6 citations · 6 across the 4 of their papers we have counts for
4 papers
Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation
Sara Björk, Stian N. Anfinsen, Michael Kampffmeyer +3
In prediction of forest parameters with data from remote sensing (RS), regression models have traditionally been trained on a small sample of ground reference data. This paper prop…
Simpler is better: spectral regularization and up-sampling techniques for variational autoencoders
Sara Björk, Jonas Nordhaug Myhre, Thomas Haugland Johansen
Full characterization of the spectral behavior of generative models based on neural networks remains an open issue. Recent research has focused heavily on generative adversarial ne…
On the potential of sequential and non-sequential regression models for Sentinel-1-based biomass prediction in Tanzanian miombo forests
Sara Björk, Stian Normann Anfinsen, Erik Næsset +2
This study derives regression models for above-ground biomass (AGB) estimation in miombo woodlands of Tanzania that utilise the high availability and low cost of Sentinel-1 data. T…
Decision Support Systems in Fisheries and Aquaculture: A systematic review
Bjørn Magnus Mathisen, Peter Haro, Bård Hanssen +2
Decision support systems help decision makers make better decisions in the face of complex decision problems (e.g. investment or policy decisions). Fisheries and Aquaculture is a d…