Tormod Naes
Tormod Naes
Professor på Nofima
Verificeret mail på nofima.no
Citeret af
Citeret af
Multivariate calibration
H Martens, T Naes
John Wiley & Sons, 1992
A user-friendly guide to multivariate calibration and classification
T Næs, T Isaksson, T Fearn, T Davies
NIR, 2002
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
The effect of multiplicative scatter correction (MSC) and linearity improvement in NIR spectroscopy
T Isaksson, T Næs
Applied Spectroscopy 42 (7), 1273-1284, 1988
Statistics for sensory and consumer science
T Næs, PB Brockhoff, O Tomic
John Wiley & Sons, 2011
Locally weighted regression and scatter correction for near-infrared reflectance data
T Naes, T Isaksson, B Kowalski
Analytical Chemistry 62 (7), 664-673, 1990
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
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
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
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
Comparison of prediction methods for multicollinear data
T Naes, H Martens
Communications in Statistics-Simulation and Computation 14 (3), 545-576, 1985
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
Consumer preference mapping of dry fermented lamb sausages
H Helgesen, R Solheim, T Næs
Food Quality and Preference 8 (2), 97-109, 1997
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
Analysis of variance for sensory data
P Lea, T Næs, M Rødbotten
John Wiley, 1997
Abrupt temporal fluctuations in the chicken fecal microbiota are explained by its gastrointestinal origin
M Sekelja, I Rud, SH Knutsen, V Denstadli, B Westereng, T Naes, K Rudi
Applied and environmental microbiology 78 (8), 2941-2948, 2012
Artificial neural networks in multivariate calibration
T Næs, K Kvaal, T Isaksson, C Miller
Journal of Near Infrared Spectroscopy 1 (1), 1-11, 1993
Analysing sensory panel performance in a proficiency test using the PanelCheck software
O Tomic, G Luciano, A Nilsen, G Hyldig, K Lorensen, T Næs
European Food Research and Technology 230, 497-511, 2010
Motivation for choice and healthiness perception of calorie-reduced dairy products. A cross-cultural study
SB Johansen, T Næs, M Hersleth
Appetite 56 (1), 15-24, 2011
Multivariate analysis of data in sensory science
T Næs, E Risvik
Elsevier, 1996
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