Learnability in Sequential RAM-based Neural Networks. - Marcílio Carlos Pereira de Souto; Paulo J. L. Adeodato (SBRN, 1998)

Sequential RAM-based Neural Networks: Learnability, Generalisation, Knowledge Extraction, and Grammatical Inference. - Marcílio Carlos Pereira de Souto; Paulo J. L. Adeodato; Teresa Bernarda Ludermir (Int. J. Neural Syst., 1999)

Computability and learnability in sequential weightless neural networks. - Marcílio Carlos Pereira de Souto (1999)

Encoding of Probabilistic Automata into RAM-Based Neural Networks. - Marcílio Carlos Pereira de Souto; Teresa Bernarda Ludermir; Marcília A. Campos (IJCNN (3), 2000)

A Symbolic Approach to Gene Expression Time Series Analysis. - Ivan G. Costa; Francisco de A. T. de Carvalho; Marcílio Carlos Pereira de Souto (SBRN, 2002)

Neural Networks for the analysis of Common Mental Disorders Factors. - C. R. S. Lopes; Teresa Bernarda Ludermir; Marcílio Carlos Pereira de Souto; A. B. Ludermir (SBRN, 2002)

Turing Machines with Finite Memory. - Wilson Rosa de Oliveira; Marcílio Carlos Pereira de Souto; Teresa Bernarda Ludermir (SBRN, 2002)

Implementation of Probabilistic Automata in Weightless Neural Networks. - José Carlos Martins Oliveira; Marcílio Carlos Pereira de Souto; Teresa Bernarda Ludermir (SBRN, 2002)

Global Optimization Methods for Designing and Training Neural Networks. - Akio Yamazaki; Teresa Bernarda Ludermir; Marcílio Carlos Pereira de Souto (SBRN, 2002)

Stability Evaluation of Clustering Algorithms for Time Series Gene Expression Data. - Ivan G. Costa; Francisco de A. T. de Carvalho; Marcílio Carlos Pereira de Souto (WOB, 2002)

Comparative study on proximity indices for cluster analysis of gene expression time series. - Ivan G. Costa; Francisco de A. T. de Carvalho; Marcílio Carlos Pereira de Souto (J. Intell. Fuzzy Syst., 2002)

The VIIth Brazilian Symposium on Neural Networks (SBRN'02). - Teresa Bernarda Ludermir; Marcílio Carlos Pereira de Souto (J. Intell. Fuzzy Syst., 2002)

Turing's analysis of computation and artificial neural networks. - Wilson Rosa de Oliveira; Marcílio Carlos Pereira de Souto; Teresa Bernarda Ludermir (J. Intell. Fuzzy Syst., 2002)

Introduction by Guest Editors. - Teresa Bernarda Ludermir; Marcílio Carlos Pereira de Souto (Int. J. Neural Syst., 2003)

Comparative study of connectionist techniques for implementing the pattern recognition system of an artificial nose. - Marcelo B. de Almeida; Marcilio C. P. de Souto; Teresa Bernarda Ludermir (IJCNN, 2004)

Global optimisation methods for choosing the connectivity pattern of N-tuple classifiers. - Luiz A. C. Garcia; Marcilio C. P. de Souto (IJCNN, 2004)

Individual Clustering and Homogeneous Cluster Ensemble Approaches Applied to Gene Expression Data. - Shirlly C. M. Silva; Daniel S. A. de Araujo; Raul Benites Paradeda; Valmar S. Severiano-Sobrinho; Marcílio Carlos Pereira de Souto (Australian Conference on Artificial Intelligence, 2005)

Neural Network Use for the Identification of Factors Related to Common Mental Disorders. - Teresa Bernarda Ludermir; C. R. S. Lopes; A. B. Ludermir; Marcílio Carlos Pereira de Souto (ICANN (1), 2005)

An empirical comparison of individual machine learning techniques and ensemble approaches in protein structural class prediction. - Valnaide G. Bittencourt; Márjory C. C. Abreu; Marcilio C. P. de Souto; Anne Magály de Paula Canuto (IJCNN, 2005)

A comparative analysis of the performance of hybrid and non-hybrid multi-classifier systems. - Anne M. P. Canuto; Marcilio C. P. de Souto; Araken M. Santos; Valéria Maria S. Bezerra; Sussany Mirelli (IJCNN, 2005)

Cluster ensemble for gene expression microarray data. - Marcilio C. P. de Souto; Shirly C. M. Silva; Valnaide G. Bittencourt; Daniel S. A. de Araujo (IJCNN, 2005)

Evaluation of the Contents of Partitions Obtained with Clustering Gene Expression Data. - Katti Faceli; André Carlos Ponce de Leon Ferreira de Carvalho; Marcílio Carlos Pereira de Souto (BSB, 2005)

Machine Learning Techniques for Predicting Bacillus subtilis Promoters. - Meika I. Monteiro; Marcílio Carlos Pereira de Souto; Luiz M. G. Gonçalves; Lucymara F. Agnez-Lima (BSB, 2005)

Equivalence between RAM-based neural networks and probabilistic automata. - Marcílio Carlos Pereira de Souto; Teresa Bernarda Ludermir; Wilson Rosa de Oliveira (IEEE Trans. Neural Networks, 2005)

Extracting Symbolic Rules from Clustering of Gene Expression Data. - Welbson S. Costa; Mateus S. de Assis; Marcílio Carlos Pereira de Souto (HIS, 2006)

Using Weighted Combination-Based Methods in Ensembles with Different Levels of Diversity. - Thiago Dutra; Anne M. P. Canuto; Marcílio Carlos Pereira de Souto (ICONIP (1), 2006)

An Empirical Analysis of Under-Sampling Techniques to Balance a Protein Structural Class Dataset. - Marcílio Carlos Pereira de Souto; Valnaide G. Bittencourt; José Alfredo Ferreira Costa (ICONIP (3), 2006)

In silico prediction of promoter sequences of Bacillus species. - Kelly P. da Silva; Meika I. Monteiro; Marcílio Carlos Pereira de Souto (IJCNN, 2006)

Using Accuracy and Diversity to Select Classifiers to Build Ensembles. - Rodrigo G. F. Soares; Alixandre Santana; Anne M. P. Canuto; Marcílio Carlos Pereira de Souto (IJCNN, 2006)

Cluster Ensemble for Gene Expression Microarray Data: Accuracy and Diversity. - Marcílio Carlos Pereira de Souto; Daniel S. A. de Araujo; Bruno L. C. da Silva (IJCNN, 2006)

A Dynamic Classifier Selection Method to Build Ensembles using Accuracy and Diversity. - Alixandre Santana; Rodrigo G. F. Soares; Anne M. P. Canuto; Marcílio Carlos Pereira de Souto (SBRN, 2006)

Particle Detection on Election Microscopy Micrographs Using Multi-Classifier Systems. - Lucas M. Oliveira; Raul Benites Paradeda; Bruno M. Carvalho 001; Anne M. P. Canuto; Marcílio Carlos Pereira de Souto (HIS, 2007)

Investigating the Use of an Evolutionary Agent-based System for Classification Tasks. - Diogo F. de Oliveira; Anne M. P. Canuto; Marcílio Carlos Pereira de Souto (IJCNN, 2007)

A Comparative Analysis of Feature Selection Methods for Ensembles with Different Combination Methods. - Laura Emmanuella A. Santana; Diogo F. de Oliveira; Anne M. P. Canuto; Marcílio Carlos Pereira de Souto (IJCNN, 2007)

Using an Evolutionary Agent-Based System for Classification Tasks. - Diogo F. de Oliveira; Anne M. P. Canuto; Marcilio C. P. de Souto (ISDA, 2007)

Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information. - Ivan G. Costa; Marcílio Carlos Pereira de Souto; Alexander Schliep (BSB, 2007)

Multi-Objective Clustering Ensemble with Prior Knowledge. - Katti Faceli; André Carlos Ponce de Leon Ferreira de Carvalho; Marcílio Carlos Pereira de Souto (BSB, 2007)

Multi-objective clustering ensemble. - Katti Faceli; André Carlos Ponce de Leon Ferreira de Carvalho; Marcílio Carlos Pereira de Souto (Int. J. Hybrid Intell. Syst., 2007)

On the Complexity of Gene Expression Classification Data Sets. - Ana Carolina Lorena; Ivan G. Costa; Marcílio Carlos Pereira de Souto (HIS, 2008)

A Class-Based Feature Selection Method for Ensemble Systems. - Karliane M. O. Vale; Filipe G. Dias; Anne M. P. Canuto; Marcílio Carlos Pereira de Souto (HIS, 2008)

Comparative study on normalization procedures for cluster analysis of gene expression datasets. - Marcílio Carlos Pereira de Souto; Daniel S. A. de Araujo; Ivan G. Costa; Rodrigo G. F. Soares; Teresa Bernarda Ludermir; Alexander Schliep (IJCNN, 2008)

Ranking and selecting clustering algorithms using a meta-learning approach. - 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 (IJCNN, 2008)

Empirical comparison of Dynamic Classifier Selection methods based on diversity and accuracy for building ensembles. - Marcílio Carlos Pereira de Souto; Rodrigo G. F. Soares; Alixandre Santana; Anne M. P. Canuto (IJCNN, 2008)

A Strategyfor the Selection of Solutions of the Pareto Front Approximation in Multi-objective Clustering Approaches. - Katti Faceli; Marcílio Carlos Pereira de Souto; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 2008)

Weightless Neural Networks: Knowledge-Based Inference System. - Teresa Bernarda Ludermir; Marcílio Carlos Pereira de Souto; Wilson Rosa de Oliveira (SBRN, 2008)

Clustering cancer gene expression data: a comparative study. - Marcílio Carlos Pereira de Souto; Ivan G. Costa; Daniel S. A. de Araujo; Teresa Bernarda Ludermir; Alexander Schliep (BMC Bioinform., 2008)

Brazilian Symposium on Neural Networks (SBRN2006). - André Carlos Ponce de Leon Ferreira de Carvalho; Anne M. P. Canuto; Marcílio Carlos Pereira de Souto (Neurocomputing, 2008)

The diversity/accuracy dilemma: An empirical analysis in the context of heterogeneous ensembles. - Diogo F. de Oliveira; Anne M. P. Canuto; Marcílio Carlos Pereira de Souto (IEEE Congress on Evolutionary Computation, 2009)

Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data. - André C. A. Nascimento; Ricardo Bastos Cavalcante Prudêncio; Marcílio Carlos Pereira de Souto; Ivan G. Costa (ICANN (2), 2009)

Use of multi-objective genetic algorithms to investigate the diversity/accuracy dilemma in heterogeneous ensembles. - Diogo F. de Oliveira; Anne M. P. Canuto; Marcílio Carlos Pereira de Souto (IJCNN, 2009)

Using Supervised Complexity Measures in the Analysis of Cancer Gene Expression Data Sets. - Ivan G. Costa; Ana Carolina Lorena; Liciana R. M. P. y Peres; Marcílio Carlos Pereira de Souto (BSB, 2009)

On a hybrid weightless neural system. - Teresa Bernarda Ludermir; Marcílio Carlos Pereira de Souto; Wilson Rosa de Oliveira (Int. J. Bio Inspired Comput., 2009)

Multi-objective clustering ensemble for gene expression data analysis. - Katti Faceli; Marcílio Carlos Pereira de Souto; Daniel S. A. de Araujo; André Carlos Ponce de Leon Ferreira de Carvalho (Neurocomputing, 2009)

Complexity measures of supervised classifications tasks: A case study for cancer gene expression data. - Marcílio Carlos Pereira de Souto; Ana Carolina Lorena; Newton Spolaôr; Ivan Gesteira Costa (IJCNN, 2010)

On the Complexity of Gene Marker Selection. - Ana Carolina Lorena; Newton Spolaôr; Ivan G. Costa; Marcilio C. P. de Souto (SBRN, 2010)

Improvements in the Partitions Selection Strategy for Set of Clustering Solutions. - Tiemi C. Sakata; Katti Faceli; Marcílio Carlos Pereira de Souto; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 2010)

Partitions selection strategy for set of clustering solutions. - Katti Faceli; Tiemi C. Sakata; Marcílio Carlos Pereira de Souto; André Carlos Ponce de Leon Ferreira de Carvalho (Neurocomputing, 2010)

Special issue for the SBRN Guest Editorial. - Marley M. B. R. Vellasco; Marcílio Carlos Pereira de Souto; André Carlos Ponce de Leon Ferreira de Carvalho (Neurocomputing, 2010)

A tool to implement probabilistic automata in RAM-based neural networks. - Marcilio C. P. de Souto; José Carlos Martins Oliveira; Teresa Bernarda Ludermir (IJCNN, 2011)

Selecting Machine Learning Algorithms Using the Ranking Meta-Learning Approach. - Ricardo Bastos Cavalcante Prudêncio; Marcilio C. P. de Souto; Teresa Bernarda Ludermir (Meta-Learning in Computational Intelligence, 2011)

A Comparison of External Clustering Evaluation Indices in the Context of Imbalanced Data Sets. - Marcilio C. P. de Souto; André L. V. Coelho; Katti Faceli; Tiemi C. Sakata; Viviane Bonadia; Ivan G. Costa (SBRN, 2012)

Analysis of complexity indices for classification problems: Cancer gene expression data. - Ana Carolina Lorena; Ivan G. Costa; Newton Spolaôr; Marcílio Carlos Pereira de Souto (Neurocomputing, 2012)

Automatic parameters selection in machine learning. - Teresa Bernarda Ludermir; Marcílio Carlos Pereira de Souto; Marley M. B. R. Vellasco (Neurocomputing, 2012)

Guest Editorial for Special Section on BSB 2012. - Marcilio C. P. de Souto; Maricel G. Kann (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

PVis - Partitions' visualizer: Extracting knowledge by visualizing a collection of partitions. - Katti Faceli; Tiemi C. Sakata; André Carlos Ponce de Leon Ferreira de Carvalho; Marcílio Carlos Pereira de Souto (IJCNN, 2014)

Issues on sampling negative examples for predicting prokaryotic promoters. - Eduardo G. Gusmão; Marcilio C. P. de Souto (IJCNN, 2014)

On Measuring the Complexity of Classification Problems. - Ana Carolina Lorena; Marcílio Carlos Pereira de Souto (ICONIP (1), 2015)

Impact of Base Partitions on Multi-objective and Traditional Ensemble Clustering Algorithms. - Jane Piantoni; Katti Faceli; Tiemi C. Sakata; Julio C. Pereira; Marcílio Carlos Pereira de Souto (ICONIP (1), 2015)

Impact of missing data imputation methods on gene expression clustering and classification. - Marcílio Carlos Pereira de Souto; Pablo A. Jaskowiak; Ivan G. Costa (BMC Bioinform., 2015)

Interpreting multivariate membership degrees of fuzzy clustering methods: A strategy. - Bruno A. Pimentel; Marcilio C. P. de Souto; Renata M. C. R. de Souza (IJCNN, 2017)

Classifier Recommendation Using Data Complexity Measures. - Luís Paulo F. Garcia; Ana Carolina Lorena; Marcilio C. P. de Souto; Tin Kam Ho (ICPR, 2018)

Data Complexity Measures for Imbalanced Classification Tasks. - Victor H. Barella; Luís Paulo F. Garcia; Marcilio C. P. de Souto; Ana Carolina Lorena; André C. P. L. F. de Carvalho (IJCNN, 2018)

How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity. - Ana Carolina Lorena; Luís Paulo F. Garcia; Jens Lehmann 001; Marcílio Carlos Pereira de Souto; Tin Kam Ho (ACM Comput. Surv., 2019)

Hybrid strategy for selecting compact set of clustering partitions. - Vanessa Antunes; Tiemi C. Sakata; Katti Faceli; Marcilio C. P. de Souto (Appl. Soft Comput., 2020)

Evaluating Data Characterization Measures for Clustering Problems in Meta-learning. - Luiz Henrique dos Santos Fernandes; Marcilio C. P. de Souto; Ana Carolina Lorena (ICONIP (1), 2021)

Multi-objective Clustering: A Data-Driven Analysis of MOCLE, MOCK and Δ-MOCK. - Adriano Kultzak; Cristina Y. Morimoto; Aurora T. R. Pozo; Marcilio C. P. de Souto (ICONIP (5), 2021)

Automatic recovering the number k of clusters in the data by active query selection. - Hério Sousa; Marcilio C. P. de Souto; Reginaldo Massanobu Kuroshu; Ana Carolina Lorena (SAC, 2021)

A Survey of Evolutionary Multi-Objective Clustering Approaches. - Cristina Y. Morimoto; Aurora T. R. Pozo; Marcilio C. P. de Souto (CoRR, 2021)

Assessing the data complexity of imbalanced datasets. - Victor H. Barella; Luís Paulo F. Garcia; Marcilio C. P. de Souto; Ana Carolina Lorena; André C. P. L. F. de Carvalho (Inf. Sci., 2021)

Detecting Nested Structures Through Evolutionary Multi-objective Clustering. - Cristina Y. Morimoto; Aurora T. R. Pozo; Marcílio Carlos Pereira de Souto (EvoApplications, 2022)

Towards Explainable Deep Learning for Image Captioning through Representation Space Perturbation. - Sofiane Elguendouze; Marcilio C. P. de Souto; Adel Hafiane; Anaïs Lefeuvre-Halftermeyer (IJCNN, 2022)

Anchored Constrained Clustering Ensemble. - Mathieu Guilbert; Christel Vrain; Thi-Bich-Hanh Dao; Marcilio C. P. de Souto (IJCNN, 2022)

An analysis of the admissibility of the objective functions applied in evolutionary multi-objective clustering. - Cristina Y. Morimoto; Aurora T. R. Pozo; Marcilio C. P. de Souto (Inf. Sci., 2022)

Complexity-Driven Sampling for Bagging. - Carmen Lancho; Marcilio C. P. de Souto; Ana Carolina Lorena; Isaac Martín de Diego (IDEAL, 2023)

Explainability in image captioning based on the latent space. - Sofiane Elguendouze; Adel Hafiane; Marcilio C. P. de Souto; Anaïs Halftermeyer (Neurocomputing, 2023)

An adaptive evolutionary multi-objective clustering based on the data properties of the base partitions. - Cristina Y. Morimoto; Aurora Trinidad Ramirez Pozo; Marcílio Carlos Pereira de Souto (Expert Syst. Appl., 2024)