Blar i Publikasjoner fra Cristin på tittel
Viser treff 33-52 av 143
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Detection of cultural heritage in airborne laser scanning data using Faster R-CNN. Results on Norwegian data
(Chapter, 2021)A new processing chain for automated archaeological mapping from airborne lidar data is proposed. First, the lidar data was converted to a detailed digital terrain model (DTM), which was then converted to a local relief ... -
Detection of forest roads in Sentinel-2 images using U-Net
(Journal article; Peer reviewed, 2022) -
Digitale helsetjenester for alle – hva må til?
(Lecture, 2022) -
Distinct subsets of noncoding RNAs are strongly associated with BMD and fracture, studied in weight-bearing and non-weight-bearing human bone
(Peer reviewed; Journal article, 2020)We investigated mechanisms resulting in low bone mineral density (BMD) and susceptibility to fracture by comparing noncoding RNAs (ncRNAs) in biopsies of non–weight‐bearing (NWB) iliac (n = 84) and weight bearing (WB) ... -
Efficient and simple prediction explanations with groupShapley: A practical perspective
(Peer reviewed; Journal article, 2021) -
Estimating Traffic in Urban Areas from Very-High Resolution Aerial Images
(Journal article; Peer reviewed, 2021)Traffic estimation from very-high-resolution remote-sensing imagery has received increasing interest during the last few years. In this article, we propose an automatic system for estimation of the annual average daily ... -
Estimation of Thickness and Layering of Johansen and Cook Sandstones at the Potential Co2 Storage Site Aurora
(Chapter, 2021)We have estimated the reservoir sand thickness and internal layering in the Aurora area, a planned geological CO2 storage site in the northern North Sea. The results are obtained by stochastic Markov chain Monte Carlo ... -
Evaluation of CMIP5 and CMIP6 simulations of historical surface air temperature extremes using proper evaluation methods
(Journal article; Peer reviewed, 2020)Reliable projections of extremes by climate models are becoming increasingly important in the context of climate change and associated societal impacts. Extremes are by definition rare events, characterized by a small ... -
Evolutionary Game for Confidentiality in IoT-Enabled Smart Grids
(Peer reviewed; Journal article, 2020) -
Explaining decisions of deep neural networks used for fish age prediction
(Peer reviewed; Journal article, 2020) -
Explaining Predictive Models with Mixed Features Using Shapley Values and Conditional Inference Trees
(Chapter, 2002)It is becoming increasingly important to explain complex, black-box machine learning models. Although there is an expanding literature on this topic, Shapley values stand out as a sound method to explain predictions from ... -
EziSmart - verktøy for mestring og sosial samhandling mellomsynshemmede eldre, pårørende og andre.
(Report at the Norwegian Computing Center;, Research report, 2018) -
EziSmart videreføring: Sosial kontakt for synshemmede eldre gjennom mestring av smarttelefon. Prosjektrapport
(Report at the Norwegian Computing Center;, Research report, 2019)Denne rapporten beskriver erfaringer fra EziSmart-prosjektet. Målet var å vurdere om EziSmart-løsningen kunne lette opplæring og bruk av smarttelefon for synshemmede eldre, og dermed stimulere til mer sosial kontakt og ... -
Final report for the REDUS project - Reduced Uncertainty in Stock Assessment
(Rapport fra havforskningen;, Research report, 2021)The REDUS project (2016-2020) has been a strategic project at the Institute of Marine Research (IMR) aimed at quantifying and reducing the uncertainty in data-rich and age-structured stock assessments (e.g., cod, herring, ...