Browsing Publikasjoner fra Cristin by Title
Now showing items 26-45 of 297
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A Benchmarking Dataset for Seasonal Weather Forecasts
(NR-notat;, Research report, 2022) -
Best Practice for Inclusive Journey Mapping and Diversity in User Participation
(Lecture Notes in Computer Science;14020, Chapter, 2023)This work investigates how co-creation workshops, in which user journeys and personas are developed jointly with workshop participants, can be made as inclusive as possible for a wide range of participants and thus personas ... -
The blood transcriptome prior to ovarian cancer diagnosis: A case-control study in the NOWAC postgenome cohort
(Journal article; Peer reviewed, 2021) -
Bone mineral density through history: Dual-energy X-ray absorptiometry in archaeological populations of Norway.
(Journal article; Peer reviewed, 2021) -
Bridging the scale gap: obtaining high-resolution stochastic simulations of gridded daily precipitation in a future climate
(Journal article; Peer reviewed, 2021)Climate change impact assessment related to floods, infrastructure networks, and water resource management applications requires realistic simulations of high-resolution gridded precipitation series under a future climate. ... -
Categories of User Impairment
(Chapter, 2021) -
Caveats with estimating natural mortality rates in stock assessment models using age aggregated catch data and abundance indices
(Journal article; Peer reviewed, 2021) -
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images
(Journal article; Peer reviewed, 2023-05-09)Deep learning-based approaches for content-based image retrieval (CBIR)of computed tomography (CT) liver images is an active field of research but suffer from some critical limitations. First,they are heavily reliant on ... -
Co-creating Persona Scenarios with Diverse Users Enriching Inclusive Design
(Peer reviewed; Journal article, 2020-07-10)In this article, we will examine personas as methodological approach and review some critiques about how its use may omit or stereotype users with disabilities or even restrict user involvement. We review previous persona ... -
COASTAL HABITAT MAPPING WITH UAV MULTI-SENSOR DATA: AN EXPERIMENT AMONG DCNN-BASED APPROACHES
(Journal article; Peer reviewed, 2022)With recent abundant availability of high resolution multi-sensor UAV data and rapid development of deep learning models, efficient automatic mapping using deep neural network is becoming a common approach. However, with ... -
Coffee forensics — Reconstructing data in IoT devices running Contiki OS
(Journal article; Peer reviewed, 2021)The ability to examine evidence and reconstruct files from novel IoT operating systems, such as Contiki with its Coffee File System, is becoming vital in digital forensic investigations. Two main challenges for an investigator ... -
A Cognitive Digital Twin Architecture for Cybersecurity in IoT-Based Smart Homes
(Peer reviewed; Journal article, 2023)Home Sensing Technology Conference paper A Cognitive Digital Twin Architecture for Cybersecurity in IoT-Based Smart Homes Sandeep Pirbhulal, Habtamu Abie, Ankur Shukla & Basel Katt Conference paper First Online: 09 April ... -
Collusion-resistant Broadcast Encryption based on Hidden RSA Subgroups
(Chapter, 2022) -
A combined estimate of global temperature
(NR-notat;, Research report, 2021) -
Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity
(Peer reviewed; Journal article, 2020) -
Communicative Robot Signals: Presenting a New Typology for Human-Robot Interaction
(Chapter, 2023)We present a new typology for classifying signals from robots when they communicate with humans. For inspiration, we use ethology, the study of animal behaviour and previous efforts from literature as guides in defining ... -
A comparative study of methods for estimating model-agnostic Shapley value explanations
(Journal article; Peer reviewed, 2024)Shapley values originated in cooperative game theory but are extensively used today as a model-agnostic explanation framework to explain predictions made by complex machine learning models in the industry and academia. ... -
Comparing CMIP6 Climate Model Simulations of Annual Global Mean Temperatures to a New Combined Data Product
(Peer reviewed; Journal article, 2023) -
Comparison of Contextual Importance and Utility with LIME and Shapley Values
(Journal article; Peer reviewed, 2021)Different explainable AI (XAI) methods are based on different notions of ‘ground truth’. In order to trust explanations of AI systems, the ground truth has to provide fidelity towards the actual behaviour of the AI system. ...