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Publications of Author

1. Albert Orriols-Puig, Ester Bernadó-Mansilla
   Bounding XCS's parameters for unbalanced datasets. [Citation Graph (0, 0)][DBLP]
   GECCO, 2006, pp:1561-1568 [Conf]
   
2. Albert Orriols-Puig, Ester Bernadó-Mansilla
   The class imbalance problem in learning classifier systems: a preliminary study. [Citation Graph (0, 0)][DBLP]
   GECCO Workshops, 2005, pp:74-78 [Conf]
   
3. Ester Bernadó-Mansilla, Tin Kam Ho
   Domain of competence of XCS classifier system in complexity measurement space. [Citation Graph (0, 0)][DBLP]
   IEEE Trans. Evolutionary Computation, 2005, v:9, n:1, pp:82-104 [Journal]
   
4. Albert Orriols-Puig, David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla
   Modeling XCS in class imbalances: population size and parameter settings. [Citation Graph (0, 0)][DBLP]
   GECCO, 2007, pp:1838-1845 [Conf]
   
5. Albert Orriols-Puig, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, Ester Bernadó-Mansilla
   Modeling selection pressure in XCS for proportionate and tournament selection. [Citation Graph (0, 0)][DBLP]
   GECCO, 2007, pp:1846-1853 [Conf]
   
6. Albert Orriols-Puig, Ester Bernadó-Mansilla, Kumara Sastry, David E. Goldberg
   Substructrual surrogates for learning decomposable classification problems: implementation and first results. [Citation Graph (0, 0)][DBLP]
   GECCO (Companion), 2007, pp:2875-2882 [Conf]
   
7. Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla
   Fuzzy-UCS: preliminary results. [Citation Graph (0, 0)][DBLP]
   GECCO (Companion), 2007, pp:2871-2874 [Conf]
   
8. Albert Orriols-Puig, Ester Bernadó-Mansilla
   The Class Imbalance Problem in UCS Classifier System: A Preliminary Study. [Citation Graph (0, 0)][DBLP]
   IWLCS, 2005, pp:161-180 [Conf]
   
9. Albert Orriols-Puig, Ester Bernadó-Mansilla
   Class imbalance problem in UCS classifier system: fitness adaptation. [Citation Graph (0, 0)][DBLP]
   Congress on Evolutionary Computation, 2005, pp:604-611 [Conf]
   
10. 
    Modeling Problem Transformations based on Data Complexity. [Citation Graph (, )][DBLP]
    
    
11. 
    On the Dimensions of Data Complexity through Synthetic Data Sets. [Citation Graph (, )][DBLP]
    
    
12. 
    Multiobjective Evolutionary Algorithm for DS-CDMA Pseudonoise Sequence Design in a Multiresolutive Acquisition. [Citation Graph (, )][DBLP]
    
    
13. 
    Can Evolution Strategies Improve Learning Guidance in XCS? Design and Comparison with Genetic Algorithms based XCS. [Citation Graph (, )][DBLP]
    
    
14. 
    Evolution Strategies for DS-CDMA Pseudonoise Sequence Design. [Citation Graph (, )][DBLP]
    
    
15. 
    Hierarchical evolution of linear regressors. [Citation Graph (, )][DBLP]
    
    
16. 
    First approach toward on-line evolution of association rules with learning classifier systems. [Citation Graph (, )][DBLP]
    
    
17. 
    EMO shines a light on the holes of complexity space. [Citation Graph (, )][DBLP]
    
    
18. 
    In search of targeted-complexity problems. [Citation Graph (, )][DBLP]
    
    
19. 
    New Crossover Operator for Evolutionary Rule Discovery in XCS. [Citation Graph (, )][DBLP]
    
    
20. 
    Genetic-Based Synthetic Data Sets for the Analysis of Classifiers Behavior. [Citation Graph (, )][DBLP]
    
    
21. 
    Preliminary approach on synthetic data sets generation based on class separability measure. [Citation Graph (, )][DBLP]
    
    
22. 
    Substructural Surrogates for Learning Decomposable Classification Problems. [Citation Graph (, )][DBLP]
    
    
23. 
    Learning Classifier Systems: Looking Back and Glimpsing Ahead. [Citation Graph (, )][DBLP]
    
    
24. 
    Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS. [Citation Graph (, )][DBLP]
    
    
25. 
    Evolving Fuzzy Rules with UCS: Preliminary Results. [Citation Graph (, )][DBLP]
    
    
26. 
    Beyond Homemade Artificial Data Sets. [Citation Graph (, )][DBLP]
    
    
27. 
    Approximate Versus Linguistic Representation in Fuzzy-UCS. [Citation Graph (, )][DBLP]