Tema: Dataanalyse

Hjem Resultater Tema A-Å Dataanalyse

Resultater

06. mar 2023

Målet er at Norvegia alltid skal smake likt

21. aug 2022

Kveis i fisk kan oppdages med ny teknologi

25. feb 2021

MS – ny forskning baner vei for en ny kurs

12. mar 2019

Doktorgrad om sensorisk oppfattelse av mat kan bidra til å bekjempe fedme og overspising

13. jun 2017

Finner ideer med kunstig intelligens

12. des 2016

Skiller vann og vin med statistikk

Prosjekter

DigitalAqua

Digitalisering for bedre måling av fiskevelferd

2019 - 2023

FoodSMaCK

Spektroskopi, datamodellering og forbrukerkunnskap

2017 - 2020

Verdt å vite

Verdt å vite: 5 spørsmål matprodusenter bør stille seg om big data

Verdt å vite om digitaliseringens muligheter for norsk matproduksjon

Fasiliteter

Eye-tracker

Eye-tracking er en teknologi som ofte kombineres med ansiktsgjenkjenning av følelser for å vise hva forbrukere synes om forskjellige type produkter og informasjon.

Pressemeldinger

Publikasjoner

Evaluation of complementary numerical and visual approaches forinvestigating pairwise comparisons after principal component analysis

Food Quality and Preference, 2023
Vitenskapelig artikkel

Investigating paired comparisons after principal component analysis

Food Quality and Preference, 2023
Vitenskapelig artikkel

Critical evaluation of assessor difference correction approaches in sensory analysis

Food Quality and Preference, 2023
Short communication

Multivariate correlation of infrared fingerprints and molecular weight distributions with bioactivity of poultry by-product protein hydrolysates

Journal of Functional Foods, 2022
Vitenskapelig artikkel

Report of Path Modelling Workshop, Zaandam, The Netherlands, 25–26 April 2022/ Meeting report, Journal of Chemometrics

2022
Rapport

PSP with trained assessors as alternative for descriptive analysis of a product with a complex sensory profile

Food Quality and Preference, 2022
Vitenskapelig artikkel

Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets

IEEE journal of biomedical and health informatics, 2022
Vitenskapelig artikkel

Multiblock data fusion in statistics and machine learning

2022
Vitenskapelig monografi

Combining hedonic information and CATA description for consumer segmentation.

Food Quality and Preference, 2022
Vitenskapelig artikkel

Clustering consumers based on product discrimination in check-all-that-apply (CATA) data

Food Quality and Preference, 2022
Vitenskapelig artikkel

The fourth industrial revolution in the food industry—Part I: Industry 4.0 technologies

Critical reviews in food science and nutrition, 2022
Vitenskapelig oversiktsartikkel/review

RENT—Repeated Elastic Net Technique for Feature Selection

IEEE Access, 2021
Vitenskapelig artikkel

Analysing microbiome intervention design studies: Comparison of alternative multivariate statistical methods

PLOS ONE, 2021
Vitenskapelig artikkel

Making sense of multiple distance matrices through common and distinct components

Journal of Chemometrics, 2021
Vitenskapelig artikkel

Metamodeling of the electrical conditions in submerged arc furnaces

Social Science Research Network (SSRN), 2021
Vitenskapelig artikkel

Comparison of Different Ways of Handling L-shaped Data for Integrating Sensory and Consumer Information

Food Quality and Preference, 2021
Vitenskapelig artikkel

Diagnosing indirect relationships in multivariate calibration models

Journal of Chemometrics, 2021
Vitenskapelig artikkel

Cage of covariance in calibration modeling: Regressing multiple and strongly correlated response variables onto a low rank subspace of explanatory variables

Chemometrics and Intelligent Laboratory Systems, 2021
Vitenskapelig artikkel

Analysing multivariate storage data of seafood spreads. A case study based on combining split-plot design, principal component analysis and partial least squares predictions

Food Control, 2021
Vitenskapelig artikkel

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
Vitenskapelig artikkel

Detecting ideas in online communities – Utilizing machine learning and text mining for finding ideas in online communities.

2017
Doktorgradsavhandling

Resultater

Målet er at Norvegia alltid skal smake likt

Kveis i fisk kan oppdages med ny teknologi

MS – ny forskning baner vei for en ny kurs

Doktorgrad om sensorisk oppfattelse av mat kan bidra til å bekjempe fedme og overspising

Finner ideer med kunstig intelligens

Skiller vann og vin med statistikk

Prosjekter

Digitalisering for bedre måling av fiskevelferd

Spektroskopi, datamodellering og forbrukerkunnskap

Verdt å vite

Verdt å vite: 5 spørsmål matprodusenter bør stille seg om big data

Verdt å vite om digitaliseringens muligheter for norsk matproduksjon

Fasiliteter

Eye-tracker

Pressemeldinger

Publikasjoner

Evaluation of complementary numerical and visual approaches forinvestigating pairwise comparisons after principal component analysis

Investigating paired comparisons after principal component analysis

Critical evaluation of assessor difference correction approaches in sensory analysis

Multivariate correlation of infrared fingerprints and molecular weight distributions with bioactivity of poultry by-product protein hydrolysates

Report of Path Modelling Workshop, Zaandam, The Netherlands, 25–26 April 2022/ Meeting report, Journal of Chemometrics

PSP with trained assessors as alternative for descriptive analysis of a product with a complex sensory profile

Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets

Multiblock data fusion in statistics and machine learning

Combining hedonic information and CATA description for consumer segmentation.

Clustering consumers based on product discrimination in check-all-that-apply (CATA) data

The fourth industrial revolution in the food industry—Part I: Industry 4.0 technologies

RENT—Repeated Elastic Net Technique for Feature Selection

Analysing microbiome intervention design studies: Comparison of alternative multivariate statistical methods

Making sense of multiple distance matrices through common and distinct components

Metamodeling of the electrical conditions in submerged arc furnaces

Comparison of Different Ways of Handling L-shaped Data for Integrating Sensory and Consumer Information

Diagnosing indirect relationships in multivariate calibration models

Cage of covariance in calibration modeling: Regressing multiple and strongly correlated response variables onto a low rank subspace of explanatory variables

Analysing multivariate storage data of seafood spreads. A case study based on combining split-plot design, principal component analysis and partial least squares predictions

The influence of label information on the snacks parents choose for their children: Individual differences in a choice based conjoint test

Detecting ideas in online communities – Utilizing machine learning and text mining for finding ideas in online communities.

Tilknyttede forskningsområder