Tormod Naes
Tormod Naes
Professor på Nofima
Verified email at nofima.no
Title
Cited by
Cited by
Year
Multivariate calibration
H Martens, T Nï
John Wiley & Sons, 1992
81881992
A user friendly guide to multivariate calibration and classification
T Næs, T Isaksson, T Fearn, T Davies
NIR publications, 2002
20262002
The effect of multiplicative scatter correction (MSC) and linearity improvement in NIR spectroscopy
T Isaksson, T Næs
Applied Spectroscopy 42 (7), 1273-1284, 1988
5031988
Statistics for sensory and consumer science
T Næs, PB Brockhoff, O Tomić
Wiley, 2010
3882010
Locally weighted regression and scatter correction for near-infrared reflectance data
T Naes, T Isaksson, B Kowalski
Analytical Chemistry 62 (7), 664-673, 1990
3301990
Making sense of the “clean label” trends: A review of consumer food choice behavior and discussion of industry implications
D Asioli, J Aschemann-Witzel, V Caputo, R Vecchio, A Annunziata, T Næs, ...
Food Research International 99, 58-71, 2017
3042017
Understanding the collinearity problem in regression and discriminant analysis
T Næs, BH Mevik
Journal of Chemometrics: A Journal of the Chemometrics Society 15 (4), 413-426, 2001
2672001
Related versions of the multiplicative scatter correction method for preprocessing spectroscopic data
IS Helland, T Næs, T Isaksson
Chemometrics and Intelligent Laboratory Systems 29 (2), 233-241, 1995
2571995
Principal component regression in NIR analysis: viewpoints, background details and selection of components
T Næs, H Martens
Journal of chemometrics 2 (2), 155-167, 1988
2401988
General image and attribute perceptions of traditional food in six European countries
VL Almli, W Verbeke, F Vanhonacker, T Næs, M Hersleth
Food Quality and Preference 22 (1), 129-138, 2011
2202011
A new and simple approach to multi-group analysis in partial least squares path modeling
J Henseler
As, Norwegen:[Sn], 2007
2122007
Comparison of prediction methods for multicollinear data
T Naes, H Martens
Communications in Statistics-Simulation and Computation 14 (3), 545-576, 1985
1971985
Consumer preference mapping of dry fermented lamb sausages
H Helgesen, R Solheim, T Næs
Food Quality and Preference 8 (2), 97-109, 1997
1471997
Analysis of variance for sensory data
P Lea, T Næs, M Rødbotten
John Wiley, 1997
1371997
Prediction of sensory characteristics of beef by near-infrared spectroscopy
KI Hildrum, BN Nilsen, M Mielnik, T Naes
Meat science 38 (1), 67-80, 1994
1371994
Linking gene regulation and the exo-metabolome: a comparative transcriptomics approach to identify genes that impact on the production of volatile aroma compounds in yeast
D Rossouw, T Næs, FF Bauer
BMC genomics 9 (1), 1-10, 2008
1302008
Near infra-red spectroscopy: bridging the gap between data analysis and NIR applications
KI Hildrum
Ellis Horwood Limited, 1992
1271992
Artificial neural networks in multivariate calibration
T Næs, K Kvaal, T Isaksson, C Miller
Journal of Near Infrared Spectroscopy 1 (1), 1-11, 1993
1251993
Multivariate calibration
H Martens, T Naes
Chemometrics, 147-156, 1984
1181984
Acceptance of calorie-reduced yoghurt: Effects of sensory characteristics and product information
SB Johansen, T Næs, J Øyaas, M Hersleth
Food Quality and Preference 21 (1), 13-21, 2010
1122010
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