| 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 | 512 | 2010 |
| Evolutionary rule-based systems for imbalanced data sets A Orriols-Puig, E Bernadó-Mansilla Soft Computing 13 (3), 213-225, 2009 | 277 | 2009 |
| Documentation for the data complexity library in c++ A Orriols-Puig, N Macia, TK Ho Universitat Ramon Llull, La Salle 196 (1-40), 12, 2010 | 122 | 2010 |
| Facetwise analysis of XCS for problems with class imbalances A Orriols-Puig, E Bernado-Mansilla, DE Goldberg, K Sastry, PL Lanzi IEEE Transactions on Evolutionary Computation 13 (5), 1093-1119, 2009 | 68 | 2009 |
| 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 | 68 | 2008 |
| 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, 2008 | 68 | 2008 |
| Bounding XCS's parameters for unbalanced datasets A Orriols-Puig, E Bernadó-Mansilla Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006 | 62 | 2006 |
| 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 | 61 | 2005 |
| 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 | 59 | 2013 |
| Class imbalance problem in UCS classifier system: Fitness adaptation A Orriols, E Bernadó-Mansilla 2005 IEEE Congress on Evolutionary Computation 1, 604-611, 2005 | 58 | 2005 |
| 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, 2013 | 44 | 2013 |
| A further look at UCS classifier system A Orriols-Puig, E Bernadó-Mansilla GECCO’06, 8-12, 2006 | 38 | 2006 |
| Revisiting ucs: Description, fitness sharing, and comparison with xcs A Orriols-Puig, E Bernadó-Mansilla Learning Classifier Systems, 96-116, 2006 | 36 | 2006 |
| Unsupervised KDD to creatively support managers' decision making with fuzzy association rules: A distribution channel application A Orriols-Puig, FJ Martínez-López, J Casillas, N Lee Industrial Marketing Management 42 (4), 532-543, 2013 | 34 | 2013 |
| 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 | 30 | 2013 |
| 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 | 30 | 2013 |
| Preliminary approach on synthetic data sets generation based on class separability measure N Macia, E Bernadó-Mansilla, A Orriols-Puig 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 30 | 2008 |
| 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 | 24 | 2011 |
| 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 | 24 | 2011 |
| Genetic-based synthetic data sets for the analysis of classifiers behavior N Maciŕ, A Orriols-Puig, E Bernadó-Mansilla 2008 Eighth International Conference on Hybrid Intelligent Systems, 507-512, 2008 | 24 | 2008 |
