| Do machine learning platforms provide out-of-the-box reproducibility? OE Gundersen, S Shamsaliei, RJ Isdahl Future Generation Computer Systems 126, 34-47, 2022 | 44 | 2022 |
| Towards an automatic characterization of riverscape development by deep learning K Alfredsen, A Dalsgård, S Shamsaliei, JH Halleraker, OE Gundersen River Research and Applications 38 (4), 810-816, 2022 | 5 | 2022 |
| On reporting robust and trustworthy conclusions from model comparison studies involving neural networks and randomness OE Gundersen, S Shamsaliei, HS Kjærnli, H Langseth Proceedings of the 2023 ACM Conference on Reproducibility and Replicability …, 2023 | 2 | 2023 |
| Towards Historical Analysis of Riverscape Development Utilizing Semantic Segmentation S Shamsaliei, OE Gundersen, K Alfredsen, JH Halleraker | | 2022 |
| Improving the semantic segmentation of historical aerial images of riverscapes using both data-centric and model-centric approaches. S Shamsaliei NTNU, 2022 | | 2022 |
| HAIR: A Dataset of Historic Aerial Images of Riverscapes for Semantic Segmentation S Shamsaliei, OE Gundersen, JH Halleraker, K Alfredsen, A Foldvik | | |
| Factors contributing to the learning effectiveness of online discussion boards T Iveland, D Kirstihagen, T Torgersen, S Shamsaliei | | |
Odd Erik GundersenAssociate Professor, NTNUVerified email at ntnu.no
