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1

Crude Oil Density Prediction Improved by Multiblock Analysi..:

Gjelsvik, Elise L. ; Fossen, Martin ; Brunsvik, Anders..
Applied Spectroscopy. 77 (2023) 10 - p. 1138-1152 , 2023

Link: https://doi.org/10.1177/..

2

Current overview and way forward for the use of machine lea..:

Gjelsvik, Elise Lunde ; Fossen, Martin ; Tøndel, Kristin
Fuel. 334 (2023) - p. 126696 , 2023

Link: https://doi.org/10.1016/..

3

Increased interpretation of deep learning models using hier..:

Gjelsvik, Elise Lunde ; Tøndel, Kristin ; Asgher, Umer
PLOS ONE. 18 (2023) 12 - p. e0295251 , 2023

Link: https://doi.org/10.1371/..

4

Using machine learning-based variable selection to identify..:

Gjelsvik, Elise Lunde ; Fossen, Martin ; Brunsvik, Anders..
PLOS ONE. 17 (2022) 8 - p. e0273084 , 2022

Link: https://doi.org/10.1371/..

5

New understanding of gas hydrate phenomena and natural inhi..:

Gjelsvik, Elise Lunde
PhD thesis;2023:35. , 2023

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

6

Using machine learning-based variable selection to identify..:

Gjelsvik, Elise Lunde ; Fossen, Martin ; Brunsvik, Anders.
Norges forskningsråd: 294636. , 2022

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

7

Prediksjon av toksisitet i skjell basert på fettsyresammens..:

Gjelsvik, Elise Lunde
http://hdl.handle.net/11250/2566133. , 2018

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

8

PLSR scoreplot of the raw material data set:

Elise Lunde Gjelsvik ; Kristin Tøndel
doi:10.1371/journal.pone.0295251.g005. , 2023

Link: https://doi.org/10.1371/..

9

R 2 -scores for the raw material data set:

Elise Lunde Gjelsvik ; Kristin Tøndel
doi:10.1371/journal.pone.0295251.t002. , 2023

Link: https://doi.org/10.1371/..

10

Increased interpretation of deep learning models using hier..:

Elise Lunde Gjelsvik ; Kristin Tøndel
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0295251&type=printable. , 2023

Link: https://doi.org/10.1371/..

11

Visualisation of the feature importance for HC-CNN:

Elise Lunde Gjelsvik ; Kristin Tøndel
doi:10.1371/journal.pone.0295251.g008. , 2023

Link: https://doi.org/10.1371/..

12

Visualisation of the feature importance for HC-PLSR:

Elise Lunde Gjelsvik ; Kristin Tøndel
doi:10.1371/journal.pone.0295251.g007. , 2023

Link: https://doi.org/10.1371/..

13

Results from parameter optimisation for HC-RNN with various..:

Elise Lunde Gjelsvik ; Kristin Tøndel
doi:10.1371/journal.pone.0295251.g004. , 2023

Link: https://doi.org/10.1371/..

14

Illustration of the hierarchical cluster-based modelling pr..:

Elise Lunde Gjelsvik ; Kristin Tøndel
doi:10.1371/journal.pone.0295251.g001. , 2023

Link: https://doi.org/10.1371/..

15

R 2 -scores for the simulated data set:

Elise Lunde Gjelsvik ; Kristin Tøndel
doi:10.1371/journal.pone.0295251.t001. , 2023

Link: https://doi.org/10.1371/..

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