise Information Systems (ICEIS06). Paphos (Cyprus, 2006) 222-229 |
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A. Fornells, E. Golobardes, E. Bernadó-Mansilla, J. Martí. Decision support system for breast cancer diagnosis by a meta-learning approach based on grammar evolution. 9th International Conference on Enterprise Information Systems (). (, 2006) 222-227 |
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S. García, J.R. Cano, A. Fernández, F. Herrera. A proposal of evolutionary prototype selection for class imbalance problems. International Conference on Intelligent Data Engineering and Automated Learning (IDEAL06). Lecture Notes in Computer Science 4224, Springer-Verlag 2006, Burgos (Spain, 2006) 1415-1423 |
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S. García, J.R. Cano, F. Herrera. Incorporating knowledge in evolutionary prototype selection. International Conference on Intelligent Data Engineering and Automated Learning (IDEAL06). Lecture Notes in Computer Science 4224, Springer-Verlag 2006, Burgos (Spain, 2006) 1358-1366 |
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F. Herrera, J.R. Cano. Técnicas de reducción de datos en KDD. El uso de Algoritmos Evolutivos para la Selección de Instancias. Actas del I Seminario Sobre Sistemas Inteligentes (SSI06). Madrid (Spain, 2006) 165-181 |
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C. Hervás-Martínez, F.J. Martínez-Estudillo, P.A. Gutiérrez. Classification by means Evolutionary Product-Unit Neural Networks. International Joint Conference on Neural Networks (IJCNN 2006). Vancouver (Canada, 2006) 2834-2842 |
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F.J. Martínez-Estudillo, C. Hervás-Martínez, A.C. Martínez-Estudillo, S. Ventura, P.A. Gutiérrez. Evolutionary Product-Unit Neural Networks for Classification. 7th International Conference on Intelligent Data and Automated Learning (IDEAL 2006). Lecture Notes in Computer Science 4664, Springer Berlin/Heidelberg 2006, Burgos (España, 2006) 1320-1328 |
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A. Orriols-Puig, E. Bernadó-Mansilla. A Further Look at UCS Classifier System. 2006 Genetic and Evolutionary Computation Workshop Program (IWLCS'06). Seattle WA (USA, 2006) 1-4 |
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A. Orriols-Puig, E. Bernadó-Mansilla. Bounding XCS's Parameters for Unbalanced Datasets. 2006 Genetic and Evolutionary Computation (GECCO'06). ACM Press. Seattle WA (USA, 2006) 1561-1568 |
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A. Otero, J. Otero, L. Sánchez, J.R. Villar. Longest path estimation from inherently fuzzy data acquired with GPS using genetic algorithms. 2nd International Symposium on Evolving Fuzzy Systems 2006 (EFS06). Ambleside Lake District (UK, 2006) 300-306 |
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C. Romero, S. Ventura, P. de Bra, C. Hervás-Martínez. An Authoring Tool for Building Both Mobile Adaptable Tests and Web-Based Adaptive or Classic Tests. Int. Conference Adaptive Hipermedia (AH 2006). Lecture Notes in Computer Science 4018, Springer-Verlag 2006, Dublín (Irlanda, 2006) 203-212 |
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L. Sánchez, I. Couso, J. Casillas. A Multiobjective Genetic Fuzzy System with Imprecise Probability Fitness for Vague Data. 2nd International Symposium on Evolving Fuzzy Systems 2006 (EFS06). Ambleside Lake District (UK, 2006) 131-137 |
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L. Sánchez, J. Otero, J.R. Villar. Boosting of fuzzy models for high-dimensional imprecise datasets. 11th International Conference on Information Processing and Management (IPMU2006). Paris (France, 2006) 1965-1973 |
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J.R. Villar, A. Otero, J. Otero, L. Sánchez. Genetic Algorithms for Estimating Longest Pathfrom Inherently Fuzzy Data Acquired with GPS. Intelligent Data Engineering and Automated Learning 2006 (IDEAL 2006). Lecture Notes in Computer Science 4224, Springer 2006, Burgos (Spain, 2006) 232-240 |
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J.R. Villar, L. Sánchez, A. Otero, J. Otero. Verificación de Taximetros usando mediciones GPS como conjuntos borrosos. XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006). Ciudad Real (Spain, 2006) 223-228 |
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2005 |
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R. Alcalá, J. Alcala-Fdez, F. Herrera, J. Otero. Genetic Learning of the Knowledge Base of a Fuzzy System by Using the Linguistic 2-Tuples Representation. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE05). Florida (USA, 2005) 797-802 |
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R. Alcalá, J. Alcala-Fdez, M.J. Gacto, F. Herrera. Genetic Lateral and Amplitude Tuning of Membership Functions for Fuzzy Systems. International Conference on Machine Intelligence (ACIDCA-ICMI05). Tozeur (Tunisia, 2005) 589-595 |
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R. Alcalá, J. Alcala-Fdez, F. Herrera, J. Otero. A New Genetic Fuzzy System Based on Linguistic 2-Tuples to Learn Knowledge Bases. I International Workshop on Genetic Fuzzy Systems (GFS05). Granada (Spain, 2005) 107-112 |
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R. Alcalá, J. Alcala-Fdez, M.J. Gacto, F. Herrera. Ajuste Evolutivo Lateral y de Amplitud de etiquetas para Sistemas Basados en Reglas Difusas. Simposio de Inteligencia Computacional (SICO05). Granada (España, 2005) 481-488 |
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J. Bacardit. Analysis of the Initialization Stage of a Pittsburgh Approach Learning Classifier System. Genetic and Evolutionary Computation Conference 2005 (GECCO'05). Washington DC (USA, 2005) 1843-1850 |
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F.J. Berlanga, M.J. del Jesus, F. Herrera. Learning compact fuzzy rule-based classification systems with genetic programming. 4th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT05). Barcelona (Spain, 2005) 1027-1032 |
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F.J. Berlanga, F. Herrera, M.J. del Jesus. Aprendizaje de reglas difusas mediante programación genética en problemas con alta dimensionalidad. I Simposio sobre Lógica Fuzzy y Soft Computing (LFSC05). Granada (España, 2005) 93-100 |
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F.J. Berlanga, M.J. del Jesus, P. González, F. Herrera. Multiobjective evolutionary induction of subgroup discovery rules in a market problem. 2nd International Conference on Machine Intelligence (ACIDCA-ICMI05). Tozeur (Tunisia, 2005) 610-617 |
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J.R. Cano, F. Herrera, M. Lozano. Extracción de Modelos Predictivos Interpretables en Conjuntos de Datos de Tamaño Grande mediante la Selección de Conjuntos de Entrenamiento. III Taller de Minería de Datos y Aprendizaje (TAMIDA'05). Granada (Spain, 2005) 145-152 |
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J. Casillas, O. Delgado, F.J. Martínez-López. Predictive knowledge discovery by multiobjective genetic fuzzy systems for estimating consumer behavior models. Proceedings of the 4th International Conference in Fuzzy Logic and Technology (EUSFLAT05). Barcelona (Spain, 2005) 272-278 |
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J. Casillas, B. Carse, L. Bull. Reinforcement learning by an accuracy-based fuzzy classifier system with real-valued output. Proceedings of the First International Workshop on Genetic Fuzzy Systems (GFS05). Granada (Spain, 2005) 44-50 |
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J. Casillas, O. Delgado, F.J. Martínez-López. Una metodología de KDD basada en sistemas difusos genéticos multiobjetivo para modelado causal en marketing. IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'05). Granada (Spain, 2005) 681-688 |
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E.A. de la Cal, L. Sánchez. Detección de situaciones de colusión en el mercado de generación eléctrica español mediante algoritmos genéticos. IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'05). Granada (Spain, 2005) 573-580 |
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R. del Castillo, C. Hervás-Martínez, S. Ventura, D. Ortiz-Boyer. Operadores de cruce por intervalo de confianza en problemas de modelado utilizando algoritmos genéticos con codificación real. X Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA'03). San Sebastián (España, 2005) 163-172 |
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M.J. del Jesus, P. González, F. Herrera. Inducción evolutiva multiobjetivo de reglas de descripción de subgrupos en un problema de marketing.. IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'05). Granada (Spain, 2005) 661-669 |
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M.J. del Jesus, P. González, F. Herrera, M. Mesonero. Evolutionary induction of descriptive fuzzy rules in a market problem. I International Workshop on Genetic Fuzzy Systems (GFS'05). Granada (Spain, 2005) 57-63 |
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P.G. Espejo, C. Hervás-Martínez, S. Ventura. Influencia de la elección de operadores lógicos en la comprensibilidad del conocimiento inducido. III Taller de Minería de Datos y Aprendizaje (TAMIDA'05). Granada (Spain, 2005) 3-12 |
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P.G. Espejo, C. Romero, S. Ventura, C. Hervás-Martínez. Programación genética Gramatical para el descubrimiento de reglas de clasificación. IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'05). Granada (Spain, 2005) 653-660 |
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P.G. Espejo, C. Romero, S. Ventura, C. Hervás-Martínez. Induction of classification rules with grammar-based genetic programming. International Conference on Machine Intelligence (ACIDCA-ICMI'05). Tozeur (Tunisia, 2005) 596-601 |
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M.E. Fernández, E.A. de la Cal, R. Quiroga. Un nuevo algoritmo de búsqueda de sistemas de trading bursátil a corto plazo basado en GAPs. IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'05). Granada (Spain, 2005) 85-92 |
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A. Fornells, J. Camps, E. Golobardes, J.M. Garrell. Incorporación de conocimiento en forma de restricciones sobre algoritmos evolutivos para la búsqueda de funciones de similitud. IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB05). Granada (Spain, 2005) 397-404 |
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N. García, D. Ortiz-Boyer, R. del Castillo. Cascade Ensembles. International Workshop on Artificial Neural Networks (IWANN'05). Lecture Notes in Computer Science 3512, Springer-Verlag 2005, Barcelona (España, 2005) 598-603 |
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C. García-Martínez, M. Lozano. Hybrid Real-Coded Genetic Algorithms with Female and Male Differentiation. Proceedings of the IEEE Congress on Evolutionary Computation (CEC'05). Edinburgh (UK, 2005) 896-903 |
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C. García-Martínez, M. Lozano. Diferenciación sexual de cromosomas para la aplicación de operadores de cruce con codificación real centrados en un padre. IV Congreso de Metaheurísticas, Algoritmos Evolutivos y (MAEB'05). Granada (España, 2005) 389-396 |
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C. Hervás-Martínez, F.J. Martínez-Estudillo, P.A. Gutiérrez, A. Ruíz. Regresión no lineal mediante la evolución de modelos híbridos de redes neuronales. Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB05). Granada (Spain, 2005) 333-340 |
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M. Lozano, F. Herrera, C. García-Martínez. Técnicas de diversificación para la mejora de los operadores de cruce centrados en un padre. IV Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinsipirados (MAEB'05). Granada (España, 2005) 15-22 |
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F. Martínez, C. Hervás-Martínez, A.C. Martínez-Estudillo, D. Ortiz-Boyer. Memetic algorithms to product-unit neural networks for regresión. International Workshop on Artificial Neural Networks (IWANN'05). Lecture Notes in Computer Science 3512, Springer-Verlag 2005, Barcelona (España, 2005) 83-90 |
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D. Molina, F. Herrera, M. Lozano. Técnicas de Diversidad para Algoritmos Meméticos: un estudio experimental. IV congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'05). Granada (Spain, 2005) 39-46 |
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D. Molina, F. Herrera, M. Lozano, C. García-Martínez, A.M. Sánchez. Técnicas de Diversidad para Algoritmos Meméticos. II Congreso Mexicano de Computación Evolutiva (COMCEV'05). Aguascalientes (Mexico, 2005) 29-34 |
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D. Molina, F. Herrera, M. Lozano. Adaptive Local Search Parameters for Real-Coded Memetic Algorithms. IEEE Congress on Evolutionary Computation (CEC'05). Edinburg (Scotland, 2005) 888-895 |
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M. Mucientes, R. Alcalá, J. Alcala-Fdez, J. Casillas. Learning Weighted Linguistic Rules for Mobile Robotics. XI World Congress of International Fuzzy Systems Association (IFSA05). Beijing (China, 2005) 1279-1285 |
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M. Mucientes, J. Casillas. Learning fuzzy robot controllers to follow a mobile object. Proceedings of the 2nd International Conference on Machine Intelligence (ACIDCA-ICMI05). Tozeur (Tunisa, 2005) 566-573 |
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A. Orriols-Puig, E. Bernadó-Mansilla. The Class Imbalance Problem in Learning Classifier Systems:A Preliminary Study. 2005 Genetic and Evolutionary Computation Conference Workshop Program (GECCO2005). ACM press. Washington DC (USA, 2005) 74-78 |
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A. Orriols-Puig, E. Bernadó-Mansilla. The Class Imbalance Problem in UCS Classifier System: Fitness Adaptation. 2005 IEEE Congress on Evolutionary Computation (CEC2005. Volume 1). Edimburgh (UK, 2005) 604-611 |
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D. Ortiz-Boyer, C. Hervás-Martínez, N. García, A.C. Martínez-Estudillo. Influencia del operador de cruce en la optimización de funciones con restricciones usando métodos de penalización. IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'05). Granada (España, 2005) 405-412 |
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J. Otero, L. Sánchez, J. Alcala-Fdez. Un estudio empírico preliminar acerca del uso de los tests de comparaciones múltiples en aprendizaje automático. IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'05). Granada (Spain, 2005) 803-810 |
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C. Romero, S. Ventura, C. Hervás-Martínez, P.G. Espejo. Rule discovery in web-based educational systems using grammar-based genetic programming. VIth International Conference on Data Mining (Data Mining'05). WIT Press. Skiathos (Greece, 2005) 205-214 |
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A.M. Sánchez, F. Herrera, M. Lozano, P. Villar. Estudio de operadores de cruce con múltiples descendientes para algoritmos genéticos con codificación real. IV congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'05). Granada (Spain, 2005) 31-38 |
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L. Sánchez, M.R. Suárez, I. Couso. A fuzzy definition of Mutual Information with application to the design of Genetic Fuzzy Classifiers. International Conference on Machine Intelligence (ACIDCA-ICMI05). Tozeur (Tunisia, 2005) 602-609 |
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L. Sánchez, J. Otero, J. Alcala-Fdez. Assessing the Differences in Accuracy between GFSs with Bootstrap Tests. IV Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-LFA05). Barcelona (Spain, 2005) 1021-1026 |
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L. Sánchez, I. Couso. Managing imprecisely observed data in Genetic Fuzzy Models by means of a fuzzy-valued Fitness function. IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'05). Granada (Spain, 2005) 499-506 |
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J.R. Villar, L. Sánchez. Modelado de procesos caóticos mediante inducción genética. Simposio de Ingeniería de Sistemas y Automática en Bioingeniería (SISAB'05). Granada (Spain, 2005) 49-55 |
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2004 |
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J.S. Aguilar-Ruiz, J. Bacardit, F. Divina. Experimental Evaluation of Discretization Schemes for Rule Induction. Genetic and Evolutionary Computation Conference (GECCO'04). Lecture Notes in Computer Science 3102, Springer-Verlag 2004, Chicago (USA, 2004) 828-839 |
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R. Alcalá, F. Herrera. Genetic Tuning on Fuzzy Systems Based on the Linguistic 2-Tuples Representation. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE04). Budapest (Hungary, 2004) 233-238 |
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J. Alcala-Fdez, R. Alcalá, O. Cordón, F. Herrera. Aprendizaje de Pesos y Selección Evolutiva para la Reducción de la Base de Reglas Difusas. III Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB04). Córdoba (España, 2004) 118-125 |
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J. Alcala-Fdez, R. Alcalá, F. Herrera. Aprendizaje y Ajuste Genético De Sistemas Difusos Basado en la Representación de 2-Tuplas Lingüísticas. XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF04). Jaén (Spain, 2004) 333-338 |
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J. Bacardit, D.E. Goldberg, M.V. Butz, X. Llorà, J.M. Garrell. Speeding-up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy. VIII International Conference on Parallel Problem Solving from Nature (PPSN VIII). Lecture Notes in Computer Science 3242, Springer 2004, Birmingham (UK, 2004) 1021-1031 |
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J. Bacardit, J.M. Garrell. Analysis and improvements of the Adaptive Discretization Intervals knowledge representation. Genetic and Evolutionary Computation Conference (GECCO'04). Lecture Notes in Computer Science 3103, Springer-Verlag 2004, Seattle (USA, 2004) 726-738 |
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J. Bacardit, J.M. Garrell, P. Miralles. Combinando múltiples discretizadores para aprendizaje de reglas evolutivo con enfoque de Pittsburgh. III Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'04). Córdoba (España, 2004) 195-202 |
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E. Bernadó-Mansilla. Complejidad del aprendizaje y muestreo de ejemplos en sistemas clasificadores. Tercer Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB04). (, 2004) 203-210 |
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E. Bernadó-Mansilla. Complejidad del Aprendizaje y Muestreo de Ejemplos en Sistemas Clasificadores. III Congreso Español de Metaheurísticas. Algoritmos Evolutivos y Bioinspirados (MAEB04). Córdoba (Spain, 2004) 203-210 |
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J. Camps, J.M. Garrell. Algunas Mejoras en la Evaluación de los Individuos de la Programación Genética para la Regresión Simbólica. III Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB04). Córdoba (España, 2004) 522-528 |
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J.R. Cano, F. Herrera, M. Lozano. Evolutionary Stratified Instance Selection applied to Training Set Selection for Extracting High Precise-Interpretable Classification Rules. IV IEEE International Conference on Data Mining (ICDM'04). Brightom (United Kingdom, 2004) 0-0 |
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J. Casillas, O. Cordón, F. Herrera, P. Villar. Aprendizaje híbrido de la base de conocimiento de un sistema basado en reglas difusas mediante algoritmos genéticos y colonias de hormigas. XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF'04). Jaén (España, 2004) 357-362 |
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J. Casillas, O. Cordón, F. Herrera, P. Villar. A hybrid learning process for the knowledge base of a fuzzy rule-based system. X International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU'04). Perugia (Italy, 2004) 2189-2196 |
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I. Couso, S. Montes, L. Sánchez. Varianza de una variable aleatoria difusa. Estudio de distintas definiciones. XII Congreso Español de Tecnologías y lógica Difusa (ESTYLF'04). Jaén (Spain, 2004) 267-272 |
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E.A. de la Cal. Un modelo difuso para la estimación de estrategias de generación eléctrica. III Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'04). Córdoba (Spain, 2004) 59-67 |
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R. del Castillo, C. Hervás-Martínez, S. Ventura, D. Ortiz-Boyer. Application of crossover operators based on confidence interval in modelling problems using real-coding genetic algorithms. X Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA'04). Lecture Notes in Computer Science 3040, Springer-Verlag 2004, San Sebastián (España, 2004) 177-186 |
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M.J. del Jesus, P. González, F. Herrera, M. Mesonero. Extracción de reglas DNF Difusas en un problema de Marketing. XII Congreso Español de Tecnologías y lógica Difusa (ESTYLF'04). Jaen (Spain, 2004) 351-356 |
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M.J. del Jesus, P. González, F. Herrera, M. Mesonero. Algoritmo Evolutivo de Extracción de Reglas de Asociación aplicado a un Problema de Marketing. III Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'04). Cordoba (Spain, 2004) 102-104 |
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F. Herrera. Sistemas Difusos Evolutivos. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF04). Jaén (Spain, 2004) 1-8 |
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F. Herrera, M. Lozano, A.M. Sánchez. Operadores de cruce con múltiples descendientes para algoritmos genéticos con codificación real: Estudio experimental. Tercer Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'04). Córdoba (España, 2004) 292-299 |
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T.K. Ho, E. Bernadó-Mansilla. On Classifier Domains of Competence. XVII International Conference on Pattern Recognition (ICPR04). Cambridge (UK, 2004) 136-139 |
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A. López, L. Sánchez, F. Doctor, H. Hagras, V. Callaghan. An Evolutionary Algorithm for the Off-Line Data Driven Generation of Fuzzy Controllers for Intelligent Buildings. IEEE International Conference on Systems, Man and Cybernetics (SMC 04). The Hague (Netherlands, 2004) 42-47 |
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A. López, F. Doctor, L. Sánchez. Algoritmo GA-P Difuso para la Generación de Controladores en Edificios Inteligentes. III Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'04). Córdoba (Spain, 2004) 515-521 |
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M. Lozano, F. Herrera, N. Krasnogor, D. Molina. Algoritmos Meméticos con Codificación Real con Técnicas de Ascensión de Colinas Basadas en el Cruce. Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'04). Cordoba (Spain, 2004) 254-261 |
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A.C. Martínez-Estudillo, F.J. Martínez-Estudillo, C. Hervás-Martínez, J. Muñoz. Algoritmo Evolutivo para el reconocimiento de funciones de base potencial. Tercer Congreso Español sobre metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB04). Córdoba (Spain, 2004) 562-570 |
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M. Mucientes, J. Casillas. Obtaining a fuzzy controller with high interpretability in mobile robots navigation. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'04). Budapest (Hungary, 2004) 1637-1642 |
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M. Mucientes, J. Casillas. Generación eficiente de un controlador difuso con alta interpretabilidad para navegación de robots móviles. XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF'04). Jaén (España, 2004) 401-406 |
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J. Otero, A. Otero, L. Junco, L. Sánchez. Optimización genética de la posición de las cámaras en un sistema de medición bajo una caracterización borrosa del error de medida. III Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB04). Córdoba (Spain, 2004) 83-90 |
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2003 |
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J.J. Aguilera, M.J. del Jesus, P. González, F. Herrera, M. Navio, J. Sainz. Extracción Evolutiva de Reglas de Asociación en un Servicio de Urgencias Psiquiátricas. II Congreso español sobre Metaheurísticas, Algoritmos evolutivos y bioinspirados (MAEB'03). Gijon (Spain, 2003) 548-555 |
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J. Bacardit, J.M. Garrell. Comparison of training set reduction techniques for Pittsburgh approach Genetic Classifier Systems. X Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA'03). San Sebastián (España, 2003) 223-226 |
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J. Bacardit, J.M. Garrell. Incremental Learning for Pittsburgh Approach Classifier Systems. II Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'03). Gijón (España, 2003) 303-311 |
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J. Bacardit, J.M. Garrell. Evolving multiple discretizations with adaptive intervals for a Pittsburgh Rule-Based Learning Classifier System. Genetic and Evolutionary Computation Conference (GECCO'03). Lecture Notes in Computer Science 2724, Springer-Verlag 2003, Chicago (USA, 2003) 1818-1831 |
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J. Camps, J.M. Garrell, E. Golobardes, D. Vernet. Diseño de Funciones de Similitud para el Razonamiento Basado en Casos usando Programación Genética: estudio con problemas sintéticos. II Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03). Gijón (España, 2003) 409-416 |
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O. Cordón, R. Alcalá, F. Herrera. Algoritmos Genéticos para el Ajuste de Parámetros y Selección de Reglas en el Control Difuso de un Sistema de Climatización HVAC para Grandes Edificios. II Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03). Gijón (España, 2003) 39-46 |
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E.A. de la Cal, M.R. Suárez. Application of an Optimizing Supply Strategies model in the Spanish Electrical Market. Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems (EUROGEN 03). Barcelona (Spain, 2003) 89-91 |
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E.A. de la Cal, L. Sánchez. Optimizing supply strategies in the Spanish Electrical Market. International Work on Artificial Neural Networks (IWANN'03). Lecture Notes in Computer Science 2687, Springer Verlag 2003, Menorca (Spain, 2003) 353-360 |
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E.A. de la Cal, L. Sánchez. Discusión y aplicación práctica de un modelo de estimación de estrategias de generación eléctrica. II Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03). Gijón (Spain, 2003) 47-53 |
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N. García, D. Ortiz-Boyer, C. Hervás-Martínez. Confidence interval based crossover applied to neural network evolution. II Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'03). Gijón (España, 2003) 507-514 |
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A. López, L. Sánchez. Genetic Search of Block-Based Structures of Dynamical Process Models. International Work on Artificial Neural Networks (IWANN'03). Lecture Notes in Computer Science 2687, Springer Verlag 2003, Menorca (Spain, 2003) 526-533 |
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A. López, L. Sánchez. Búsqueda SA-P de Estructuras y Parámetros de Modelos de Procesos Dinámicos. II Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'03). Gijón (Spain, 2003) 515-522 |
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A.C. Martínez-Estudillo, F.J. Martínez-Estudillo, C. Hervás-Martínez, N. García, R.M. García. Modelado de Sistemas de crecimiento microbiano mediante redes neuronales evolutivas. Segundo Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03). Gijón (Spain, 2003) 485-492 |
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D. Ortiz-Boyer, C. Hervás-Martínez, R. del Castillo. Optimización de funciones con óptimos en los bordes del dominio mediante algoritmos genéticos con codificación real. II Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'03). Gijón (España, 2003) 209-215 |
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J. Otero, A. Otero, L. Junco, L. Sánchez. Posicionamiento automático de las cámaras en un sistema de medición visual de cotas de vehículos. II Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'03). Gijón (Spain, 2003) 216-223 |
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Books
Jump to Year: 2010 2009 2008
2010 |
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C. Romero, S. Ventura, M. Pechenizkiy, R. Baker. - Handbook of Educational Data Mining. Chapman and Hall/CRC Press, Taylor & Francis Group, 2010. ISBN: 9781439804575 |
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2009 |
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F.J. Martínez-López, J. Casillas, F.J. Martínez. Sistemas Inteligentes de Marketing para Modelado Causal. Delta Publicaciones S.L., 2009. ISBN: 978-84-92453-30-6 |
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2008 |
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J. Bacardit, E. Bernadó-Mansilla, M.V. Butz, T. Kovacs, X. Llorà, K. Takadama. Learning Classifier Systems. Springer, 2008. ISBN: 978-3-540-88137-7 |
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L. Bull, E. Bernadó-Mansilla, J. Holmes. Learning Classifier Systems in Data Mining. Springer, 2008. ISBN: 978-3-540-78978-9 |
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