Ester Bernadó-Mansilla

Núria Macià, Ester Bernadó-Mansilla, Albert Orriols-Puig, Tin Kam Ho: Learner excellence biased by data set selection: A case for data characterisation and artificial data sets. Pattern Recognition 46(3): 1054-1066 (2013)

Alberto Fernández, Salvador García, Julián Luengo, Ester Bernadó-Mansilla, Francisco Herrera: Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study. IEEE Trans. Evolutionary Computation 14(6): 913-941 (2010)

Núria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla: In search of targeted-complexity problems. GECCO 2010: 1055-1062

Núria Macià, Tin Kam Ho, Albert Orriols-Puig, Ester Bernadó-Mansilla: The Landscape Contest at ICPR 2010. ICPR Contests 2010: 29-45

Jaume Bacardit, Will N. Browne, Jan Drugowitsch, Ester Bernadó-Mansilla, Martin V. Butz (Eds.): Learning Classifier Systems - 11th International Workshop, IWLCS 2008, Atlanta, GA, USA, July 13, 2008, and 12th International Workshop, IWLCS 2009, Montreal, QC, Canada, July 9, 2009, Revised Selected Papers. Lecture Notes in Computer Science 6471, Springer 2010, isbn 978-3-642-17507-7

Sergio Morales-Ortigosa, Albert Orriols-Puig, Ester Bernadó-Mansilla: Analysis and improvement of the genetic discovery component of XCS. Int. J. Hybrid Intell. Syst. 6(2): 81-95 (2009)

Salvador García, José Ramón Cano, Ester Bernadó-Mansilla, Francisco Herrera: Diagnose Effective Evolutionary Prototype Selection Using an Overlapping Measure. IJPRAI 23(8): 1527-1548 (2009)

Albert Orriols-Puig, Ester Bernadó-Mansilla: Evolutionary rule-based systems for imbalanced data sets. Soft Comput. 13(3): 213-225 (2009)

Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla: Fuzzy-UCS: A Michigan-Style Learning Fuzzy-Classifier System for Supervised Learning. IEEE Trans. Evolutionary Computation 13(2): 260-283 (2009)

Albert Orriols-Puig, Ester Bernadó-Mansilla, David E. Goldberg, Kumara Sastry, Pier Luca Lanzi: Facetwise Analysis of XCS for Problems With Class Imbalances. IEEE Trans. Evolutionary Computation 13(5): 1093-1119 (2009)

Núria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla: EMO shines a light on the holes of complexity space. GECCO 2009: 1907-1908

Núria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla: Beyond Homemade Artificial Data Sets. HAIS 2009: 605-612

Larry Bull, Ester Bernadó-Mansilla, John H. Holmes (Eds.): Learning Classifier Systems in Data Mining. Studies in Computational Intelligence 125, Springer 2008, isbn 978-3-540-78978-9

Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla: Genetic-based machine learning systems are competitive for pattern recognition. Evolutionary Intelligence 1(3): 209-232 (2008)

Núria Macià, Ester Bernadó-Mansilla, Albert Orriols-Puig: On the Dimensions of Data Complexity through Synthetic Data Sets. CCIA 2008: 244-252

Sergio Morales-Ortigosa, Albert Orriols-Puig, Ester Bernadó-Mansilla: Can Evolution Strategies Improve Learning Guidance in XCS? Design and Comparison with Genetic Algorithms based XCS. CCIA 2008: 253-261

Francesc Teixidó-Navarro, Albert Orriols-Puig, Ester Bernadó-Mansilla: Hierarchical evolution of linear regressors. GECCO 2008: 1413-1420

Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla: First approach toward on-line evolution of association rules with learning classifier systems. GECCO (Companion) 2008: 2031-2038

Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla: Approximate Versus Linguistic Representation in Fuzzy-UCS. HAIS 2008: 722-729

Núria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla: Genetic-Based Synthetic Data Sets for the Analysis of Classifiers Behavior. HIS 2008: 507-512

Sergio Morales-Ortigosa, Albert Orriols-Puig, Ester Bernadó-Mansilla: New Crossover Operator for Evolutionary Rule Discovery in XCS. HIS 2008: 867-872

Núria Macià, Ester Bernadó-Mansilla, Albert Orriols-Puig: Preliminary approach on synthetic data sets generation based on class separability measure. ICPR 2008: 1-4

Larry Bull, Ester Bernadó-Mansilla, John H. Holmes: Learning Classifier Systems in Data Mining: An Introduction. Learning Classifier Systems in Data Mining 2008: 1-15

Albert Orriols-Puig, Ester Bernadó-Mansilla: Mining Imbalanced Data with Learning Classifier Systems. Learning Classifier Systems in Data Mining 2008: 123-145

Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla: A Comparative Study of Several Genetic-Based Supervised Learning Systems. Learning Classifier Systems in Data Mining 2008: 205-230

Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz, Tim Kovacs, Xavier Llorà, Keiki Takadama (Eds.): Learning Classifier Systems, 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers. Lecture Notes in Computer Science 4998, Springer 2008, isbn 978-3-540-88137-7

Ester Bernadó-Mansilla, Núria Macià-Antolínez: Modeling Problem Transformations based on Data Complexity. CCIA 2007: 133-140

Rosa Maria Alsina, Lluís Formiga Fanals, Joan Claudi Socoró, Ester Bernadó-Mansilla: Multiobjective Evolutionary Algorithm for DS-CDMA Pseudonoise Sequence Design in a Multiresolutive Acquisition. CCIA 2007: 384-391

Albert Orriols-Puig, David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla: Modeling XCS in class imbalances: population size and parameter settings. GECCO 2007: 1838-1845

Albert Orriols-Puig, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, Ester Bernadó-Mansilla: Modeling selection pressure in XCS for proportionate and tournament selection. GECCO 2007: 1846-1853

Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla: Fuzzy-UCS: preliminary results. GECCO (Companion) 2007: 2871-2874

Albert Orriols-Puig, Ester Bernadó-Mansilla, Kumara Sastry, David E. Goldberg: Substructrual surrogates for learning decomposable classification problems: implementation and first results. GECCO (Companion) 2007: 2875-2882

Albert Fornells, Elisabet Golobardes, Josep Maria Martorell, Josep Maria Garrell i Guiu, Ester Bernadó i Mansilla, Núria Macià: Measuring the Applicability of Self-organization Maps in a Case-Based Reasoning System. IbPRIA (2) 2007: 532-539

Albert Fornells, Elisabet Golobardes, Josep Maria Martorell, Josep Maria Garrell i Guiu, Núria Macià, Ester Bernadó i Mansilla: A Methodology for Analyzing Case Retrieval from a Clustered Case Memory. ICCBR 2007: 122-136

Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz: Learning Classifier Systems: Looking Back and Glimpsing Ahead. IWLCS 2007: 1-21

Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla: Evolving Fuzzy Rules with UCS: Preliminary Results. IWLCS 2007: 57-76

Albert Orriols-Puig, Ester Bernadó-Mansilla: Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS. IWLCS 2007: 96-116

Albert Orriols-Puig, Kumara Sastry, David E. Goldberg, Ester Bernadó-Mansilla: Substructural Surrogates for Learning Decomposable Classification Problems. IWLCS 2007: 235-254

Albert Orriols-Puig, Ester Bernadó-Mansilla: Bounding XCS's parameters for unbalanced datasets. GECCO 2006: 1561-1568

Albert Fornells-Herrera, Elisabet Golobardes i Ribé, Ester Bernadó i Mansilla, Joan Martí Bonmatí: Decision Support System for Breast Cancer Diagnosis by a Meta-Learning Approach Based on Grammar Evolution. ICEIS (2) 2006: 222-229

Ester Bernadó i Mansilla, Xavier Llorà, Ivan Traus: Multi-objective Learning Classifier Systems. Multi-Objective Machine Learning 2006: 261-288

Ester Bernadó-Mansilla, Tin Kam Ho: Domain of competence of XCS classifier system in complexity measurement space. IEEE Trans. Evolutionary Computation 9(1): 82-104 (2005)

Rosa Maria Alsina, Ester Bernadó-Mansilla, Jose Antonio Morán: Evolution Strategies for DS-CDMA Pseudonoise Sequence Design. CCIA 2005: 189-196

Albert Orriols-Puig, Ester Bernadó-Mansilla: Class imbalance problem in UCS classifier system: fitness adaptation. Congress on Evolutionary Computation 2005: 604-611

Albert Orriols-Puig, Ester Bernadó-Mansilla: The class imbalance problem in learning classifier systems: a preliminary study. GECCO Workshops 2005: 74-78

Albert Orriols-Puig, Ester Bernadó-Mansilla: The Class Imbalance Problem in UCS Classifier System: A Preliminary Study. IWLCS 2005: 161-180

Ester Bernadó i Mansilla, Tin Kam Ho: On Classifier Domains of Competence. ICPR (1) 2004: 136-139

Ester Bernadó i Mansilla, Josep Maria Garrell i Guiu: Accuracy-Based Learning Classifier Systems: Models, Analysis and Applications to Classification Tasks. Evolutionary Computation 11(3): 209-238 (2003)

Xavier Llorà, David E. Goldberg, Ivan Traus, Ester Bernadó i Mansilla: Accuracy, Parsimony, and Generality in Evolutionary Learning Systems via Multiobjective Selection. IWLCS 2002: 118-142

Ester Bernadó i Mansilla, Josep Maria Garrell i Guiu: MOLeCS: Using Multiobjective Evolutionary Algorithms for Learning. EMO 2001: 696-710

Ester Bernadó i Mansilla, Xavier Llorà, Josep Maria Garrell i Guiu: XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining. IWLCS 2001: 115-132

Ester Bernadó i Mansilla, Josep Maria Garrell i Guiu: MOLeCS: A MultiObjective Learning Classifier System. GECCO 2000: 390

Josep Maria Garrell i Guiu, Elisabet Golobardes i Ribé, Ester Bernadó i Mansilla, Xavier Llorà: Automatic diagnosis with genetic algorithms and case-based reasoning. AI in Engineering 13(4): 367-372 (1999)

Ester Bernadó i Mansilla, Abdelouahab Mekaouche, Josep Maria Garrell i Guiu: A Study of a Genetic Classifier System Based on the Pittsburgh Approach on a Medical Domain. IEA/AIE 1999: 175-184