Pablo Alberto Dalbem de Castro

Pablo A. D. de Castro, Pablo A. D. Castro

	2013
j6		Pablo A. D. Castro, Heloisa A. Camargo, Fernando J. Von Zuben: Evaluating the performance of a Bayesian Artificial Immune System for designing fuzzy rule bases. Int. J. Hybrid Intell. Syst. 10(2): 43-55 (2013)
	2011
j5		Pablo Alberto Dalbem de Castro, Fernando J. Von Zuben: Learning Ensembles of Neural Networks by Means of a Bayesian Artificial Immune System. IEEE Transactions on Neural Networks 22(2): 304-316 (2011)
c18		Pablo A. D. Castro, Fernando J. Von Zuben: Training multilayer perceptrons with a Gaussian Artificial Immune System. IEEE Congress on Evolutionary Computation 2011: 1250-1257
c17		Pablo A. D. Castro, Heloisa A. Camargo, Fernando J. Von Zuben: Designing fuzzy rule bases with a Bayesian Artificial Immune System. HIS 2011: 584-589
	2010
j4		Fabrício Olivetti de França, Guilherme Palermo Coelho, Pablo A. D. Castro, Fernando J. Von Zuben: Conceptual and Practical Aspects of the aiNet Family of Algorithms. IJNCR 1(1): 1-35 (2010)
j3		Pablo Alberto Dalbem de Castro, Fabrício Olivetti de França, Hamilton M. Ferreira, Guilherme Palermo Coelho, Fernando J. Von Zuben: Query expansion using an immune-inspired biclustering algorithm. Natural Computing 9(3): 579-602 (2010)
c16		Pablo A. D. Castro, Fernando J. Von Zuben: A Gaussian Artificial Immune System for Multi-Objective optimization in continuous domains. HIS 2010: 159-164
c15		Pablo A. D. Castro, Fernando J. Von Zuben: GAIS: A Gaussian Artificial Immune System for Continuous Optimization. ICARIS 2010: 171-184
	2009
j2		Pablo Alberto Dalbem de Castro, Fernando J. Von Zuben: BAIS: A Bayesian Artificial Immune System for the effective handling of building blocks. Inf. Sci. 179(10): 1426-1440 (2009)
j1		Pablo A. D. Castro, Fernando J. Von Zuben: Multi-objective Bayesian Artificial Immune System: Empirical Evaluation and Comparative Analyses. J. Math. Model. Algorithms 8(2): 151-173 (2009)
c14		Pablo A. D. Castro, Fernando J. Von Zuben: Learning Bayesian networks to perform feature selection. IJCNN 2009: 467-473
	2008
c13		Pablo A. D. Castro, Fernando J. Von Zuben: Feature Subset Selection by Means of a Bayesian Artificial Immune System. HIS 2008: 561-566
c12		Pablo A. D. Castro, Fernando J. Von Zuben: MOBAIS: A Bayesian Artificial Immune System for Multi-Objective Optimization. ICARIS 2008: 48-59
	2007
c11		Pablo Alberto Dalbem de Castro, Fabrício Olivetti de França, Hamilton M. Ferreira, Fernando J. Von Zuben: Evaluating the Performance of a Biclustering Algorithm Applied to Collaborative Filtering - A Comparative Analysis. HIS 2007: 65-70
c10		Pablo Alberto Dalbem de Castro, Fabrício Olivetti de França, Hamilton M. Ferreira, Fernando J. Von Zuben: Applying Biclustering to Text Mining: An Immune-Inspired Approach. ICARIS 2007: 83-94
c9		Pablo A. D. de Castro, Fabrício Olivetti de França, Hamilton M. Ferreira, Fernando J. Von Zuben: Applying Biclustering to Perform Collaborative Filtering. ISDA 2007: 421-426
	2006
c8		Pablo A. D. Castro, Fernando J. Von Zuben: Bayesian Learning of Neural Networks by Means of Artificial Immune Systems. IJCNN 2006: 4831-4838
c7		Orides Morandin Jr., Pablo Alberto Dalbem de Castro, Edilson R. R. Kato, Heloisa A. Camargo: A Genetic Fuzzy System for Defining a Reactive Dispatching Rule for AGVs. SMC 2006: 56-61
	2005
c6		Pablo Alberto Dalbem de Castro, Fernando J. Von Zuben: An Immune-Inspired Approach to Bayesian Networks. HIS 2005: 23-28
c5		Pablo Alberto Dalbem de Castro, Guilherme Palermo Coelho, Marcelo F. Caetano, Fernando J. Von Zuben: Designing Ensembles of Fuzzy Classification Systems: An Immune-Inspired Approach. ICARIS 2005: 469-482
	2004
c4		Pablo Alberto Dalbem de Castro, Daniel Monegatto Santoro, Heloisa de Arruda Camargo, Maria do Carmo Nicoletti: Improving a Pittsburgh Leant Fuzzy Rule Base using Feature Subset Selection. HIS 2004: 180-185
c3		Pablo Alberto Dalbem de Castro, Heloisa de Arruda Camargo: A Study of the Reasoning Methods Impact on Genetic Learning and Optimization of Fuzzy Rules. SBIA 2004: 414-423
c2		Pablo Alberto Dalbem de Castro, Matheus Giovanni Pires, Heloisa de Arruda Camargo, Orides Morandin Jr., Edilson R. R. Kato: Genetic learning of fuzzy rules applied to sequencing problem of FMS. SMC (5) 2004: 4336-4341
	2003
c1		Matheus Giovanni Pires, Pablo Alberto Dalbem de Castro, Orides Morandin Jr., Heloisa de Arruda Camargo, Edilson R. R. Kato: A real time production sequencing rule for machines of a FMS using fuzzy logic. SMC 2003: 4381-4386

Coauthor Index

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