Thiago F. Covoes

According to our database, Thiago F. Covoes authored at least 16 papers between 2005 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Classification with Multi-Modal Classes Using Evolutionary Algorithms and Constrained Clustering.

Thiago F. Covoes, Eduardo R. Hruschka

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2016

Evolving Gaussian Mixture Models with Splitting and Merging Mutation Operators.

Thiago F. Covoes, Eduardo Raul Hruschka, Joydeep Ghosh

Evol. Comput., 2016

2013

Competitive Learning With Pairwise Constraints.

Thiago F. Covoes, Eduardo R. Hruschka, Joydeep Ghosh

IEEE Trans. Neural Networks Learn. Syst., 2013

Hierarchical Bottom-Up Safe Semi-Supervised Support Vector Machines for Multi-Class Transductive Learning.

Thiago F. Covoes, Rodrigo C. Barros, Tiago Silva da Silva, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho

J. Inf. Data Manag., 2013

A study of K-Means-based algorithms for constrained clustering.

Thiago F. Covoes, Eduardo R. Hruschka, Joydeep Ghosh

Intell. Data Anal., 2013

Unsupervised learning of Gaussian Mixture Models: Evolutionary Create and Eliminate for Expectation Maximization algorithm.

Thiago F. Covoes, Eduardo R. Hruschka

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

A Semi-supervised Approach to Estimate the Number of Clusters per Class.

Davidson M. Sestaro, Thiago F. Covoes, Eduardo R. Hruschka

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

2011

Towards improving cluster-based feature selection with a simplified silhouette filter.

Thiago F. Covoes, Eduardo R. Hruschka

Inf. Sci., 2011

Splitting and Merging Gaussian Mixture Model Components: An Evolutionary Approach.

Thiago F. Covoes, Eduardo R. Hruschka

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010

A Comparative Study on the Use of Correlation Coefficients for Redundant Feature Elimination.

Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Thiago F. Covoes, Eduardo R. Hruschka

Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Fuzzy Clustering-Based Filter.

Luiz F. S. Coletta, Eduardo R. Hruschka, Thiago F. Covoes, Ricardo J. G. B. Campello

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, 2010

2009

An Experimental Study on Unsupervised Clustering-Based Feature Selection Methods.

Thiago F. Covoes, Eduardo R. Hruschka

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

A Cluster-Based Feature Selection Approach.

Thiago F. Covoes, Eduardo R. Hruschka, Leandro Nunes de Castro, Átila M. Santos

Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

2006

Bayesian Feature Selection for Clustering Problems.

Eduardo R. Hruschka, Estevam R. Hruschka Jr., Thiago F. Covoes, Nelson F. F. Ebecken

J. Inf. Knowl. Manag., 2006

2005

Feature Selection for Clustering Problems: a Hybrid Algorithm that Iterates Between k-means and a Bayesian Filter.

Eduardo R. Hruschka, Thiago F. Covoes, Estevam R. Hruschka Jr., Nelson F. F. Ebecken

Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

Feature Selection for Cluster Analysis: an Approach Based on the Simplified Silhouette Criterion.

Eduardo R. Hruschka, Thiago F. Covoes

Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005