Semi-supervised covariate shift modelling of spectroscopic data

Jacob Søgaard Larsen; Line Clemmensen; Anders Stockmarr; Thomas Skov; Anders Larsen; Bjarne Kjær Ersbøll

doi:10.1002/cem.3204

Semi-supervised covariate shift modelling of spectroscopic data

Jacob Søgaard Larsen, Line Clemmensen, Anders Stockmarr, Thomas Skov, Anders Larsen, Bjarne Kjær Ersbøll

Food Analytics and Biotechnology

Publikation: Bidrag til tidsskrift › Leder › Forskning › peer review

8 Citationer (Scopus)

Originalsprog	Engelsk
Artikelnummer	e3204
Tidsskrift	Journal of Chemometrics
Vol/bind	34
Udgave nummer	3
Antal sider	22
ISSN	0886-9383
DOI	https://doi.org/10.1002/cem.3204
Status	Udgivet - 2020

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Citationsformater

@article{81e4c003632a4ca3b122561c822bd4d0,

title = "Semi-supervised covariate shift modelling of spectroscopic data",

keywords = "covariate shift, multivariate calibration, semi-supervised learning, spectroscopic data, transfer learning",

author = "Larsen, {Jacob S{\o}gaard} and Line Clemmensen and Anders Stockmarr and Thomas Skov and Anders Larsen and Ersb{\o}ll, {Bjarne Kj{\ae}r}",

year = "2020",

doi = "10.1002/cem.3204",

language = "English",

volume = "34",

journal = "Journal of Chemometrics",

issn = "0886-9383",

publisher = "Wiley",

number = "3",

}

TY - JOUR

T1 - Semi-supervised covariate shift modelling of spectroscopic data

AU - Larsen, Jacob Søgaard

AU - Clemmensen, Line

AU - Stockmarr, Anders

AU - Skov, Thomas

AU - Larsen, Anders

AU - Ersbøll, Bjarne Kjær

PY - 2020

Y1 - 2020

KW - covariate shift

KW - multivariate calibration

KW - semi-supervised learning

KW - spectroscopic data

KW - transfer learning

U2 - 10.1002/cem.3204

DO - 10.1002/cem.3204

M3 - Editorial

SN - 0886-9383

VL - 34

JO - Journal of Chemometrics

JF - Journal of Chemometrics

IS - 3

M1 - e3204

ER -