Ester Bernadó-Mansilla - researchr alias

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Viewing Publication 1 - 38 from 38

2020

Beyond Creativity: Reflection and Practice of Imagination with Students of Technical UniversitiesSimona Chiodo, Viola Schiaffonati, Margherita Arcangeli, Ester Bernadó-Mansilla. educon 2020: 1225-1229 [doi]

2014

Towards UCI+: A mindful repository designNúria Macià, Ester Bernadó-Mansilla. isci, 261:237-262, 2014. [doi]

2013

Learner excellence biased by data set selection: A case for data characterisation and artificial data setsNúria Macià, Ester Bernadó-Mansilla, Albert Orriols-Puig, Tin Kam Ho. PR, 46(3):1054-1066, 2013. [doi]

2010

2009

2008

Learning Classifier Systems in Data Mining: An IntroductionLarry Bull, Ester Bernadó-Mansilla, John H. Holmes. In Larry Bull, Ester Bernadó-Mansilla, John H. Holmes, editors, Learning Classifier Systems in Data Mining. Volume 125 of Studies in Computational Intelligence, pages 1-15, Springer, 2008. [doi]

Toward evolving consistent, complete, and compact fuzzy rule sets for classification problemsJorge Casillas, Albert Orriols-Puig, Ester Bernadó-Mansilla. gefs 2008: 89-94 [doi]

Preliminary approach on synthetic data sets generation based on class separability measureNúria Macià, Ester Bernadó-Mansilla, Albert Orriols-Puig. icpr 2008: 1-4 [doi]

On the Dimensions of Data Complexity through Synthetic Data SetsNúria Macià, Ester Bernadó-Mansilla, Albert Orriols-Puig. ccia 2008: 244-252 [doi]

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

Mining Imbalanced Data with Learning Classifier SystemsAlbert Orriols-Puig, Ester Bernadó-Mansilla. In Larry Bull, Ester Bernadó-Mansilla, John H. Holmes, editors, Learning Classifier Systems in Data Mining. Volume 125 of Studies in Computational Intelligence, pages 123-145, Springer, 2008. [doi]

A Comparative Study of Several Genetic-Based Supervised Learning SystemsAlbert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla. In Larry Bull, Ester Bernadó-Mansilla, John H. Holmes, editors, Learning Classifier Systems in Data Mining. Volume 125 of Studies in Computational Intelligence, pages 205-230, Springer, 2008. [doi]

Genetic-based machine learning systems are competitive for pattern recognitionAlbert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla. evi, 1(3):209-232, 2008. [doi]

First approach toward on-line evolution of association rules with learning classifier systemsAlbert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla. gecco 2008: 2031-2038 [doi]

Approximate Versus Linguistic Representation in Fuzzy-UCSAlbert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla. HAIS 2008: 722-729 [doi]

Hierarchical evolution of linear regressorsFrancesc Teixidó-Navarro, Albert Orriols-Puig, Ester Bernadó-Mansilla. gecco 2008: 1413-1420 [doi]

2007

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

Learning Classifier Systems: Looking Back and Glimpsing AheadJaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz. iwlcs 2008: 1-21 [doi]

Modeling Problem Transformations based on Data ComplexityEster Bernadó-Mansilla, Núria Macià-Antolínez. ccia 2007: 133-140

Substructrual surrogates for learning decomposable classification problems: implementation and first resultsAlbert Orriols-Puig, Ester Bernadó-Mansilla, Kumara Sastry, David E. Goldberg. gecco 2007: 2875-2882 [doi]

Modeling XCS in class imbalances: population size and parameter settingsAlbert Orriols-Puig, David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla. gecco 2007: 1838-1845 [doi]

Substructural Surrogates for Learning Decomposable Classification ProblemsAlbert Orriols-Puig, Kumara Sastry, David E. Goldberg, Ester Bernadó-Mansilla. iwlcs 2008: 235-254 [doi]

Revisiting UCS: Description, Fitness Sharing, and Comparison with XCSAlbert Orriols-Puig, Ester Bernadó-Mansilla. iwlcs 2008: 96-116 [doi]

Fuzzy-UCS: preliminary resultsAlbert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla. gecco 2007: 2871-2874 [doi]

Evolving Fuzzy Rules with UCS: Preliminary ResultsAlbert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla. iwlcs 2008: 57-76 [doi]

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

2006

Bounding XCS s parameters for unbalanced datasetsAlbert Orriols-Puig, Ester Bernadó-Mansilla. gecco 2006: 1561-1568 [doi]

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