Books

Bacardit, J., Bernadó-Mansilla, E., Butz, M.; Kovacs, T.; Llorà, X.; Takadama, K., Learning Classifier Systems. 10th International Workshop. 11th International Workshop. Revised Selected Papers, Lecture Notes in Artificial Intelligence, vol. 1998, Springer 2008.

L. Bull, E. Bernadó-Mansilla, J. Holmes, Learning Classifier Systems in Data Mining, Studies in Computational Intelligence, Springer 2008.

Journals

García, S., Cano, J.R., Bernadó-Mansilla, E., Herrera, P., Diagnose of effective evolutionary prototype selectin using an overlapping measure, International Journal of Pattern Recognition and Artificial Intelligence, in press, 2009.

Orriols, A., Casillas, J., Bernadó, E, Fuzzy-UCS: A Michigan-style Learning Fuzzy-Classifier System for Supervised Learning, IEEE Transactions on Evolutionary Computation, in press, 2009.

Orriols, A., Casillas, J. Bernadó, E, Genetic-Based Machine Learning Systems are Competitive for Pattern Recognition, Evolutionary Intelligence, 1(3): 209-232, 2008.

Orriols, A., Bernadó, E, Evolutionary Rule-Based Systems for Imbalanced Datasets, Soft Computing, 13(3): 213-225, 2008.

Bernadó, E., Ho, T.K., Domain of Competence of XCS Classifier System in Complexity Measurement Space, IEEE Transactions on Evolutionary Computation, 9: 82-104, 2005.

Bernadó, E., Garrell, J.M., Accuracy-Based Learning Classifier Systems: Models, Analysis and Applications to Classification Tasks, Evolutionary Computation, 11(3): 209-238, 2003.

Garrell, J.M., Golobardes, E., Bernadó, E., Llorà, X, Automatic Diagnosis with Genetic Algorithms and Case-Based Reasoning, Artificial Intelligence in Engineering, 13 (4): 367-372, 1999.

Book chapters
Bull, L.; Bernadó-Mansilla, E.; Holmes, J., Learning Classifier Systems in Data Mining: An Introduction, in Learning Classifier Systems in Data Mining: Studies in Computational Intelligence, pages 1-16, Springer, 2008.

Bacardit, J., Bernadó-Mansilla, E., Butz, M., Learning Classifier Systems: Looking Back and Glimpsing Ahead, in Learning Classifiers Systems. 10th Int. Workshop. 11th Int. Workshop. Revised Selected Papers, LNAI 4998, 1-21, Springer, 2008.

Orriols-Puig, J.Casillas, and E.Bernadó-Mansilla. Approximate versus Linguistic Representation in Fuzzy-UCS. In Proceedings of the 2008 International Workshop on Hybrid Artificial Intelligence Systems (HAIS’08), LNAI, pages 722–729, Springer, ISSN 0302-9743, 2008.

Orriols-Puig, K. Sastry, D.E. Goldberg, E. Bernadó-Mansilla. Substructural Surrogates for Learning Decomposable Classification Problems. In Advances at the frontier of LCS, LNCS series, volume 4998, pages 235–254, Springer, 2008.

Orriols, A., Bernadó, E., Revisiting UCS: Description, Fitness Sharing and Comparison with XCS, Learning Classifier Systems. 10th Int. Workshop & 11th Int. Workshop. Revised Selected Papers. Lecture Notes in Artificial Intelligence LNAI 4998, pages 96-116, Springer, 2008.

Orriols, A., Sastry, K., Goldberg, D.E., Bernadó, E., Substructural Surrogates for Learning Decomposable Classification Problems: Implementation and First Results, Learning Classifier Systems. 10th Int. Workshop & 11th Int. Workshop. Revised Selected Papers. Lecture Notes in Artificial Intelligence LNAI 4998, pages 235-254, Springer, 2008.

Orriols, A., Casillas, J., Bernadó, E., Evolving Fuzzy Rules with UCS: Preliminary Results, Learning Classifier Systems. 10th Int. Workshop & 11th Int. Workshop. Revised Selected Papers. Lecture Notes in Artificial Intelligence LNAI 4998, pages 57-76, Springer, 2008.

Orriols-Puig, A, Casillas, J., Bernadó-Mansilla, E., A comparative study of several classifiers in supervised learning, Learning Classifier Systems in Data Mining: Studies in Fuzziness and Soft Computing, 125, page 205-230, 2008.

Orriols, A., Bernadó, E., Mining Imbalanced Data with Learning Classifier Systems, Learning Classifier Systems in Data Mining: Studies in Computational Intelligence, 125, pages 123-146, Springer, 2008.

Orriols, A., Bernadó, E., The Class Imbalance Problem in UCS Classifier System: A Preliminary Study, Lecture Notes in Computer Science, 4399: 164-183, Springer, 2007.

Bernadó, E., Llorà, X., Traus, I., Multiobjective Learning Classifier Systems, Multi-Objective Machine Learning, Studies in Computational Intelligence, 16: 261-288, Springer, 2006.

Ho, T.K., Bernadó, E., Classifier Domains of Competence in Data Complexity Space, Data Complexity in Pattern Recognition, 135-152, Springer, 2006.

Bernadó, E., Ho, T.K., Orriols, A., Data Complexity and Evolutionary Learning, Data Complexity in Pattern Recognition, 115-134, Springer, 2006.

Llorà, X, Goldberg, D.E., Traus, I., Bernadó, E, Accuracy, Parsimony, and Generality in Evolutionary Learning Systems via Multiobjective Selection, in Learning Classifier Systems, Lecture Notes in Artificial Intelligence, 2661: 118-142, Springer, 2002.

Bernadó, E., Llorà, X., Garrell, J.M., XCS and GALE: A comparative study of two learning classifier systems on data mining, Advances in Learning Classifier Sytems, Lecture Notes in Artificial Intelligence, 2321: 115-132, Springer, 2002.

Conferences
2008

• Casillas, J., Orriols-Puig, A., Bernadó-Mansilla, E., Toward Evolving Consistent, Complete, and Compact Fuzzy Rule Sets for Classification Problems, Genetic and Evolving Fuzzy Systems, pages 89-94, IEEE, 2008.
• Macià, N., Bernadó-Mansilla, E., Orriols-Puig,A., On the dimensions of data complexity through synthetic data sets, Frontiers in Artificial Intelligence and Applications, pages 244-252, IOS Press, 2008.
• Macià, N., Bernadó-Mansilla, E., Orriols-Puig, A., Preliminary approach on synthetic data sets generation for classification based on class separability measure, International Conference on Pattern Recognition, 2008.
• Macià, N., Orriols-Puig, A., Bernadó-Mansilla, E., Genetic-based synthetic data sets for the análisis of classifiers behavior, Proceedings of the Eight Hybrid Intelligent Systems Conference, pages 507-512, 2008.
• Morales, S., Orriols-Puig, A., Bernadó-Mansilla, E., New Crossover Operator for Evolutionary Rule Discovery in XCS, in Proceedings of the Eigth Hybrid Intelligent Systems Conference (HIS), pages 867-872, 2008.
• Morales, S., Orriols-Puig, A., Bernadó-Mansilla, E., Can evolution strategies improve learning guidance in XCS ? Design and comparison with genetic algorithms based XCS, In Recent Advances in Artificial Intelligence Research and Development, 253-261, IOS Press, 2008.
• Orriols-Puig, A., Casillas, J., Bernadó-Mansilla, E., Approximate versus linguistic representation in Fuzzy-UCS, Proceedings of the 2008 Int. Workshop on Hybrid Intelligent Systems (HAIS’08), pages 722-729, Springer, 2008.
• Orriols-Puig, A., Casillas, J., Bernadó-Mansilla, E., First approach toward on-line evolution of associatoin rules with learning classifier systems, Proceedings of the 2008 Genetic and Evolutionary Computation Conference Workshop Program, pages 2031-2038, ACM Press, 2008.
• Teixidó-Navarro, F., Orriols-Puig, A., Bernadó-Mansilla, E., Hierarchial evolution of linear regressors, Genetic and Evolutionary Computation Conference (GECCO’08), vo. 1, pages 1413-1420, 2008.

2007
• Orriols, A., Bernadó, E., Fuzzy-UCS: Preliminary Results, Tenth International Workshop on Learning Classifier Systems (IWLCS’2007), held at 2007 Genetic and Evolutionary Computation Conference, London, 2007.
• Orriols, A., Sastry, K., Goldberg, D.E., Bernadó, E., Substructural Surrogates for Learning Decomposable Classification Problems: Implementation and First Results, Tenth International Workshop on Learning Classifier Systems (IWLCS’2007), held at 2007 Genetic and Evolutionary Computation Confernce, London, 2007.
• Orriols, A., Goldberg, D.E., Sastry, K., Bernadó, E., Modeling XCS in Class Imbalances: Population Size and Parameter Settings, 2007 Genetic and Evolutionary Computation Conference, pages 1838-1845, London, 2007.
• Orriols, A., Sastry, K., Lanzi, P.L., Goldberg, D.E., Bernadó, E., Modeling Selection Pressure in XCS for Proportionate and Tournament Selection, 2007 Genetic and Evolutionary Computation Conference, pages 1846-1853, London, 2007.
• Alsina, R., Socoró, J.C., Formiga, L., Bernadó, E., Multiobjective Evolution Strategies for DS-CDMA Pseudonoise Sequence Design in a Multiresolution Acquisition, in Proceedings of the Desè Congrés Internacional de l’Associació Catalana d’Intel.ligència Artificial (CCIA’07), in press, 2007.
• Bernadó, E., Macià, N., Modeling Problem Transformations based on Data Complexity, in Frontiers in Artificial Intelligence and Applications, Vol. 163, pages 133-140, IOS Press, 2007.
• Cano, J.R., García, S., Herrera, F., Bernadó, E., Analysis of Evolutionary Prototype Selection by means of a Data Complexity Measure based on Class Separability, IV Taller Nacional de Minería de Datos y Aprendizaje (TAMIDA’2007), pages , Zaragoza, Spain, 2007.
• Macià, N., Bernadó, E., Fornells, A., Golobardes, E., Martorell, J., Garrell, J.M., Revisión sobre métricas de complejidad en el modelado de clústers de un sistema CBR, IV Taller Nacional de Minería de Datosy y Aprendizaje (TAMIDA’2007), pages 21-38, Zaragoza, Spain, 2007.
• Teixidó, F., Bernadó, E., Evolución de modelos jerárquicos de reglas en problemas anidados y no anidados, I Jornadas sobre Algoritmos Evolutivos y Metaheurísticas (JAEM’07), Congreso Español de Informática, Zaragoza, Spain, 2007.
• Orriols, A., Casillas, J., Bernadó, E., Aprendizaje Supervisado de Reglas Difusas mediante un Sistema Clasificador Evolutivo Estilo Michigan, I Jornadas sobre Algoritmos Evolutivos y Metaheurísticas (JAEM’07), Congreso Español de Informática, pages 171-178, Zaragoza, Spain, 2007.
• Fornells, A., Golobardes, E., Martorell, J., Garrell, J.M., Macià, N., Bernadó, E., A Methodology for Analyzing the Case Retrieval from a Clustered Case Memory, 7th International Conference on Case-Based Reasoning, Belfast, 2007.
• Fornells, A., Golobardes, E., Martorell, J., Garrell, J.M., Bernadó, E., Macià, N., Measuring the Applicability of Self-Organization Maps into Case-Based Reasoning, 3rd Iberian Conference on Pattern Recognition and Image Analysis, Girona, Spain, 2007.
2006
• Orriols, A., Bernadó, E., Bounding XCS’s Parameters for Unbalanced Datasets, 2006 Genetic and Evolutionary Computation Conference, 2: 1561-1568, Seattle, USA, 2006.
• Orriols, A., Bernadó, E., A Further Look at UCS Classifier System, IX International Workshop on Learning Classifier Systems, Workshop Program of 2006 Genetic and Evolutionary Computation Conference, Seatlle, USA, 2006.
• Fornells, A., Golobardes, E., Bernadó, E., Decision Support System for the Breast Cancer Diagnosis by a Meta-learning Approach based on Grammar Evolution, 8th International Conference on Enterprise Information Systems –ICEIS 2006-, 233: 222-229, Paphos, Greece, 2006.
2005
• Orriols, A., Bernadó, E., The Class Imbalance Problem in UCS Classifier System: Fitness Adaptation, Proceedings of the 2005 Congress on Evolutionary Computation, 1:604-611, Edinburgh, UK, 2005.
• Alsina, R., Bernadó, E., Morán, J.A., Evolution Strategies for DS-CDMA Pseudonoise Sequence Design, Catalan Conference on Artificial Intelligence, Frontiers in Artificial Intelligence and Applications, 131: 189-196, 2005.
2004
• Bernadó, E., Ho, T.K., On Classifier Domains of Competence, Proceedings of the 17th International Conference on Pattern Recognition, 1: 136-139, Cambridge, UK, 2004.
• Orriols, A., Bernadó, E., Analysis of Reduction Algorithms in XCS Classifer System, Catalan Conference on Artificial Intelligence, Recent Advances in Artificial Intelligence Research and Development, IOS Press, 113(1):383-390, 2004.
• Bernadó, E., Complejidad del Aprendizaje y Muestreo de Ejemplos en Sistemas Clasificadores, Tercer Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, (MAEB’2004), 203-210, Córdoba, Spain, 2004.
2002
• Garrell, J.M., Golobardes, E., Bernadó, E., Llorà, X., Salamó, M., Camps, J., Vernet, D., Bacardit, J., Vallespí, C., Corral, G., Zaballos, A., Rios, J., Aprendizaje Artificial en Sistemas de Clasificación, Predicción y Diagnóstico Automático, Proceedings del Workshop de Minería de Datos y Aprendizaje, VIII Iberoamerican Conference on Artificial Intelligence IBERAMIA’2002, 127-136, 2002.
• Llorà, X., Goldberg, D.E., Traus, I., Bernadó, E., Accuracy, Parsimony, and Generality in Evolutionary Learning Systems via Multiobjective Selection, Fifth International Workshop on Learning Classifier Systems, June 2002.
2001
• Bernadó, E., Llorà, X., Garrell, J.M., XCS and GALE: a Comparative Study of Two Learning Classifier Systems with Six Other Learning Algorithms on Classification Tasks, in Fourth International Workshop on Learning Classifier Systems (IWLCS-2001), held at GECCO’2001, pages 337-341. San Francisco, 2001.
• Bernadó, E., Llorà, X., Garrell, J.M., Anàlisi de l’Avaluació Incremental i de l’Aplicació Eficient d’un Algorisme Genètic en un Sistema Classificador, in Proceedings of 4t Congrés Català d’Intel.ligència Artificial. Butlletí de l’ACIA, pages 77-84. Barcelona, 2001.
• Golobardes, E., Martí,J., Espanyol,J., Salamó,M., Freixenet,J., Llorà, X., Maroto,L., Bernadó,E., Classifying Microcalcifications in Digital Mammograms using Machine Learning techniques” in Proceedings of the 4t Congrés Català d’Intel.ligència Artificial. Butlletí de l’ACIA, pages 92-99. Barcelona, 2001.
• Salamó, M. Camps,J., Vallespí,C., Vernet,D., Llorà,X., Bernadó,E., Garrell,J.M., González,X., “¿Cómo incentivar a los alumnos?,” VII Jornadas de la Enseñanza Universitaria de la Informática, JENUI’2001, 329-335, Universitat de les Illes Balears, Mallorca, 2001.
• Bernadó,E., Garrell, J.M., MOLeCS: Using Multiobjective Evolutionary Algorithms for Learning, First International Conference on Evolutionary Multi-Criterion Optimization, pages 696-710. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.
2000
• Bernadó, E., Garrell, J.M., MultiObjective Learning in a Genetic Classifier System (MOLeCS), in Proceedings of the 3r Congrés Català d’Intel.ligència Artificial CCIA’2000. Butlletí de l’ACIA, 22, pages 102-111. Vilanova i La Geltrú, October 2000.
• Golobardes,E., Bernadó,E., Llorà,X., Garrell,J.M, Salamó,M., Camps,J. Vernet,D., Introducción a las técnicas de aprendizaje automático (parte I): estructuración de un curso docente, VI Jornadas sobre la Enseñanza Universitaria de la Informática, Jenui, 2000. Volume 1, pages 254-260, 2000.
• Llorà,X., Golobardes,E., Bernadó,E., Garrell,J.M, Salamó,M., Camps,J., Vernet,D., Introducción a las técnicas de aprendizaje automático (parte II): entorno de competición, VI Jornadas sobre la Enseñanza Universitaria de la Informática, Jenui, 2000. Volume 1, pages 261-267, 2000.
• Bernadó,E., Garrell,J.M, MOLeCS: A MultiObjective Learning Classifier System, in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO’2000), page 390. Las Vegas, July, 2000.
1999
• Garrell,J.M, Mela,C., Llorà,X., Bernadó,E., Golobardes,E., Calzada,G., Salamó,M., Camps,J., “Revisió de diferents mecanismes de selecció en els algorismes genètics: consideracions de rendiment,” 2n Congrés Català d’Intel.ligència Artificial (CCIA’99). Butlletí de l’ACIA, volume 18-19, pages 78-85. Girona, October 1999.
• Bernadó,E., Mekaouche,A., Garrell,J.M, “A Study of a Genetic Classifier System Based on the Pittsburgh Approach on a Medical Domain,” Proceedings of the 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE99. Multiple Approaches to Intelligent Systems, volume 1611, pages 175-184, Springer. June, 1999.
1998
• Llorà, X., Garrell, J.M., Bernadó.E., “Sistemes Classificadors basats en Algorismes Genètics amb enfocament de Pittsburgh per problemes amb atributs reals,” 1r Congrés Català d’Intel.ligència Artificial (CCIA’98). Butlletí de l’ACIA, volume 14-15, pages 85-93. Tarragona, October, 1998.
• Bernadó,E., Garrell,J.M., Román,M., Salamó,M., Camps,J., Abella,J., Introducción a la programación en el ámbito de diversas ingenierías, in Proceedings de las IV Jornadas de Enseñanza Universitaria de la Informática, volume 1, pages 435-442, La Salle School of Engineering, Barcelona, July 1998.
• Garrell, J.M, Golobardes,E., Bernadó,E., Llorà,X., “Automatic Classification of Mammary Biopsy Images with Machine Learning Techniques,” Proceedings of Engineering of Intelligent Systems (EIS’98), volume 3, pages 411-418, ICSC Academic Press. February, 1998.