Forskningsgrupper
Forskningsprosjekter
Aktive forskningsprosjekter
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Styrke solidaritet for demokratisk enhet på tvers av grenser (SOLIDEM)
Prosjektet fokuserer på svekkende tillit og solidaritet i europeiske velferdsstater, inkludert Norge.
Avsluttede forskningsprosjekter
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Kunstig intelligens - et nytt verktøy innen assistert reproduksjonsteknologi
Prosjektet har som mål å forbedre metodene for å velge ut sædceller og embryo, og dermed øke sjansen for graviditet og levendefødte barn.
Publikasjoner og forskningsresultater
Vitenskapelige publikasjoner
Sarkhoosh, Mehdi Houshmand; Gautam, Sushant; Midoglu, Cise; Nguyen, Thu; Held, Jan; Cioppa, Anthony; Giancola, Silvio; Thambawita, Vajira;
Riegler, Michael
;
Halvorsen, Pål
(2025).
Beyond Audio: Enhancing SoccerNet-Echoes with Multimodal Event Extraction Using LLMs.
International Journal of Semantic Computing (IJSC).
https://doi.org/10.1142/s1793351x25450035
Hammer, Hugo Lewi
; Thambawita, Vajira;
Riegler, Michael
(2025).
Reply: Foundation models in IVF: from speculation to implementation with FEMI.
Human Reproduction.
Vol. 41.
https://doi.org/10.1093/humrep/deaf227
Riegler, Michael
;
Hellton, Kristoffer Herland
; Thambawita, Vajira L B;
Hammer, Hugo Lewi
(2025).
Using large language models to suggest informative prior distributions in Bayesian regression analysis.
Scientific Reports.
Vol. 15.
https://doi.org/10.1038/s41598-025-18425-9
Presacan, Oriana; Mesa, María Hernández; Aldea, Alexandru C.; Andresen, Siri; Outa, Amani al; Johannessen, Julie Aarmo; Ionescu, Bogdan; Knævelsrud, Helene;
Riegler, Michael
(2025).
Explainable AI to unveil cellular autophagy dynamics.
PLOS ONE.
Vol. 20.
https://doi.org/10.1371/journal.pone.0331045
Vikan, Magnhild
;
Aryan, Ramtin
;
Kannelønning, Mari Serine
;
Riegler, Michael
;
Danielsen, Stein Ove
(2025).
Reflecting on LLM Support in Reflexive Thematic Analysis: An Exploratory Study.
Qualitative Health Research.
https://doi.org/10.1177/10497323251365211
Sharma, Akriti; Dorobantiu, Alexandru; Ali, Saquib; Iliceto, Mario; Stensen, Mette Haug;
Delbarre, Erwan
;
Riegler, Michael
;
Hammer, Hugo Lewi
(2025).
Deep learning methods to forecasting human embryo development in time-lapse videos.
PLOS ONE.
Vol. 20.
https://doi.org/10.1371/journal.pone.0330924
Hammer, Hugo Lewi
; Thambawita, Vajira;
Riegler, Michael
(2025).
Foundation models: the next level of AI in ART.
Human Reproduction.
Vol. 40.
https://doi.org/10.1093/humrep/deaf136
Duric, Adrian; Tørresen, Jim;
Riegler, Michael
;
Hammer, Hugo Lewi
(2025).
Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence.
IEEE International Symposium on Computer-Based Medical Systems.
https://doi.org/10.1109/CBMS65348.2025.00125
Chen, Shuwen; Fan, Shicheng; Qiao, Zheng; Wu, Zixiong; Lin, BaoBao; Li, Zhijie;
Riegler, Michael Alexander
; Wong, Matthew Yu Heng; Opheim, Arve Isak;
Korostynska, Olga
;
Nielsen, Kaare Magne
; Glott, Thomas;
Martinsen, Anne Catrine Trægde
;
Telle-Hansen, Vibeke
; Lim, Chwee Tech
(2025).
Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence.
Advanced Materials.
https://doi.org/10.1002/adma.202500412
Drejer, Catharina Sofie Rodenburg;
Riegler, Michael
;
Baugerud, Gunn Astrid
(2025).
Live-streamed child sexual abuse: Analysis of Norwegian criminal cases.
International Journal of Child Abuse & Neglect.
Vol. 168.
https://doi.org/https://www.sciencedirect.com/scie