Marcílio Carlos Pereira de Souto

66 papers B 13C 5Journal 19Unranked 24

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	An adaptive evolutionary multi-objective clustering based on the data properties of the base partitions. Expert Syst. Appl. Cristina Y. Morimoto, Aurora Trinidad Ramirez Pozo, Marcílio Carlos Pereira de Souto
2022	J	`jnl`	An Analysis of the Admissibility of the Objective Functions Applied in Evolutionary Multi-objective Clustering. CoRR Cristina Y. Morimoto, Aurora T. R. Pozo, Marcílio Carlos Pereira de Souto
2022	B	`conf`	Detecting Nested Structures Through Evolutionary Multi-objective Clustering. EvoApplications Cristina Y. Morimoto, Aurora T. R. Pozo, Marcílio Carlos Pereira de Souto
2019	J	`jnl`	How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity. ACM Comput. Surv. Ana Carolina Lorena, Luís Paulo F. Garcia, Jens Lehmann, Marcílio Carlos Pereira de Souto, Tin Kam Ho
2015	—	`conf`	Impact of Base Partitions on Multi-objective and Traditional Ensemble Clustering Algorithms. ICONIP (1) Jane Piantoni, Katti Faceli, Tiemi C. Sakata, Julio C. Pereira, Marcílio Carlos Pereira de Souto
2015	J	`jnl`	Impact of missing data imputation methods on gene expression clustering and classification. BMC Bioinform. Marcílio Carlos Pereira de Souto, Pablo A. Jaskowiak, Ivan G. Costa
2015	—	`conf`	On Measuring the Complexity of Classification Problems. ICONIP (1) Ana Carolina Lorena, Marcílio Carlos Pereira de Souto
2014	B	`conf`	PVis - Partitions' visualizer: Extracting knowledge by visualizing a collection of partitions. IJCNN Katti Faceli, Tiemi C. Sakata, André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto
2012	—	`ed.`	Advances in Bioinformatics and Computational Biology - 7th Brazilian Symposium on Bioinformatics, BSB 2012, Campo Grande, Brazil, August 15-17, 2012. Proceedings BSB Marcílio Carlos Pereira de Souto, Maricel G. Kann
2012	J	`jnl`	Analysis of complexity indices for classification problems: Cancer gene expression data. Neurocomputing Ana Carolina Lorena, Ivan G. Costa, Newton Spolaôr, Marcílio Carlos Pereira de Souto
2012	J	`jnl`	Automatic parameters selection in machine learning. Neurocomputing Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Marley M. B. R. Vellasco
2010	B	`conf`	Complexity measures of supervised classifications tasks: A case study for cancer gene expression data. IJCNN Marcílio Carlos Pereira de Souto, Ana Carolina Lorena, Newton Spolaôr, Ivan Gesteira Costa
2010	—	`conf`	Improvements in the Partitions Selection Strategy for Set of Clustering Solutions. SBRN Tiemi C. Sakata, Katti Faceli, Marcílio Carlos Pereira de Souto, André Carlos Ponce de Leon Ferreira de Carvalho
2010	J	`jnl`	Partitions selection strategy for set of clustering solutions. Neurocomputing Katti Faceli, Tiemi C. Sakata, Marcílio Carlos Pereira de Souto, André Carlos Ponce de Leon Ferreira de Carvalho
2010	J	`jnl`	Special issue for the SBRN Guest Editorial. Neurocomputing Marley M. B. R. Vellasco, Marcílio Carlos Pereira de Souto, André Carlos Ponce de Leon Ferreira de Carvalho
2009	—	`conf`	Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data. ICANN (2) André C. A. Nascimento, Ricardo Bastos Cavalcante Prudêncio, Marcílio Carlos Pereira de Souto, Ivan G. Costa
2009	J	`jnl`	Multi-objective clustering ensemble for gene expression data analysis. Neurocomputing Katti Faceli, Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, André Carlos Ponce de Leon Ferreira de Carvalho
2009	J	`jnl`	On a hybrid weightless neural system. Int. J. Bio Inspired Comput. Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Wilson Rosa de Oliveira
2009	B	`conf`	The diversity/accuracy dilemma: An empirical analysis in the context of heterogeneous ensembles. IEEE Congress on Evolutionary Computation Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto
2009	B	`conf`	Use of multi-objective genetic algorithms to investigate the diversity/accuracy dilemma in heterogeneous ensembles. IJCNN Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto
2009	—	`conf`	Using Supervised Complexity Measures in the Analysis of Cancer Gene Expression Data Sets. BSB Ivan G. Costa, Ana Carolina Lorena, Liciana R. M. P. y Peres, Marcílio Carlos Pereira de Souto
2008	—	`ed.`	10th Brazilian Symposium on Neural Networks (SBRN 2008), Salvador, Bahia, Brazil, October 26-30, 2008 SBRN Marley Maria Bernardes Rebuzzi Vellasco, Marcílio Carlos Pereira de Souto, Jés Jesus Fiais Cerqueira
2008	C	`conf`	A Class-Based Feature Selection Method for Ensemble Systems. HIS Karliane M. O. Vale, Filipe G. Dias, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto
2008	—	`conf`	A Strategyfor the Selection of Solutions of the Pareto Front Approximation in Multi-objective Clustering Approaches. SBRN Katti Faceli, Marcílio Carlos Pereira de Souto, André Carlos Ponce de Leon Ferreira de Carvalho
2008	J	`jnl`	Brazilian Symposium on Neural Networks (SBRN2006). Neurocomputing André Carlos Ponce de Leon Ferreira de Carvalho, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto
2008	J	`jnl`	Clustering cancer gene expression data: a comparative study. BMC Bioinform. Marcílio Carlos Pereira de Souto, Ivan G. Costa, Daniel S. A. de Araujo, Teresa Bernarda Ludermir, Alexander Schliep
2008	B	`conf`	Comparative study on normalization procedures for cluster analysis of gene expression datasets. IJCNN Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, Ivan G. Costa, Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Alexander Schliep
2008	B	`conf`	Empirical comparison of Dynamic Classifier Selection methods based on diversity and accuracy for building ensembles. IJCNN Marcílio Carlos Pereira de Souto, Rodrigo G. F. Soares, Alixandre Santana, Anne M. P. Canuto
2008	C	`conf`	On the Complexity of Gene Expression Classification Data Sets. HIS Ana Carolina Lorena, Ivan G. Costa, Marcílio Carlos Pereira de Souto
2008	B	`conf`	Ranking and selecting clustering algorithms using a meta-learning approach. IJCNN 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
2008	—	`conf`	Weightless Neural Networks: Knowledge-Based Inference System. SBRN Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Wilson Rosa de Oliveira
2007	B	`conf`	A Comparative Analysis of Feature Selection Methods for Ensembles with Different Combination Methods. IJCNN Laura Emmanuella A. Santana, Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto
2007	B	`conf`	Investigating the Use of an Evolutionary Agent-based System for Classification Tasks. IJCNN Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto
2007	—	`conf`	Multi-Objective Clustering Ensemble with Prior Knowledge. BSB Katti Faceli, André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto
2007	J	`jnl`	Multi-objective clustering ensemble. Int. J. Hybrid Intell. Syst. Katti Faceli, André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto
2007	C	`conf`	Particle Detection on Election Microscopy Micrographs Using Multi-Classifier Systems. HIS Lucas M. Oliveira, Raul Benites Paradeda, Bruno M. Carvalho, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto
2007	—	`conf`	Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information. BSB Ivan G. Costa, Marcílio Carlos Pereira de Souto, Alexander Schliep
2006	—	`conf`	A Dynamic Classifier Selection Method to Build Ensembles using Accuracy and Diversity. SBRN Alixandre Santana, Rodrigo G. F. Soares, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto
2006	—	`conf`	An Empirical Analysis of Under-Sampling Techniques to Balance a Protein Structural Class Dataset. ICONIP (3) Marcílio Carlos Pereira de Souto, Valnaide G. Bittencourt, José Alfredo Ferreira Costa
2006	B	`conf`	Cluster Ensemble for Gene Expression Microarray Data: Accuracy and Diversity. IJCNN Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, Bruno L. C. da Silva
2006	C	`conf`	Extracting Symbolic Rules from Clustering of Gene Expression Data. HIS Welbson S. Costa, Mateus S. de Assis, Marcílio Carlos Pereira de Souto
2006	B	`conf`	In silico prediction of promoter sequences of Bacillus species. IJCNN Kelly P. da Silva, Meika I. Monteiro, Marcílio Carlos Pereira de Souto
2006	C	`conf`	Multi-Objective Clustering Ensemble. HIS Katti Faceli, André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto
2006	—	`ed.`	SBRN 2006, The Ninth Brazilian Symposium on Neural Networks, Ribeirão Preto, SP, Brazil, October 23-27, 2006 SBRN Anne M. P. Canuto, Marcílio Carlos Pereira de Souto, Antônio Carlos Roque-da-Silva
2006	B	`conf`	Using Accuracy and Diversity to Select Classifiers to Build Ensembles. IJCNN Rodrigo G. F. Soares, Alixandre Santana, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto
2006	—	`conf`	Using Weighted Combination-Based Methods in Ensembles with Different Levels of Diversity. ICONIP (1) Thiago Dutra, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto
2005	J	`jnl`	Equivalence between RAM-based neural networks and probabilistic automata. IEEE Trans. Neural Networks Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira
2005	—	`conf`	Evaluation of the Contents of Partitions Obtained with Clustering Gene Expression Data. BSB Katti Faceli, André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto
2005	—	`conf`	Individual Clustering and Homogeneous Cluster Ensemble Approaches Applied to Gene Expression Data. Australian Conference on Artificial Intelligence Shirlly C. M. Silva, Daniel S. A. de Araujo, Raul Benites Paradeda, Valmar S. Severiano-Sobrinho, Marcílio Carlos Pereira de Souto
2005	—	`conf`	Machine Learning Techniques for Predicting Bacillus subtilis Promoters. BSB Meika I. Monteiro, Marcílio Carlos Pereira de Souto, Luiz M. G. Gonçalves, Lucymara F. Agnez-Lima
2005	—	`conf`	Neural Network Use for the Identification of Factors Related to Common Mental Disorders. ICANN (1) Teresa Bernarda Ludermir, C. R. S. Lopes, A. B. Ludermir, Marcílio Carlos Pereira de Souto
2003	J	`jnl`	Introduction by Guest Editors. Int. J. Neural Syst. Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto
2002	—	`ed.`	7th Brazilian Symposium on Neural Networks (SBRN 2002), 11-14 November 2002, Recife, Brazil SBRN Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto
2002	—	`conf`	A Symbolic Approach to Gene Expression Time Series Analysis. SBRN Ivan G. Costa, Francisco de A. T. de Carvalho, Marcílio Carlos Pereira de Souto
2002	J	`jnl`	Comparative study on proximity indices for cluster analysis of gene expression time series. J. Intell. Fuzzy Syst. Ivan G. Costa, Francisco de A. T. de Carvalho, Marcílio Carlos Pereira de Souto
2002	—	`conf`	Global Optimization Methods for Designing and Training Neural Networks. SBRN Akio Yamazaki, Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto
2002	—	`conf`	Implementation of Probabilistic Automata in Weightless Neural Networks. SBRN José Carlos Martins Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir
2002	—	`conf`	Neural Networks for the analysis of Common Mental Disorders Factors. SBRN C. R. S. Lopes, Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, A. B. Ludermir
2002	—	`conf`	Stability Evaluation of Clustering Algorithms for Time Series Gene Expression Data. WOB Ivan G. Costa, Francisco de A. T. de Carvalho, Marcílio Carlos Pereira de Souto
2002	J	`jnl`	The VIIth Brazilian Symposium on Neural Networks (SBRN'02). J. Intell. Fuzzy Syst. Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto
2002	—	`conf`	Turing Machines with Finite Memory. SBRN Wilson Rosa de Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir
2002	J	`jnl`	Turing's analysis of computation and artificial neural networks. J. Intell. Fuzzy Syst. Wilson Rosa de Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir
2000	—	`conf`	Encoding of Probabilistic Automata into RAM-Based Neural Networks. IJCNN (3) Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir, Marcília A. Campos
1999	—	`—`	Computability and learnability in sequential weightless neural networks. Marcílio Carlos Pereira de Souto
1999	J	`jnl`	Sequential RAM-based Neural Networks: Learnability, Generalisation, Knowledge Extraction, and Grammatical Inference. Int. J. Neural Syst. Marcílio Carlos Pereira de Souto, Paulo J. L. Adeodato, Teresa Bernarda Ludermir
1998	—	`conf`	Learnability in Sequential RAM-based Neural Networks. SBRN Marcílio Carlos Pereira de Souto, Paulo J. L. Adeodato