Thiago Ferreira Covões
Thiago Ferreira Covões
Verified email at ufabc.edu.br
TitleCited byYear
A cluster-based feature selection approach
TF Covões, ER Hruschka, LN de Castro, ÁM Santos
International Conference on Hybrid Artificial Intelligence Systems, 169-176, 2009
332009
A study of k-means-based algorithms for constrained clustering
TF Covões, ER Hruschka, J Ghosh
Intelligent Data Analysis 17 (3), 485-505, 2013
282013
Towards improving cluster-based feature selection with a simplified silhouette filter
TF Covões, ER Hruschka
Information Sciences 181 (18), 3766-3782, 2011
282011
Feature selection for cluster analysis: an approach based on the simplified Silhouette criterion
ER Hruschka, TF Covoes
International Conference on Computational Intelligence for Modelling …, 2005
172005
Feature selection for clustering problems: a hybrid algorithm that iterates between k-means and a Bayesian filter
ER Hruschka, TF Covoes, NFF Ebecken
Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 6 pp., 2005
152005
Unsupervised learning of gaussian mixture models: Evolutionary create and eliminate for expectation maximization algorithm
TF Covoes, ER Hruschka
2013 IEEE Congress on Evolutionary Computation, 3206-3213, 2013
72013
Competitive learning with pairwise constraints
TF Covões, ER Hruschka, J Ghosh
IEEE transactions on neural networks and learning systems 24 (1), 164-169, 2012
72012
A comparative study on the use of correlation coefficients for redundant feature elimination
PA Jaskowiak, RJGB Campello, TF Covoes, ER Hruschka
2010 Eleventh Brazilian Symposium on Neural Networks, 13-18, 2010
72010
Bayesian feature selection for clustering problems
ER Hruschka, ER Hruschka Jr, TF Covões, NFF Ebecken
Journal of Information & Knowledge Management 5 (04), 315-327, 2006
52006
Hierarchical bottom-up safe semi-supervised support vector machines for multi-class transductive learning
TF Covões, RC Barros, TS da Silva, ER Hruschka, AC de Carvalho
Journal of Information and Data Management 4 (3), 357, 2013
42013
A semi-supervised approach to estimate the number of clusters per class
DM Sestaro, TF Covões, ER Hruschka
2012 Brazilian Symposium on Neural Networks, 73-78, 2012
42012
Splitting and merging gaussian mixture model components: An evolutionary approach
TF Covões, ER Hruschka
2011 10th International Conference on Machine Learning and Applications and …, 2011
42011
Seleção de atributos via agrupamento
TF Covões
Universidade de São Paulo, 2010
42010
An experimental study on unsupervised clustering-based feature selection methods
TF Covões, ER Hruschka
2009 Ninth International Conference on Intelligent Systems Design and …, 2009
42009
Evolving gaussian mixture models with splitting and merging mutation operators
TF Covões, ER Hruschka, J Ghosh
Evolutionary computation 24 (2), 293-317, 2016
22016
Adjusted Rand Index, Normalized Mutual Information, and
TF Covões, ER Hruschka, J Ghosh
22013
Low and high level classification using stacking
TF Covões, Z Liang
2017 International Joint Conference on Neural Networks (IJCNN), 2525-2532, 2017
12017
Classification with Multi-Modal Classes Using Evolutionary Algorithms and Constrained Clustering
TF Covões, ER Hruschka
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
2018
Algoritmos evolutivos para modelos de mistura de gaussianas em problemas com e sem restrições
TF Covões
Universidade de São Paulo, 2014
2014
Community detection in complex network via BGLL algorithm.
SJ Yan, Q Le, JH Panchal, TF Covoes, ER Hruschka, J Ghosh, B Peralta, ...
Journal of Software Engineering 9 (2), 807-828, 2012
2012
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