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Showing results 1-50 of 410 << Previous 1 2 3 4 5 6 7 8 9    Next >>

2021
1 Velázquez, Ana Laura; Alcaire, Florencia; Vidal, Leticia; Varela, Paula; Næs, Tormod; Ares, Gastón.
The influence of label information on the snacks parents choose for their children: Individual differences in a choice based conjoint test. Food Quality and Preference 2021 ;Volume 94.
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2020
2 Berget, Ingunn; Bech, Søren; Giacalone, Davide; Moulin, Samuel; Pedersen, Mads Erling; Varela, Paula; Næs, Tormod.
Sound quality perception of loudspeakers evaluated by different sensory descriptive methods and preference mapping. Journal of sensory studies 2020 p. -
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3 Berget, Ingunn; Castura, John C.; Ares, Gaston; Næs, Tormod; Varela, Paula.
Exploring the common and unique variability in TDS and TCATA data - A comparison using canonical correlation and orthogonalization. Food Quality and Preference 2020 ;Volume 79.
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4 Brand, Jeanne; Valentin, Dominique; Kidd, Martin; Vivier, Melane A.; Næs, Tormod; Nieuwoudt, Helene H..
Comparison of pivot profile© to frequency of attribute citation: Analysis of complex products with trained assessors. Food Quality and Preference 2020 ;Volume 84. p. -
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5 Eskildsen, Carl Emil Aae; Næs, Tormod.
Sample-Specific Prediction Error Measures in Spectroscopy. Applied Spectroscopy 2020 ;Volume 74.(7) p. 791-798
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6 Galler, Martina; Næs, Tormod; L. Almli, Valérie; Varela, Paula.
How children approach a CATA test influences the outcome. Insights on ticking styles from two case studies with 6–9-year old children. Food Quality and Preference 2020 ;Volume 86.
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7 Nguyen, Quoc Cuong; Liland, Kristian Hovde; Tomic, Oliver; Tarrega, Amparo; Varela-Tomasco, Paula Alejandra; Næs, Tormod.
SO-PLS as an alternative approach for handling multi-dimensionality in modelling different aspects of consumer expectations. Food Research International 2020 ;Volume 133. p. -
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8 Niimi, Jun; Tomic, Oliver; Næs, Tormod; Bastian, Susan E.P.; Jeffrey, David W.; Nicholson, Emily L.; Maffei, Suzanne M.; Boss, Paul K..
Objective measures of grape quality: From Cabernet Sauvignon grape composition to wine sensory characteristics. Lebensmittel-Wissenschaft + Technologie 2020 ;Volume 123. p. -
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9 Næs, Tormod.
Application of fuzzy clustering.. Universita’ di Napoli, Federico II; 2020-02-04
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10 Næs, Tormod.
So-Pls for path modelllng. Sensometrics 2020; 2020-10-06
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11 Næs, Tormod; Romano, Rosaria; Tomic, Oliver; Måge, Ingrid; Smilde, Age K.; Liland, Kristian Hovde.
Sequential and orthogonalized PLS (SO-PLS) regression for path analysis: Order of blocks and relations between effects. Journal of Chemometrics 2020 p. -
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2019
12 Berget, Ingunn; Cuong, Nguyen Quoc; Varela, Paula; Måge, Ingrid; Næs, Tormod.
Sequential Clusterwise Rotations (SCR) - a tool for clustering three way data. SSC16 - The 16th Scandinavian Symposium of Chemometrics, "Chemometrics in Action”; 2019-06-17 - 2019-06-20
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13 Berget, Ingunn; Varela, Paula; Næs, Tormod.
Segmentation in projective mapping. Food Quality and Preference 2019 ;Volume 71. p. 8-20
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14 Biancolillo, Alessandra; Næs, Tormod.
The sequential and orthogonalized PLS regression for multiblock regression: Theory, examples and extensions. I: Data Fusion Methodology and Applications. Elsevier 2019 ISBN 978-0-444-63984-4. p. 157-177
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15 Davino, Cristina; Romano, Rosaria; Næs, Tormod; Vistocco, Domenico.
A new approach to preference mapping through quantile regression. Cladag 2019; 2019-09-11 - 2019-09-13
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16 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 2017 Denmark. IM Publications 2019 ISBN 978-1-906715-27-4. p. 39-44
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17 Moore, Dylan; Dahl, Tobias; Varela, Paula; Ju, Wendy; Næs, Tormod; Berget, Ingunn.
Unintended Consonances: Methods to Understand Robot Motor Sound Perception. I: ACM CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM) 2019 ISBN 978-1-4503-5970-2. p. 1-12
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18 Nguyen, Quoc Cuong.
Better understanding of the relation of the dynamic sensory perception of solid and semi solid Foods With consumers' preferences of satiety. Ås: Norwegian University of Life Sciences 2019 (ISBN 978-82-575-1576-8) 100 p.
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19 Næs, Tormod.
Analyzing individual differences in sensory and consumer science.. Biannual meeting in Spanish Sensory Society; 2019-06-27 - 2019-06-28
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20 Næs, Tormod.
Applications of fuzzy clustering. Gjesteforelesning Department of food Science; 2019-04-24 - 2019-04-24
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21 Næs, Tormod.
Multiblock regression using PLS regression.. Seminar om Multiblock Analysis; 2019-02-07 - 2019-02-07
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22 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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23 Tomic, Oliver; Graff, Thomas; Liland, Kristian Hovde; Næs, Tormod.
hoggorm: a python library for explorative multivariate statistics. Journal of Open Source Software (JOSS) 2019 ;Volume 4.(39)
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24 Varela, Paula; Næs, Tormod.
Tekstur som kur for overspising?. Næringsnytte 2019 ;Volume 9. p. 16-
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2018
25 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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26 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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27 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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28 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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29 Davino, Cristina; Næs, Tormod; Romano, Rosaria; Vistocco, D.
Modelling preferences: beyond the average effects.. ASMOD conference; 2018-10-26
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30 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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31 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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32 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 ;Volume 79. p. 1-10
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33 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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34 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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35 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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36 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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37 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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38 Næs, Tormod.
Chemometrics, what is that?. Copenhagen School of Chemometrics; 2018-05-07 - 2018-05-07
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39 Næs, Tormod.
Individual differences in sensory and consumer Science.. Sensometrics 2018; 2018-04-09 - 2018-04-11
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40 Næs, Tormod.
Multiblock methods in sensory and consumer science. Seminar serie; 2018-03-14 - 2018-03-14
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41 Næs, Tormod.
Preference mapping. gjesteforelesning på Univ Napoli , Federico II; 2018-10-23
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42 Næs, Tormod.
Preference mapping og conjoint analysis using the Consumercheck software.. Sensometrics 2018; 2018-04-09 - 2018-04-11
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43 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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44 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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45 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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46 Romano, Rosaria; Tomic, Oliver; Liland, Kristian Hovde; Smilde, Age; Næs, Tormod.
So-Pls for path modelling.. Computational Statistics (COMPSTAT2018); 2018-08-28 - 2018-08-31
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47 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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48 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
49 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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50 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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