Jaume Bacardit

2009
25	EE	Jaume Bacardit, Edmund K. Burke, Natalio Krasnogor: Improving the scalability of rule-based evolutionary learning. Memetic Computing 1(1): 55-67 (2009)
24	EE	Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Robert Elliott Smith, Natalio Krasnogor: Prediction of topological contacts in proteins using learning classifier systems. Soft Comput. 13(3): 245-258 (2009)
23	EE	Jesús Alcalá-Fdez, Luciano Sánchez, Salvador García, María José del Jesús, Sebastián Ventura, Josep Maria Garrell i Guiu, José Otero, Cristóbal Romero, Jaume Bacardit, Víctor M. Rivas, Juan Carlos Fernández, Francisco Herrera: KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Comput. 13(3): 307-318 (2009)
2008
22		Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz, Tim Kovacs, Xavier Llorà, Keiki Takadama: Learning Classifier Systems, 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers Springer 2008
21	EE	Jaume Bacardit, Natalio Krasnogor: Fast rule representation for continuous attributes in genetics-based machine learning. GECCO 2008: 1421-1422
20	EE	Maximiliano Tabacman, Natalio Krasnogor, Jaume Bacardit, Irene Loiseau: Learning classifier systems for optimisation problems: a case study on fractal travelling salesman problem. GECCO (Companion) 2008: 2039-2046
19	EE	Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Natalio Krasnogor: Data Mining in Proteomics with Learning Classifier Systems. Learning Classifier Systems in Data Mining 2008: 17-46
18	EE	Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Natalio Krasnogor: Prediction of recursive convex hull class assignments for protein residues. Bioinformatics 24(7): 916-923 (2008)
2007
17	EE	Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Kumara Sastry, Xavier Llorà, Natalio Krasnogor: Automated alphabet reduction method with evolutionary algorithms for protein structure prediction. GECCO 2007: 346-353
16	EE	Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz: Learning Classifier Systems: Looking Back and Glimpsing Ahead. IWLCS 2007: 1-21
15	EE	Jaume Bacardit, Natalio Krasnogor: Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System. IWLCS 2007: 255-268
2006
14	EE	Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Natalio Krasnogor, Jacek Blazewicz: From HP Lattice Models to Real Proteins: Coordination Number Prediction Using Learning Classifier Systems. EvoWorkshops 2006: 208-220
13	EE	Jaume Bacardit, Natalio Krasnogor: Smart crossover operator with multiple parents for a Pittsburgh learning classifier system. GECCO 2006: 1441-1448
12	EE	Jaume Bacardit, Michael Stout, Natalio Krasnogor, Jonathan D. Hirst, Jacek Blazewicz: Coordination number prediction using learning classifier systems: performance and interpretability. GECCO 2006: 247-254
2005
11	EE	Jaume Bacardit: Analysis of the initialization stage of a Pittsburgh approach learning classifier system. GECCO 2005: 1843-1850
10	EE	Jaume Bacardit, Martin V. Butz: Data Mining in Learning Classifier Systems: Comparing XCS with GAssist. IWLCS 2005: 282-290
9	EE	Jaume Bacardit, David E. Goldberg, Martin V. Butz: Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule. IWLCS 2005: 291-307
8	EE	Jaume Bacardit, Josep Maria Garrell i Guiu: Bloat Control and Generalization Pressure Using the Minimum Description Length Principle for a Pittsburgh Approach Learning Classifier System. IWLCS 2005: 59-79
2004
7	EE	Jesús S. Aguilar-Ruiz, Jaume Bacardit, Federico Divina: Experimental Evaluation of Discretization Schemes for Rule Induction. GECCO (1) 2004: 828-839
6	EE	Jaume Bacardit, Josep Maria Garrell i Guiu: Analysis and Improvements of the Adaptive Discretization Intervals Knowledge Representation. GECCO (2) 2004: 726-738
5	EE	Jaume Bacardit, David E. Goldberg, Martin V. Butz, Xavier Llorà, Josep Maria Garrell i Guiu: Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy. PPSN 2004: 1021-1031
2003
4	EE	Jaume Bacardit, Josep Maria Garrell i Guiu: Evolving Multiple Discretizations with Adaptive Intervals for a Pittsburgh Rule-Based Learning Classifier System. GECCO 2003: 1818-1831
2002
3	EE	Jaume Bacardit, Josep Maria Garrell i Guiu: The Role of Interval Initialization in a GBML System with Rule Representation and Adaptive Discrete Intervals. CCIA 2002: 184-195
2		Jaume Bacardit, Josep Maria Garrell i Guiu: Evolution Of Adaptive Discretization Intervals For A Rule-based Genetic Learning System. GECCO 2002: 677
1	EE	Jaume Bacardit, Josep Maria Garrell i Guiu: Evolution of Multi-adaptive Discretization Intervals for a Rule-Based Genetic Learning System. IBERAMIA 2002: 350-360

Coauthor Index

1	Jesús S. Aguilar-Ruiz	[7]
2	Jesús Alcalá-Fdez	[23]
3	Ester Bernadó-Mansilla (Ester Bernadó i Mansilla)	[16] [22]
4	Jacek Blazewicz	[12] [14]
5	Edmund K. Burke	[25]
6	Martin V. Butz (Martin Butz)	[5] [9] [10] [16] [22]
7	Federico Divina	[7]
8	Juan Carlos Fernández	[23]
9	Salvador García	[23]
10	David E. Goldberg	[5] [9]
11	Josep Maria Garrell i Guiu	[1] [2] [3] [4] [5] [6] [8] [23]
12	Francisco Herrera	[23]
13	Jonathan D. Hirst	[12] [14] [17] [18] [19] [24]
14	María José del Jesús	[23]
15	Tim Kovacs	[22]
16	Natalio Krasnogor	[12] [13] [14] [15] [17] [18] [19] [20] [21] [24] [25]
17	Xavier Llorà	[5] [17] [22]
18	Irene Loiseau	[20]
19	José Otero	[23]
20	Víctor M. Rivas	[23]
21	Cristóbal Romero	[23]
22	Luciano Sánchez	[23]
23	Kumara Sastry	[17]
24	Robert Elliott Smith (Robert E. Smith)	[24]
25	Michael Stout	[12] [14] [17] [18] [19] [24]
26	Maximiliano Tabacman	[20]
27	Keiki Takadama	[22]
28	Sebastián Ventura	[23]

Colors in the list of coauthors