On the information storage of associative matrix memories. - Anelise P. Braga; Marcelo Barros de Almeida; G. Pereita; Marcelo Azevedo Costa; C. Barbose (SBRN, 1997)

A General Approach for Density in the n-Dimensional Boolean Space. - Antônio de Pádua Braga; Marcelo Azevedo Costa (SBRN, 1998)

Improved generalization learning with Sliding Mode Control and the Levenberg-Marquadt Algorithm. - Marcelo Azevedo Costa; Antônio de Pádua Braga; Benjamin Rodrigues de Menezes (SBRN, 2002)

Constructive and Pruning Methods for Neural Network Design. - Marcelo Azevedo Costa; Antônio de Pádua Braga; Benjamin Rodrigues de Menezes (SBRN, 2002)

Control of Generalization with a Bi-Objective Sliding Mode Control Algorithm. - Marcelo Azevedo Costa; Antônio de Pádua Braga; Benjamin Rodrigues de Menezes; Gustavo Guimarães Parma; Roselito de Albuquerque Teixeira (SBRN, 2002)

Improving neural networks generalization with new constructive and pruning methods. - Marcelo Azevedo Costa; Antônio de Pádua Braga; Benjamin Rodrigues de Menezes (J. Intell. Fuzzy Syst., 2002)

Uma Análise de Desempenho dos Métodos SCAN e BESAG&NEWELL na Detecção de Clusters Espaciais. - Marcelo Azevedo Costa; Renato M. Assunção (GEOINFO, 2003)

Training neural networks with a multi-objective sliding mode control algorithm. - Marcelo Azevedo Costa; Antônio de Pádua Braga; Benjamin Rodrigues de Menezes; Roselito de Albuquerque Teixeira; Gustavo Guimarães Parma (Neurocomputing, 2003)

Detecção de Conglomerados Espaciais com Geometria Arbitrária. - Marcelo Azevedo Costa; Luciano R. Schrerrer; Renato M. Assunção (GEOINFO, 2005)

Optimization of Neural Networks with Multi-Objective LASSO Algorithm. - Marcelo Azevedo Costa; Antônio de Pádua Braga (IJCNN, 2006)

Multi-Objective Algorithms for Neural Networks Learning. - Antônio de Pádua Braga; Ricardo H. C. Takahashi; Marcelo Azevedo Costa; Roselito de Albuquerque Teixeira (Multi-Objective Machine Learning, 2006)

Improving generalization of MLPs with sliding mode control and the Levenberg-Marquardt algorithm. - Marcelo Azevedo Costa; Antônio de Pádua Braga; Benjamin Rodrigues de Menezes (Neurocomputing, 2007)

Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy. - Antônio 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)

A new method of DNA probes selection and its use with multi-objective neural network for predicting the outcome of breast cancer preoperative chemotherapy. - René Natowicz; Antônio de Pádua Braga; Roberto Incitti; Euler G. Horta; Roman Rouzier; Thiago S. Rodrigues; Marcelo Azevedo Costa (ESANN, 2008)

Downsizing Multigenic Predictors of the Response to Preoperative Chemotherapy in Breast Cancer. - René Natowicz; Roberto Incitti; Roman Rouzier; Arben Çela; Antônio de Pádua Braga; Euler G. Horta; Thiago S. Rodrigues; Marcelo Azevedo Costa (KES (2), 2008)

New Multi-Objective Algorithms for Neural Network Training Applied to Genomic Classification Data. - Marcelo Azevedo Costa; Thiago S. Rodrigues; Euler Guimarães Horta; Antônio de Pádua Braga; Carmen D. M. Pataro; René Natowicz; Roberto Incitti; Roman Rouzier; Arben Çela (Foundations of Computational Intelligence (1), 2009)

Gradient Descent Decomposition for Multi-objective Learning. - Marcelo Azevedo Costa; Antônio de Pádua Braga (IDEAL, 2011)

Constrained spanning tree algorithms for irregularly-shaped spatial clustering. - Marcelo Azevedo Costa; Renato M. Assunção; Martin Kulldorff (Comput. Stat. Data Anal., 2012)

Flexible scan statistic test to detect disease clusters in hierarchical trees. - Marcos Oliveira Prates; Renato M. Assunção; Marcelo Azevedo Costa (Comput. Stat., 2012)

Convergence analysis of sliding mode trajectories in multi-objective neural networks learning. - Marcelo Azevedo Costa; Antônio de Pádua Braga; Benjamin Rodrigues de Menezes (Neural Networks, 2012)

Training Multi-Layer Perceptron with Multi-Objective Optimization and Spherical Weights Representation. - Honovan P. Rocha; Marcelo Azevedo Costa; Antônio P. Braga (ESANN, 2015)

A Ranking Approach for Probe Selection and Classification of Microarray Data with Artificial Neural Networks. - Alexandre Wagner Chagas Faria; Alisson Marques da Silva; Thiago de Souza Rodrigues; Marcelo Azevedo Costa; Antônio de Pádua Braga (J. Comput. Biol., 2015)

Neural Networks Multiobjective Learning With Spherical Representation of Weights. - Honovan P. Rocha; Marcelo Azevedo Costa; Antônio P. Braga (IEEE Trans. Neural Networks Learn. Syst., 2020)

A Data-Driven Framework for Small Hydroelectric Plant Prognosis Using Tsfresh and Machine Learning Survival Models. - Rodrigo Barbosa de Santis; Tiago Silveira Gontijo; Marcelo Azevedo Costa (Sensors, 2023)

A Control Chart for the Joint Monitoring of Mean and Variance With Klein's Supplementary Rule. - Víctor Brito Quinino; Marcelo Azevedo Costa; Anderson Laécio Galindo Trindade (Qual. Reliab. Eng. Int., 2025)