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Pablo Alberto Dalbem de Castro
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2010 – 2019
- 2015
- [j8]Pablo A. D. Castro:
Immune-inspired extreme learning machine: Performance evaluation and conceptual analyses. Int. J. Hybrid Intell. Syst. 12(1): 1-12 (2015) - 2013
- [j7]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) - [c21]Pablo A. D. Castro:
Synergy between Extreme Learning Machine and Gaussian artificial immune system to train multilayer perceptrons. NaBIC 2013: 153-160 - 2011
- [j6]Pablo Alberto Dalbem de Castro
, Fernando J. Von Zuben
Learning Ensembles of Neural Networks by Means of a Bayesian Artificial Immune System. IEEE Trans. Neural Networks 22(2): 304-316 (2011) - [c20]Pablo A. D. Castro
Training multilayer perceptrons with a Gaussian Artificial Immune System. IEEE Congress on Evolutionary Computation 2011: 1250-1257 - [c19]Pablo A. D. Castro
Designing fuzzy rule bases with a Bayesian Artificial Immune System. HIS 2011: 584-589 - 2010
- [j5]Pablo A. D. Castro
Multi-objective feature selection using a Bayesian artificial immune system. Int. J. Intell. Comput. Cybern. 3(2): 235-256 (2010) - [j4]Fabrício Olivetti de França, Guilherme Palermo Coelho
Conceptual and Practical Aspects of the aiNet Family of Algorithms. Int. J. Nat. Comput. Res. 1(1): 1-35 (2010) - [j3]Pablo Alberto Dalbem de Castro
Query expansion using an immune-inspired biclustering algorithm. Nat. Comput. 9(3): 579-602 (2010) - [c18]Pablo A. D. Castro
A Gaussian Artificial Immune System for Multi-Objective optimization in continuous domains. HIS 2010: 159-164 - [c17]Pablo A. D. Castro
GAIS: A Gaussian Artificial Immune System for Continuous Optimization. ICARIS 2010: 171-184
2000 – 2009
- 2009
- [j2]Pablo Alberto Dalbem de Castro
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
Multi-objective Bayesian Artificial Immune System: Empirical Evaluation and Comparative Analyses. J. Math. Model. Algorithms 8(2): 151-173 (2009) - [c16]Pablo A. D. Castro
Learning Bayesian networks to perform feature selection. IJCNN 2009: 467-473 - 2008
- [c15]Pablo A. D. Castro
Feature Subset Selection by Means of a Bayesian Artificial Immune System. HIS 2008: 561-566 - [c14]Pablo A. D. Castro
MOBAIS: A Bayesian Artificial Immune System for Multi-Objective Optimization. ICARIS 2008: 48-59 - 2007
- [c13]Pablo Alberto Dalbem de Castro, Fabrício Olivetti de França
Evaluating the Performance of a Biclustering Algorithm Applied to Collaborative Filtering - A Comparative Analysis. HIS 2007: 65-70 - [c12]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 - [c11]Pablo A. D. de Castro, Fabrício Olivetti de França
Applying Biclustering to Perform Collaborative Filtering. ISDA 2007: 421-426 - 2006
- [c10]Pablo A. D. Castro, Fernando J. Von Zuben:
Bayesian Learning of Neural Networks by Means of Artificial Immune Systems. IJCNN 2006: 4831-4838 - [c9]Orides Morandin Jr., Pablo Alberto Dalbem de Castro
A Genetic Fuzzy System for Defining a Reactive Dispatching Rule for AGVs. SMC 2006: 56-61 - 2005
- [c8]Pablo A. D. Castro, Heloisa A. Camargo:
Focusing on Interpretability and Accuracy of a Genetic Fuzzy System. FUZZ-IEEE 2005: 696-701 - [c7]Pablo Alberto Dalbem de Castro
An Immune-Inspired Approach to Bayesian Networks. HIS 2005: 23-28 - [c6]Pablo Alberto Dalbem de Castro, Guilherme Palermo Coelho
Designing Ensembles of Fuzzy Classification Systems: An Immune-Inspired Approach. ICARIS 2005: 469-482 - 2004
- [c5]Pablo A. D. Castro
Learning and optimization of fuzzy rule base by means of self-adaptive genetic algorithm. FUZZ-IEEE 2004: 1037-1042 - [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
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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