Albert Orriols-Puig

Inf. Sci., 2016

2014

Large-Scale Experimental Evaluation of Cluster Representations for Multiobjective Evolutionary Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2014

Robust on-line neural learning classifier system for data stream classification tasks.

[BibT_eX]

[DOI]

Andreu Sancho-Asensio

Elisabet Golobardes

Soft Comput., 2014

2013

Learner excellence biased by data set selection: A case for data characterisation and artificial data sets.

[BibT_eX]

[DOI]

Tin Kam Ho

Pattern Recognit., 2013

Multi-label classification based on analog reasoning.

[BibT_eX]

[DOI]

Ruben Nicolas

Andreu Sancho-Asensio

Elisabet Golobardes

Albert Fornells

Expert Syst. Appl., 2013

2012

Special issue on advances in learning classifier systems.

[BibT_eX]

[DOI]

Daniele Loiacono

Ryan J. Urbanowicz

Evol. Intell., 2012

2011

Fuzzy knowledge representation study for incremental learning in data streams and classification problems.

[BibT_eX]

[DOI]

Soft Comput., 2011

Data classification through an evolutionary approach based on multiple criteria.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2011

Analysis of vulnerability assessment results based on CAOS.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2011

2010

Automatic Discovery of Potential Causal Structures in Marketing Databases Based on Fuzzy Association Rules.

[BibT_eX]

[DOI]

Francisco José Martínez-López

Proceedings of the Marketing Intelligent Systems Using Soft Computing, 2010

A study of the effect of different types of noise on the precision of supervised learning techniques.

[BibT_eX]

[DOI]

David F. Nettleton

Albert Fornells

Artif. Intell. Rev., 2010

The Landscape Contest at ICPR 2010.

[BibT_eX]

[DOI]

Tin Kam Ho

Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010

How XCS deals with rarities in domains with continuous attributes.

[BibT_eX]

[DOI]

Xavier Llorà

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

In search of targeted-complexity problems.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009

Fuzzy-UCS: A Michigan-Style Learning Fuzzy-Classifier System for Supervised Learning.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2009

Facetwise Analysis of XCS for Problems With Class Imbalances.

[BibT_eX]

[DOI]

Pier Luca Lanzi

IEEE Trans. Evol. Comput., 2009

Evolutionary rule-based systems for imbalanced data sets.

[BibT_eX]

[DOI]

Soft Comput., 2009

Analysis and improvement of the genetic discovery component of XCS.

[BibT_eX]

[DOI]

Sergio Morales-Ortigosa

Int. J. Hybrid Intell. Syst., 2009

Evolution of Interesting Association Rules Online with Learning Classifier Systems.

[BibT_eX]

[DOI]

Proceedings of the Learning Classifier Systems, 2009

Beyond Homemade Artificial Data Sets.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Multiobjective Evolutionary Clustering Approach to Security Vulnerability Assesments.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

EMO shines a light on the holes of complexity space.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008

A Comparative Study of Several Genetic-Based Supervised Learning Systems.

[BibT_eX]

[DOI]

Proceedings of the Learning Classifier Systems in Data Mining, 2008

Mining Imbalanced Data with Learning Classifier Systems.

[BibT_eX]

[DOI]

Proceedings of the Learning Classifier Systems in Data Mining, 2008

New Challenges in Learning Classifier Systems: Mining Rarities and Evolving Fuzzy Models.

[BibT_eX]

[DOI]

PhD thesis, 2008

Genetic-based machine learning systems are competitive for pattern recognition.

[BibT_eX]

[DOI]

Evol. Intell., 2008

Preliminary approach on synthetic data sets generation based on class separability measure.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Artificial Data Sets Based on Knowledge Generators: Analysis of Learning Algorithms Efficiency.

[BibT_eX]

[DOI]

Joaquin Rios-Boutin

Josep Maria Garrell i Guiu

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

New Crossover Operator for Evolutionary Rule Discovery in XCS.

[BibT_eX]

[DOI]

Sergio Morales-Ortigosa

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Genetic-Based Synthetic Data Sets for the Analysis of Classifiers Behavior.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Approximate Versus Linguistic Representation in Fuzzy-UCS.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

Toward evolving consistent, complete, and compact fuzzy rule sets for classification problems.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Workshop on Genetic and Evolving Systems, 2008

Hierarchical evolution of linear regressors.

[BibT_eX]

[DOI]

Francesc Teixidó-Navarro

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

First approach toward on-line evolution of association rules with learning classifier systems.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Can Evolution Strategies Improve Learning Guidance in XCS? Design and Comparison with Genetic Algorithms based XCS.

[BibT_eX]

[DOI]

Sergio Morales-Ortigosa

Proceedings of the Artificial Intelligence Research and Development, 2008

On the Dimensions of Data Complexity through Synthetic Data Sets.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Research and Development, 2008

2007

Substructural Surrogates for Learning Decomposable Classification Problems.

[BibT_eX]

[DOI]

Proceedings of the Learning Classifier Systems, 2007

Evolving Fuzzy Rules with UCS: Preliminary Results.

[BibT_eX]

[DOI]

Proceedings of the Learning Classifier Systems, 2007

Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS.

[BibT_eX]

[DOI]

Proceedings of the Learning Classifier Systems, 2007

Modeling selection pressure in XCS for proportionate and tournament selection.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Modeling XCS in class imbalances: population size and parameter settings.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Fuzzy-UCS: preliminary results.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Substructrual surrogates for learning decomposable classification problems: implementation and first results.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006

Bounding XCS's parameters for unbalanced datasets.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2005

The Class Imbalance Problem in UCS Classifier System: A Preliminary Study.

[BibT_eX]

[DOI]

Proceedings of the Learning Classifier Systems, International Workshops, 2005

The class imbalance problem in learning classifier systems: a preliminary study.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Class imbalance problem in UCS classifier system: fitness adaptation.

[BibT_eX]

[DOI]