Marcílio Carlos Pereira de Souto

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 4

Top Venues

Imperial College London, UK (PHD)

Education History

Imperial College London, UK

PHD

Publications

Cristina Y. Morimoto, Aurora Trinidad Ramirez Pozo, Marcílio Carlos Pereira de Souto
An adaptive evolutionary multi-objective clustering based on the data properties of the base partitions. Expert Syst. Appl. 245 (2024)
Cristina Y. Morimoto, Aurora T. R. Pozo, Marcílio Carlos Pereira de Souto
Detecting Nested Structures Through Evolutionary Multi-objective Clustering. EvoApplications (2022)
Cristina Y. Morimoto, Aurora T. R. Pozo, Marcílio Carlos Pereira de Souto
An Analysis of the Admissibility of the Objective Functions Applied in Evolutionary Multi-objective Clustering. CoRR (2022)
Ana Carolina Lorena, Luís Paulo F. Garcia, Jens Lehmann, Marcílio Carlos Pereira de Souto, Tin Kam Ho
How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity. ACM Comput. Surv. 52 (5) (2019)
Ana Carolina Lorena, Marcílio Carlos Pereira de Souto
On Measuring the Complexity of Classification Problems. ICONIP (1) (2015)
Jane Piantoni, Katti Faceli, Tiemi C. Sakata, Julio C. Pereira, Marcílio Carlos Pereira de Souto
Impact of Base Partitions on Multi-objective and Traditional Ensemble Clustering Algorithms. ICONIP (1) (2015)
Marcílio Carlos Pereira de Souto, Pablo A. Jaskowiak, Ivan G. Costa
Impact of missing data imputation methods on gene expression clustering and classification. BMC Bioinform. 16 (2015)
Katti Faceli, Tiemi C. Sakata, André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto
PVis - Partitions' visualizer: Extracting knowledge by visualizing a collection of partitions. IJCNN (2014)
Ana Carolina Lorena, Ivan G. Costa, Newton Spolaôr, Marcílio Carlos Pereira de Souto
Analysis of complexity indices for classification problems: Cancer gene expression data. Neurocomputing 75 (1) (2012)
Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Marley M. B. R. Vellasco
Automatic parameters selection in machine learning. Neurocomputing 75 (1) (2012)
Marcílio Carlos Pereira de Souto, Ana Carolina Lorena, Newton Spolaôr, Ivan Gesteira Costa
Complexity measures of supervised classifications tasks: A case study for cancer gene expression data. IJCNN (2010)
Marley M. B. R. Vellasco, Marcílio Carlos Pereira de Souto, André Carlos Ponce de Leon Ferreira de Carvalho
Special issue for the SBRN Guest Editorial. Neurocomputing 73 (16-18) (2010)
Tiemi C. Sakata, Katti Faceli, Marcílio Carlos Pereira de Souto, André Carlos Ponce de Leon Ferreira de Carvalho
Improvements in the Partitions Selection Strategy for Set of Clustering Solutions. SBRN (2010)
Katti Faceli, Tiemi C. Sakata, Marcílio Carlos Pereira de Souto, André Carlos Ponce de Leon Ferreira de Carvalho
Partitions selection strategy for set of clustering solutions. Neurocomputing 73 (16-18) (2010)
Katti Faceli, Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, André Carlos Ponce de Leon Ferreira de Carvalho
Multi-objective clustering ensemble for gene expression data analysis. Neurocomputing 72 (13-15) (2009)
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)
Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Wilson Rosa de Oliveira
On a hybrid weightless neural system. Int. J. Bio Inspired Comput. 1 (1/2) (2009)
Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto
Use of multi-objective genetic algorithms to investigate the diversity/accuracy dilemma in heterogeneous ensembles. IJCNN (2009)
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)
Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto
The diversity/accuracy dilemma: An empirical analysis in the context of heterogeneous ensembles. IEEE Congress on Evolutionary Computation (2009)
André Carlos Ponce de Leon Ferreira de Carvalho, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto
Brazilian Symposium on Neural Networks (SBRN2006). Neurocomputing 71 (16-18) (2008)
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)
Karliane M. O. Vale, Filipe G. Dias, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto
A Class-Based Feature Selection Method for Ensemble Systems. HIS (2008)
Ana Carolina Lorena, Ivan G. Costa, Marcílio Carlos Pereira de Souto
On the Complexity of Gene Expression Classification Data Sets. HIS (2008)
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 Bioinform. 9 (2008)
Katti Faceli, Marcílio Carlos Pereira de Souto, André Carlos Ponce de Leon Ferreira de Carvalho
A Strategyfor the Selection of Solutions of the Pareto Front Approximation in Multi-objective Clustering Approaches. SBRN (2008)
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)
Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Wilson Rosa de Oliveira
Weightless Neural Networks: Knowledge-Based Inference System. SBRN (2008)
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)
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)
Ivan G. Costa, Marcílio Carlos Pereira de Souto, Alexander Schliep
Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information. BSB (2007)
Katti Faceli, André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto
Multi-Objective Clustering Ensemble with Prior Knowledge. BSB (2007)
Lucas M. Oliveira, Raul Benites 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)
Katti Faceli, André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto
Multi-objective clustering ensemble. Int. J. Hybrid Intell. Syst. 4 (3) (2007)
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)
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)
Welbson S. Costa, Mateus S. de Assis, Marcílio Carlos Pereira de Souto
Extracting Symbolic Rules from Clustering of Gene Expression Data. HIS (2006)
Katti Faceli, André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto
Multi-Objective Clustering Ensemble. HIS (2006)
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)
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)
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)
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)
Kelly P. da Silva, Meika I. Monteiro, Marcílio Carlos Pereira de Souto
In silico prediction of promoter sequences of Bacillus species. IJCNN (2006)
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)
Shirlly C. M. Silva, Daniel S. A. de Araujo, Raul Benites 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)
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)
Katti Faceli, André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto
Evaluation of the Contents of Partitions Obtained with Clustering Gene Expression Data. BSB (2005)
Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira
Equivalence between RAM-based neural networks and probabilistic automata. IEEE Trans. Neural Networks 16 (4) (2005)
Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto
Introduction by Guest Editors. Int. J. Neural Syst. 13 (2) (2003)
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)
Wilson Rosa de Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir
Turing Machines with Finite Memory. SBRN (2002)
Akio Yamazaki, Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto
Global Optimization Methods for Designing and Training Neural Networks. SBRN (2002)
José Carlos Martins Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir
Implementation of Probabilistic Automata in Weightless Neural Networks. SBRN (2002)
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. J. Intell. Fuzzy Syst. 13 (2-4) (2002)
Wilson Rosa de Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir
Turing's analysis of computation and artificial neural networks. J. Intell. Fuzzy Syst. 13 (2-4) (2002)
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)
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)
Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto
The VIIth Brazilian Symposium on Neural Networks (SBRN'02). J. Intell. Fuzzy Syst. 13 (2-4) (2002)
Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir, Marcília A. Campos
Encoding of Probabilistic Automata into RAM-Based Neural Networks. IJCNN (3) (2000)
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) (1999)
Marcílio Carlos Pereira de Souto, Paulo J. L. Adeodato
Learnability in Sequential RAM-based Neural Networks. SBRN (1998)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marcílio Carlos Pereira de Souto