Design of experiments on neural network's training for nonlinear time series forecasting. - Pedro Paulo Balestrassi; Elmira Popova; Anderson Paulo de Paiva; José W. Marangon Lima (Neurocomputing, 2009)

Sensitivity analysis in discrete-event simulation using fractional factorial designs. - José Arnaldo Barra Montevechi; Renaldo Gonzaga de Almeida Filho; Anderson Paulo de Paiva; Rafael Florencio da Silva Costa; André Luiz Medeiros (J. Simulation, 2010)

Optimization of Radial Basis Function neural network employed for prediction of surface roughness in hard turning process using Taguchi's orthogonal arrays. - Fabrício José Pontes; Anderson Paulo de Paiva; Pedro Paulo Balestrassi; João Roberto Ferreira; Messias Borges da Silva (Expert Syst. Appl., 2012)

Multivariate Optimization of the Cutting Parameters when Turning Slender Components. - A. R. Silva Filho; Alexandre M. Abrão; Anderson Paulo de Paiva; João Roberto Ferreira (Int. J. Manuf. Mater. Mech. Eng., 2012)

Aircraft interior failure pattern recognition utilizing text mining and neural networks. - Rogério S. Rodrigues; Pedro Paulo Balestrassi; Anderson Paulo de Paiva; Alberto Garcia-Diaz; Fabrício José Pontes (J. Intell. Inf. Syst., 2012)

Weighted Multivariate Mean Square Error for processes optimization: A case study on flux-cored arc welding for stainless steel claddings. - José Henrique de Freitas Gomes; Anderson Paulo de Paiva; S. C. Costa; Pedro Paulo Balestrassi; Emerson J. Paiva (Eur. J. Oper. Res., 2013)

A multivariate robust parameter optimization approach based on Principal Component Analysis with combined arrays. - Anderson Paulo de Paiva; José Henrique de Freitas Gomes; Rogério Santana Peruchi; Rafael Coradi Leme; Pedro Paulo Balestrassi (Comput. Ind. Eng., 2014)

Robust parameter optimization based on multivariate normal boundary intersection. - Luiz Gustavo Dias Lopes; Tarcísio Gonçalves Brito; Anderson Paulo de Paiva; Rogério Santana Peruchi; Pedro Paulo Balestrassi (Comput. Ind. Eng., 2016)

Multiobjective portfolio optimization of ARMA-GARCH time series based on experimental designs. - R. R. A. Mendes; Anderson Paulo de Paiva; Rogério Santana Peruchi; Pedro Paulo Balestrassi; Rafael Coradi Leme; Messias Borges da Silva (Comput. Oper. Res., 2016)

Factorial design analysis applied to the performance of SMS anti-spam filtering systems. - Marcelo V. C. Aragão; Edielson Prevato Frigieri; Carlos Alberto Ynoguti; Anderson Paulo de Paiva (Expert Syst. Appl., 2016)

Design of experiments and focused grid search for neural network parameter optimization. - Fabrício José Pontes; Gabriela da F. de Amorim; Pedro Paulo Balestrassi; Anderson Paulo de Paiva; João Roberto Ferreira (Neurocomputing, 2016)

A Mixture Design of Experiments Approach for Genetic Algorithm Tuning Applied to Multi-objective Optimization. - Taynara Incerti de Paula; Guilherme Ferreira Gomes; José Henrique de Freitas Gomes; Anderson Paulo de Paiva (WCGO, 2019)

A Design of Experiments Comparative Study on Clustering Methods. - Natália Maria Puggina Bianchesi; Estevão Luiz Romão; Marina Fernandes B. P. Lopes; Pedro Paulo Balestrassi; Anderson Paulo de Paiva (IEEE Access, 2019)

Stochastic Optimization of AISI 52100 Hard Turning With Six Sigma Capability Constraint. - Alexandre Fonseca Torres; Renata P. R. Miranda; Anderson Paulo de Paiva; Paulo Henrique da Silva Campos; Pedro Paulo Balestrassi; João Roberto Ferreira (IEEE Access, 2019)

Hybrid multiobjective optimization algorithm based on multivariate mean square error and fuzzy decision maker. - Juliana Helena Daroz Gaudêncio; João Éderson Corrêa; Vinicius de Carvalho Paes; Paulo Henrique da Silva Campos; João Batista Turrioni; Anderson Paulo de Paiva (Appl. Soft Comput., 2019)

A multivariate normal boundary intersection PCA-based approach to reduce dimensionality in optimization problems for LBM process. - Gabriela Belinato; Fabrício Alves de Almeida; Anderson Paulo de Paiva; José Henrique de Freitas Gomes; Pedro Paulo Balestrassi; Pedro Alexandre Rodrigues Carvalho Rosa (Eng. Comput., 2019)

Fuzzy multivariate mean square error in equispaced pareto frontiers considering manufacturing process optimization problems. - Juliana Helena Daroz Gaudêncio; Fabrício Alves de Almeida; Rachel Campos Sabioni; João Batista Turrioni; Anderson Paulo de Paiva; Paulo Henrique da Silva Campos (Eng. Comput., 2019)

Correlation analysis among audible sound emissions and machining parameters in hardened steel turning. - Edielson Prevato Frigieri; Carlos Alberto Ynoguti; Anderson Paulo de Paiva (J. Intell. Manuf., 2019)

A Gage Study Through the Weighting of Latent Variables Under Orthogonal Rotation. - Fabrício Alves de Almeida; Simone Carneiro Streitenberger; Alexandre Fonseca Torres; Anderson Paulo de Paiva; José Henrique de Freitas Gomes (IEEE Access, 2020)

Integrating Multivariate Statistical Analysis Into Six Sigma DMAIC Projects: A Case Study on AISI 52100 Hardened Steel Turning. - Rogério Santana Peruchi; Paulo Rotela Junior; Tarcísio Gonçalves Brito; Anderson Paulo de Paiva; Pedro Paulo Balestrassi; Lavínia M. Mendes Araújo (IEEE Access, 2020)

Multivariate Stochastic Optimization Approach Applied in a Flux-Cored Arc Welding Process. - Alexandre Fonseca Torres; Franco B. Rocha; Fabrício Alves de Almeida; José Henrique de Freitas Gomes; Anderson Paulo de Paiva; Pedro Paulo Balestrassi (IEEE Access, 2020)

Multivariate data quality assessment based on rotated factor scores and confidence ellipsoids. - Fabrício Alves de Almeida; Rodrigo Reis Leite; Guilherme Ferreira Gomes; José Henrique de Freitas Gomes; Anderson Paulo de Paiva (Decis. Support Syst., 2020)

A PCA-Based Consistency and Sensitivity Approach for Assessing Linkage Methods in Voltage Sag Studies. - Fabrício Alves de Almeida; Luiz Gustavo De Mello; Estevão Luiz Romão; Guilherme Ferreira Gomes; José Henrique de Freitas Gomes; Anderson Paulo de Paiva; Jacques Miranda Filho; Pedro Paulo Balestrassi (IEEE Access, 2021)

Toward a robust optimal point selection: a multiple-criteria decision-making process applied to multi-objective optimization using response surface methodology. - Luiz Célio Souza Rocha; Paulo Rotela Junior; Giancarlo Aquila; Anderson Paulo de Paiva; Pedro Paulo Balestrassi (Eng. Comput., 2021)

Multivariate Taguchi loss function optimization based on principal components analysis and normal boundary intersection. - Fabrício Alves de Almeida; Ana Carolina Oliveira Santos; Anderson Paulo de Paiva; Guilherme Ferreira Gomes; José Henrique de Freitas Gomes (Eng. Comput., 2022)