Comparison of different variable selection methods conducted on NIR transmission measurements on intact tablets

By C. Abrahamsson, J. Johansson, A. Sparén, F. Lindgren. 2003

137 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biophysics, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/ab34cfa35762126bd27e4718692a4bd5de939e03

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. Solve Sæbø
2. M. Vidal
3. Lars-Gustav Snipen
4. José Manuel Amigo
5. Kristian Hovde Liland
6. Tahir Mehmood
7. Da‐Wen Sun
8. Jun‐Hu Cheng

In Biophysics

1. M. Vidal
2. José Manuel Amigo

In Control and Systems Engineering

1. M. Vidal
2. José Manuel Amigo
3. Kristian Hovde Liland

Citations in the corpus

• A review of variable selection methods in Partial Least Squares Regression (2012, methodology): “Examples of the use of UVE-PLS are the identification of regions contributing to the binding activity of Aromatase enzyme [43], and wavelength selection [44–47].”
• Determination of Geographical Origin and Anthocyanin Content of Black Goji Berry (Lycium ruthenicum Murr.) Using Near-Infrared Spectroscopy and Chemometrics (2017, unknown): “Cluster analysis was adopted to investigate the difference between the samples (Abrahamsson et al. 2003).”
• Pre-processing of hyperspectral images. Essential steps before image analysis (2012, methodology): “In the same way, variable selection [18] could also be an alternative to data reduction, although deciding which variables to exclude for not suffering essential losses is usually a major problem and requires previous knowledge about the data.”