Blar i Publikasjoner fra Cristin på tittel
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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) -
Privacy-preserving greater-than integer comparison without binary decomposition
(Chapter, 2020)Common for the overwhelming majority of privacy-preserving greater-than integer comparison schemes is that cryptographic computations are conducted in a bitwise manner. To ensure secrecy, each bit must be encoded in such ... -
Quantifying means-end reasoning in simulation-based training: a logical approach
(Journal article; Peer reviewed, 2022) -
Real-time prediction of propulsion motor overheating using machine learning
(Journal article; Peer reviewed, 2021) -
Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective
(Journal article; Peer reviewed, 2021) -
Rejoinder for the discussion of the paper "A Novel Algorithmic Approach to Bayesian Logic Regression"
(Peer reviewed; Journal article, 2020) -
Rejoinder for the discussion of the paper "A Novel Algorithmic Approach to Bayesian Logic Regression"
(Peer reviewed; Journal article, 2020)Logic regression was developed more than a decade ago as a tool to construct predictors from Boolean combinations of binary covariates. It has been mainly used to model epistatic effects in genetic association studies, ... -
Report of the NAMMCO-ICES Workshop on Seal Modelling (WKSEALS 2020)
(Journal article; Peer reviewed, 2021)