Marcilio C. P. de Souto
Marcilio C. P. de Souto
LIFO/Univ. Orleans, France
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Clustering cancer gene expression data: a comparative study
MCP de Souto, IG Costa, DSA de Araujo, TB Ludermir, A Schliep
BMC bioinformatics 9 (1), 1-14, 2008
4232008
Multi-objective clustering ensemble
K Faceli, AC De Carvalho, MC De Souto
International Journal of Hybrid Intelligent Systems 4 (3), 145-156, 2007
972007
Ranking and selecting clustering algorithms using a meta-learning approach
MCP De Souto, RBC Prudencio, RGF Soares, DSA De Araujo, IG Costa, ...
2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008
892008
Impact of missing data imputation methods on gene expression clustering and classification
MCP De Souto, PA Jaskowiak, IG Costa
BMC bioinformatics 16 (1), 1-9, 2015
872015
Comparative analysis of clustering methods for gene expression time course data
IG Costa, FAT de Carvalho, MCP de Souto
Genetics and Molecular Biology 27 (4), 623-631, 2004
842004
Optimization of neural network weights and architectures for odor recognition using simulated annealing
A Yamazaki, MCP De Souto, TB Ludermir
Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002
682002
How complex is your classification problem? a survey on measuring classification complexity
AC Lorena, LPF Garcia, J Lehmann, MCP Souto, TK Ho
ACM Computing Surveys (CSUR) 52 (5), 1-34, 2019
662019
Using accuracy and diversity to select classifiers to build ensembles
RGF Soares, A Santana, AMP Canuto, MCP de Souto
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
592006
Multi-objective clustering ensemble for gene expression data analysis
K Faceli, MCP de Souto, DSA de Araujo, AC de Carvalho
Neurocomputing 72 (13-15), 2763-2774, 2009
562009
Comparative study on normalization procedures for cluster analysis of gene expression datasets
MCP De Souto, DSA De Araujo, IG Costa, RGF Soares, TB Ludermir, ...
2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008
562008
Técnicas de aprendizado de máquina para problemas de biologia molecular
MCP De Souto, AC Lorena, ACB Delbem, A de Carvalho
Sociedade Brasileira de Computaçao 1 (2), 2003
502003
A dynamic classifier selection method to build ensembles using accuracy and diversity
A Santana, RGF Soares, AMP Canuto, MCP de Souto
2006 Ninth Brazilian Symposium on Neural Networks (SBRN'06), 36-41, 2006
492006
Analysis of complexity indices for classification problems: Cancer gene expression data
AC Lorena, IG Costa, N Spolaôr, MCP De Souto
Neurocomputing 75 (1), 33-42, 2012
482012
A comparative analysis of feature selection methods for ensembles with different combination methods
LEA Santana, DF de Oliveira, AMP Canuto, MCP de Souto
2007 International Joint Conference on Neural Networks, 643-648, 2007
272007
A comparison of external clustering evaluation indices in the context of imbalanced data sets
MCP de Souto, ALV Coelho, K Faceli, TC Sakata, V Bonadia, IG Costa
2012 Brazilian Symposium on Neural Networks, 49-54, 2012
262012
Mining rules for the automatic selection process of clustering methods applied to cancer gene expression data
ACA Nascimento, RBC Prudêncio, MCP De Souto, IG Costa
International Conference on Artificial Neural Networks, 20-29, 2009
252009
Selecting machine learning algorithms using the ranking meta-learning approach
RBC Prudêncio, MCP De Souto, TB Ludermir
Meta-learning in computational intelligence, 225-243, 2011
242011
Use of multi-objective genetic algorithms to investigate the diversity/accuracy dilemma in heterogeneous ensembles
DF de Oliveira, AMP Canuto, MCP de Souto
2009 International Joint Conference on Neural Networks, 2339-2346, 2009
232009
Classification of vintages of wine by artificial nose using time delay neural networks
A Yamazaki, TB Ludermir, MCP De Souto
Electronics Letters 37 (24), 1466-1467, 2001
232001
Empirical comparison of dynamic classifier selection methods based on diversity and accuracy for building ensembles
MCP de Souto, RGF Soares, A Santana, AMP Canuto
2008 IEEE international joint conference on neural networks (IEEE world …, 2008
222008
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Artikelen 1–20