Uncertainty and Representation Learning in Image Recognition: Advancing Deep Learning for Microfossil Analysis
Permanent lenke
https://hdl.handle.net/10037/37901Dato
2025-08-20Type
Doctoral thesisDoktorgradsavhandling
Forfatter
Martinsen, IverSammendrag
Har del(er)
Paper I: Joakimsen, H.L., Martinsen, I., Luppino, L.T., McDonald, A., Hosking, S. & Jenssen, R. (2024). Interrogating Sea Ice Predictability with Gradients. IEEE Geoscience and Remote Sensing Letters, 21, 2000805. Published version not available in Munin due to publisher’s restrictions. Published version available at https://doi.org/10.1109/LGRS.2024.3366308. Accepted manuscript version available in Munin at https://hdl.handle.net/10037/36776.
Paper II: Martinsen, I., Wade, D., Ricaud, B. & Godtliebsen, F. (2024). The 3-billion fossil question: How to automate classification of microfossils. Artificial Intelligence in Geosciences, 5, 100080. Also available in Munin at https://hdl.handle.net/10037/34829.
Paper III: Martinsen, I., Sørensen, S.A., Ortega, S., Godtliebsen, F., Tejedor, M. & Myrvoll-Nilsen, E. Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts. (Submitted manuscript). Now published in Artificial Intelligence in Geosciences, 6(2), 2025, 100145, available in Munin at https://hdl.handle.net/10037/37900.
Paper IV: Martinsen, I., Ricaud, B., Wade, D., Kolbjørnsen, O. & Godtliebsen, F. The Fossil Frontier: An answer to the 3-billion fossil question. (Submitted manuscript).
Tilknyttede forskningsdata
Data for Paper II: Martinsen, I., Ricaud, B., Godtliebsen, F. & Wade, D. (2024). Replication Data for: The 3-billion fossil question: How to automate classification of microfossils. DataverseNO, V1, https://doi.org/10.18710/KWP9WA.Forlag
UiT Norges arktiske universitetUiT The Arctic University of Norway
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