Multi-Objective Semi-Supervised Feature Selection and Model Selection Based on Pearson's Correlation Coefficient. - Frederico Coelho; Antônio de Pádua Braga; Michel Verleysen (CIARP, 2010)

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)

Cluster homogeneity as a semi-supervised principle for feature selection using mutual information. - Frederico Coelho; Antônio de Pádua Braga; Michel Verleysen (ESANN, 2012)

A General Approach for Adaptive Kernels in Semi-Supervised Clustering. - Sílvia Grasiella Moreira Almeida; Frederico Gualberto Ferreira Coelho; Frederico Gadelha Guimarães; Antônio de Pádua Braga (IDEAL, 2012)

Compilation et optimisation statique des communications hôte-accélérateur. - Mehdi Amini; François Irigoin; Frederico Coelho; Ronan Keryell (Tech. Sci. Informatiques, 2012)

Semi-supervised feature selection. - Frederico Gualberto Ferreira Coelho (2013)

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)

MILKDE: A new approach for multiple instance learning based on positive instance selection and kernel density estimation. - Alexandre W. C. Faria; Frederico Gualberto Ferreira Coelho; Alisson Marques da Silva; Honovan P. Rocha; Gustavo Matheus de Almeida; André P. Lemos; Antônio P. Braga (Eng. Appl. Artif. Intell., 2017)

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 001 (ICTON, 2018)

Semi-supervised relevance index for feature selection. - Frederico Coelho; Cristiano Leite Castro; Antônio P. Braga; Michel Verleysen (Neural Comput. Appl., 2019)

Application of meta-heuristic methods to generation expansion planning: advanced formulations and case studies. - Guilherme Costa Silva; Frederico Gualberto Ferreira Coelho; Adriano Chaves Lisboa; Douglas A. G. Vieira; Rodney R. Saldanha (Artif. Intell. Rev., 2020)

LASSO multi-objective learning algorithm for feature selection. - Frederico Coelho; Marcelo Costa; Michel Verleysen; Antônio P. Braga (Soft Comput., 2020)

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)

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)

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)

Classificação de Notícias em Português Utilizando Modelos Baseados em Transferência de Aprendizagem e Transformers. - Wagner Narde; João Mendanha; Henrique Barbosa; Frederico Coelho; Bruno P. Santos; Luiz C. B. Torres (STIL, 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., 2024)

Enhancing Image Classification in Quantum Computing: A Study on Preprocessing Techniques and Qubit Limitations. - Henrique Barbosa; Gustavo Augusto Pires; Juliana Assis Alves; Luiz C. B. Torres; Janier Arias-Garcia; Frederico Gualberto Ferreira Coelho (ESANN, 2025)

Large margin classifier with graph-based adaptive regularization. - Vítor M. Hanriot; Turíbio Tanus Salis; Luiz C. B. Torres; Frederico Coelho; Antônio P. Braga (Pattern Recognit. Lett., 2025)

Scaling up graph-based classifiers with a divide and conquer approach. - Caius Souza; Rafael Lopes Almeida; Frederico Gualberto Ferreira Coelho; Antônio de Pádua Braga (ESANN, 2026)

Random projection large margin algorithm for binary classification problems. - Vítor Gabriel Reis Caitité; Raul Fonseca Neto; Frederico Coelho; Antônio de Pádua Braga (Appl. Soft Comput., 2026)