Marcílio Carlos Pereira de Souto

	2009
42		Ivan G. Costa, Ana Carolina Lorena, Liciana R. M. P. y Peres, Marcílio Carlos Pereira de Souto: Using Supervised Complexity Measures in the Analysis of Cancer Gene Expression Data Sets. BSB 2009: 48-59
41		André C. A. Nascimento, Ricardo Bastos Cavalcante Prudêncio, Marcílio Carlos Pereira de Souto, Ivan G. Costa: Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data. ICANN (2) 2009: 20-29
	2008
40		Marley Maria Bernardes Rebuzzi Vellasco, Marcílio Carlos Pereira de Souto, Jés Jesus Fiais Cerqueira: 10th Brazilian Symposium on Neural Networks (SBRN 2008), Salvador, Bahia, Brazil, October 26-30, 2008 IEEE Computer Society 2008
39		Marcílio Carlos Pereira de Souto, Rodrigo G. F. Soares, Alixandre Santana, Anne M. P. Canuto: Empirical comparison of Dynamic Classifier Selection methods based on diversity and accuracy for building ensembles. IJCNN 2008: 1480-1487
38		Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, Ivan G. Costa, Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Alexander Schliep: Comparative study on normalization procedures for cluster analysis of gene expression datasets. IJCNN 2008: 2792-2798
37		Marcílio Carlos Pereira de Souto, Ricardo Bastos Cavalcante Prudêncio, Rodrigo G. F. Soares, Daniel S. A. de Araujo, Ivan G. Costa, Teresa Bernarda Ludermir, Alexander Schliep: Ranking and selecting clustering algorithms using a meta-learning approach. IJCNN 2008: 3729-3735
36		Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Wilson Rosa de Oliveira: Weightless Neural Networks: Knowledge-Based Inference System. SBRN 2008: 207-212
35		Katti Faceli, Marcílio Carlos Pereira de Souto, André Carlos Ponce Leon Ferreira de Carvalho: A Strategyfor the Selection of Solutions of the Pareto Front Approximation in Multi-objective Clustering Approaches. SBRN 2008: 27-32
34		Marcílio Carlos Pereira de Souto, Ivan G. Costa, Daniel S. A. de Araujo, Teresa Bernarda Ludermir, Alexander Schliep: Clustering cancer gene expression data: a comparative study. BMC Bioinformatics 9: (2008)
	2007
33		Katti Faceli, André Carlos Ponce Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto: Multi-Objective Clustering Ensemble with Prior Knowledge. BSB 2007: 34-45
32		Ivan G. Costa, Marcílio Carlos Pereira de Souto, Alexander Schliep: Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information. BSB 2007: 81-92
31		Lucas M. Oliveira, Raul B. Paradeda, Bruno M. Carvalho, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto: Particle Detection on Election Microscopy Micrographs Using Multi-Classifier Systems. HIS 2007: 216-221
30		Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto: Investigating the Use of an Evolutionary Agent-based System for Classification Tasks. IJCNN 2007: 1266-1271
29		Laura Emmanuella A. Santana, Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto: A Comparative Analysis of Feature Selection Methods for Ensembles with Different Combination Methods. IJCNN 2007: 643-648
28		Katti Faceli, André Carlos Ponce Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto: Multi-objective clustering ensemble. Int. J. Hybrid Intell. Syst. 4(3): 145-156 (2007)
	2006
27		Anne M. P. Canuto, Marcílio Carlos Pereira de Souto, Antônio C. Roque-da-Silva: SBRN 2006, The Ninth Brazilian Symposium on Neural Networks, Ribeirão Petro, SP, Brazil, October 23-27, 2006 IEEE Computer Society 2006
26		Welbson S. Costa, Mateus S. de Assis, Marcílio Carlos Pereira de Souto: Extracting Symbolic Rules from Clustering of Gene Expression Data. HIS 2006: 12
25		Katti Faceli, André Carlos Ponce Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto: Multi-Objective Clustering Ensemble. HIS 2006: 51
24		Thiago Dutra, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto: Using Weighted Combination-Based Methods in Ensembles with Different Levels of Diversity. ICONIP (1) 2006: 708-717
23		Marcílio Carlos Pereira de Souto, Valnaide G. Bittencourt, José Alfredo Ferreira Costa: An Empirical Analysis of Under-Sampling Techniques to Balance a Protein Structural Class Dataset. ICONIP (3) 2006: 21-29
22		Rodrigo G. F. Soares, Alixandre Santana, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto: Using Accuracy and Diversity to Select Classifiers to Build Ensembles. IJCNN 2006: 1310-1316
21		Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, Bruno L. C. da Silva: Cluster Ensemble for Gene Expression Microarray Data: Accuracy and Diversity. IJCNN 2006: 2174-2180
20		Kelly P. da Silva, Meika I. Monteiro, Marcílio Carlos Pereira de Souto: In silico prediction of promoter sequences of Bacillus species. IJCNN 2006: 2319-2324
19		Alixandre Santana, Rodrigo G. F. Soares, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto: A Dynamic Classifier Selection Method to Build Ensembles using Accuracy and Diversity. SBRN 2006: 36-41
	2005
18		Shirlly C. M. Silva, Daniel S. A. de Araujo, Raul B. Paradeda, Valmar S. Severiano-Sobrinho, Marcílio Carlos Pereira de Souto: Individual Clustering and Homogeneous Cluster Ensemble Approaches Applied to Gene Expression Data. Australian Conference on Artificial Intelligence 2005: 930-933
17		Katti Faceli, André Carlos Ponce Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto: Evaluation of the Contents of Partitions Obtained with Clustering Gene Expression Data. BSB 2005: 65-76
16		Meika I. Monteiro, Marcílio Carlos Pereira de Souto, Luiz M. G. Gonçalves, Lucymara F. Agnez-Lima: Machine Learning Techniques for Predicting Bacillus subtilis Promoters. BSB 2005: 77-84
15		Teresa Bernarda Ludermir, C. R. S. Lopes, A. B. Ludermir, Marcílio Carlos Pereira de Souto: Neural Network Use for the Identification of Factors Related to Common Mental Disorders. ICANN (1) 2005: 653-658
	2003
14		Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto: Introduction by Guest Editors. Int. J. Neural Syst. 13(2): 55-57 (2003)
	2002
13		Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto: 7th Brazilian Symposium on Neural Networks (SBRN 2002), 11-14 November 2002, Recife, Brazil IEEE Computer Society 2002
12		C. R. S. Lopes, Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, A. B. Ludermir: Neural Networks for the analysis of Common Mental Disorders Factors. SBRN 2002: 114
11		Akio Yamazaki, Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto: Global Optimization Methods for Designing and Training Neural Networks. SBRN 2002: 136-141
10		José Carlos Martins Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir: Implementation of Probabilistic Automata in Weightless Neural Networks. SBRN 2002: 235
9		Ivan G. Costa, Francisco de A. T. de Carvalho, Marcílio Carlos Pereira de Souto: A Symbolic Approach to Gene Expression Time Series Analysis. SBRN 2002: 25-30
8		Wilson Rosa de Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir: Turing Machines with Finite Memory. SBRN 2002: 67-73
7		Ivan G. Costa, Francisco de A. T. de Carvalho, Marcílio Carlos Pereira de Souto: Stability Evaluation of Clustering Algorithms for Time Series Gene Expression Data. WOB 2002: 88-90
6		Ivan G. Costa, Francisco de A. T. de Carvalho, Marcílio Carlos Pereira de Souto: Comparative study on proximity indices for cluster analysis of gene expression time series. Journal of Intelligent and Fuzzy Systems 13(2-4): 133-142 (2002)
5		Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto: The VIIth Brazilian Symposium on Neural Networks (SBRN'02). Journal of Intelligent and Fuzzy Systems 13(2-4): 61-62 (2002)
4		Wilson Rosa de Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir: Turing's analysis of computation and artificial neural networks. Journal of Intelligent and Fuzzy Systems 13(2-4): 85-98 (2002)
	2000
3		Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir, Marcília A. Campos: Encoding of Probabilistic Automata into RAM-Based Neural Networks. IJCNN (3) 2000: 439-444
	1999
2		Marcílio Carlos Pereira de Souto, Paulo J. L. Adeodato, Teresa Bernarda Ludermir: Sequential RAM-based Neural Networks: Learnability, Generalisation, Knowledge Extraction, and Grammatical Inference. Int. J. Neural Syst. 9(3): 203-210 (1999)
	1998
1		Marcílio Carlos Pereira de Souto, Paulo J. L. Adeodato: Learnability in Sequential RAM-based Neural Networks. SBRN 1998: 20-25

Coauthor Index

1	Paulo J. L. Adeodato	[1] [2]
2	Lucymara F. Agnez-Lima	[16]
3	Daniel S. A. de Araujo	[18] [21] [34] [37] [38]
4	Mateus S. de Assis	[26]
5	Valnaide G. Bittencourt	[23]
6	Marcília A. Campos	[3]
7	Anne M. P. Canuto (Anne Magaly de Paula Canuto)	[19] [22] [24] [27] [29] [30] [31] [39]
8	André Carlos Ponce Leon Ferreira de Carvalho (André Carlos Ponce de Leon Ferreira de Carvalho, André C. P. L. F. Carvalho)	[17] [25] [28] [33] [35]
9	Bruno M. Carvalho	[31]
10	Francisco de A. T. de Carvalho	[6] [7] [9]
11	Jés Jesus Fiais Cerqueira	[40]
12	Ivan G. Costa	[6] [7] [9] [32] [34] [37] [38] [41] [42]
13	José Alfredo Ferreira Costa	[23]
14	Welbson S. Costa	[26]
15	Thiago Dutra	[24]
16	Katti Faceli	[17] [25] [28] [33] [35]
17	Luiz M. G. Gonçalves	[16]
18	C. R. S. Lopes	[12] [15]
19	Ana Carolina Lorena	[42]
20	A. B. Ludermir	[12] [15]
21	Teresa Bernarda Ludermir	[2] [3] [4] [5] [8] [10] [11] [12] [13] [14] [15] [34] [36] [37] [38]
22	Meika I. Monteiro	[16] [20]
23	André C. A. Nascimento	[41]
24	Diogo F. de Oliveira	[29] [30]
25	José Carlos Martins Oliveira	[10]
26	Lucas M. Oliveira	[31]
27	Wilson Rosa de Oliveira	[4] [8] [36]
28	Raul B. Paradeda	[18] [31]
29	Liciana R. M. P. y Peres	[42]
30	Ricardo Bastos Cavalcante Prudêncio	[37] [41]
31	Antônio C. Roque-da-Silva	[27]
32	Alixandre Santana	[19] [22] [39]
33	Laura Emmanuella A. Santana	[29]
34	Alexander Schliep	[32] [34] [37] [38]
35	Valmar S. Severiano-Sobrinho	[18]
36	Bruno L. C. da Silva	[21]
37	Kelly P. da Silva	[20]
38	Shirlly C. M. Silva	[18]
39	Rodrigo G. F. Soares	[19] [22] [37] [38] [39]
40	Marley Maria Bernardes Rebuzzi Vellasco (Marley B. R. Vellasco)	[40]
41	Akio Yamazaki	[11]

Colors in the list of coauthors