E-LIB Suche - Ergebnisse für: Liland, Kristian H.

1

Selection of principal variables through a modified Gram–Sc..:

Skogholt, Joakim ; Liland, Kristian H. ; Næs, Tormod..
Journal of Chemometrics. 37 (2023) 10 - p. , 2023

Link: https://doi.org/10.1002/..

2

Crude Oil Density Prediction Improved by Multiblock Analysi..:

Gjelsvik, Elise L. ; Fossen, Martin ; Brunsvik, Anders..
Applied Spectroscopy. 77 (2023) 10 - p. 1138-1152 , 2023

Link: https://doi.org/10.1177/..

3

Multiblock data fusion in statistics and machine learning: ..:

Smilde, Age K ; Næs, Tormod ; Liland, Kristian H , 2022

Link: https://onlinelibrary.wi..

4

Prediction of wine sensory properties using mid-infrared sp..:

Niimi, Jun ; Liland, Kristian H. ; Tomic, Oliver...
Food Chemistry. 344 (2021) - p. 128634 , 2021

Link: https://doi.org/10.1016/..

5

Sequential and orthogonalized PLS (SO‐PLS) regression for p..:

Næs, Tormod ; Romano, Rosaria ; Tomic, Oliver...
Journal of Chemometrics. 35 (2020) 10 - p. , 2020

Link: https://doi.org/10.1002/..

6

Fast method for GA‐PLS with simultaneous feature selection ..:

Stefansson, Petter ; Liland, Kristian H. ; Thiis, Thomas.
Journal of Chemometrics. 34 (2020) 3 - p. , 2020

Link: https://doi.org/10.1002/..

7

The use of Fourier‐transform infrared spectroscopy to chara..:

Sanden, Karen W. ; Kohler, Achim ; Afseth, Nils K....
Journal of Biophotonics. 12 (2019) 9 - p. , 2019

Link: https://doi.org/10.1002/..

8

A comparison of two PLS‐based approaches to structural equa..:

Romano, Rosaria ; Tomic, Oliver ; Liland, Kristian H...
Journal of Chemometrics. 33 (2019) 3 - p. , 2019

Link: https://doi.org/10.1002/..

9

Orders of magnitude speed increase in partial least squares..:

Stefansson, Petter ; Indahl, Ulf G. ; Liland, Kristian H..
Journal of Chemometrics. 33 (2019) 11 - p. , 2019

Link: https://doi.org/10.1002/..

10

Comparison of UV-C and Pulsed UV Light Treatments for Reduc..:

Holck, Askild L. ; Liland, Kristian H. ; Drømtorp, Signe M...
Journal of Food Protection. 81 (2018) 1 - p. 6-16 , 2018

Link: https://doi.org/10.4315/..

11

Estimation of composition of quinoa (Chenopodium quinoa Wil..:

Encina-Zelada, Christian ; Cadavez, Vasco ; Pereda, Jorge...
LWT - Food Science and Technology. 79 (2017) - p. 126-134 , 2017

Link: https://doi.org/10.1016/..

12

Towards on-line prediction of dry matter content in whole u..:

Helgerud, Trygve ; Wold, Jens P. ; Pedersen, Morten B....
Talanta. 143 (2015) - p. 138-144 , 2015

Link: https://doi.org/10.1016/..

13

The use of Fourier‐transform infrared spectroscopy to chara..:

Sanden, Karen W ; Kohler, Achim ; Afseth, Nils K...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065610/. , 2019

Link: http://www.ncbi.nlm.nih...

14

Estimation of composition of quinoa (Chenopodium quinoa Wil..:

Encina-Zelada, Christian ; Cadavez, Vasco ; Pereda, Jorge...
Encina-Zelada, Christian; Cadavez, Vasco; Pereda, Jorge; Gómez-Pando, Luz; Salvá-Ruíz, Bettit; Teixeira, José A.; Ibañez, Martha; Liland, Kristian H.; Gonzales-Barron, Ursula (2017). Estimation of composition of quinoa (Chenopodium quinoa Willd.) grains by Near-Infrared Transmission spectroscopy. LWT - Food Science and Technology. ISSN 0023-6438. 79, p. 126-134. , 2017

Link: http://hdl.handle.net/10..

15

Estimation of composition of quinoa (Chenopodium quinoa Wil..:

Encina-Zelada, Christian René ; Cadavez, Vasco ; Pereda, Jorge...
http://www.journals.elsevier.com/lwt-food-science-and-technology/. , 2017

Link: http://hdl.handle.net/18..