Lotta KUULIALA

lotta.kuuliala@ugent.be
Coupure Links 653
9000 Gent
Belgium
(+32) 9 264.92.03

Affiliation: Department of Food technology, Safety and Health

Biblio logoBiblio UGent

Research Interests: Data-driven methods in food science


Journal papers

All
2021 (1)
2020 (1)
2019 (1)
2018 (2)
Biblio logo(5) Probabilistic topic modelling in food spoilage analysis: a case study with Atlantic salmon (Salmo salar)
L. Kuuliala, R. Pérez-Fernández, M. Tang, M. Vanderroost, B. De Baets and F. Devlieghere
(2021) INTERNAT. J. FOOD MICROBIOLOGY. 337, 108955.
Biblio logo(4) The constrained median: a way to incorporate side information in the assessment of food samples
M. Sader, R. Pérez-Fernández, L. Kuuliala, F. Devlieghere and B. De Baets
(2020) MATHEMATICS. 8, 406.
Biblio logo(3) Spoilage evaluation of raw Atlantic salmon (Salmo salar) stored under modified atmospheres by multivariate statistics and augmented ordinal regression
L. Kuuliala, M. Sader, A. Solimeo, R. Pérez-Fernández, M. Vanderroost, B. De Baets, B. De Meulenaer, P. Ragaert and F. Devlieghere
(2019) INTERNAT. J. OF FOOD MICROBIOLOGY. 303, 46-57.
Biblio logo(2) A combined scoring and ranking approach for determining overall food quality
M. Sader, R. Pérez-Fernández, L. Kuuliala, F. Devlieghere and B. De Baets
(2018) INTERNAT. J. OF APPROXIMATE REASONING. 100, 161-176.
Biblio logo(1) Microbiological, chemical and sensory spoilage analyses of raw Atlantic cod (Gadus morhua) stored under modified atmospheres
L. Kuuliala, Y. Al Hage, A.-G. Ioannidis, M. Sader, F.-M. Kerckhof, M. Vanderroost, N. Boon, B. De Baets, B. De Meulenaer, P. Ragaert and F. Devlieghere
(2018) FOOD MICROBIOLOGY. 70, 232-244.