Browsing Publikasjoner fra Cristin by Title
Now showing items 82-101 of 143
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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) -
Reproducible Data Management and Analysis using R
(Chapter, 2020)Standardizing and documenting computational analyses is necessary to ensure reproducible results. We describe an R-based implementation of data management and preprocessing that is well integrated with the analysis tools ... -
Risikomodell for vannskader på bygninger og sensitivitet i klimaframskrivninger
(;SAMBA/, Research report, 2020) -
Risk-driven security metrics for an Android smartphone application
(Journal article; Peer reviewed, 2020)Security management in Android smartphone platforms is a challenge. This challenge can be overcome at least partially by developing systematically risk-driven security objectives and controls for the target system, and ... -
Robot-Enhanced Language Learning for Children in Norwegian Day-Care Centers
(Journal article; Peer reviewed, 2021) -
Scalable change and anomaly detection in cross-correlated data
(Doctoral thesis, 2021) -
Security in Android smartphone, Confidentiality in IoT-enabled Smart Grids, and Fault-tolerant privacy-preserving in AMS
(NR-notat;, Research report, 2020)The report summarizes the three journal papers which address security in android smartphone, confidentiality in IoT-enabled smart grids, and fault-tolerant privacy-preserving in AMS, respectively.