Ester Bernadó-Mansilla

45 papers A 6B 2C 3Misc 2Journal 10Unranked 16

Year	Rank	Type	Title / Venue / Authors
2020	C	`conf`	Beyond Creativity: Reflection and Practice of Imagination with Students of Technical Universities. EDUCON Simona Chiodo, Viola Schiaffonati, Margherita Arcangeli, Ester Bernadó-Mansilla
2014	J	`jnl`	Towards UCI+: A mindful repository design. Inf. Sci. Núria Macià, Ester Bernadó-Mansilla
2013	J	`jnl`	Learner excellence biased by data set selection: A case for data characterisation and artificial data sets. Pattern Recognit. Núria Macià, Ester Bernadó-Mansilla, Albert Orriols-Puig, Tin Kam Ho
2010	J	`jnl`	Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study. IEEE Trans. Evol. Comput. Alberto Fernández, Salvador García, Julián Luengo, Ester Bernadó-Mansilla, Francisco Herrera
2010	A	`conf`	In search of targeted-complexity problems. GECCO Núria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla
2010	—	`ed.`	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 IWLCS Jaume Bacardit, Will N. Browne, Jan Drugowitsch, Ester Bernadó-Mansilla, Martin V. Butz
2010	—	`conf`	The Landscape Contest at ICPR 2010. ICPR Contests Núria Macià, Tin Kam Ho, Albert Orriols-Puig, Ester Bernadó-Mansilla
2009	J	`jnl`	Analysis and improvement of the genetic discovery component of XCS. Int. J. Hybrid Intell. Syst. Sergio Morales-Ortigosa, Albert Orriols-Puig, Ester Bernadó-Mansilla
2009	Misc	`conf`	Beyond Homemade Artificial Data Sets. HAIS Núria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla
2009	J	`jnl`	Diagnose Effective Evolutionary Prototype Selection Using an Overlapping Measure. Int. J. Pattern Recognit. Artif. Intell. Salvador García, José Ramón Cano, Ester Bernadó-Mansilla, Francisco Herrera
2009	A	`conf`	EMO shines a light on the holes of complexity space. GECCO Núria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla
2009	J	`jnl`	Evolutionary rule-based systems for imbalanced data sets. Soft Comput. Albert Orriols-Puig, Ester Bernadó-Mansilla
2009	J	`jnl`	Facetwise Analysis of XCS for Problems With Class Imbalances. IEEE Trans. Evol. Comput. Albert Orriols-Puig, Ester Bernadó-Mansilla, David E. Goldberg, Kumara Sastry, Pier Luca Lanzi
2009	J	`jnl`	Fuzzy-UCS: A Michigan-Style Learning Fuzzy-Classifier System for Supervised Learning. IEEE Trans. Evol. Comput. Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla
2008	—	`ch.`	A Comparative Study of Several Genetic-Based Supervised Learning Systems. Learning Classifier Systems in Data Mining Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla
2008	Misc	`conf`	Approximate Versus Linguistic Representation in Fuzzy-UCS. HAIS Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla
2008	—	`conf`	Can Evolution Strategies Improve Learning Guidance in XCS? Design and Comparison with Genetic Algorithms based XCS. CCIA Sergio Morales-Ortigosa, Albert Orriols-Puig, Ester Bernadó-Mansilla
2008	—	`conf`	First approach toward on-line evolution of association rules with learning classifier systems. GECCO (Companion) Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla
2008	C	`conf`	Genetic-Based Synthetic Data Sets for the Analysis of Classifiers Behavior. HIS Núria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla
2008	J	`jnl`	Genetic-based machine learning systems are competitive for pattern recognition. Evol. Intell. Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla
2008	A	`conf`	Hierarchical evolution of linear regressors. GECCO Francesc Teixidó-Navarro, Albert Orriols-Puig, Ester Bernadó-Mansilla
2008	—	`book`	Learning Classifier Systems in Data Mining Learning Classifier Systems in Data Mining Larry Bull, Ester Bernadó-Mansilla, John H. Holmes
2008	—	`ch.`	Learning Classifier Systems in Data Mining: An Introduction. Learning Classifier Systems in Data Mining Larry Bull, Ester Bernadó-Mansilla, John H. Holmes
2008	—	`ed.`	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 IWLCS Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz, Tim Kovacs, Xavier Llorà, Keiki Takadama
2008	—	`ch.`	Mining Imbalanced Data with Learning Classifier Systems. Learning Classifier Systems in Data Mining Albert Orriols-Puig, Ester Bernadó-Mansilla
2008	C	`conf`	New Crossover Operator for Evolutionary Rule Discovery in XCS. HIS Sergio Morales-Ortigosa, Albert Orriols-Puig, Ester Bernadó-Mansilla
2008	—	`conf`	On the Dimensions of Data Complexity through Synthetic Data Sets. CCIA Núria Macià, Ester Bernadó-Mansilla, Albert Orriols-Puig
2008	B	`conf`	Preliminary approach on synthetic data sets generation based on class separability measure. ICPR Núria Macià, Ester Bernadó-Mansilla, Albert Orriols-Puig
2008	—	`conf`	Toward evolving consistent, complete, and compact fuzzy rule sets for classification problems. GEFS Jorge Casillas, Albert Orriols-Puig, Ester Bernadó-Mansilla
2007	—	`conf`	Evolving Fuzzy Rules with UCS: Preliminary Results. IWLCS Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla
2007	—	`conf`	Fuzzy-UCS: preliminary results. GECCO (Companion) Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla
2007	—	`conf`	Learning Classifier Systems: Looking Back and Glimpsing Ahead. IWLCS Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz
2007	—	`conf`	Modeling Problem Transformations based on Data Complexity. CCIA Ester Bernadó-Mansilla, Núria Macià-Antolínez
2007	A	`conf`	Modeling XCS in class imbalances: population size and parameter settings. GECCO Albert Orriols-Puig, David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla
2007	A	`conf`	Modeling selection pressure in XCS for proportionate and tournament selection. GECCO Albert Orriols-Puig, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, Ester Bernadó-Mansilla
2007	—	`conf`	Multiobjective Evolutionary Algorithm for DS-CDMA Pseudonoise Sequence Design in a Multiresolutive Acquisition. CCIA Rosa Maria Alsina, Lluís Formiga Fanals, Joan Claudi Socoró, Ester Bernadó-Mansilla
2007	—	`conf`	Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS. IWLCS Albert Orriols-Puig, Ester Bernadó-Mansilla
2007	—	`conf`	Substructrual surrogates for learning decomposable classification problems: implementation and first results. GECCO (Companion) Albert Orriols-Puig, Ester Bernadó-Mansilla, Kumara Sastry, David E. Goldberg
2007	—	`conf`	Substructural Surrogates for Learning Decomposable Classification Problems. IWLCS Albert Orriols-Puig, Kumara Sastry, David E. Goldberg, Ester Bernadó-Mansilla
2006	A	`conf`	Bounding XCS's parameters for unbalanced datasets. GECCO Albert Orriols-Puig, Ester Bernadó-Mansilla
2005	B	`conf`	Class imbalance problem in UCS classifier system: fitness adaptation. Congress on Evolutionary Computation Albert Orriols-Puig, Ester Bernadó-Mansilla
2005	J	`jnl`	Domain of competence of XCS classifier system in complexity measurement space. IEEE Trans. Evol. Comput. Ester Bernadó-Mansilla, Tin Kam Ho
2005	—	`conf`	Evolution Strategies for DS-CDMA Pseudonoise Sequence Design. CCIA Rosa Maria Alsina, Ester Bernadó-Mansilla, Jose Antonio Morán
2005	—	`conf`	The Class Imbalance Problem in UCS Classifier System: A Preliminary Study. IWLCS Albert Orriols-Puig, Ester Bernadó-Mansilla
2005	—	`conf`	The class imbalance problem in learning classifier systems: a preliminary study. GECCO Workshops Albert Orriols-Puig, Ester Bernadó-Mansilla