Browsing Publikasjoner fra Cristin by Title
Now showing items 48-67 of 135
-
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, ... -
Fisheries acoustics and Acoustic Target Classification - Report from the COGMAR/CRIMAC workshop on machine learning methods in fisheries acoustics
(Rapport fra havforskningen;, Research report, 2021)This report documents a workshop organised by the COGMAR and CRIMAC projects. The objective of the workshop was twofold. The first objective was to give an overview of ongoing work using machine learning for Acoustic Target ... -
Flexible Bayesian Nonlinear Model Configuration
(Journal article; Peer reviewed, 2021)Regression models are used in a wide range of applications providing a powerful scientific tool for researchers from different fields. Linear, or simple parametric, models are often not sufficient to describe complex ... -
Full deltakelse for alle? Delrapport IKT
(Research report, 2006) -
The GDPR and Unstructured Data: Is Anonymisation Possible?
(Journal article; Peer reviewed, 2022)Much of the legal and technical literature on data anonymization has focused on structured data such as tables. However, unstructured data such as text documents or images are far more common, and the legal requirements ... -
Global blood gene expression profiles following a breast cancer diagnosis—Clinical follow-up in the NOWAC post-genome cohort
(Peer reviewed; Journal article, 2021) -
groupShapley: Efficient prediction explanation with Shapley values for feature groups
(Journal article, 2021) -
Increased transmissibility of the alpha SARS-CoV-2 variant: evidence from contact tracing data in Oslo, January to February 2021
(Journal article; Peer reviewed, 2021) -
Involving Diverse Users for Inclusive Technology Development
(Chapter, 2021) -
iStøtet – IT-støtte for synshemmede eldre
(Report at the Norwegian Computing Center;, Research report, 2020)Synshemmede eldre er en gruppe med stor risiko for å oppleve ensomhet. Bruk av smartteknologi blant denne gruppen er lavere enn blant seende eldre, samtidig som nytten kan være større. Det å beherske smartteknologi kan ... -
iStøtet – IT-støtte for synshemmede eldre 2020: Inkludering i informasjonssamfunnet – motivasjon, opplæring og oppfølging
(Report at the Norwegian Computing Center;, Research report, 2021)Synshemmede eldre er en gruppe med stor risiko for å oppleve ensomhet. Bruk av smartteknologi blant denne gruppen er lavere enn blant seende eldre, samtidig som nytten kan være større. Det å beherske smartteknologi kan ... -
Large-Scale Vegetation Height Mapping from Sentinel Data Using Deep Learning
(Chapter, 2020)The deep learning revolution in computer vision has enabled a potential for creating new value chains for Earth observation that significantly enhances the analysis of satellite data for tasks like land cover mapping, ... -
Learning latent representations of bank customers with the Variational Autoencoder
(Journal article; Peer reviewed, 2020)Learning data representations that reflect the customers’ creditworthiness can improve marketing campaigns, customer relationship management, data and process management or the credit risk assessment in retail banks. In ... -
Lenking og kobling i Historisk befolkningsregister
(Peer reviewed; Journal article, 2020)Historisk befolkningsregister, HBR, er et register over den norske befolkningen fra 1801 frem til Det sentrale folkeregisteret fra 1964. Det lages ved å lenke sammen personforekomster av samme person i folketellinger og ... -
Lusebeitingsadferd hos rognkjeks
(Research report, 2020) -
Machine Learning + Marine Science: Critical Role of Partnerships in Norway
(Others, 2021)In this essay, we review some recent advances in developing machine learning (ML) methods for marine science applications in Norway. We focus mostly on deep learning (DL) methods and review the challenges we have faced in ... -
Mobile Sensing in Substance Use Research: A Scoping Review
(Peer reviewed; Journal article, 2020)