| Fake news detection in multiple platforms and languages PHA Faustini, TF Covoes Expert Systems with Applications 158, 113503, 2020 | 182 | 2020 |
| Fake news detection using one-class classification P Faustini, T Covões 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 592-597, 2019 | 61 | 2019 |
| A study of k-means-based algorithms for constrained clustering TF Covoes, ER Hruschka, J Ghosh Intelligent Data Analysis 17 (3), 485-505, 2013 | 58 | 2013 |
| Towards improving cluster-based feature selection with a simplified silhouette filter TF Covões, ER Hruschka Information Sciences 181 (18), 3766-3782, 2011 | 58 | 2011 |
| 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 | 45 | 2005 |
| A cluster-based feature selection approach TF Covões, ER Hruschka, LN de Castro, ÁM Santos Hybrid Artificial Intelligence Systems: 4th International Conference, HAIS …, 2009 | 44 | 2009 |
| 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 | 29 | 2005 |
| Unsupervised learning of gaussian mixture models: Evolutionary create and eliminate for expectation maximization algorithm TF Covões, ER Hruschka 2013 IEEE Congress on Evolutionary Computation, 3206-3213, 2013 | 14 | 2013 |
| 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 | 12 | 2010 |
| Seleção de atributos via agrupamento TF Covões Universidade de São Paulo, 2010 | 11 | 2010 |
| Competitive learning with pairwise constraints TF Covões, ER Hruschka, J Ghosh IEEE transactions on neural networks and learning systems 24 (1), 164-169, 2012 | 10 | 2012 |
| Improving evolutionary constrained clustering using Active Learning MC Fernandes, TF Covões, ALV Pereira Knowledge-Based Systems 209, 106452, 2020 | 8 | 2020 |
| 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 | 8 | 2013 |
| 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 | 8 | 2006 |
| Evolving gaussian mixture models with splitting and merging mutation operators TF Covões, ER Hruschka, J Ghosh Evolutionary computation 24 (2), 293-317, 2016 | 7 | 2016 |
| 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 | 7 | 2011 |
| An experimental study on unsupervised clustering-based feature selection methods TF Covões, ER Hruschka 2009 Ninth International Conference on Intelligent Systems Design and …, 2009 | 6 | 2009 |
| 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 | 5 | 2018 |
| Active learning for evolutionary constrained clustering MC Fernandes, TF Covões, ALV Pereira 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 162-167, 2019 | 3 | 2019 |
| Low and high level classification using stacking TF Covões, Z Liang 2017 International Joint Conference on Neural Networks (IJCNN), 2525-2532, 2017 | 3 | 2017 |
Eduardo R. HruschkaUniversity of São Paulo (USP), BrazilVerified email at usp.br
