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Roberto Kawakami Harrop Galvão
Researcher at Instituto Tecnológico de Aeronáutica
Publications - 189
Citations - 4430
Roberto Kawakami Harrop Galvão is an academic researcher from Instituto Tecnológico de Aeronáutica. The author has contributed to research in topics: Wavelet & Model predictive control. The author has an hindex of 31, co-authored 184 publications receiving 3897 citations. Previous affiliations of Roberto Kawakami Harrop Galvão include Federal University of Paraíba.
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Journal ArticleDOI
A method for calibration and validation subset partitioning.
Roberto Kawakami Harrop Galvão,Mário César Ugulino de Araújo,Gledson Emidio José,Márcio José Coelho Pontes,Edvan Cirino da Silva,Teresa Cristina Bezerra Saldanha +5 more
TL;DR: A new method to divide a pool of samples into calibration and validation subsets for multivariate modelling is proposed, and the results of F-tests at 95% confidence level reveal that the proposed technique may be an advantageous alternative to the other three strategies.
Journal ArticleDOI
A variable elimination method to improve the parsimony of MLR models using the successive projections algorithm
Roberto Kawakami Harrop Galvão,Mário César Ugulino de Araújo,Wallace D. Fragoso,Edvan Cirino da Silva,Gledson Emidio José,Sófacles Figueredo Carreiro Soares,Henrique Mohallem Paiva +6 more
TL;DR: The successive projections algorithm (SPA) as discussed by the authors is a variable selection technique designed to minimize collinearity problems in multiple linear regression (MLR) models, and it has been shown that the number of variables selected by SPA can be reduced without significantly compromising prediction performance.
Journal ArticleDOI
The successive projections algorithm
Sófacles Figueredo Carreiro Soares,Adriano de Araújo Gomes,Mário César Ugulino de Araújo,Arlindo Rodrigues Galvão Filho,Roberto Kawakami Harrop Galvão +4 more
TL;DR: The successive projections algorithm (SPA) is a variable selection technique that has attracted increasing interest in the analytical-chemistry community in the past 10 years as discussed by the authors, and it has been proposed for sample selection, calibration transfer, and Quantitative Structure-Activity Relationship (QSAR) studies.
Journal ArticleDOI
The successive projections algorithm for spectral variable selection in classification problems
Márcio José Coelho Pontes,Roberto Kawakami Harrop Galvão,Mário César Ugulino de Araújo,Pablo N.T. Moreira,Osmundo D. Pessoa Neto,Gledson Emidio José,Teresa Cristina Bezerra Saldanha +6 more
TL;DR: The collinearity minimization role of SPA is exploited in the context of classification methods for which coll inearity is a known cause of generalization problems, and it is shown that SPA-LDA is superior to SIMCA and comparable to GA-Lda with respect to classification accuracy in an independent prediction set.
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NIR spectrometric determination of quality parameters in vegetable oils using iPLS and variable selection
Alessandra F.C. Pereira,Márcio José Coelho Pontes,Francisco Fernandes Gambarra Neto,Sérgio R. B. Santos,Roberto Kawakami Harrop Galvão,Mário César Ugulino de Araújo +5 more
TL;DR: In this article, a combination of spectral range selection by interval partial least squares (iPLS) and variable selection by the successive projections algorithm (SPA) is proposed to obtain simple multiple linear regression (MLR) models based on a small subset of wavenumbers.