Blar i Vitenskapelige tidsskriftartikler og konferanseartikler med fagfellevurdering (NVI-kategori) på dokumenttype "Peer reviewed"
Viser treff 21-40 av 170
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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 ... -
Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity
(Peer reviewed; Journal article, 2020) -
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. ... -
A Contextually Supported Abnormality Detector for Maritime Trajectories
(Journal article; Peer reviewed, 2023)The analysis of maritime traffic patterns for safety and security purposes is increasing in importance and, hence, Vessel Traffic Service operators need efficient and contextualized tools for the detection of abnormal ... -
Cost-efficient service selection and execution and blockchain-enabled serverless network for internet of medical things
(Journal article; Peer reviewed, 2022) -
Cost-efficient service selection and execution and blockchain-enabled serverless network for internet of medical things
(Journal article; Peer reviewed, 2021)These days, healthcare applications on the Internet of Medical Things (IoMT) network have been growing to deal with different diseases via different sensors. These healthcare sensors are connecting to the various healthcare ... -
Cryptanalysis of a privacy-preserving authentication scheme based on private set intersection
(Journal article; Peer reviewed, 2024) -
Dark Pattern: A Serious Game for Learning About the Dangers of Sharing Data
(Journal article; Peer reviewed, 2022)Dark patterns refer to tricks built into websites and apps to manipulate users into acting unintentionally and detrimentally. An important issue is how such patterns might affect behaviour when actors are manoeuvred towards ... -
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 ... -
Deep Semi-Supervised Semantic Segmentation in Multi-Frequency Echosounder Data
(Journal article; Peer reviewed, 2023)Multi-frequency echosounder data can provide a broad understanding of the underwater environment in a non-invasive manner. The analysis of echosounder data is, hence, a topic of great importance for the marine ecosystem. ... -
DeepOtolith v1.0: An Open-Source AI Platform for Automating Fish Age Reading from Otolith or Scale Images
(Journal article; Peer reviewed, 2022) -
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 ... -
Design of the capable health empowerment tool: Citizens' needs and expectations
(Peer reviewed; Journal article, 2020)It is important but difficult for citizens to gain a proper overview of their health-related information. The CAPABLE project aims to create a digital tool that enable citizens to actively utilize their clinical and personal ...