 | 2009 |
| 24 |  | Núria Macià,
Albert Orriols-Puig,
Ester Bernadó-Mansilla:
EMO shines a light on the holes of complexity space.
GECCO 2009: 1907-1908 |
| 23 |  | Guiomar Corral,
A. Garcia-Piquer,
Albert Orriols-Puig,
Albert Fornells,
Elisabet Golobardes:
Multiobjective Evolutionary Clustering Approach to Security Vulnerability Assesments.
HAIS 2009: 597-604 |
| 22 |  | Núria Macià,
Albert Orriols-Puig,
Ester Bernadó-Mansilla:
Beyond Homemade Artificial Data Sets.
HAIS 2009: 605-612 |
| 21 |  | Sergio Morales-Ortigosa,
Albert Orriols-Puig,
Ester Bernadó-Mansilla:
Analysis and improvement of the genetic discovery component of XCS.
Int. J. Hybrid Intell. Syst. 6(2): 81-95 (2009) |
| 20 |  | Albert Orriols-Puig,
Ester Bernadó-Mansilla:
Evolutionary rule-based systems for imbalanced data sets.
Soft Comput. 13(3): 213-225 (2009) |
| 2008 |
| 19 |  | Núria Macià,
Ester Bernadó-Mansilla,
Albert Orriols-Puig:
On the Dimensions of Data Complexity through Synthetic Data Sets.
CCIA 2008: 244-252 |
| 18 |  | Sergio Morales-Ortigosa,
Albert Orriols-Puig,
Ester Bernadó-Mansilla:
Can Evolution Strategies Improve Learning Guidance in XCS? Design and Comparison with Genetic Algorithms based XCS.
CCIA 2008: 253-261 |
| 17 |  | Francesc Teixidó-Navarro,
Albert Orriols-Puig,
Ester Bernadó-Mansilla:
Hierarchical evolution of linear regressors.
GECCO 2008: 1413-1420 |
| 16 |  | Albert Orriols-Puig,
Jorge Casillas,
Ester Bernadó-Mansilla:
First approach toward on-line evolution of association rules with learning classifier systems.
GECCO (Companion) 2008: 2031-2038 |
| 15 |  | Albert Orriols-Puig,
Jorge Casillas,
Ester Bernadó-Mansilla:
Approximate Versus Linguistic Representation in Fuzzy-UCS.
HAIS 2008: 722-729 |
| 14 |  | Núria Macià,
Ester Bernadó-Mansilla,
Albert Orriols-Puig:
Preliminary approach on synthetic data sets generation based on class separability measure.
ICPR 2008: 1-4 |
| 13 |  | Albert Orriols-Puig,
Ester Bernadó-Mansilla:
Mining Imbalanced Data with Learning Classifier Systems.
Learning Classifier Systems in Data Mining 2008: 123-145 |
| 12 |  | Albert Orriols-Puig,
Jorge Casillas,
Ester Bernadó-Mansilla:
A Comparative Study of Several Genetic-Based Supervised Learning Systems.
Learning Classifier Systems in Data Mining 2008: 205-230 |
| 2007 |
| 11 |  | Albert Orriols-Puig,
David E. Goldberg,
Kumara Sastry,
Ester Bernadó-Mansilla:
Modeling XCS in class imbalances: population size and parameter settings.
GECCO 2007: 1838-1845 |
| 10 |  | Albert Orriols-Puig,
Kumara Sastry,
Pier Luca Lanzi,
David E. Goldberg,
Ester Bernadó-Mansilla:
Modeling selection pressure in XCS for proportionate and tournament selection.
GECCO 2007: 1846-1853 |
| 9 |  | Albert Orriols-Puig,
Jorge Casillas,
Ester Bernadó-Mansilla:
Fuzzy-UCS: preliminary results.
GECCO (Companion) 2007: 2871-2874 |
| 8 |  | Albert Orriols-Puig,
Ester Bernadó-Mansilla,
Kumara Sastry,
David E. Goldberg:
Substructrual surrogates for learning decomposable classification problems: implementation and first results.
GECCO (Companion) 2007: 2875-2882 |
| 7 |  | Albert Orriols-Puig,
Kumara Sastry,
David E. Goldberg,
Ester Bernadó-Mansilla:
Substructural Surrogates for Learning Decomposable Classification Problems.
IWLCS 2007: 235-254 |
| 6 |  | Albert Orriols-Puig,
Jorge Casillas,
Ester Bernadó-Mansilla:
Evolving Fuzzy Rules with UCS: Preliminary Results.
IWLCS 2007: 57-76 |
| 5 |  | Albert Orriols-Puig,
Ester Bernadó-Mansilla:
Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS.
IWLCS 2007: 96-116 |
| 2006 |
| 4 |  | Albert Orriols-Puig,
Ester Bernadó-Mansilla:
Bounding XCS's parameters for unbalanced datasets.
GECCO 2006: 1561-1568 |
| 2005 |
| 3 |  | Albert Orriols-Puig,
Ester Bernadó-Mansilla:
Class imbalance problem in UCS classifier system: fitness adaptation.
Congress on Evolutionary Computation 2005: 604-611 |
| 2 |  | Albert Orriols-Puig,
Ester Bernadó-Mansilla:
The class imbalance problem in learning classifier systems: a preliminary study.
GECCO Workshops 2005: 74-78 |
| 1 |  | Albert Orriols-Puig,
Ester Bernadó-Mansilla:
The Class Imbalance Problem in UCS Classifier System: A Preliminary Study.
IWLCS 2005: 161-180 |