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ORCIDAlbert Orriols-Puig
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- affiliation: Ramon Llull University, Digital Television Center, Barcelona, Spain
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2010 – 2019
- 2016
[j15]Andreu Sancho-Asensio, Albert Orriols-Puig, Jorge Casillas
:
Evolving association streams. Inf. Sci. 334-335: 250-272 (2016)- 2014
- [j14]Andreu Sancho-Asensio, Albert Orriols-Puig, Elisabet Golobardes:
Robust on-line neural learning classifier system for data stream classification tasks. Soft Comput. 18(8): 1441-1461 (2014) - [j13]Alvaro Garcia-Piquer, Albert Fornells, Jaume Bacardit, Albert Orriols-Puig, Elisabet Golobardes:
Large-Scale Experimental Evaluation of Cluster Representations for Multiobjective Evolutionary Clustering. IEEE Trans. Evol. Comput. 18(1): 36-53 (2014) - 2013
- [j12]Ruben Nicolas, Andreu Sancho-Asensio, Elisabet Golobardes, Albert Fornells, Albert Orriols-Puig:
Multi-label classification based on analog reasoning. Expert Syst. Appl. 40(15): 5924-5931 (2013) - [j11]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) - 2012
- [j10]Daniele Loiacono, Albert Orriols-Puig, Ryan J. Urbanowicz:
Special issue on advances in learning classifier systems. Evol. Intell. 5(2): 57-58 (2012) - 2011
- [j9]Guiomar Corral, Alvaro Garcia-Piquer, Albert Orriols-Puig, Albert Fornells, Elisabet Golobardes:
Analysis of vulnerability assessment results based on CAOS. Appl. Soft Comput. 11(7): 4321-4331 (2011) - [j8]Alvaro Garcia-Piquer, Albert Fornells, Albert Orriols-Puig, Guiomar Corral, Elisabet Golobardes:
Data classification through an evolutionary approach based on multiple criteria. Knowl. Inf. Syst. 33(1): 35-56 (2011) - [j7]Albert Orriols-Puig, Jorge Casillas:
Fuzzy knowledge representation study for incremental learning in data streams and classification problems. Soft Comput. 15(12): 2389-2414 (2011) - 2010
- [j6]David F. Nettleton, Albert Orriols-Puig, Albert Fornells:
A study of the effect of different types of noise on the precision of supervised learning techniques. Artif. Intell. Rev. 33(4): 275-306 (2010) - [c29]Albert Orriols-Puig, Xavier Llorà, David E. Goldberg:
How XCS deals with rarities in domains with continuous attributes. GECCO 2010: 1023-1030 - [c28]Núria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla:
In search of targeted-complexity problems. GECCO 2010: 1055-1062 - [c27]Núria Macià, Tin Kam Ho, Albert Orriols-Puig, Ester Bernadó-Mansilla:
The Landscape Contest at ICPR 2010. ICPR Contests 2010: 29-45 - [p3]Albert Orriols-Puig, Jorge Casillas, Francisco José Martínez-López:
Automatic Discovery of Potential Causal Structures in Marketing Databases Based on Fuzzy Association Rules. Marketing Intelligent Systems Using Soft Computing 2010: 181-206
2000 – 2009
- 2009
- [j5]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) - [j4]Albert Orriols-Puig, Ester Bernadó-Mansilla:
Evolutionary rule-based systems for imbalanced data sets. Soft Comput. 13(3): 213-225 (2009) - [j3]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) - [j2]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) - [c26]Núria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla:
EMO shines a light on the holes of complexity space. GECCO 2009: 1907-1908 - [c25]Guiomar Corral, Alvaro Garcia-Piquer, Albert Orriols-Puig, Albert Fornells, Elisabet Golobardes:
Multiobjective Evolutionary Clustering Approach to Security Vulnerability Assesments. HAIS 2009: 597-604 - [c24]Núria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla:
Beyond Homemade Artificial Data Sets. HAIS 2009: 605-612 - [c23]Albert Orriols-Puig, Jorge Casillas:
Evolution of Interesting Association Rules Online with Learning Classifier Systems. IWLCS 2009: 21-37 - 2008
- [b1]Albert Orriols-Puig:
New Challenges in Learning Classifier Systems: Mining Rarities and Evolving Fuzzy Models. University Ramon Llull, Spain, 2008 - [j1]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) - [c22]Núria Macià, Ester Bernadó-Mansilla, Albert Orriols-Puig:
On the Dimensions of Data Complexity through Synthetic Data Sets. CCIA 2008: 244-252 - [c21]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 - [c20]Francesc Teixidó-Navarro, Albert Orriols-Puig, Ester Bernadó-Mansilla:
Hierarchical evolution of linear regressors. GECCO 2008: 1413-1420 - [c19]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 - [c18]Jorge Casillas, Albert Orriols-Puig, Ester Bernadó-Mansilla:
Toward evolving consistent, complete, and compact fuzzy rule sets for classification problems. GEFS 2008: 89-94 - [c17]Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla:
Approximate Versus Linguistic Representation in Fuzzy-UCS. HAIS 2008: 722-729 - [c16]Núria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla:
Genetic-Based Synthetic Data Sets for the Analysis of Classifiers Behavior. HIS 2008: 507-512 - [c15]Sergio Morales-Ortigosa, Albert Orriols-Puig, Ester Bernadó-Mansilla:
New Crossover Operator for Evolutionary Rule Discovery in XCS. HIS 2008: 867-872 - [c14]Joaquin Rios-Boutin, Albert Orriols-Puig, Josep Maria Garrell i Guiu:
Artificial Data Sets Based on Knowledge Generators: Analysis of Learning Algorithms Efficiency. HIS 2008: 873-878 - [c13]Núria Macià, Ester Bernadó-Mansilla, Albert Orriols-Puig:
Preliminary approach on synthetic data sets generation based on class separability measure. ICPR 2008: 1-4 - [p2]Albert Orriols-Puig, Ester Bernadó-Mansilla:
Mining Imbalanced Data with Learning Classifier Systems. Learning Classifier Systems in Data Mining 2008: 123-145 - [p1]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
- [c12]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 - [c11]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 - [c10]Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla:
Fuzzy-UCS: preliminary results. GECCO (Companion) 2007: 2871-2874 - [c9]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 - [c8]Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla:
Evolving Fuzzy Rules with UCS: Preliminary Results. IWLCS 2007: 57-76 - [c7]Albert Orriols-Puig, Ester Bernadó-Mansilla:
Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS. IWLCS 2007: 96-116 - [c6]Albert Orriols-Puig, Kumara Sastry, David E. Goldberg, Ester Bernadó-Mansilla:
Substructural Surrogates for Learning Decomposable Classification Problems. IWLCS 2007: 235-254 - 2006
- [c5]Albert Orriols-Puig, Ester Bernadó-Mansilla:
Bounding XCS's parameters for unbalanced datasets. GECCO 2006: 1561-1568 - 2005
- [c4]Albert Orriols-Puig, Ester Bernadó-Mansilla:
Class imbalance problem in UCS classifier system: fitness adaptation. Congress on Evolutionary Computation 2005: 604-611 - [c3]Albert Orriols-Puig, Ester Bernadó-Mansilla:
The class imbalance problem in learning classifier systems: a preliminary study. GECCO Workshops 2005: 74-78 - [c2]Albert Orriols-Puig, Ester Bernadó-Mansilla:
The Class Imbalance Problem in UCS Classifier System: A Preliminary Study. IWLCS 2005: 161-180 - 2004
- [c1]Marc Rovira, Jordi Gonzàlez, Alejandro López, Jordi Mas, Albert Orriols-Puig, Jordi Fabregat, Gabriel Fernandez:
IndexTV: a MPEG-7 based personalized recommendation system for digital TV. ICME 2004: 823-826
Coauthor Index
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