Papers:

1) Martinsen, I., Wade, D., Ricaud, B. and Godtliebsen, F. (2024) The 3-billion fossil question: How to automate classification of microfossils, Artificial Intelligence in Geosciences

2) Jenssen, M; Salvi, E.; Fors, E.; Nilsen O.; Ngo, P.; Tejedor, M.; Bellika, G.; Godtliebsen, F. (2024) :  Exploring Pain Reduction through Physical Activity: A Case Study of Seven Fibromyalgia Patients.   Bioengineering 11 (8), 765. https://doi.org/10.3390/bioengineering11080765

3) Godtliebsen, F., Myrvoll-Nilsen, E. & Holmström, L. (2024) : Comments on: Data integration via analysis of subspaces (DIVAS). TEST(2024). https://doi.org/10.1007/s11749-024-00937-7

Talks:

1) Sørensen, S. Aa., (2022) Work package 3: Multimodal imaging and application, Kick-off meeting “Transforming ocean survey by the power of DL and statistical methods”, 15.-16. Sep, LINKEN Møtesenter, Tromsø

2) Sørensen, S. Aa., (2022) Presenting the project “Transforming ocean surveying by the power of DL and statistical methods, Multimodal imaging and application”, 24. Mar, Institute of Geosciences, UiT

3) Myrvoll-Nilsen, E., Sørensen, S. Aa., Galata, S., Johansen, T. H., Martinsen, I., Hald, M., Godtliebsen, F. (2023) Automating object detection and classification of foraminifera. 7.-8. Jun, NOBIM 2023, Thon Hotel Polar, Tromsø

4) (NOT in CRISTIN) Myrvoll-Nilsen, E. (2023) “Efficient use of heterogeneous data by the power of Logic, DL and Statistics”, 21.-23. Nov, Meeting with Integreat, University of Oslo, Oslo.

5) (NOT in CRISTIN) Myrvoll-Nilsen, E. (2023) “Efficient use of heterogeneous data by the power of Logic, DL and Statistics”, 21.-23. Nov, Integreat Kick-Off meeting, Tøyen hovedgård, Oslo.

6) Sørensen, S. Aa., Myrvoll-Nilsen, E., Galata, S., Johansen, T. H., Martinsen I., Hald, M. and Godtliebsen, F. (2023) Automated image/video classification and object detection of foraminifera, 26.-30. Jun, FORAMS 2023, International Symposium on Foraminifera, Perugia, Italy

7) Martinsen, I., Ricaud, B., Wade, D., and Godtliebsen (2023) Grouping microscopic fossils without labels using self-supervision, -28. Sep, Visual Intelligence Days 2023, Hotel Olavsgaard Conference Hotel, Skjetten

8) Martinsen, I. (2023) Microfossils and uncertainty, Workshop in uncertainty, 30. May, Digital workshop by SFI Visual Intelligence

9) Martinsen, I. (2023) Contrastive learning applied to microfossils, 1. Jun, Digital workshop in self-supervised learning by SFI Visual Intelligence

10) Godtliebsen, F. (2023) Trans-dimensional Bayesian Deep Learning, 2.-3. Feb., Kickoff in Integreat, Soria Moria, Oslo, Norway

11) Godtliebsen, F. (2023) Sparse networks in deep learning, 25.-26. Sep. RT1-meeting in Integreat, University of Oslo, Norway

12) Godtliebsen, F. (2023) Sparse networks in deep learning, 28.-30. Aug. Workshop in sparse networks, UiT-The Arctic university of Norway

13) (NOT IN CRISTIN) Myrvoll-Nilsen, E. (2024) Data Integration with DIVAS at UNC, 21. Jun, Meeting in IKT+ project, digital

Posters:

1) Martinsen, I., Wade, D., Ricaud, B. and Godtliebsen, F. (2022) SCAMPI - Species Classification Automation for Microfossil Photomicrograph Images, 28.-29. Sep. Visual Intelligence Days 2022, Lillestrøm, Norway

2) Myrvoll-Nilsen, E, Sørensen, S. Aa., Galata, S., Johansen, T. H., Martinsen, I., Hald, M., Godtliebsen, F. (2023), Automated classification of microscopic foraminifera. 27.-28. Sep, Visual Intelligence Days 2023, Hotel Olavsgaard Conference Hotel, Skjetten

3) Martinsen, I., Ricaud, B., Wade, D. and Godtliebsen (2023) An efficient pipeline for microfossil analysis, -28. Sep, Visual Intelligence Days 2023, Hotel Olavsgaard Conference Hotel, Skjetten

4) Wade, D., Godtliebsen, F., Ricaud, B., and Martinsen, I. (2024) A deep learning pipeline for automatic microfossil analysis and classification, -19. Apr, EGU 2024, General Assembly 2024 of the European Geosciences Union, Vienna, Austria

5) Martinsen, I., Wade, D., Ricaud, B. and Godtliebsen, F. (2024) An efficient deep learning pipeline for microfossil analysis and classification, 9.-11. January, NLDL 2024, Northern Lights Deep Learning Conference, Tromsø, Norway

6) Sørensen, S. Aa., Myrvoll-Nilsen, E., Martinsen I., Godtliebsen, F., Galata, S., Junttila, J. and Vassdal, T. (2024) Detection and identification of environmental faunal proxies in digital images and video footage from northern Norwegian fjords and coastal waters using deep learning object detection algorithms, 14.-19. Apr, EGU 2024, General Assembly 2024 of the European Geosciences Union, Vienna, Austria

7) Martinsen, I., Wade, D., Ricaud, B. and Godtliebsen, F. (2024) An efficient deep learning pipeline for microfossil analysis and classification, 24.-19. April, EGU 2024, General Assembly 2024 of the European Geosciences Union, Vienna, Austria

News:

1) Godtliebsen, F., Sørensen, S. Aa., and Hald, M. (2022) Automatisk overvåkning av havbunnen, 25. Apr. UiT Web Nyheter https://uit.no/nyheter/artikkel/kortnytt?p_document_id=771300

2) Bjørklund, Petter (2024) Slik kan kunstig intelligens finne mikroskopiske fossiler, 10. Sep. Forskning.no

https://www.forskning.no/fossiler-geofag-geoteknikk/slik-kan-kunstig-intelligens-finne-mikroskopiske-fossiler/2402236

3) Holte, M.A. (2024) Nordnorsk vitensenter: Klar med KI-utstilling, 18. Sep. Nordlys avis

Session convening:

1) Geslin, E., Sørensen, S. Aa. and Barras, C. (2023) S6: Automated image recognition in microscopic analysis for foraminifera studies, 29.Jun, FORAMS 2023, International Symposium on Foraminifera, Perugia, Italy