Ester Bernadó-Mansilla

◀ ▶ joint publications with Albert Orriols-Puig

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Publications

2013
[j11]
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Núria Macià, Ester Bernadó-Mansilla, Albert Orriols-Puig, Tin Kam Ho:
Learner excellence biased by data set selection: A case for data characterisation and artificial data sets. Pattern Recognit. 46(3): 1054-1066 (2013)
2010
[c37]
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  - conf/gecco/MaciaOB10
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Núria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla:
In search of targeted-complexity problems. GECCO 2010: 1055-1062
[c36]
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Núria Macià, Tin Kam Ho, Albert Orriols-Puig, Ester Bernadó-Mansilla:
The Landscape Contest at ICPR 2010. ICPR Contests 2010: 29-45
2009
[j9]
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  - journals/ijhis/Morales-OrtigosaOB09
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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)
[j7]
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  - journals/soco/Orriols-PuigB09
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Albert Orriols-Puig, Ester Bernadó-Mansilla:
Evolutionary rule-based systems for imbalanced data sets. Soft Comput. 13(3): 213-225 (2009)
[j6]
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  - journals/tec/Orriols-PuigCB09
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Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla:
Fuzzy-UCS: A Michigan-Style Learning Fuzzy-Classifier System for Supervised Learning. IEEE Trans. Evol. Comput. 13(2): 260-283 (2009)
[j5]
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Albert Orriols-Puig, Ester Bernadó-Mansilla, David E. Goldberg, Kumara Sastry, Pier Luca Lanzi:
Facetwise Analysis of XCS for Problems With Class Imbalances. IEEE Trans. Evol. Comput. 13(5): 1093-1119 (2009)
[c35]
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  - conf/gecco/MaciaOB09
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Núria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla:
EMO shines a light on the holes of complexity space. GECCO 2009: 1907-1908
[c34]
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Núria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla:
Beyond Homemade Artificial Data Sets. HAIS 2009: 605-612
2008
[j4]
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  - journals/evi/Orriols-PuigCB08
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Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla:
Genetic-based machine learning systems are competitive for pattern recognition. Evol. Intell. 1(3): 209-232 (2008)
[c33]
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  - conf/ccia/MaciaBO08
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Núria Macià, Ester Bernadó-Mansilla, Albert Orriols-Puig:
On the Dimensions of Data Complexity through Synthetic Data Sets. CCIA 2008: 244-252
[c32]
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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
[c31]
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  - conf/gecco/Teixido-NavarroOB08
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Francesc Teixidó-Navarro, Albert Orriols-Puig, Ester Bernadó-Mansilla:
Hierarchical evolution of linear regressors. GECCO 2008: 1413-1420
[c30]
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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
[c29]
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  - conf/gefs/CasillasOB08
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Jorge Casillas, Albert Orriols-Puig, Ester Bernadó-Mansilla:
Toward evolving consistent, complete, and compact fuzzy rule sets for classification problems. GEFS 2008: 89-94
[c28]
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Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla:
Approximate Versus Linguistic Representation in Fuzzy-UCS. HAIS 2008: 722-729
[c27]
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Núria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla:
Genetic-Based Synthetic Data Sets for the Analysis of Classifiers Behavior. HIS 2008: 507-512
[c26]
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Sergio Morales-Ortigosa, Albert Orriols-Puig, Ester Bernadó-Mansilla:
New Crossover Operator for Evolutionary Rule Discovery in XCS. HIS 2008: 867-872
[c25]
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Núria Macià, Ester Bernadó-Mansilla, Albert Orriols-Puig:
Preliminary approach on synthetic data sets generation based on class separability measure. ICPR 2008: 1-4
[p3]
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Albert Orriols-Puig, Ester Bernadó-Mansilla:
Mining Imbalanced Data with Learning Classifier Systems. Learning Classifier Systems in Data Mining 2008: 123-145
[p2]
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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
[c22]
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  - conf/gecco/Orriols-PuigGSB07
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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
[c21]
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  - conf/gecco/Orriols-PuigSLGB07
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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
[c20]
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Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla:
Fuzzy-UCS: preliminary results. GECCO (Companion) 2007: 2871-2874
[c19]
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  - conf/gecco/Orriols-PuigBSG07
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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
[c15]
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Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla:
Evolving Fuzzy Rules with UCS: Preliminary Results. IWLCS 2007: 57-76
[c14]
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Albert Orriols-Puig, Ester Bernadó-Mansilla:
Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS. IWLCS 2007: 96-116
[c13]
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Albert Orriols-Puig, Kumara Sastry, David E. Goldberg, Ester Bernadó-Mansilla:
Substructural Surrogates for Learning Decomposable Classification Problems. IWLCS 2007: 235-254
2006
[c12]
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  - conf/gecco/Orriols-PuigB06
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Albert Orriols-Puig, Ester Bernadó-Mansilla:
Bounding XCS's parameters for unbalanced datasets. GECCO 2006: 1561-1568
2005
[c9]
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  - conf/cec/Orriols-PuigB05
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Albert Orriols-Puig, Ester Bernadó-Mansilla:
Class imbalance problem in UCS classifier system: fitness adaptation. Congress on Evolutionary Computation 2005: 604-611
[c8]
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Albert Orriols-Puig, Ester Bernadó-Mansilla:
The class imbalance problem in learning classifier systems: a preliminary study. GECCO Workshops 2005: 74-78
[c7]
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Albert Orriols-Puig, Ester Bernadó-Mansilla:
The Class Imbalance Problem in UCS Classifier System: A Preliminary Study. IWLCS 2005: 161-180

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