Browsing NR vitenarkiv by Issue Date
Now showing items 81-100 of 291
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skweak: Weak Supervision Made Easy for NLP
(Chapter, 2021)We present skweak, a versatile, Python-based software toolkit enabling NLP developers to apply weak supervision to a wide range of NLP tasks. Weak supervision is an emerging machine learning paradigm based on a simple idea: ... -
A Systematic Mapping Study on Cyber Security Indicator Data
(Journal article; Peer reviewed, 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 ... -
Stochastic Modeling of Subseismic Faults Conditioned on Displacement and Orientation Maps
(Journal article; Peer reviewed, 2021) -
Categories of User Impairment
(Chapter, 2021) -
A combined estimate of global temperature
(NR-notat;, Research report, 2021) -
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, ... -
Transcriptomic signals in blood prior to lung cancer focusing on time to diagnosis and metastasis
(Journal article; Peer reviewed, 2021) -
Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective
(Journal article; Peer reviewed, 2021) -
Involving Diverse Users for Inclusive Technology Development
(Chapter, 2021) -
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 ... -
Toward an AI-based external scenario event controller for crisis response simulations
(Journal article; Peer reviewed, 2021) -
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 ... -
Global blood gene expression profiles following a breast cancer diagnosis—Clinical follow-up in the NOWAC post-genome cohort
(Peer reviewed; Journal article, 2021) -
On the adaptive delegation and sequencing of actions
(Journal article; Peer reviewed, 2021) -
The blood transcriptome prior to ovarian cancer diagnosis: A case-control study in the NOWAC postgenome cohort
(Journal article; Peer reviewed, 2021) -
Semi-supervised target classification in multi-frequency echosounder data
(Journal article; Peer reviewed, 2021)Acoustic target classification in multi-frequency echosounder data is a major interest for the marine ecosystem and fishery management since it can potentially estimate the abundance or biomass of the species. A key problem ... -
Coffee forensics — Reconstructing data in IoT devices running Contiki OS
(Journal article; Peer reviewed, 2021)The ability to examine evidence and reconstruct files from novel IoT operating systems, such as Contiki with its Coffee File System, is becoming vital in digital forensic investigations. Two main challenges for an investigator ...