Fakultet for naturvitenskap og teknologi: Nye registreringer
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Supercm: Revisiting Clustering for Semi-Supervised Learning
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-05)The development of semi-supervised learning (SSL) has in recent years largely focused on the development of new consistency regularization or entropy minimization approaches, often resulting in models with complex training strategies to obtain the desired results. In this work, we instead propose a novel approach that explicitly incorporates the underlying clustering assumption in SSL through extending ... -
Using a large open clinical corpus for improved ICD-10 diagnosis coding
(Journal article; Tidsskriftartikkel, 2023)With the recent advances in natural language processing and deep learning, the development of tools that can assist medical coders in ICD-10 diagnosis coding and increase their efficiency in coding discharges ummaries is significantly more viable than before. To that end, one important component in the development of these models is the datasets used to train them. In this study, such datasets are ... -
De-identifying Norwegian Clinical Text using Resources from Swedish and Danish
(Journal article; Tidsskriftartikkel, 2023)The lack of relevant annotated datasets represents one key limitation in the application of Natural Language Processing techniques in a broad number of tasks, among them Protected Health Information (PHI) identification in Norwegian clinical text. In this work, the possibility of exploiting resources from Swedish, a very closely related language, to Norwegian is explored. The Swedish dataset is ... -
Optical trapping in air on a single interference fringe
(Journal article; Tidsskriftartikkel, 2023)Stable and reproducible trapping in air of 1 µm and 500 nm dielectric particles has been realized using a dual beam optical fiber tweezers with cleaved commercial single mode fibers. The influence of the interference fringes of the two coherent and counter-propagating trapping beam is investigated by controlling the fringe visibility. Optical trapping on a series of upto10 fringes or trapping on ... -
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus
(Journal article; Tidsskriftartikkel, 2023)Explainable AI (XAI) is a rapidly evolving field that aims to improve transparency and trustworthiness of AI systems to humans. One of the unsolved challenges in XAI is estimating the performance of these explanation methods for neural networks, which has resulted in numerous competing metrics with little to no indication of which one is to be preferred. In this paper, to identify the most reliable ... -
DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-01-15)Cross-modal garment synthesis and manipulation will significantly benefit the way fashion designers generate garments and modify their designs via flexible linguistic interfaces. However, despite the significant progress that has been made in generic image synthesis using diffusion models, producing garment images with garment part level semantics that are well aligned with input text prompts and ... -
Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-01-15)Multi-person 3D mesh recovery from videos is a critical first step towards automatic perception of group behavior in virtual reality, physical therapy and beyond. However, existing approaches rely on multi-stage paradigms, where the person detection and tracking stages are performed in a multi-person setting, while temporal dynamics are only modeled for one person at a time. Consequently, their ... -
Exploring the Potential of Sentinel-1 Ocean Wind Field Product for Near-Surface Offshore Wind Assessment in the Norwegian Arctic
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-01-24)The exploitation of offshore wind resources is a crucial step towards a clean energy future. It requires an advanced approach for high-resolution wind resource evaluations. We explored the suitability of the Sentinel-1 Level-2 OCN ocean wind field (OWI) product for offshore wind resource assessments. The SAR data were compared to in situ observations and three reanalysis products: the global ... -
Eventually-Consistent Replicated Relations and Updatable Views
(Chapter; Bokkapittel, 2023-08-31)Distributed systems have to live with weak consistency, such as eventual consistency, if high availability is the primary goal and network partitioning is unexceptional. Local-first applications are examples of such systems. There is currently work on local-first databases where the data are asynchronously replicated on multiple devices and the replicas can be locally updated even when the devices ... -
Validation of ESDS Using Epidemic-Based Data Dissemination Algorithms
(Journal article; Tidsskriftartikkel, 2023-09-27)The study of Distributed Systems (DS) is important as novel solutions in this area impact many sub-fields of Computer Science. Although, studying DS is not an easy task. A common approach is to deploy a test-bed to perform a precise evaluation of the system. This can be costly and time consuming for large scale platforms. Another solution is to perform network simulations, allowing for more flexibility ... -
Towards Data Dissemination Policy Prediction for Constrained Environments Using Analytics
(Journal article; Tidsskriftartikkel, 2023-09-27)<p>In Cyber-Physical Systems (CPS) such as Wireless Sensors Networks (WSN), disseminating data is crucial. Under energy constraints with limited communications capabilities, performing data dissemination is challenging. In such contexts, common data dissemination methods cannot be used. Nodes must rely on device-to-device communications policies to mitigate the impact of communications on the nodes ... -
Deep Learning in Precancerous Lesions Detection during Surveillance Colonoscopies of IBD Patients.
(Mastergradsoppgave; Master thesis, 2024-01-11)Deep Learning (DL) models have developed tremendously over the last couple of decades in their ability to train across large datasets and give fast and accurate results across a varied number of tasks like image classification and segmentation. This is the reason why DL models are being increasingly adopted for aiding medical professionals in the diagnosis and detection of various medical conditions ... -
Aquilier: An Ethereum-Based Smart Contract for Door-Lock Management in Home Assistant
(Mastergradsoppgave; Master thesis, 2023-12-15)The widespread adoption of distributed computer systems, exemplified by plat- forms like Airbnb and Booking.com, has transformed homes into rental proper- ties and streamlined vacation rentals by offering comprehensive tools for listing properties, processing payments, facilitating searches, and enabling communi- cation. However, a critical gap remains: these platforms do not facilitate ... -
Parid-GO A Personalised Augmented Reality Game to Reinforce Outdoor Physical Activity for People with Intellectual Disabilities
(Mastergradsoppgave; Master thesis, 2023-09-11)Parid-GO A Personalised Augmented Reality Game to Reinforce Outdoor Physical Activity for People with Intellectual Disabilities. This project aims to develope a dynamic content solution that are user centric. The rationale is that by allowing the participants to customize and use other themes, colors, etc., the participant will be more engaged and use the application more. Which in turn will increase ... -
A Comparison Between Oil-to-Water Volumetric Fractions Derived from L-Band Synthetic Aperture Radar Imagery and in Situ Samples
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-20)We compare in-situ water volume measurements of mineral oil emulsion sampled from an oil slick in Santa Barbara, California, to acquisitions of airborne UAVSAR data acquired in June 2022. Estimating the water-to-oil fraction using the UAVSAR imagery, we find that low SNR in the co- and cross-polarimetric channels limits this capability above a certain oil-to-water volumetric threshold. Higher SNR ... -
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-22)Distance-based classification is frequently used in transductive few-shot learning (FSL). However, due to the high-dimensionality of image representations, FSL classifiers are prone to suffer from the hubness problem, where a few points (hubs) occur frequently in multiple nearest neighbour lists of other points. Hubness negatively impacts distance-based classification when hubs from one class appear ... -
Image Inpainting With Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-14)Scanning Acoustic Microscopy (SAM) uses high-frequency acoustic waves to generate non-ionizing, label-free images of the surface and internal structures of industrial objects and biological specimens. The resolution of SAM images is limited by several factors such as the frequency of excitation signals, the signal-to-noise ratio, and the pixel size. We propose to use a hypergraphs image inpainting ... -
Sport and Nutrition Digital Analysis: A Legal Assessment
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-03-29)This paper presents and evaluates legal aspects related to digital technologies applied in the elite soccer domain. Data Protection regulations in Europe clearly indicate that compliance-by-design is needed when developing and deploying such technologies. This is particularly true when health data is involved, but a complicating factor is that the distinction between what is health data or not is ... -
Accurate Lightweight Calibration Methods for Mobile Low-Cost Particulate Matter Sensors
(Chapter; Bokkapittel, 2023-09-05)<p>Monitoring air pollution is a critical step towards improving public health, particularly when it comes to identifying the primary air pollutants that can have an impact on human health. Among these pollutants, particulate matter (PM) with a diameter of up to 2.5 μm (or PM2.5) is of particular concern, making it important to continuously and accurately monitor pollution related to PM. The emergence ... -
Building ecological literacy in mining communities: A sustainable development perspective
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-21)Ecological Literacy (EL) is understanding and applying ecological principles to environmental issues. It involves recognizing the interdependence of living organisms and ecosystems and the impacts of human actions on the environment. EL individuals possess knowledge of biodiversity, ecological processes, and sustainability, enabling them to make informed, environmentally responsible decisions. This ...