Search results for "Jaume Bacardit"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Jaume Bacardit, Gualberto Asencio Cortés, Cosme Ernesto Santiesteban Toca	A NSGA-II Algorithm for the Residue-Residue Contact Prediction.	EvoBIO	2012	DBLP DOI BibTeX RDF
1	María A. Franco, Natalio Krasnogor, Jaume Bacardit	Modelling the initialisation stage of the ALKR representation for discrete domains and GABIL encoding.	GECCO	2011	DBLP DOI BibTeX RDF
1	Jaume Bacardit, Xavier Llorà	Large scale data mining using genetics-based machine learning.	GECCO (Companion)	2011	DBLP DOI BibTeX RDF
1	Jaume Bacardit, Xavier Llorà	Guest Editorial: Thematic Issue on 'Metaheuristics for large scale data mining'.	Memetic Computing	2010	DBLP DOI BibTeX RDF
1	Robert Elliott Smith, Max Kun Jiang, Jaume Bacardit, Michael Stout, Natalio Krasnogor, Jonathan D. Hirst	A learning classifier system with mutual-information-based fitness.	Evolutionary Intelligence	2010	DBLP DOI BibTeX RDF
1	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	IWLCS	2010	DBLP DOI BibTeX RDF
1	María A. Franco, Natalio Krasnogor, Jaume Bacardit	Speeding up the evaluation of evolutionary learning systems using GPGPUs.	GECCO	2010	DBLP DOI BibTeX RDF	evolutionary algorithms, gpgpus, learning classifier systems, rule induction, large-scale datasets
1	María A. Franco, Natalio Krasnogor, Jaume Bacardit	Analysing bioHEL using challenging boolean functions.	GECCO (Companion)	2010	DBLP DOI BibTeX RDF	evolutionary algorithms, learning classifier systems, rule induction, large-scale datasets
1	Pawel Widera, Jaume Bacardit, Natalio Krasnogor, Carlos García-Martínez, Manuel Lozano	Evolutionary symbolic discovery for bioinformatics, systems and synthetic biology.	GECCO (Companion)	2010	DBLP DOI BibTeX RDF	genetic rogramming, data mining, modeling, optimisation, systems biology, protein structure, p systems, synthetic biology, evolutionary search
1	Jaume Bacardit, Edmund K. Burke, Natalio Krasnogor	Improving the scalability of rule-based evolutionary learning.	Memetic Computing	2009	DBLP DOI BibTeX RDF	Evolutionary algorithms, Bioinformatics, Learning classifier systems, Rule induction, Protein structure prediction, Evolutionary learning
1	Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Alfonso Valencia, Robert Elliott Smith, Natalio Krasnogor	Automated Alphabet Reduction for Protein Datasets.	BMC Bioinformatics	2009	DBLP DOI BibTeX RDF
1	Jesús Alcalá-Fdez, Luciano Sánchez, Salvador García, María José del Jesús, Sebastián Ventura, Josep Maria Garrell i Guiu, José Otero, Cristóbal Romero, Jaume Bacardit, Víctor M. Rivas, Juan Carlos Fernández, Francisco Herrera	KEEL: a software tool to assess evolutionary algorithms for data mining problems.	Soft Comput.	2009	DBLP DOI BibTeX RDF	Computer-based education, Data mining, Java, Machine learning, Evolutionary computation, Experimental design, Knowledge extraction, Graphical programming
1	Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Robert Elliott Smith, Natalio Krasnogor	Prediction of topological contacts in proteins using learning classifier systems.	Soft Comput.	2009	DBLP DOI BibTeX RDF
1	Jaume Bacardit, Natalio Krasnogor	Performance and Efficiency of Memetic Pittsburgh Learning Classifier Systems.	Evolutionary Computation	2009	DBLP DOI BibTeX RDF
1	Jaume Bacardit, Natalio Krasnogor	A mixed discrete-continuous attribute list representation for large scale classification domains.	GECCO	2009	DBLP DOI BibTeX RDF	evolutionary algorithms, learning classifier systems, rule induction, large-scale datasets
1	Jaume Bacardit, Xavier Llorà	Large scale data mining using genetics-based machine learning.	GECCO (Companion)	2009	DBLP DOI BibTeX RDF	parallel computing, evolutionary algorithms, data-intensive computing, genetics-based machine learning, efficiency enhancement, large-scale datasets
1	Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Natalio Krasnogor	Prediction of recursive convex hull class assignments for protein residues.	Bioinformatics	2008	DBLP DOI BibTeX RDF
1	Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Natalio Krasnogor	Data Mining in Proteomics with Learning Classifier Systems.	Learning Classifier Systems in Data Mining	2008	DBLP DOI BibTeX RDF
1	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	IWLCS	2008	DBLP BibTeX RDF
1	Maximiliano Tabacman, Natalio Krasnogor, Jaume Bacardit, Irene Loiseau	Learning classifier systems for optimisation problems: a case study on fractal travelling salesman problem.	GECCO (Companion)	2008	DBLP DOI BibTeX RDF	optimization, machine learning, traveling-salesman-problem, learning-classifier-systems
1	Jaume Bacardit, Natalio Krasnogor	Fast rule representation for continuous attributes in genetics-based machine learning.	GECCO	2008	DBLP DOI BibTeX RDF	fast rule representation, large datasets, genetics-based machine learning
1	Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Kumara Sastry, Xavier Llorà, Natalio Krasnogor	Automated alphabet reduction method with evolutionary algorithms for protein structure prediction.	GECCO	2007	DBLP DOI BibTeX RDF	alphabet reduction, coordination number prediction, evolutionary algorithms, bioinformatics, learning classifier systems, estimation of distribution algorithms, rule induction, protein structure prediction
1	Jaume Bacardit, Natalio Krasnogor	Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System.	IWLCS	2007	DBLP DOI BibTeX RDF
1	Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz	Learning Classifier Systems: Looking Back and Glimpsing Ahead.	IWLCS	2007	DBLP DOI BibTeX RDF
1	Jaume Bacardit, Michael Stout, Natalio Krasnogor, Jonathan D. Hirst, Jacek Blazewicz	Coordination number prediction using learning classifier systems: performance and interpretability.	GECCO	2006	DBLP DOI BibTeX RDF	coordination number prediction, evolutionary algorithms, bioinformatics, learning classifier systems, rule induction, protein structure prediction
1	Jaume Bacardit, Natalio Krasnogor	Smart crossover operator with multiple parents for a Pittsburgh learning classifier system.	GECCO	2006	DBLP DOI BibTeX RDF	smart crossover operator, evolutionary algorithms, learning classifier systems, rule induction
1	Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Natalio Krasnogor, Jacek Blazewicz	From HP Lattice Models to Real Proteins: Coordination Number Prediction Using Learning Classifier Systems.	EvoWorkshops	2006	DBLP DOI BibTeX RDF
1	Jaume Bacardit, David E. Goldberg, Martin V. Butz	Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule.	IWLCS	2005	DBLP DOI BibTeX RDF
1	Jaume Bacardit, Josep Maria Garrell i Guiu	Bloat Control and Generalization Pressure Using the Minimum Description Length Principle for a Pittsburgh Approach Learning Classifier System.	IWLCS	2005	DBLP DOI BibTeX RDF
1	Jaume Bacardit, Martin V. Butz	Data Mining in Learning Classifier Systems: Comparing XCS with GAssist.	IWLCS	2005	DBLP DOI BibTeX RDF
1	Jaume Bacardit	Analysis of the initialization stage of a Pittsburgh approach learning classifier system.	GECCO	2005	DBLP DOI BibTeX RDF	evolutionary algorithms, learning classifier systems, rule induction
1	Jaume Bacardit, David E. Goldberg, Martin V. Butz, Xavier Llorà, Josep Maria Garrell i Guiu	Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy.	PPSN	2004	DBLP DOI BibTeX RDF
1	Jesús S. Aguilar-Ruiz, Jaume Bacardit, Federico Divina	Experimental Evaluation of Discretization Schemes for Rule Induction.	GECCO	2004	DBLP DOI BibTeX RDF
1	Jaume Bacardit, Josep Maria Garrell i Guiu	Analysis and Improvements of the Adaptive Discretization Intervals Knowledge Representation.	GECCO	2004	DBLP DOI BibTeX RDF
1	Jaume Bacardit, Josep Maria Garrell i Guiu	Evolving Multiple Discretizations with Adaptive Intervals for a Pittsburgh Rule-Based Learning Classifier System.	GECCO	2003	DBLP DOI BibTeX RDF
1	Jaume Bacardit, Josep Maria Garrell i Guiu	Evolution Of Adaptive Discretization Intervals For A Rule-based Genetic Learning System.	GECCO	2002	DBLP BibTeX RDF
1	Jaume Bacardit, Josep Maria Garrell i Guiu	Evolution of Multi-adaptive Discretization Intervals for a Rule-Based Genetic Learning System.	IBERAMIA	2002	DBLP DOI BibTeX RDF
1	Jaume Bacardit, Josep Maria Garrell i Guiu	The Role of Interval Initialization in a GBML System with Rule Representation and Adaptive Discrete Intervals.	CCIA	2002	DBLP DOI BibTeX RDF	Machine Learning, Evolutionary Computation, Adaptive Discretization

Publications of "Jaume Bacardit" ( http://dblp.L3S.de/Authors/Jaume_Bacardit )