| Decision support systems in fisheries and aquaculture: A systematic review BM Mathisen, P Haro, B Hanssen, S Björk, S Walderhaug arXiv preprint arXiv:1611.08374, 2016 | 17 | 2016 |
| On the potential of sequential and nonsequential regression models for Sentinel-1-based biomass prediction in Tanzanian Miombo forests S Björk, SN Anfinsen, E Næsset, T Gobakken, E Zahabu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 7 | 2022 |
| Simpler is better: Spectral regularization and up-sampling techniques for variational autoencoders S Björk, JN Myhre, TH Johansen ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 5 | 2022 |
| Generation of lidar-predicted forest biomass maps from radar backscatter with conditional generative adversarial networks S Björk, SN Anfinsen, E Næsset, T Gobakken, E Zahabu IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 5 | 2020 |
| Deep convolutional regression modelling for forest parameter retrieval SM Björk UiT Norges arktiske universitet, 2023 | | 2023 |
| Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation S Björk, SN Anfinsen, M Kampffmeyer, E Næsset, T Gobakken, ... arXiv preprint arXiv:2306.11103, 2023 | | 2023 |
| Constructing Forest Biomass Prediction Maps from Radar Backscatter by Sequential Regression with a Conditional Generative Adversarial Network. S Björk, SN Anfinsen, E Næsset, T Gobakken, E Zahabu CoRR, 2021 | | 2021 |
| An initial assessment of the possibilities of fish catch prediction using Gaussian processes SM Björk UiT Norges arktiske universitet, 2016 | | 2016 |
