Preventing over‐fitting in PLS calibration models of near‐infrared (NIR) spectroscopy data using regression coefficients

By Aoife A. Gowen, G. Downey, Carlos Esquerre, Colm O'Donnell. 2011

194 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biophysics, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/9093be1dec61822eb6e7781c0145646c082743f0

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. Kjell Johnson
2. Aoife A. Gowen
3. Max Kuhn
4. Miron Bartosz Kursa
5. Przemyslaw Biecek
6. Abdulhakim M. Abdi
7. David A. Noever
8. Ahmed E. Hassan

In Biophysics

1. Aoife A. Gowen

Citations in the corpus

• Characterisation of titanium oxide layers using Raman spectroscopy and optical profilometry: Influence of oxide properties (2019, methodology): “1 Partial least squares regression Non-Linear Iterative Partial Least Squares (NIPALS) regression [40] was used in order to predict measured surface roughness from the Raman spectra.”
• Applied Predictive Modeling (2013, background): “2003; Steyerberg 2010), chemometrics (Gowen et al. 2010; Hawkins 2004; Defernez and Kemsley 1997), meteorology (Hsieh and Tang 1998), finance (Dwyer 2005), and marital research (Heyman and Slep 2001) to name a few.”