Refereed national conference papers

1. Marcilio C. P. de Souto, André L. V. Coelho, Katti Faceli, Tiemi C. Sakata, Viviane Bonadia, and Ivan G. Costa. A comparison of external clustering evaluation indices in the context of imbalanced data sets. In 2012 Brazilian Symposium on Neural Networks, pages 49–54. IEEE Computer Society, 2012.
2. Ana Carolina Lorena, Newton Spolaôr, Ivan G. Costa, and Marcilio C. P. de Souto. On the complexity of gene marker selection. In 11th Brazilian Symposium on Neural Networks(SBRN 2010), pages 85–90. IEEE Computer Society, 2010.
3. Tiemi C. Sakata, Katti Faceli, Marcílio C. P. de Souto, and André de Carvalho. Improvements in the partitions selection strategy for set of clustering solutions. In 11th Brazilian Symposium on Neural Networks(SBRN 2010), pages 49–54. IEEE Computer Society, 2010.
4. Ivan G. Costa, Ana Carolina Lorena, Liciana R. M. P. y Peres, and Marcílio C. P. de Souto. Using supervised complexity measures in the analysis of cancer gene expression data sets. In Advances in Bioinformatics and Computational Biology, 4th Brazilian Symposium on Bioinformatics, BSB, volume 5676 of Lecture Notes in Computer Science, pages 48–59. Springer, 2009.
5. Teresa B. Ludermir, Marcílio C. P. de Souto, and Wilson Rosa de Oliveira. Weightless neural networks: Knowledge-based inference system. In 10th Brazilian Symposium on Neural Networks(SBRN 2008), pages 207–212. IEEE Computer Society, 2008.
6. Ivan G. Costa, Marcílio C. P. de Souto, and Alexander Schliep. Validating gene clusterings by selecting informative gene ontology terms with mutual information. In Advances in Bioinformatics and Computational Biology, Second Brazilian Symposium on Bioinformatics, BSB 2007, volume 4643 of Lecture Notes in Computer Science, pages 81–92. Springer, 2007.
7. Katti Faceli, André de Carvalho, and Marcílio C. P. de Souto. Multiobjective clustering ensemble with prior knowledge. In Advances in Bioinformatics and Computational Biology, Second Brazilian Symposium on Bioinformatics, BSB 2007, volume 4643 of Lecture Notes in Computer Science, pages 34–45. Springer, 2007.
8. Alixandre Santana, Rodrigo G. F. Soares, Anne M. P. Canuto, and Marcílio C. P. de Souto. A dynamic classifier selection method to build ensembles using accuracy and diversity. In SBRN 2006, The Ninth Brazilian Symposium on Neural Networks, pages 36–41. IEEE Computer Society, 2006.
9. Katti Faceli, André de Carvalho, and Marcílio C. P. de Souto. Evaluation of the contents of partitions obtained with clustering gene expression data. InAdvances in Bioinformatics and Computational Biology, Brazilian Symposium on Bioinformatics, BSB 2005, volume 3594 of Lecture Notes in Computer Science, pages 65–76. Springer, 2005.
10. Meika I. Monteiro, Marcílio C. P. de Souto, Luiz M. G. Gonçalves, and Lucymara F. Agnez-Lima. Machine learning techniques for predicting bacillus subtilis promoters. In Advances in Bioinformatics and Computational Biology, Brazilian Symposium on Bioinformatics, BSB 2005, volume 3594 of Lecture Notes in Computer Science, pages 77–84. Springer, 2005.
11. Ivan G. Costa, Francisco de Carvalho, and Marcílio C. P. de Souto. A symbolic approach to gene expression time series analysis. In 7th Brazilian Symposium on Neural Networks(SBRN 2002), pages 25–30. IEEE Computer Society, 2002.
12. Wilson Rosa de Oliveira, Marcílio C. P. de Souto, and Teresa Bernarda Ludermir. Turing machines with finite memory. In7th Brazilian Symposium on Neural Networks(SBRN 2002), pages67–73. IEEE Computer Society, 2002.
13. Akio Yamazaki, Teresa Bernarda Ludermir, and Marcílio Carlos Pereira de Souto. Global optimization methods for designing and training neural networks. In 7th Brazilian Symposium on Neural Networks(SBRN 2002), pages 136–141. IEEE Computer Society,2002.
14. Marcílio C. P. de Souto and Paulo J. L. Adeodato. Learnability in sequential ram-based neural networks. In 5th Brazilian Symposium on Neural Networks(SBRN ’98), pages 20–25. IEEE Computer Society,1998.