Frederico Gualberto F. Coelho

According to our database, Frederico Gualberto F. Coelho authored at least 16 papers between 2010 and 2024.

Collaborative distances:

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

2024

Improved Design for Hardware Implementation of Graph-Based Large Margin Classifiers for Embedded Edge Computing.

Janier Arias-Garcia, Alan Cândido de Souza, Liliane Gade, Jones Yudi Mori, Frederico Coelho, Cristiano Leite Castro, Luiz C. B. Torres, Antônio P. Braga

IEEE Trans. Neural Networks Learn. Syst., January, 2024

2023

RBF Neural Networks Design with Graph Based Structural Information from Dominating Sets.

Marcelo Queiroz, Frederico Coelho, Luiz C. B. Torres, Felipe V. Campos, Gabriel Lara, Wagner J. Alvarenga, Antônio de Pádua Braga

Neural Process. Lett., 2023

2021

Large Margin Gaussian Mixture Classifier With a Gabriel Graph Geometric Representation of Data Set Structure.

Luiz C. B. Torres, Cristiano Leite Castro, Frederico Coelho, Antônio P. Braga

IEEE Trans. Neural Networks Learn. Syst., 2021

Enhancing Performance of Gabriel Graph-Based Classifiers by a Hardware Co-Processor for Embedded System Applications.

Janier Arias-Garcia, Augusto Mafra, Liliane Gade, Frederico Coelho, Cristiano Leite Castro, Luiz C. B. Torres, Antônio de Pádua Braga

IEEE Trans. Ind. Informatics, 2021

2020

LASSO multi-objective learning algorithm for feature selection.

Frederico Coelho, Marcelo Costa, Michel Verleysen, Antônio P. Braga

Soft Comput., 2020

Application of meta-heuristic methods to generation expansion planning: advanced formulations and case studies.

Guilherme Costa Silva, Frederico Gualberto F. Coelho, Adriano Chaves Lisboa, Douglas A. G. Vieira, Rodney R. Saldanha

Artif. Intell. Rev., 2020

2019

Semi-supervised relevance index for feature selection.

Frederico Coelho, Cristiano Leite Castro, Antônio P. Braga, Michel Verleysen

Neural Comput. Appl., 2019

2018

A Proactive Restoration Strategy for Optical Cloud Networks Based on Failure Predictions.

Carlos Natalino, Frederico Coelho, Gustavo Lacerda, Antônio P. Braga, Lena Wosinska, Paolo Monti

Proceedings of the 2018 20th International Conference on Transparent Optical Networks (ICTON), 2018

2017

MILKDE: A new approach for multiple instance learning based on positive instance selection and kernel density estimation.

Alexandre W. C. Faria, Frederico Gualberto F. Coelho, Alisson Marques da Silva, Honovan P. Rocha, Gustavo Matheus de Almeida, André P. Lemos, Antônio P. Braga

Eng. Appl. Artif. Intell., 2017

2016

A Mutual Information estimator for continuous and discrete variables applied to Feature Selection and Classification problems.

Frederico Coelho, Antônio de Pádua Braga, Michel Verleysen

Int. J. Comput. Intell. Syst., 2016

2013

Semi-supervised feature selection.

Frederico Gualberto F. Coelho

PhD thesis, 2013

2012

Compilation et optimisation statique des communications hôte-accélérateur.

Mehdi Amini, François Irigoin, Frederico Coelho, Ronan Keryell

Tech. Sci. Informatiques, 2012

A General Approach for Adaptive Kernels in Semi-Supervised Clustering.

Sílvia Grasiella Moreira Almeida, Frederico Gualberto F. Coelho, Frederico Gadelha Guimarães, Antônio de Pádua Braga

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Cluster homogeneity as a semi-supervised principle for feature selection using mutual information.

Frederico Coelho, Antônio de Pádua Braga, Michel Verleysen

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

Semi-supervised model applied to the prediction of the response to preoperative chemotherapy for breast cancer.

Frederico Coelho, Antônio de Pádua Braga, René Natowicz, Roman Rouzier

Soft Comput., 2011

2010

Multi-Objective Semi-Supervised Feature Selection and Model Selection Based on Pearson's Correlation Coefficient.

Frederico Coelho, Antônio de Pádua Braga, Michel Verleysen

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010