Marcilio C. P. de Souto

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	All	Since 2016
Citations	1799	801
h-index	21	14
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Co-authors

Ivan G. CostaProfessor, Institute of Computational Genomics, RWTH AachenVerified email at rwth-aachen.de
Andre Carlos Ponce de Leon Ferreira...Professor of Computer Science, Universidade de São PauloVerified email at icmc.usp.br
Katti FaceliProfessor de Ciência da Computação, Universidade Federal de São CarlosVerified email at ufscar.br
Daniel Sabino A. de AraújoUniversidade Federal do Rio Grande do NorteVerified email at imd.ufrn.br
Ana Carolina LorenaInstituto Tecnológico de AeronáuticaVerified email at ita.br
Alexander SchliepAssociate Professor, Gothenburg UniversityVerified email at schlieplab.org
Wilson de OliveiraDepartamento de Estatística e Informática - UFRPEVerified email at ufrpe.br
Francisco de Assis Tenorio de CarvalhoProfessor of Computer Science, Universidade Federal de PernambucoVerified email at cin.ufpe.br
Ricardo Bastos C. PrudencioCentro de Informática - UFPE - BrasilVerified email at cin.ufpe.br
Tiemi SakataProfessor de Ciência da Computação, UFSCar-SorocabaVerified email at ufscar.br
Márjory Da Costa-AbreuSenior Lecturer in Artificial Intelligence at Sheffield Hallam University (UK)Verified email at exchange.shu.ac.uk
Newton SpolaôrWestern Paraná State UniversityVerified email at unioeste.br
Pablo Andretta JaskowiakFederal University of Santa Catarina (UFSC)Verified email at ufsc.br
A DelbemUniversity of Sao PauloVerified email at icmc.usp.br
André L. V. CoelhoProfessor at the Graduate Program in Applied Informatics, University of FortalezaVerified email at unifor.br
Paulo J L AdeodatoProf. Computer Science UFPE, Visiting Professor Stanford School of MedicineVerified email at cin.ufpe.br
Luiz Marcos Garcia GoncalvesUniversidade Federal do Rio Grande do NorteVerified email at dca.ufrn.br
Antônio de Pádua BragaUniversidade Federal de Minas Gerais, BrasilVerified email at ufmg.br
Lucymara Fassarella Agnez Limaprofessora titular do Departamento de Biologia Celular e Genética, UFRNVerified email at ufrnet.br
Lucas OliveiraPhilips Research North AmericaVerified email at philips.com

Marcilio C. P. de Souto

LIFO/Univ. Orleans, France

Verified email at univ-orleans.fr - Homepage

Machine learning bioinformatics clustering neural networks supervised learning


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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	409	2008
Multi-objective clustering ensemble K Faceli, AC De Carvalho, MC De Souto International Journal of Hybrid Intelligent Systems 4 (3), 145-156, 2007	95	2007
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	84	2008
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	79	2004
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	75	2015
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	66	2002
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	58	2006
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	56	2009
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	52	2019
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	51	2008
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	49	2006
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	45	2003
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	43	2012
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	27	2007
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	24	2009
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	23	2011
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	23	2009
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	23	2001
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	22	2012
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	22	2008

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