Kristian Hovde Liland
Kristian Hovde Liland
Associate Professor in Data Science at NMBU
Verified email at - Homepage
Cited by
Cited by
A review of variable selection methods in partial least squares regression
T Mehmood, KH Liland, L Snipen, S Sæbø
Chemometrics and Intelligent Laboratory Systems 118, 62-69, 2012
pls: Partial Least Squares and Principal Component regression, r package version 2.3-0 (2011)
BH Mevik, R Wehrens, KH Liland
URL http://CRAN. R-project. org/package= pls, 0
Multivariate methods in metabolomics–from pre-processing to dimension reduction and statistical analysis
KH Liland
TrAC Trends in Analytical Chemistry 30 (6), 827-841, 2011
Optimal choice of baseline correction for multivariate calibration of spectra
KH Liland, T Almøy, BH Mevik
Applied spectroscopy 64 (9), 1007-1016, 2010
Comparison of the digestion of caseins and whey proteins in equine, bovine, caprine and human milks by human gastrointestinal enzymes
RA Inglingstad, TG Devold, EK Eriksen, H Holm, M Jacobsen, KH Liland, ...
Dairy science & technology 90 (5), 549-563, 2010
Canonical partial least squares—a unified PLS approach to classification and regression problems
UG Indahl, KH Liland, T Næs
Journal of Chemometrics: A Journal of the Chemometrics Society 23 (9), 495-504, 2009
micropan: an R-package for microbial pan-genomics
L Snipen, KH Liland
BMC bioinformatics 16 (1), 79, 2015
Baseline: baseline correction of spectra
KH Liland, BH Mevik, R Canteri
R package version 1, 2-1, 2015
Model‐based pre‐processing in Raman spectroscopy of biological samples
KH Liland, A Kohler, NK Afseth
Journal of Raman Spectroscopy 47 (6), 643-650, 2016
Feasibility of NIR interactance hyperspectral imaging for on-line measurement of crude composition in vacuum packed dry-cured ham slices
P Gou, E Santos-Garces, M Høy, JP Wold, KH Liland, E Fulladosa
Meat science 95 (2), 250-255, 2013
Powered partial least squares discriminant analysis
KH Liland, UG Indahl
Journal of Chemometrics: A Journal of the Chemometrics Society 23 (1), 7-18, 2009
Comparing K-mer based methods for improved classification of 16S sequences
H Vinje, KH Liland, T Almøy, L Snipen
BMC bioinformatics 16 (1), 1-13, 2015
Customized baseline correction
KH Liland, EO Rukke, EF Olsen, T Isaksson
Chemometrics and Intelligent Laboratory Systems 109 (1), 51-56, 2011
Determination of O2 and CO2 transmission rate of whole packages and single perforations in micro-perforated packages for fruit and vegetables
H Larsen, KH Liland
Journal of Food Engineering 119 (2), 271-276, 2013
Variable selection in multi-block regression
A Biancolillo, KH Liland, I Måge, T Næs, R Bro
Chemometrics and Intelligent Laboratory Systems 156, 89-101, 2016
Oxidative stability of polyunsaturated edible oils mixed with microcrystalline cellulose
LC Saga, EO Rukke, KH Liland, B Kirkhus, B Egelandsdal, J Karlsen, ...
Journal of the American Oil Chemists' Society 88 (12), 1883-1895, 2011
A systematic search for discriminating sites in the 16S ribosomal RNA gene
H Vinje, T Almøy, KH Liland, L Snipen
Microbial informatics and experimentation 4 (1), 1-9, 2014
Mining online community data: The nature of ideas in online communities
K Christensen, KH Liland, K Kvaal, E Risvik, A Biancolillo, J Scholderer, ...
Food Quality and Preference 62, 246-256, 2017
Towards on-line prediction of dry matter content in whole unpeeled potatoes using near-infrared spectroscopy
T Helgerud, JP Wold, MB Pedersen, KH Liland, S Ballance, SH Knutsen, ...
Talanta 143, 138-144, 2015
Comparison of UV-C and pulsed UV light treatments for reduction of Salmonella, Listeria monocytogenes, and enterohemorrhagic Escherichia coli on eggs
AL Holck, KH Liland, SM Drømtorp, M Carlehög, A McLeod
Journal of food protection 81 (1), 6-16, 2018
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