Vitenskapelige tidsskriftartikler og konferanseartikler med fagfellevurdering (NVI-kategori): Nye registreringer
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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: ... -
Stochastic Modeling of Subseismic Faults Conditioned on Displacement and Orientation Maps
(Journal article; Peer reviewed, 2021) -
Categories of User Impairment
(Chapter, 2021) -
Involving Diverse Users for Inclusive Technology Development
(Chapter, 2021) -
Toward an AI-based external scenario event controller for crisis response simulations
(Journal article; Peer reviewed, 2021) -
On the adaptive delegation and sequencing of actions
(Journal article; Peer reviewed, 2021) -
Social Contact for Older People with Visual Impairment Through Mastery of Smartphones: Barriers and Suggested Solutions
(Chapter, 2021)Older people with visual impairment are more prone to feeling lonely than their seeing peers. Research suggests that learning to use smartphones can improve psychological well-being in older adults. We seek to further ... -
The use of social robots for supporting language training of children
(Journal article; Peer reviewed, 2018)A number of studies have found that robots can contribute to engagement and motivation in educational settings. We wanted to explore the possibilities and challenges of using a social robot as an assistive tool for learning ... -
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) -
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 ... -
Spatial scaling of population synchrony in marine fish depends on their life history
(Journal article; Peer reviewed, 2019)The synchrony of population dynamics in space has important implications for ecological processes, for example affecting the spread of diseases, spatial distributions and risk of extinction. Here, we studied the relationship ... -
A Systematic Mapping Study on Cyber Security Indicator Data
(Journal article; Peer reviewed, 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 ... -
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series
(Journal article; Peer reviewed, 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 ... -
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 ... -
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 ... -
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 ...