Blar i Publikasjoner fra Cristin på tittel
Viser treff 68-87 av 143
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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) -
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 ... -
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 ... -
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 ... -
Nordmenn og deling av persondata
(NR-rapport;, Research report, 2019) -
Nordmenn og deling av persondata. Resultater fra en nasjonal undersøkelse i 2020 og to nasjonale undersøkelser i 2019
(Report at the Norwegian Computing Center;, Research report, 2020) -
On the adaptive delegation and sequencing of actions
(Journal article; Peer reviewed, 2021) -
On the number of bins in a rank histogram
(Journal article; Peer reviewed, 2020) -
Optimized Anticipatory Adaptive Security Models for IoT-enabled Smart Grids
(Research report, 2020)The objective of this deliverable is to improve the accuracy of the adaptive mechanisms for different IoTs processing capabilities by applying high-level optimization using machine learning and AI approaches. In adaptive ... -
Out of Control. How consumers are exploited by the online advertising industry
(Research report, 2021) -
Pairwise local Fisher and naive Bayes: Improving two standard discriminants
(Journal article; Peer reviewed, 2020)The Fisher discriminant is probably the best known likelihood discriminant for continuous data. Another benchmark discriminant is the naive Bayes, which is based on marginals only. In this paper we extend both discriminants ... -
Partially linear monotone methods with automatic variable selection and monotonicity direction discovery
(Journal article; Peer reviewed, 2020) -
Penalized angular regression for personalized predictions
(Journal article; Peer reviewed, 2022)Personalization is becoming an important aspect of many predictive applications. We introduce a penalized regression method which inherently implements personalization. Personalized angle (PAN) regression constructs ... -
Phishing, Data-Disclosure and The Cognitive Reflection Test
(Lecture, 2022)Phishing is a form of online identity theft that aims to steal sensitive information such as passwords and credit card information from users. Data is key for the digital economy, but disclosing personal data online increases ... -
Preservation of Trust in Long-Term Records Management Systems
(Research report, 2008)