Iver Martinsen
Stipendiat
Stillingsbeskrivelse
Stipendiat i maskinlæring og statistikk. Jobber med usikkerhet i dyp læring generelt, og anvendelser av dyp læring innenfor geofag.
Harald Lykke Joakimsen,
Iver Martinsen,
Luigi Tommaso Luppino,
Andrew McDonald,
Scott Hosking,
Robert Jenssen
:
Interrogating Sea Ice Predictability with Gradients
IEEE Geoscience and Remote Sensing Letters 2024 DOI
Iver Martinsen,
Alf Harbitz,
Filippo Maria Bianchi
:
Age prediction by deep learning applied to Greenland halibut (Reinhardtius hippoglossoides) otolith images
Iver Martinsen
:
Contrastive learning applied to microfossils
2023
Iver Martinsen
:
Microfossils and uncertainty
2023
Iver Martinsen,
Benjamin Ricaud,
David Wade,
Fred Godtliebsen
:
Grouping microscopic fossils without labels using self-supervision
2023
Iver Martinsen,
Benjamin Ricaud,
David Wade,
Fred Godtliebsen
:
An efficient pipeline for microfossil analysis
2023
Eirik Myrvoll-Nilsen,
Steffen Aagaard-Sørensen,
Stamatia Galata,
Thomas Haugland Johansen,
Iver Martinsen,
Morten Hald
m.fl.:
Automated classification of microscopic foraminifera
2023
Eirik Myrvoll-Nilsen,
Steffen Aagaard-Sørensen,
Stamatia Galata,
Thomas Haugland Johansen,
Iver Martinsen,
Morten Hald
m.fl.:
Automating object detection and classification of foraminifera
2023
Harald Lykke Joakimsen,
Iver Martinsen,
Luigi Tommaso Luppino,
Robert Jenssen
:
"Explainable" IceNet with backpropagated gradients
2023
David Wade,
Iver Martinsen,
Erik Anthonissen,
Alex Cullum,
Robert Williams,
Fred Godtliebsen
m.fl.:
Species Classification Automation for Microfossil Photomicrograph Images
2022
Iver Martinsen,
David Wade,
Fred Godtliebsen,
Benjamin Ricaud
:
SCAMPI - Species Classification Automation for Microfossil Photomicrograph Images
2022
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