E-LIB Suche - Ergebnisse für: Knutsen, Kristian

1

Inpatient pharmacists using a readmission risk model in sup..:

Gallagher, David ; Greenland, Maegan ; Lindquist, Desirae...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896047/. , 2022

Link: http://www.ncbi.nlm.nih...

2

Porella obtusata: distribution, ecology and threats at the ..:

Hassel, Kristian ; Johnsen, John Inge ; Jordal, John Bjarne.
http://www.lindbergia.org/article/porella-obtusata-distribution-ecology-and-threats-west-coast-norway-northern-fringe-its. , 2015

Link: http://hdl.handle.net/11..

3

A contrastive learning approach for individual re-identific..:

Olsen, Ørjan Langøy ; Sørdalen, Tonje Knutsen ; Goodwin, Morten...
Norges forskningsråd: 325862. , 2023

Link: https://hdl.handle.net/1..

4

A contrastive learning approach for individual re-identific..:

Olsen, Ørjan Langøy ; Sørdalen, Tonje Knutsen ; Goodwin, Morten...
https://septentrio.uit.no/index.php/nldl/article/view/6824/6997. , 2023

Link: https://septentrio.uit.n..

5

Unlocking the potential of deep learning for marine ecology..:

Goodwin, Morten ; Halvorsen, Kim Aleksander Tallaksen ; Jiao, Lei...
ICES Journal of Marine Science;. , 2022

Link: https://hdl.handle.net/1..

6

Unlocking the potential of deep learning for marine ecology..:

Goodwin, Morten ; Halvorsen, Kim Aleksander Tallaksen ; Jiao, Lei...
http://urn.nb.no/URN:NBN:no-93555. , 2022

Link: http://hdl.handle.net/10..

7

Unlocking the potential of deep learning for marine ecology..:

Goodwin, Morten ; Halvorsen, Kim Aleksander Tallaksen ; Jiao, Lei...
Goodwin, M., Halvorsen, K.A.T., Jiao, L., Knausgård, K. M., Martin, A.H., Moyano, M., Oomen, R.A., Rasmussen, J.H., Sørdalen, T.K. & Thorbjørnsen, S.H., (2021) Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook ICES Journal of Marine Science (79) 2 p. 319–336. , 2022

Link: https://hdl.handle.net/1..

8

Unlocking the potential of deep learning for marine ecology..:

Goodwin, Morten ; Halvorsen, Kim Aleksander Tallaksen ; Jiao, Lei...
Norges forskningsråd: 309784. , 2022

Link: https://hdl.handle.net/1..

9

Temperate fish detection and classification: a deep learnin..:

Knausgård, Kristian Muri ; Wiklund, Arne ; Sørdalen, Tonje Knutsen...
Knausgård, K. M. Wiklund, A. Sørdalen, T. K. Halvorsen, K. A. T. Kleiven, A. R. Lei, J. Goodwin, M. (2021). Temperate fish detection and classification: a deep learning based approach. Applied intelligence (Boston), 52, 6988-7001.. , 2021

Link: https://hdl.handle.net/1..

10

Myocardial infarction as a transient risk factor for incide..:

Sejrup, Joakim Knutsen ; Børvik, Trond ; Grimnes, Gro...
Sejrup, J.K. (2022). Risk Factors and Triggers of Venous Thromboembolism in Patients with Myocardial Infarction. (Doctoral thesis). https://hdl.handle.net/10037/25377 .. , 2019

Link: https://hdl.handle.net/1..

11

The Role of Stroke as a Trigger for Incident Venous Thrombo..:

Morelli, Vania Maris ; Sejrup, Joakim Knutsen ; Småbrekke, Birgit...
TH Open. , 2019

Link: https://hdl.handle.net/1..