Frederico Gualberto F. Coelho

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

Michel Verleysen, Antônio de Pádua Braga, Frederico Gualberto F. Coelho, 2010, CIARP.

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

Honovan P. Rocha, Antônio P. Braga, Alisson Marques da Silva, 2017, Eng. Appl. Artif. Intell..

Compilation et optimisation statique des communications hôte-accélérateur

Ronan Keryell, Mehdi Amini, François Irigoin, 2012, Tech. Sci. Informatiques.

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

Michel Verleysen, Antônio de Pádua Braga, Frederico Gualberto F. Coelho, 2012, ESANN.

A General Approach for Adaptive Kernels in Semi-Supervised Clustering

Frederico G. Guimarães, Antônio de Pádua Braga, Sílvia Grasiella Moreira Almeida, 2012, IDEAL.

Semi-supervised relevance index for feature selection

Michel Verleysen, Antônio P. Braga, Frederico Gualberto F. Coelho, 2019, Neural Computing and Applications.

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

Michel Verleysen, Antônio de Pádua Braga, Frederico Gualberto F. Coelho, 2016, Int. J. Comput. Intell. Syst..

Semi-supervised feature selection

Frederico Gualberto F. Coelho, F. Coelho, 2013 .

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

Antônio de Pádua Braga, René Natowicz, Roman Rouzier, 2011, Soft Comput..