Blar i Vitenskapelige tidsskriftartikler og konferanseartikler med fagfellevurdering (NVI-kategori) på utgivelsesdato
Viser treff 21-40 av 215
-
Stakeholder Journey Analysis for Innovation: A Multiparty Analysis Framework for Startups
(Peer reviewed; Journal article, 2020)When analysing how the information-technological innovation of a startup company is perceived to affect the market, we encountered challenges when using existing customer journey analysis frameworks. In particular, we ... -
The specification of the data model part in the SAM model matters
(Peer reviewed; Journal article, 2020) -
Self-Constructing Graph Convolutional Networks for Semantic Labeling
(Chapter, 2020)Graph Neural Networks (GNNs) have received increasing attention in many fields. However, due to the lack of prior graphs, their use for semantic labeling has been limited. Here, we propose a novel architecture called the ... -
shapr: An R-package for explaining machine learning models with dependence-aware Shapley values
(Journal article; Peer reviewed, 2020) -
Situated Abilities within Universal Design – A Theoretical Exploration
(Peer reviewed; Journal article, 2020)This paper investigates Universal Design (UD) through the idea of designing for situated abilities, rather than focusing on designing for disabled users. This shift in perspective from disabilities to abilities is explored ... -
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 ... -
The 1st Agriculture-Vision Challenge: Methods and Results
(Chapter, 2020) -
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 ... -
A Novel Algorithmic Approach to Bayesian Logic Regression (with Discussion)
(Peer reviewed; Journal article, 2020) -
Bayesian seismic inversion for stratigraphic horizon, lithology, and fluid prediction
(Peer reviewed; Journal article, 2020)We have developed an efficient methodology for Bayesian prediction of lithology and pore fluid, and layer-bounding horizons, in which we include and use spatial geologic prior knowledge such as vertical ordering of ... -
Partially linear monotone methods with automatic variable selection and monotonicity direction discovery
(Journal article; Peer reviewed, 2020) -
Explaining decisions of deep neural networks used for fish age prediction
(Peer reviewed; Journal article, 2020) -
A Bayesian Binomial Regression Model with Latent Gaussian Processes for Modelling DNA Methylation
(Peer reviewed; Journal article, 2020)Epigenetic observations are represented by the total number of reads from a given pool of cells and the number of methylated reads, making it reasonable to model this data by a binomial distribution. There are numerous ... -
The Truth behind the Zeros: A New Approach to Principal Component Analysis of the Neuropsychiatric Inventory
(Journal article; Peer reviewed, 2020)Psychiatric syndromes in dementia are often derived from the Neuropsychiatric Inventory (NPI) using principal component analysis (PCA). The validity of this statistical approach can be questioned, since the excessive ... -
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 ... -
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 ... -
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 ... -
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 ... -
Acoustic classification in multifrequency echosounder data using deep convolutional neural networks
(Journal article; Peer reviewed, 2020)Acoustic target classification is the process of assigning observed acoustic backscattering intensity to an acoustic category. A deep learning strategy for acoustic target classification using a convolutional network is ... -
Evaluation of CMIP5 and CMIP6 simulations of historical surface air temperature extremes using proper evaluation methods
(Journal article; Peer reviewed, 2020)Reliable projections of extremes by climate models are becoming increasingly important in the context of climate change and associated societal impacts. Extremes are by definition rare events, characterized by a small ...