Browsing Publikasjoner fra Cristin by Title
Now showing items 169-188 of 337
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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 ... -
A mammography classification model trained from image labels only
(Journal article; Peer reviewed, 2022) -
MCCE: Monte Carlo sampling of valid and realistic counterfactual explanations for tabular data
(Journal article; Peer reviewed, 2024)We introduce MCCE: Monte Carlo sampling of valid and realistic Counterfactual Explanations for tabular data, a novel counterfactual explanation method that generates on-manifold, actionable and valid counterfactuals by ... -
Method development for mapping kelp using drones and satellite images: Results from the KELPMAP-Vega project
(NIVA-rapport;, Research report, 2024)The KELPMAP study demonstrated that high-resolution multispectral data from drones and satellites, combined with AI-based image analysis, can efficiently map kelp forests and other coastal habitats. The field campaign, ... -
Mixed processes in dynamic linear systems
(NR-notat;, Research report, 1995) -
Mixing up contrastive learning: Self-supervised representation learning for time series
(Journal article; Peer reviewed, 2022) -
Mixing up contrastive learning: Self-supervised representation learning for time series
(Journal article; Peer reviewed, 2022) -
Mobile Sensing in Substance Use Research: A Scoping Review
(Peer reviewed; Journal article, 2020) -
Modeling dyslexic students' motivation for enhanced learning in E-learning systems
(Journal article; Peer reviewed, 2020)E-Learning systems can support real-time monitoring of learners’ learning desires and effects, thus offering opportunities for enhanced personalized learning. Recognition of the determinants of dyslexic users’ motivation ... -
Modeling geographic vaccination strategies for COVID-19 in Norway
(Journal article; Peer reviewed, 2024-01-31)Vaccination was a key intervention in controlling the COVID-19 pandemic globally. In early 2021, Norway faced significant regional variations in COVID-19 incidence and prevalence, with large differences in population ... -
Motvirkning av ensomhet gjennom inkludering i informasjonssamfunnet: iStøtet sluttrapport
(Report at the Norwegian Computing Center;, Research report, 2023)Eldre personer med nedsatt syn opplever mer ensomhet enn andre og er mindre digitale. Det å være en del av informasjonssamfunnet gjennom å ha tilgang til og å kunne bruke digitale verktøy har betydning for den enkeltes ... -
Motvirkning av ensomhet gjennom inkludering i informasjonssamfunnet: iStøtet sluttrapport
(NR-rapport;1061, Research report, 2023)Eldre personer med nedsatt syn opplever mer ensomhet enn andre og er mindre digitale. Det å være en del av informasjonssamfunnet gjennom å ha tilgang til og å kunne bruke digitale verktøy har betydning for den enkeltes ... -
Movement acts in breakdown situations: How a robot's recovery procedure affects participants' opinions
(Journal article; Peer reviewed, 2021)Recovery procedures are targeted at correcting issues encountered by robots. What are people’s opinions of a robot during these recovery procedures? During an experiment that examined how a mobile robot moved, the robot ... -
The Multi-Color Contrast Checker (M3C)
(Chapter, 2023)Accessible and readable contrast of text and graphical elements is a key requirement of the universal design of digital interfaces for people with and without disabilities. Many manual and automatic tools have been developed ... -
Multi-sensor and time-series approaches for monitoring of snow parameters
(Chapter, 2004)Frequent mapping of snow parameters, like snow cover area (SCA) and snow surface wetness (SSW), is important for applications in hydrology, meteorology and climatology. In this study, we have developed a few general ... -
Multi-View Self-Constructing Graph Convolutional Networks With Adaptive Class Weighting Loss for Semantic Segmentation
(Chapter, 2020)We propose a novel architecture called the Multi-view Self-Constructing Graph Convolutional Networks (MSCG-Net) for semantic segmentation. Building on the recently proposed Self-Constructing Graph (SCG) module, which makes ... -
Named Entity Recognition without Labelled Data: A Weak Supervision Approach
(Chapter, 2020)Named Entity Recognition (NER) performance often degrades rapidly when applied to target domains that differ from the texts observed during training. When in-domain labelled data is available, transfer learning techniques ... -
A new framework for semi-Markovian parametric multi-state models with interval censoring
(Journal article; Peer reviewed, 2023)There are few computational and methodological tools available for the analysis of general multi-state models with interval censoring. Here, we propose a general framework for parametric inference with interval censored ...