In this link are available the publications supported by the three sequential projects TIC2002-04036-C05, TIN2005-08386-C05 and TIN2008-06681-C06

• Ph. Degree (26)
  
  
• Journal Contributions: Accepted (29)
  
  
• Journal Contributions: Published (205)
  
  
• Contributions to Books Chapters (45)
  
  
• Conference Contributions (441)
  
  
• Books (4)
  
  
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 Ph. Degrees

Jump to Year:   2011  2010  2009  2008  2007  2006  2005  2004  2003

2011
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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			bib
2010
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2009
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2008
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2007
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2006
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2005
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2004
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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			bib
2003
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 Journal Contributions: Accepted

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2012
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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			bib
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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			bib
	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		bib
	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			bib
	A. Zafra, S. Ventura. Multi-Objective Approach Based on Grammar-Guided Genetic Programming for Solving Multiple Instance Problems. Soft Computing (2012) In press		bib
2011
	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		bib
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	I. Couso, D. Dubois. Rough Sets, Coverings and Incomplete Information. Fundamenta Informaticae (2011) In press			bib
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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		bib
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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			bib
	A. Zafra, M. Pechenizkiy, S. Ventura. HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning . Information Sciences (2011) In press		bib
2010
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 Journal Contributions: Published

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2012
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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			bib
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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			bib
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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		bib
2011
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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			bib
	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			bib
	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			bib
	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			bib
	M.A. Rodriguez, D.M. Escalante, A. Peregrin. Efficient Distributed Genetic Algorithm for Rule extraction. Applied Soft Computing 11:1 (2011) 733-743			bib
	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			bib
	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			bib
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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			bib
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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		bib
	A. Zafra, C. Romero, S. Ventura. . Multiple Instance Learning for Classifying Students in Learning Management Systems. Expert Systems With Applications 38 (2011) 15020-15031			bib
2010
	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			bib
	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			bib
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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			bib
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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			bib
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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		bib
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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			bib
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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			bib
	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			bib
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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		bib
2009
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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		bib
	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		bib
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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			bib
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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			bib
	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		bib
2008
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	F. Herrera. Genetic Fuzzy Systems: Taxonomy, Current Research Trends and Prospects. Evolutionary Intelligence 1 (2008) 27-46			bib
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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			bib
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2007
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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			bib
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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			bib
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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			bib
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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			bib
	C. Romero, S. Ventura. Educational data mining: a survey from 1995 to 2005. Expert Systems with Applications 33:1 (2007) 135-146			bib
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2006
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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			bib
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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			bib
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2005
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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			bib
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2004
	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			bib
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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			bib
	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			bib
2003
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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			bib

 Contributions to Books Chapters

Jump to Year:   2011  2010  2008  2007  2006  2005  2004  2003

2011
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2010
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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		bib
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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			bib
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2008
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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			bib
2007
	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			bib
	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			bib
	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			bib
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2006
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2005
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2004
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2003
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 Conference Contributions

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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)		bib
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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		bib
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2011
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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		bib
	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			bib
	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			bib
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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			bib
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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		bib
	C. Marquez-Vera, C. Romero, S. Ventura. Predicting School Failure Using Data Mining. International Conference on Educational Data Mining (). (, 2011) 271-275			bib
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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		bib
	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			bib
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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			bib
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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			bib
	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		bib
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2010
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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			bib
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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			bib
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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)			bib
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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)			bib
	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			bib
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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			bib
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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			bib
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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			bib
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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			bib
	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)		bib
	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		bib
2009
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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		bib
	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			bib
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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)			bib
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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			bib
	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)			bib
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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			bib
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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			bib
	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			bib
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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			bib
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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			bib
	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			bib
	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			bib
	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			bib
2008
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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			bib
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	A. Peregrin, M.A. Rodriguez. Efficient Distributed Genetic Algorithm for Rule Extraction. 8th International Conference on Hybrid Intelligent Systems (HIS08). Barcelona (Spain, 2008) 531-536			bib
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	J. Rios, A. Orriols-Puig, J.M. Garrell. Artificial Data Sets based on Knowledge Generators: Analysis of Learning Algorithms Efficiency. Hybrid Intelligent Systems Conference (HIS'08). Barcelona (Spain, 2008) 873-878			bib
	C. Romero, S. Gutierrez, M. Freire, S. Ventura. Minig and visualizing trails in Web-based educational systems. Educational Data Mining Conference (EDM). Montreal (Canada, 2008) 182-185			bib
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	J.R. Villar, E.A. de la Cal, J. Sedano. Minimizing energy consumption in heating systems under uncertainty. 3rd International Workshop on Hybrid Artificial Intelligence Systems (). Lecture Notes in Computer Science 5271, 2008, Berlin (Germany, 2008) 583-590			bib
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	A. Zafra, E. Gibaja, S. Ventura. Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining. Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008). Barcelona (SPAIN, 2008) 513-518			bib
2007
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	J.J. Aguilera, M. Chica, M.J. del Jesus, F. Herrera. Niching genetic feature selection algorithms applied to the design of fuzzy rule-based classification systems. 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007). London (UK, 2007) 1794-1799			bib
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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			bib
	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			bib
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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			bib
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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			bib
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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			bib
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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			bib
2006
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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			bib
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2005
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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			bib
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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			bib
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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			bib
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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			bib
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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			bib
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2004
	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			bib
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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			bib
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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			bib
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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			bib
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2003
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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			bib
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