Robust modeling for multivariate calibration transfer by the successive projections algorithm

By F. Honorato, Roberto Kawakami Harrop Galvão, M. Pimentel, B. B. Neto, Mário César Ugulino de Araújo, F. R. Carvalho. 2005

50 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Control and Systems Engineering, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/69ab9ed0c7507b76a8bdf6a050f90519db16e59b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. A. Gomes
2. Edvan Cirino da Silva
3. Germano Véras
4. Roberto Kawakami Harrop Galvão
5. Mário César Ugulino de Araújo

In Control and Systems Engineering

1. Roberto Kawakami Harrop Galvão
2. Mário César Ugulino de Araújo
3. Edvan Cirino da Silva
4. A. Gomes
5. Germano Véras

In Industrial and Manufacturing Engineering

1. Edvan Cirino da Silva
2. A. Gomes
3. Roberto Kawakami Harrop Galvão
4. Mário César Ugulino de Araújo

Citations in the corpus

• The successive projections algorithm for interval selection in PLS (2013, methodology): “The good results obtained by SPA–MLR in different analytical problems [15] motivated the extension of the algorithm to other fields of Chemometrics, such as calibration transfer [16], classification problem [17–19] and sample selection [20].”