Marcelo Azevedo Costa - researchr alias

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Viewing Publication 1 - 25 from 25

2025

A Control Chart for the Joint Monitoring of Mean and Variance With Klein's Supplementary RuleVíctor Brito Quinino, Marcelo Azevedo Costa, Anderson Laécio Galindo Trindade. qre, 41(2):821-842, March 2025. [doi]

2023

A Data-Driven Framework for Small Hydroelectric Plant Prognosis Using Tsfresh and Machine Learning Survival ModelsRodrigo Barbosa de Santis, Tiago Silveira Gontijo, Marcelo Azevedo Costa. sensors, 23(1):12, 2023. [doi]

2020

Neural Networks Multiobjective Learning With Spherical Representation of WeightsHonovan P. Rocha, Marcelo Azevedo Costa, Antônio P. Braga. tnn, 31(11):4761-4775, 2020. [doi]

2015

A Ranking Approach for Probe Selection and Classification of Microarray Data with Artificial Neural NetworksAlexandre Wagner Chagas Faria, Alisson Marques da Silva, Thiago de Souza Rodrigues, Marcelo Azevedo Costa, Antônio de Pádua Braga. jcb, 22(10):953-961, 2015. [doi]

Training Multi-Layer Perceptron with Multi-Objective Optimization and Spherical Weights RepresentationHonovan P. Rocha, Marcelo Azevedo Costa, Antônio P. Braga. esann 2015: [doi]

2012

Convergence analysis of sliding mode trajectories in multi-objective neural networks learningMarcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes. NN, 33:21-31, 2012. [doi]

Constrained spanning tree algorithms for irregularly-shaped spatial clusteringMarcelo Azevedo Costa, Renato M. Assunção, Martin Kulldorff. csda, 56(6):1771-1783, 2012. [doi]

Flexible scan statistic test to detect disease clusters in hierarchical treesMarcos O. Prates, Renato M. Assunção, Marcelo Azevedo Costa. cstat, 27(4):715-737, 2012. [doi]

2011

Gradient Descent Decomposition for Multi-objective LearningMarcelo Azevedo Costa, Antônio de Pádua Braga. ideal 2011: 377-384 [doi]

2009

New Multi-Objective Algorithms for Neural Network Training Applied to Genomic Classification DataMarcelo Azevedo Costa, Thiago S. Rodrigues, Euler Guimarães Horta, Antônio de Pádua Braga, Carmen D. M. Pataro, René Natowicz, Roberto Incitti, Roman Rouzier, Arben Çela. In Aboul Ella Hassanien, Ajith Abraham, Athanasios V. Vasilakos, Witold Pedrycz, editors, Foundations of Computational Intelligence, Volume 1: Learning and Approximation. Volume 201 of Studies in Computational Intelligence, pages 63-82, Springer, 2009. [doi]

2008

Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative ChemotherapyAntônio de Pádua Braga, Euler G. Horta, René Natowicz, Roman Rouzier, Roberto Incitti, Thiago S. Rodrigues, Marcelo Azevedo Costa, Carmen D. M. Pataro, Arben Çela. annpr 2008: 263-266 [doi]

A new method of DNA probes selection and its use with multi-objective neural network for predicting the outcome of breast cancer preoperative chemotherapyRené Natowicz, Antônio de Pádua Braga, Roberto Incitti, Euler G. Horta, Roman Rouzier, Thiago S. Rodrigues, Marcelo Azevedo Costa. esann 2008: 71-76 [doi]

Downsizing Multigenic Predictors of the Response to Preoperative Chemotherapy in Breast CancerRené Natowicz, Roberto Incitti, Roman Rouzier, Arben Çela, Antônio de Pádua Braga, Euler G. Horta, Thiago S. Rodrigues, Marcelo Azevedo Costa. kes 2008: 157-164 [doi]

2007

Improving generalization of MLPs with sliding mode control and the Levenberg-Marquardt algorithmMarcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes. ijon, 70(7-9):1342-1347, 2007. [doi]

2006

Optimization of Neural Networks with Multi-Objective LASSO AlgorithmMarcelo Azevedo Costa, Antônio de Pádua Braga. ijcnn 2006: 3312-3318 [doi]

Multi-Objective Algorithms for Neural Networks LearningAntônio de Pádua Braga, Ricardo H. C. Takahashi, Marcelo Azevedo Costa, Roselito de Albuquerque Teixeira. In Yaochu Jin, editor, Multi-Objective Machine Learning. Volume 16 of Studies in Computational Intelligence, pages 151-171, Springer, 2006. [doi]

2005

Detecção de Conglomerados Espaciais com Geometria ArbitráriaMarcelo Azevedo Costa, Luciano R. Schrerrer, Renato M. Assunção. geoinfo 2005: 213-222 [doi]

2003

Uma Análise de Desempenho dos Métodos SCAN e BESAG&NEWELL na Detecção de Clusters EspaciaisMarcelo Azevedo Costa, Renato M. Assunção. geoinfo 2003:

Training neural networks with a multi-objective sliding mode control algorithmMarcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes, Roselito de Albuquerque Teixeira, Gustavo Guimarães Parma. ijon, 51:467-473, 2003. [doi]

2002

1998

A General Approach for Density in the n-Dimensional Boolean SpaceAntônio de Pádua Braga, Marcelo Azevedo Costa. sbrn 1998: 161-164 [doi]

1997

On the information storage of associative matrix memoriesAnelise P. Braga, Marcelo Barros de Almeida, G. Pereita, Marcelo Azevedo Costa, C. Barbose. sbrn 1997: 51-57 [doi]

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