Thiago Ferreira Covões
Thiago Ferreira Covões
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Towards improving cluster-based feature selection with a simplified silhouette filter
TF Covões, ER Hruschka
Information Sciences 181 (18), 3766-3782, 2011
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
A study of k-means-based algorithms for constrained clustering
TF Covoes, ER Hruschka, J Ghosh
Intelligent Data Analysis 17 (3), 485-505, 2013
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
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
Fake news detection in multiple platforms and languages
PHA Faustini, TF Covoes
Expert Systems with Applications 158, 113503, 2020
Fake news detection using one-class classification
P Faustini, T Covões
2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 592-597, 2019
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
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
Competitive learning with pairwise constraints
TF Covões, ER Hruschka, J Ghosh
IEEE transactions on neural networks and learning systems 24 (1), 164-169, 2012
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), 357-357, 2013
Seleção de atributos via agrupamento
TF Covões
Universidade de São Paulo, 2010
An experimental study on unsupervised clustering-based feature selection methods
TF Covões, ER Hruschka
2009 Ninth International Conference on Intelligent Systems Design and …, 2009
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
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
Low and high level classification using stacking
TF Covões, Z Liang
2017 International Joint Conference on Neural Networks (IJCNN), 2525-2532, 2017
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
Improving evolutionary constrained clustering using Active Learning
MC Fernandes, TF Covões, ALV Pereira
Knowledge-Based Systems 209, 106452, 2020
Active Learning for Evolutionary Constrained Clustering
MC Fernandes, TF Covões, ALV Pereira
2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 162-167, 2019
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
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