Ester Bernadó-Mansilla

Ester Bernadó i Mansilla

2009
40	EE	Albert Orriols-Puig, Ester Bernadó-Mansilla: Evolutionary rule-based systems for imbalanced data sets. Soft Comput. 13(3): 213-225 (2009)
2008
39	EE	Larry Bull, Ester Bernadó-Mansilla, John H. Holmes: Learning Classifier Systems in Data Mining Springer 2008
38		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
37	EE	Núria Macià, Ester Bernadó-Mansilla, Albert Orriols-Puig: On the Dimensions of Data Complexity through Synthetic Data Sets. CCIA 2008: 244-252
36	EE	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
35	EE	Francesc Teixidó-Navarro, Albert Orriols-Puig, Ester Bernadó-Mansilla: Hierarchical evolution of linear regressors. GECCO 2008: 1413-1420
34	EE	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
33	EE	Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla: Approximate Versus Linguistic Representation in Fuzzy-UCS. HAIS 2008: 722-729
32	EE	Núria Macià, Ester Bernadó-Mansilla, Albert Orriols-Puig: Preliminary approach on synthetic data sets generation based on class separability measure. ICPR 2008: 1-4
31	EE	Larry Bull, Ester Bernadó-Mansilla, John H. Holmes: Learning Classifier Systems in Data Mining: An Introduction. Learning Classifier Systems in Data Mining 2008: 1-15
30	EE	Albert Orriols-Puig, Ester Bernadó-Mansilla: Mining Imbalanced Data with Learning Classifier Systems. Learning Classifier Systems in Data Mining 2008: 123-145
29	EE	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
28		Ester Bernadó-Mansilla, Núria Macià-Antolínez: Modeling Problem Transformations based on Data Complexity. CCIA 2007: 133-140
27		Rosa Maria Alsina, Lluís Formiga Fanals, Joan Claudi Socoró, Ester Bernadó-Mansilla: Multiobjective Evolutionary Algorithm for DS-CDMA Pseudonoise Sequence Design in a Multiresolutive Acquisition. CCIA 2007: 384-391
26	EE	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
25	EE	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
24	EE	Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla: Fuzzy-UCS: preliminary results. GECCO (Companion) 2007: 2871-2874
23	EE	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
22	EE	Albert Fornells, Elisabet Golobardes, Josep Maria Martorell, Josep Maria Garrell i Guiu, Núria Macià, Ester Bernadó i Mansilla: A Methodology for Analyzing Case Retrieval from a Clustered Case Memory. ICCBR 2007: 122-136
21	EE	Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz: Learning Classifier Systems: Looking Back and Glimpsing Ahead. IWLCS 2007: 1-21
20	EE	Albert Orriols-Puig, Kumara Sastry, David E. Goldberg, Ester Bernadó-Mansilla: Substructural Surrogates for Learning Decomposable Classification Problems. IWLCS 2007: 235-254
19	EE	Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla: Evolving Fuzzy Rules with UCS: Preliminary Results. IWLCS 2007: 57-76
18	EE	Albert Orriols-Puig, Ester Bernadó-Mansilla: Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS. IWLCS 2007: 96-116
17	EE	Albert Fornells, Elisabet Golobardes, Josep Maria Martorell, Josep Maria Garrell i Guiu, Ester Bernadó i Mansilla, Núria Macià: Measuring the Applicability of Self-organization Maps in a Case-Based Reasoning System. IbPRIA (2) 2007: 532-539
2006
16	EE	Albert Orriols-Puig, Ester Bernadó-Mansilla: Bounding XCS's parameters for unbalanced datasets. GECCO 2006: 1561-1568
15		Albert Fornells-Herrera, Elisabet Golobardes i Ribé, Ester Bernadó i Mansilla, Joan Martí Bonmatí: Decision Support System for Breast Cancer Diagnosis by a Meta-Learning Approach Based on Grammar Evolution. ICEIS (2) 2006: 222-229
14	EE	Ester Bernadó i Mansilla, Xavier Llorà, Ivan Traus: Multi-objective Learning Classifier Systems. Multi-Objective Machine Learning 2006: 261-288
2005
13		Rosa Maria Alsina, Ester Bernadó-Mansilla, Jose Antonio Morán: Evolution Strategies for DS-CDMA Pseudonoise Sequence Design. CCIA 2005: 189-196
12	EE	Albert Orriols-Puig, Ester Bernadó-Mansilla: Class imbalance problem in UCS classifier system: fitness adaptation. Congress on Evolutionary Computation 2005: 604-611
11	EE	Albert Orriols-Puig, Ester Bernadó-Mansilla: The class imbalance problem in learning classifier systems: a preliminary study. GECCO Workshops 2005: 74-78
10	EE	Albert Orriols-Puig, Ester Bernadó-Mansilla: The Class Imbalance Problem in UCS Classifier System: A Preliminary Study. IWLCS 2005: 161-180
9	EE	Ester Bernadó-Mansilla, Tin Kam Ho: Domain of competence of XCS classifier system in complexity measurement space. IEEE Trans. Evolutionary Computation 9(1): 82-104 (2005)
2004
8	EE	Ester Bernadó i Mansilla, Tin Kam Ho: On Classifier Domains of Competence. ICPR (1) 2004: 136-139
2003
7		Ester Bernadó i Mansilla, Josep Maria Garrell i Guiu: Accuracy-Based Learning Classifier Systems: Models, Analysis and Applications to Classification Tasks. Evolutionary Computation 11(3): 209-238 (2003)
2002
6	EE	Xavier Llorà, David E. Goldberg, Ivan Traus, Ester Bernadó i Mansilla: Accuracy, Parsimony, and Generality in Evolutionary Learning Systems via Multiobjective Selection. IWLCS 2002: 118-142
2001
5	EE	Ester Bernadó i Mansilla, Josep Maria Garrell i Guiu: MOLeCS: Using Multiobjective Evolutionary Algorithms for Learning. EMO 2001: 696-710
4	EE	Ester Bernadó i Mansilla, Xavier Llorà, Josep Maria Garrell i Guiu: XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining. IWLCS 2001: 115-132
2000
3		Ester Bernadó i Mansilla, Josep Maria Garrell i Guiu: MOLeCS: A MultiObjective Learning Classifier System. GECCO 2000: 390
1999
2		Ester Bernadó i Mansilla, Abdelouahab Mekaouche, Josep Maria Garrell i Guiu: A Study of a Genetic Classifier System Based on the Pittsburgh Approach on a Medical Domain. IEA/AIE 1999: 175-184
1	EE	Josep Maria Garrell i Guiu, Elisabet Golobardes i Ribé, Ester Bernadó i Mansilla, Xavier Llorà: Automatic diagnosis with genetic algorithms and case-based reasoning. AI in Engineering 13(4): 367-372 (1999)

Coauthor Index

1	Rosa Maria Alsina	[13] [27]
2	Jaume Bacardit	[21] [38]
3	Joan Martí Bonmatí	[15]
4	Larry Bull	[31] [39]
5	Martin V. Butz (Martin Butz)	[21] [38]
6	Jorge Casillas	[19] [24] [29] [33] [34]
7	Lluís Formiga Fanals	[27]
8	Albert Fornells (Albert Fornells-Herrera)	[15] [17] [22]
9	David E. Goldberg	[6] [20] [23] [25] [26]
10	Elisabet Golobardes (Elisabet Golobardes i Ribé)	[1] [15] [17] [22]
11	Josep Maria Garrell i Guiu	[1] [2] [3] [4] [5] [7] [17] [22]
12	Tin Kam Ho	[8] [9]
13	John H. Holmes	[31] [39]
14	Tim Kovacs	[38]
15	Pier Luca Lanzi	[25]
16	Xavier Llorà	[1] [4] [6] [14] [38]
17	Núria Macià	[17] [22] [32] [37]
18	Núria Macià-Antolínez	[28]
19	Josep Maria Martorell	[17] [22]
20	Abdelouahab Mekaouche	[2]
21	Sergio Morales-Ortigosa	[36]
22	Jose Antonio Morán	[13]
23	Albert Orriols-Puig	[10] [11] [12] [16] [18] [19] [20] [23] [24] [25] [26] [29] [30] [32] [33] [34] [35] [36] [37] [40]
24	Kumara Sastry	[20] [23] [25] [26]
25	Joan Claudi Socoró	[27]
26	Keiki Takadama	[38]
27	Francesc Teixidó-Navarro	[35]
28	Ivan Traus	[6] [14]

Colors in the list of coauthors