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Liland, Kristian H.
113
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Online (113)
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Articles (Online) (102)
Bookchapter (Online) (4)
OpenAccess-fulltext (6)
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?
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
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/..
?
6
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/..
?
7
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/..
?
8
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/..
?
9
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/..
?
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..
1-15