Browsing Publikasjoner fra Cristin by Title
Now showing items 64-83 of 310
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Dark Pattern: A Serious Game for Learning About the Dangers of Sharing Data
(Journal article; Peer reviewed, 2022)Dark patterns refer to tricks built into websites and apps to manipulate users into acting unintentionally and detrimentally. An important issue is how such patterns might affect behaviour when actors are manoeuvred towards ... -
Data assimilation and statistical post-processing for numerical air quality predictions
(NR-notat;, Research report, 2014)This is a joint report based on work by NILU and NR on the use of data assimilation and statistical post-processing tools to improve the air quality prediction in the context of the Bedre Byluft programme. The objective ... -
Deep generative models for reject inference in credit scoring
(Journal article; Peer reviewed, 2020)Credit scoring models based on accepted applications may be biased and their consequences can have a statistical and economic impact. Reject inference is the process of attempting to infer the creditworthiness status of ... -
Deep Semi-Supervised Semantic Segmentation in Multi-Frequency Echosounder Data
(Journal article; Peer reviewed, 2023)Multi-frequency echosounder data can provide a broad understanding of the underwater environment in a non-invasive manner. The analysis of echosounder data is, hence, a topic of great importance for the marine ecosystem. ... -
DeepOtolith v1.0: An Open-Source AI Platform for Automating Fish Age Reading from Otolith or Scale Images
(Journal article; Peer reviewed, 2022) -
Dense dilated convolutions merging network for land cover classification
(Journal article; Peer reviewed, 2020)Land cover classification of remote sensing images is a challenging task due to limited amounts of annotated data, highly imbalanced classes, frequent incorrect pixel-level annotations, and an inherent complexity in the ... -
Design of the capable health empowerment tool: Citizens' needs and expectations
(Peer reviewed; Journal article, 2020)It is important but difficult for citizens to gain a proper overview of their health-related information. The CAPABLE project aims to create a digital tool that enable citizens to actively utilize their clinical and personal ... -
Detecting significant retrospective patterns in state space fish stock assessment
(Journal article; Peer reviewed, 2023)Retrospective patterns are commonly investigated to validate fish stock assessment models. A widely applied measure for retrospective bias is Mohn’s ρ and corresponding retrospective plots. However, retrospective patterns ... -
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) -
The development of accessibility feedback mechanisms: Related research (TiTi Project, Deliverable L2.1.1)
(NR-notat;, Research report, 2022) -
The Development of Microhistorical Databases in Norway A Historiography
(Peer reviewed; Journal article, 2023)Norwegian work on microdata started out with the full count 1801 census and census and vital records from around the capital. Today, most census and ministerial records from 1801 until the mid-20th century have been scanned, ... -
Dialogue Management as Graph Transformations,
(Chapter, 2022) -
Digitale helsetjenester for alle – hva må til?
(Lecture, 2022) -
Discriminative multimodal learning via conditional priors in generative models
(Journal article; Peer reviewed, 2023)Deep generative models with latent variables have been used lately to learn joint representations and generative processes from multi-modal data, which depict an object from different viewpoints. These two learning mechanisms ... -
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) ... -
Drone and ground-truth data collection, image annotation and machine learning: A protocol for coastal habitat mapping and classification
(Peer reviewed; Journal article, 2024)Aerial drone imaging is an efficient tool for mapping and monitoring of coastal habitats at high spatial and temporal resolution. Specifically, drone imaging allows for time- and cost-efficient mapping covering larger areas ...