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Sander Riisøen Jyhne

Sander Riisøen Jyhne

Ph.d. Student

Department of Information and Communication Technology >

 

+47 932 70 705

Office hours:
08:00-16:00

Currently pursuing a Ph.d. in Artificial Intelligence as a public ph.d. student with Kartverket. The goal of the project is to create 3-dimensional building objects using raw aerial images.

Scientific publications

  • Jyhne, Sander; Andersen, Per-Arne; Goodwin, Morten; Oveland, Ivar (2023). A Contrastive Learning Scheme with Transformer Innate Patches. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 14381s 103 - 114. doi:10.1007/978-3-031-47994-6_8.
  • Jyhne, Sander; Jacobsen, Jørgen Åsbu; Goodwin, Morten; Andersen, Per-Arne (2023). DeNISE: Deep Networks for Improved Segmentation Edges. IFIP Advances in Information and Communication Technology. ISSN: 1868-4238. 675s 81 - 89. doi:10.1007/978-3-031-34111-3_8.
  • Saha, Rupsa; Jyhne, Sander (2022). Interpretable Text Classification in Legal Contract Documents using Tsetlin Machines. 2022 International Symposium on the Tsetlin Machine (ISTM 2022). ISBN: 978-1-6654-7116-9. IEEE conference proceedings. Chapter. s 7 - 12.
  • Jyhne, Sander; Goodwin, Morten; Andersen, Per-Arne; Oveland, Ivar; Nossum, Alexander Salveson; Ormseth, Karianne Øydegard; Ørstavik, Mathilde; Flatman, Andrew C. (2022). MapAI: Precision in BuildingSegmentation. Nordic Machine Intelligence (NMI). ISSN: 2703-9196. 2s 1 - 3. doi:10.5617/nmi.9849.
  • Jyhne, Sander (2024). Fra flyfoto til FKB-Bygning med kunstig intelligens..
  • Jyhne, Sander (2024). Muligheter og bruk av KI på kartdata..
  • Jyhne, Sander (2024). TRAPL: Transformer-based Patch Learning For Enhancing Semantic Representations Using Aggregated Features to Estimate Patch-Class Distribution.

Last changed: 29.01.2023 22:01