Albert Orriols Puig
Albert Orriols Puig
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Verified email at salle.url.edu
Title
Cited by
Cited by
Year
A study of the effect of different types of noise on the precision of supervised learning techniques
DF Nettleton, A Orriols-Puig, A Fornells
Artificial intelligence review 33 (4), 275-306, 2010
2522010
Evolutionary rule-based systems for imbalanced data sets
A Orriols-Puig, E Bernadó-Mansilla
Soft Computing 13 (3), 213, 2009
2132009
Documentation for the data complexity library in C++
A Orriols-Puig, N Macia, TK Ho
Universitat Ramon Llull, La Salle 196, 2010
722010
The class imbalance problem in learning classifier systems: a preliminary study
A Orriols, E Bernadó-Mansilla
Proceedings of the 7th annual workshop on Genetic and evolutionary …, 2005
572005
Genetic-based machine learning systems are competitive for pattern recognition
A Orriols-Puig, J Casillas, E Bernadó-Mansilla
Evolutionary Intelligence 1 (3), 209-232, 2008
552008
Bounding XCS's parameters for unbalanced datasets
A Orriols-Puig, E Bernadó-Mansilla
Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006
532006
Class imbalance problem in UCS classifier system: fitness adaptation
A Orriols, E Bernadó-Mansilla
Evolutionary Computation, 2005. The 2005 IEEE Congress on 1, 604-611, 2005
532005
Facetwise analysis of XCS for problems with class imbalances
A Orriols-Puig, E Bernadó-Mansilla, DE Goldberg, K Sastry, PL Lanzi
IEEE Transactions on Evolutionary Computation 13 (5), 1093-1119, 2009
522009
Fuzzy-UCS: a Michigan-style learning fuzzy-classifier system for supervised learning
A Orriols-Puig, J Casillas, E Bernadó-Mansilla
IEEE transactions on evolutionary computation 13 (2), 260-283, 2009
522009
Learner excellence biased by data set selection: A case for data characterisation and artificial data sets
N Maciŕ, E Bernadó-Mansilla, A Orriols-Puig, TK Ho
Pattern Recognition 46 (3), 1054-1066, 2013
352013
Revisiting ucs: Description, fitness sharing, and comparison with xcs
A Orriols-Puig, E Bernadó-Mansilla
Learning Classifier Systems, 96-116, 2008
332008
Large-scale experimental evaluation of cluster representations for multiobjective evolutionary clustering
A Garcia-Piquer, A Fornells, J Bacardit, A Orriols-Puig, E Golobardes
IEEE transactions on evolutionary computation 18 (1), 36-53, 2014
322014
A further look at UCS classifier system
A Orriols-Puig, E Bernadó-Mansilla
GECCO’06, 8-12, 2006
292006
A soft-computing-based method for the automatic discovery of fuzzy rules in databases: Uses for academic research and management support in marketing
A Orriols-Puig, FJ Martínez-López, J Casillas, N Lee
Journal of Business Research 66 (9), 1332-1337, 2013
252013
A soft-computing-based method for the automatic discovery of fuzzy rules in databases: Uses for academic research and management support in marketing
A Orriols-Puig, FJ Martínez-López, J Casillas, N Lee
Journal of Business Research 66 (9), 1332-1337, 2013
252013
Preliminary approach on synthetic data sets generation based on class separability measure
N Macia, E Bernadó-Mansilla, A Orriols-Puig
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on, 1-4, 2008
252008
First approach toward on-line evolution of association rules with learning classifier systems
A Orriols-Puig, J Casillas, E Bernadó-Mansilla
Proceedings of the 10th annual conference companion on Genetic and …, 2008
222008
Modeling XCS in class imbalances: population size and parameter settings
A Orriols-Puig, DE Goldberg, K Sastry, E Bernadó-Mansilla
Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007
222007
Fuzzy knowledge representation study for incremental learning in data streams and classification problems
A Orriols-Puig, J Casillas
Soft Computing 15 (12), 2389-2414, 2011
202011
FOCUS Fuzzy knowledge representation study for incremental learning in data streams and classification problems
A Orriols-puig, J Casillas
20*2010
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Articles 1–20