Pablo Dalbem de Castro

Pablo Dalbem de Castro DCA-FEEC-UNICAMP Campinas, São Paulo, Brazil
Phone: +55 (19) 3521-3885





Last update: 10/01/2012


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Journal Papers

CASTRO, P.A.D. and Fernando J. Von Zuben. "Learning Ensembles of Neural Networks by Means of a Bayesian Artificial Immune System". IEEE Transactions on Neural Networks, vol. 22, n. 2, pp.304-316, 2011.

CASTRO, P.A.D. and VON ZUBEN, F. J. "Multi-objective feature selection using a Bayesian Artificial Immune System", Journal of Intelligent Computing and Cybernetics, vol. 3, num. 2, pp. 235-256, 2010.

de FRANÇA, F.O., COELHO, G.P., CASTRO, P.A.D., and VON ZUBEN, F. J. "Conceptual and Practical Aspects of the aiNet Family of Algorithms". International Journal of Natural Computing Research, vol. 1, n. 1, pp. 1-35, 2010.

CASTRO, P.A.D., de FRANÇA, F.O., FERREIRA, H.M., COELHO, G.P. and VON ZUBEN, F. J. "Query Expansion Using an Immune-Inspired Biclustering Algorithm". Natural Computing, v. 9(3), pp. 579-602, 2010.

CASTRO, P.A.D. and VON ZUBEN, F. J. "BAIS: A Bayesian Artificial Immune System for Effective Handling of Building Blocks". Information Sciences Journal, v. 179, issue 10, pp. 1426-1440, 2009.

CASTRO, P.A.D. and VON ZUBEN, F. J. "Multi-objective Bayesian Artificial Immune System: Empirical Evaluation and Comparative Analyses" Journal of Mathematical Modelling and Algorithms, vol.8, pp. 151-173, 2009.

Conference Papers

CASTRO, P.A.D., CAMARGO, H.A. and VON ZUBEN, F. J. "Designing Fuzzy Rule Bases with a Bayesian Artificial Immune System", Proc. of the 11th International Conference on Hybrid Intelligent Systems (HIS), Malacca, Malaysia, 2011.

CASTRO, P.A.D. and VON ZUBEN, F. J. "Training Multilayer Perceptrons with a Gaussian Artificial Immune System", Proc. of the IEEE 2011 International Congress on Evolutionary Computation (CEC), New Orleans, USA, 2011.

CASTRO, P.A.D. and VON ZUBEN, F. J. "A Gaussian Artificial Immune System for Multi-Objective Optimization in Continuous Domains", Proc. of the 10th International Conference on Hybrid Intelligent Systems (HIS), pp. 159-164, Atlanta, USA, 2010.

CASTRO, P.A.D. and VON ZUBEN, F. J. "GAIS: A Gaussian Artificial Immune System for Continuous Optimization", Proc. of the 9th International Conference on Artificial Immune Systems (ICARIS), pp. 171-184, Edinburgh, Scotland, 2010.

CASTRO, P.A.D. and VON ZUBEN, F. J. "Learning Bayesian Networks to Perform Feature Selection" , International Joint Conference on Neural Networks (IJCNN), Atlanta, USA, June 14-19, pp. 467-473, 2009.

CASTRO, P.A.D. and VON ZUBEN, F. J. "Feature Subset Selection by means of a Bayesian Artificial Immune System", Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS), pp. 561-566, Barcelona, Spain, September 10-12, 2008.

CASTRO, P.A.D. and VON ZUBEN, F. J. "MOBAIS: A Bayesian Artificial Immune System for Multi-objective Optimization", 7th International Conference on Artificial Immune System (ICARIS), pp. 48-59, Thailand, 2008.

CASTRO, P.A.D.; de FRANÇA, F. O.; FERREIRA, H. M. and VON ZUBEN, F. J. "Evaluating the Performance of a Biclustering Algorithm Applied to Collaborative Filtering – A Comparative Analysis", Proceedings of the 7th International Conference on Hybrid Intelligent Systems (HIS), pp. 65-70, Kaiserslautern, Germany, September 17-19, 2007.

CASTRO, P.A.D.; de FRANÇA, F. O.; FERREIRA, H. M. and VON ZUBEN, F. J. "Applying Biclustering to Text Mining: An Immune-Inspired Approach", Proceedings of the 6th International Conference on Artificial Immune Systems (ICARIS), pp. 83-94, Santos, Brazil, August 2007.

CASTRO, P.A.D.; de FRANÇA, F. O.; FERREIRA, H. M. and VON ZUBEN, F. J. "Applying Biclustering to Perform Collaborative Filtering", Proceedings of the 7th International Conference on Intelligent Systems Design and Applications (ISDA),  pp. 421-426, Rio de Janeiro, Brazil, October 2007.

CASTRO, P.A.D. and VON ZUBEN, F. J. "Bayesian Learning of Neural Networks by Means of Artificial Immune Systems", Proceedings of the 5th International Joint Conference on Neural Networks (IJCNN),  Vancouver, Canada, July 2006.

LIMA, C. A. M.;  CASTRO, P. A. D.; COELHO, A. L. V.; JUNQUEIRA, C. and VON ZUBEN, F. J. "Controlling Nonlinear Dynamic Systems with Projection Pursuit Learning", 3rd IEEE International Conference on Intelligent Systems, Varna, Bulgaria, September, 2006.

MORANDIN, O.; CASTRO, P. A. D. ; CAMARGO, H. A.; KATO, E. R. "A Genetic Fuzzy System for Defining a Reactive Dispatching Rule for AGVs".  Proceedings of the 2006 IEEE International Conference on Systems, Man and Cybernetics, Taipei, Taiwan, Octuber 8-11, 2006.

CASTRO, P.A.D. and VON ZUBEN, F. J. "An Immune-Inspired Approach to Bayesian Networks", In: N. Nedjah et al. (eds), Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS), pp.23-28, ISBN: 0-7695-2457-5, Rio de Janeiro, Brazil, November 2005.

CASTRO, P.A.D.; COELHO, G. P.; CAETANO, M. F.; VON ZUBEN, F. J. "Designing Ensembles of Fuzzy Classification Systems: An Immune-Inspired Approach", In Jacob, C.; Pilat, M.L.; Bentley, P.J and Timmis, J. (eds.) Proceedings of the 4th International Conference on Artificial Immune Systems (ICARIS), Lecture Notes in Computer Science, Springer-Verlag, Berlin, vol. 3627, pp. 469-482, 2005. ISBN:3-540-28175-4.

CASTRO, P.A.D. and CAMARGO, H.A. "An Heuristic Approach for generation of initial population of a Genetic Algorithm", IEEE International Conference of NAFIPS, Ann Arbor, Michigan, USA, 22-25 June 2005.

CASTRO, P.A.D.; CAMARGO, H.A. "Focusing on Interpretability and Accuracy of a Genetic Fuzzy System", Proceedings of IEEE International Conference on Fuzzy System (FUZZ-IEEE), Reno-Nevada, 22-25 May 2005.

COELHO, G. P.; CASTRO, P.A.D.; Von Zuben, F. J.; "The Effective Use of Diverse Rule Bases in Fuzzy Classification", VII Congresso Brasileiro de Redes Neurais (CBRN), Natal, Rio Grande do Norte, 2005.

CASTRO, P.A.D.; CAMARGO, H.A; "Improving the genetic optimization of fuzzy rule base by imposing a constraint condition on the number of rules", V Artificial Intelligence National Meeting (ENIA), pp. 972-981, São Leopoldo, Rio Grande de Sul, 2005.

CASTRO, P.A.D.; CAMARGO, H.A. "Learning and Optimization of Fuzzy Rule Base by means of Self Adaptive Genetic Algorithms", Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Vol. 2, pp. 1037-1042, Budapest, Hungary, 25-29 July 2004.

CAMARGO, H.A; PIRES, M.G.; CASTRO, P.A.D. "Genetic Design of Fuzzy Knowledge Bases - a study of different approaches", 23rd IEEE International Conference of North American Fuzzy Information Processing Society (NAFIPS), Vol. 2, pp.954-959, Alberta,Canada, 27-30 June 2004.

CASTRO, P.A.D.; PIRES, M.G.; CAMARGO, H.A; MORANDIN, O. "Genetic Learning of Fuzzy Rules Applied to Sequencing Problem of FMS", IEEE International Conference on Systems, Man, and Cybernetics, Vol. 5, pp. 4336-4341, The Hague, Netherlands, 10-13 October 2004.

CASTRO, P.A.D.; SANTORO, D.M.; CAMARGO, H.A.; NICOLETTI, M.C. "Improving a Pittsburgh Learnt Fuzzy Rule Base Using Feature Subset Selection", Proceedings of 4th International Conference on Hybrid Intelligent Systems (HIS), pp.180-185, Kitakyushu, Japan, 05-08 December 2004.

CASTRO, P.A.D.; CAMARGO, H.A; "A study of the impact of reasoning methods on the genetic learning and optimization of fuzzy rule bases", In Bazzan, A.L.C. and Labidi, S. (eds.) Proceedings of the 17th Brazilian Symposium on Artificial Intelligence - (SBIA), Lecture Notes in Artificial Intelligence, vol. 3171, pp. 414-423, Springer-Verlag, Berlin, 2004.

CASTRO, P.A.D.; CAMARGO, H.A; "Um Paradigma Baseado em Algoritmos Genéticos para o Aprendizado de Regras Fuzzy",  II WTDIA, São Luis, Maranhão, 2004.

PIRES, M.G.; CASTRO, P.A.D.; MORANDIN, O.; CAMARGO, H.A. "A Real Time Sequencing Rule for Machines of a FMS using Fuzzy Logic", IEEE International Conference on Systems, Man, and Cybernetics, Washington, EUA, 2003.

CASTRO, P.A.D.; PIRES, M.G.; CAMARGO, H.A. "Aprendizado e Seleção de Regras Fuzzy usando Algoritmos Genéticos", VI Brazilian Symposium on Intelligent Automation (SBAI), Bauru, São Paulo, 2003.

CASTRO, P.A.D. "Um Paradigma Baseado em Algoritmos Genéticos para o Aprendizado de Regras Fuzzy", II Congresso de Pós-Graduação da UFSCar, São Carlos, São Paulo, 2003.