Blar i Publikasjoner fra Cristin på tittel
Viser treff 42-61 av 143
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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, ... -
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) -
Inkluderende arbeidsliv: synshemmedes arbeidsdeltakelse og IKT
(Lecture, 2022)Presentasjon av resultater fra toårig prosjekt med tilskudd fra BUFDIR: Tiltak for å bedre levekårene og livskvaliteten til personer med funksjonsnedsettelser 2020