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2019
1 Berget, Ingunn; Varela, Paula; Næs, Tormod.
Segmentation in projective mapping. Food Quality and Preference 2019 ;Volume 71. p. 8-20
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2 Eskildsen, Carl Emil Aae; Næs, Tormod; Wold, Jens Petter; Afseth, Nils Kristian; Engelsen, Søren Balling.
Visualizing indirect correlations when predicting fatty acid composition from near infrared spectroscopy measurements. I: Proceedings of the 18th International Conference on Near Infrared Spectroscopy. : IM Publications Open 2019 ISBN 978-1-906715-27-4. p. 39-44
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3 Næs, Tormod.
Applications of fuzzy clustering. Gjesteforelesning Department of food Science; 2019-04-24 - 2019-04-24
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4 Næs, Tormod.
Multiblock regression using PLS regression.. Seminar om Multiblock Analysis; 2019-02-07 - 2019-02-07
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5 Romano, Rosaria; Tomic, Oliver; Liland, Kristian Hovde; Smilde, Age; Næs, Tormod.
A comparison of two PLS-based approaches to structural equation modeling. Journal of Chemometrics 2019 ;Volume 33.(3) p. 1-28
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2018
6 Almli, Valerie Lengard; Næs, Tormod.
Conjoint Analysis in Sensory and Consumer Science: Principles, Applications, and Future Perspectives. I: Methods in Consumer Research, New Approaches to Classic Methods. Woodhead Publishing Limited 2018 ISBN 9780081020890. p. 485-529
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7 Asioli, Daniele; Berget, Ingunn; Næs, Tormod.
Comparison of different clustering methods for investigating individual differences using choice experiments. Food Research International 2018 ;Volume 111. p. 371-378
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8 Brand, J; Kidd, M; van Antwerpen, L; Valentin, D; Næs, Tormod; Nieuwoudt, Helene H..
Sorting in combination with quality scoring: A tool for industry professionals to identify drivers of wine quality rapidly. South African Journal for Enology and Viticulture 2018 ;Volume 39.(2) p. 163-175
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9 Christensen, Kasper Knoblauch; Scholderer, Joachim; Hersleth, Stine Alm; Næs, Tormod; Kvaal, Knut; Mollestad, Torulf; Veflen, Nina; Risvik, Einar.
How good are ideas identified by an automatic idea detection system?. Creativity and Innovation Management 2018 ;Volume 27.(1) p. 23-31
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10 Davino, Cristina; Næs, Tormod; Romano, Rosaria; Vistocco, D.
Modelling preferences: beyond the average effects.. ASMOD conference; 2018-10-26
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11 Indahl, Ulf Geir; Næs, Tormod; Liland, Kristian Hovde.
A similarity index for comparing coupled matrices. Journal of Chemometrics 2018 ;Volume 32.(10) p. -
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12 Liland, Kristian Hovde; Smilde, Age K.; Marini, Federico; Næs, Tormod.
Confidence ellipsoids for ASCA models based on multivariate regression theory. Journal of Chemometrics 2018 ;Volume 32.(5)
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13 Nguyen, Quoc Cuong; Næs, Tormod; Almøy, Trygve; Varela, Paula.
Portion size selection as related to product and consumer characteristics studied by PLS path modelling. Food Quality and Preference 2018 p. 1-10
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14 Nguyen, Quoc Cuong; Næs, Tormod; Varela, Paula.
Different mouth behavior influence expectations of satiation and satiety. Eurosense 2018; 2018-09-02 - 2018-09-05
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15 Nguyen, Quoc Cuong; Næs, Tormod; Varela, Paula.
Investigating the influence of different mouth behaviour on expectations of satiation and satiety. Eurosense 2018; 2018-09-02 - 2018-09-05
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16 Nguyen, Quoc Cuong; Næs, Tormod; Varela, Paula.
Main factors influencing portion-size selection using PLS Path Modelling approach. Sensometrics 2018; 2018-04-09 - 2018-04-12
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17 Nguyen, Quoc Cuong; Næs, Tormod; Varela, Paula.
When the choice of the temporal method does make a difference: TCATA, TDS and TDS by modality for characterizing semi-solid foods. Food Quality and Preference 2018 ;Volume 66. p. 95-106
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18 Niimi, Jun; Tomic, Oliver; Næs, Tormod; Jeffery, David; Bastian, Susan E.P.; Boss, Paul K..
Application of sequential and orthogonalised-partial least squares (SO-PLS) regression to predict sensory properties of Cabernet Sauvignon wines from grape chemical composition. Food Chemistry 2018 ;Volume 256. p. 195-202
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19 Næs, Tormod.
Chemometrics, what is that?. Copenhagen School of Chemometrics; 2018-05-07 - 2018-05-07
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20 Næs, Tormod.
Individual differences in sensory and consumer Science.. Sensometrics 2018; 2018-04-09 - 2018-04-11
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21 Næs, Tormod.
Multiblock methods in sensory and consumer science. Seminar serie; 2018-03-14 - 2018-03-14
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22 Næs, Tormod.
Preference mapping. gjesteforelesning på Univ Napoli , Federico II; 2018-10-23
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23 Næs, Tormod.
Preference mapping og conjoint analysis using the Consumercheck software.. Sensometrics 2018; 2018-04-09 - 2018-04-11
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24 Næs, Tormod; Varela, Paula; Berget, Ingunn.
Individual differences in sensory and consumer science. Experimentation, analysis and interpretation. Woodhead Publishing Limited 2018 (ISBN 978-0-08-101000-6) 250 p.
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25 Pedersen, Mads Erling; Moulin, S.; Berget, Ingunn; Varela, Paula; Næs, Tormod; Beck, S..
Sensory profiling of loudspeakers using rapid methods compared to traditional QDA. Eight European Conference on Sensory and Consumer Research 2018; 2018-09-02 - 2018-09-05
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26 Pomarici, Eugenio; Asioli, Daniele; Vecchio, Riccardo; Næs, Tormod.
Young consumers' preferences for water-saving wines: An experimental study. Wine Economics and Policy 2018 ;Volume 7.(1) p. 65-76
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27 Romano, Rosaria; Tomic, Oliver; Liland, Kristian Hovde; Smilde, Age; Næs, Tormod.
Valorization of Proteins from Co- and By-Products from the Fish and Meat Industry. Computational Statistics (COMPSTAT2018); 2018-08-28 - 2018-08-31
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28 Varela, Paula; Antúnez, Lucía; Carlehög, Mats; Alcaire, Florencia; Castura, J.C; Berget, Ingunn; Giménez, Ana; Næs, Tormod; Ares, Gastón.
What is dominance? An exploration of the concept in TDS tests with trained assessors and consumers. Food Quality and Preference 2018 ;Volume 64. p. 72-81
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29 Varela, Paula; Næs, Tormod; Hervé, Abdi.
Focusing consumers responses by restricting the number of answers in a CATA test: further exploration of Check-k-that-apply. Sensometrics 2018; 2018-04-09 - 2018-04-12
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2017
30 Asioli, Daniele; Aschemann-Witzel, Jessica; Caputo, Vincenzina; Vicchio, Riccardo; Annunziata, Azzurra; Næs, Tormod; Varela, Paula.
Making sense of the “clean label” trends: A review of consumer food choice behavior and discussion of industry implications. Food Research International 2017 ;Volume 99.(1) p. 58-71
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31 Asioli, Daniele; Berget, Ingunn; Næs, Tormod.
Comparison of different clustering methods for investigating individual differences using choice experiments.. XV EAAE Congress “Towards Sustainable Agri-Food Systems: Balancing between Markets and Society”; 2017-08-29 - 2017-09-01
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32 Asioli, Daniele; Næs, Tormod.
Investigating heterogeneity among consumers using choice-based conjoint analysis models: an overview of methods.. StatFood2017; 2017-09-07 - 2017-09-09
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33 Asioli, Daniele; Varela, Paula; Hersleth, Margrethe; Almli, Valerie Lengard; Olsen, Nina Veflen; Næs, Tormod.
A discussion of recent methodologies for combining sensory and extrinsic product properties in consumer studies. Food Quality and Preference 2017 ;Volume 56. p. 266-273
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34 Berget, Ingunn; Liland, Kristian Hovde; Varela, Paula; Ares, Gaston; Næs, Tormod.
Comparison of MFA and INDSCAL for analysis of PSP data. Miniarctic, Workshop; 2017-11-09 - 2017-11-10
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35 Biancolillo, Alessandra; Næs, Tormod; Bro, Rasmus; Måge, Ingrid.
Extension of SO-PLS to multi-way arrays: SO-N-PLS. Chemometrics and Intelligent Laboratory Systems 2017 ;Volume 164. p. 113-126
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36 Christensen, Kasper Knoblauch; Liland, Kristian Hovde; Kvaal, Knut; Risvik, Einar; Biancolillo, Alessandra; Scholderer, Joachim; Nørskov, Sladjana; Næs, Tormod.
Mining online community data: The nature of ideas in online communities. Food Quality and Preference 2017 ;Volume 62. p. 246-256
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37 Eskildsen, Carl Emil Aae; Næs, Tormod; Wold, Jens Petter.
Correcting Reabsorption in Fluorescence Measurements – a feasibility study. 7th International Chemometrics Research Meeting; 2017-09-10 - 2017-09-14
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38 Kaasen, Anne; Helbig, Anne; Malt, Ulrik Fredrik; Næs, Tormod; Skari, Hans; Haugen, Guttorm.
Maternal psychological responses during pregnancy after ultrasonographic detection of structural fetal anomalies: A prospective longitudinal observational study. PLoS ONE 2017 ;Volume 12.(3) p. -
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39 Kaasen, Anne; Helbig, Anne; Malt, Ulrik Fredrik; Skari, Hans; Næs, Tormod; Haugen, Guttorm.
Parental psychological stress responses in pregnancy after ultrasonographic detection of fetal malformation. 18th European Conference on Developmental Psychology; 2017-08-29 - 2017-09-01
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40 Lezaeta, A.; Bordeu, Edmundo; Næs, Tormod; Varela, Paula.
Exploration of consumer perception of Sauvignon Blanc wines with enhanced aroma properties using two different descriptive methods. Food Research International 2017 ;Volume 99. p. 186-197
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41 Liland, Kristian Hovde; Smilde, Age K.; Marini, Federico; Næs, Tormod.
ASCA - model ellipsoids. Scandinavian Symposium on Chemometrics 15; 2017-06-19 - 2017-06-22
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42 Mekasha, Sophanit; Byman, Ida Roksvåg; Lynch, Catherine; Toupalová, Hana; Andera, Ladislav; Næs, Tormod; Vaaje-Kolstad, Gustav; Eijsink, Vincentius Gerardus Henricus.
Development of enzyme cocktails for complete saccharification of chitin using mono-component enzymes from Serratia marcescens. Process Biochemistry 2017 ;Volume 56. p. 132-138
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43 Mekasha, Sophanit; Byman, Ida Roksvåg; Lynch, Catherine; Toupalová, Hana; AndÄ›ra, Ladislav; Næs, Tormod; Vaaje-Kolstad, Gustav; Eijsink, Vincentius Gerardus Henricus.
Development of enzyme cocktails for complete saccharification of chitin using mono-component enzymes from Serratia marcescens. NBS Contactmeeting 2017; 2017-01-19 - 2017-01-22
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44 Moelich, Erika Ilette; Muller, Magdalena; Joubert, Elizabeth; Næs, Tormod; Kidd, Martin.
Validation of projective mapping as potential sensory screening tool for application by the honeybush herbal tea industry. Food Research International 2017 ;Volume 99.(1) p. 275-286
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45 Nguyen, Quoc Cuong; Næs, Tormod; Kraggerud, Hilde; Varela, Paula.
The potential of temporal methods for characterizing the dynamic sensory profile of semi-solid foods. When does running TCATA or TDS make a difference (Flach presentation). 12th Pangborn Sensory Science Symposium; 2017-08-20 - 2017-08-24
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46 Næs, Tormod.
Multiblock methods, why and how?. Workshop at Italian Chemometric Society; 2017-02-15 - 2017-02-15
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47 Næs, Tormod.
Sensory and consumer data: Multiblock analysis approaches. Italien Sociaty of applied statistics yearly meeting; 2017-09-07 - 2017-09-07
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48 Næs, Tormod.
What is chemometric?. Lecture at Copenhagen School of Chemometrics; 2017-05-15 - 2017-05-15
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49 Næs, Tormod; Berget, Ingunn; Liland, Kristian Hovde; Ares, Gaston; Varela, Paula.
Estimating and interpreting more than two consensus components in projective mapping: INDSCAL vs. multiple factor analysis (MFA). Food Quality and Preference 2017 ;Volume 58. p. 45-60
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50 ; Christensen, Kasper Knoblauch.
Detecting ideas in online communities - Utilizing machine learning and text mining for finding ideas in online communities.. Ås: NMBU 2017 (ISBN 978-82-575-1424-2) 132 p. Philosophiae Doctor (PhD) Thesis(2017:18)
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