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    • HIØF Easy Navigator: An Augmented Reality App Which Guides a User to Reach Their Destination 

      Safayet, Anowar; Mahta, Moezzi; Mohaiminul, Islam; Pritam, Das; Torrado, Juan Carlos (Journal article; Peer reviewed, 2023)
      New students often have trouble finding classrooms, laboratories, libraries, or other places inside a new study place. At Østfold University Col lege (HIØF), they provide paper maps to the students to find locations inside ...
    • R2030: Digitaliseringsvennlig regelverk. Metoder for regelverksforenkling, med eksempler fra bruksforskriften 

      Stolpe, Audun; Kristoffersen, Thor O.; Østvold, Bjarte M. (NR-notat;, Research report, 2023)
      Digitalisering av regelverk gir effektiviseringsgevinster gjennom utvikling av digitale tjenester. For at et regelverk skal kunne digitaliseres effektivt, er det viktig å sørge for at reglene er så enkle som mulige og at ...
    • Automatic identification of chemical moieties 

      Lederer, Jonas; Gastegger, Michael; Schütt, Kristof T.; Kampffmeyer, Michael Christian; Müller, Klaus-Robert; Unke, Oliver T. (Journal article; Peer reviewed, 2023)
      In recent years, the prediction of quantum mechanical observables with machine learning methods has become increasingly popular. Message-passing neural networks (MPNNs) solve this task by constructing atomic representations, ...
    • Statistical Embedding: Beyond Principal Components 

      Tjøstheim, Dag Bjarne; Jullum, Martin; Løland, Anders (Journal article; Peer reviewed, 2023)
      There has been an intense recent activity in embedding of very high-dimensional and nonlinear data structures, much of it in the data science and machine learning literature. We survey this activity in four parts. In the ...
    • Some recent trends in embeddings of time series and dynamic networks 

      Tjøstheim, Dag Bjarne; Jullum, Martin; Løland, Anders (Journal article; Peer reviewed, 2023)
      We give a review of some recent developments in embeddings of time series and dynamic networks. We start out with traditional principal components and then look at extensions to dynamic factor models for time series. Unlike ...
    • Earthquake Catalog Processing and Swarm Identification for the Pacific Northwest 

      Schneider, Max; Flury, Hank; Guttorp, Peter; Wright, Amy (Journal article; Peer reviewed, 2023)
      The Pacific Northwest (PNW) of North America encompasses diverse tectonic settings that can produce damaging earthquakes near population centers. Seismicity in this region is often clustered into aftershock sequences and ...
    • Evidence in the fog – Triage in fog computing systems 

      Sandvik, Jens-Petter; Franke, Katrin; Abie, Habtamu; Årnes, Andre (Journal article; Peer reviewed, 2023)
      Fog computing promises improved service scalability and lower latency for IoT systems. The concept closes the gap between full computing capabilities at the network's edge and cloud systems' centrally located processing ...
    • View it like a radiologist: Shifted windows for deep learning augmentation of CT images 

      Østmo, Eirik Agnalt; Wickstrøm, Kristoffer; Radiya, Keyur; Kampffmeyer, Michael; Jenssen, Robert (Journal article; Peer reviewed, 2023)
      Deep learning has the potential to revolutionize medical practice by automating and performing important tasks like detecting and delineating the size and locations of cancers in medical images. However, most deep learning ...
    • eXplego: An interactive Tool that Helps you Select Appropriate XAI-methods for your Explainability Needs 

      Jullum, Martin; Sjødin, Jacob; Prabhu, Robindra; Løland, Anders (Journal article; Peer reviewed, 2023)
      The growing demand for transparency, interpretability, and explainability of machine learning models and AI systems has fueled the development of methods aimed at understanding the properties and behavior of such models ...
    • Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy 

      Wickstrøm, Kristoffer Knutsen; Løkse, Sigurd Eivindson; Kampffmeyer, Michael Christian; Yu, Shujian; Príncipe, José C.; Jenssen, Robert (Journal article; Peer reviewed, 2023)
    • Recommendations for quantitative uncertainty consideration in ecology and evolution 

      Simmonds, Emily Grace; Adjei, Kwaku Peprah; Cretois, Benjamin; Dickel, Lisa; González-Gil, Ricardo; Laverick, Jack H; Mandeville, Caitlin Marie; Mandeville, Elisabeth G.; Ovaskainen, Otso Tapio; Sicacha Parada, Jorge Armando; Skarstein, Emma; O'Hara, Robert (Journal article; Peer reviewed, 2023)
      Correct quantification and reporting of model uncertainties are fundamental to reliable science. Failing to fully account for uncertainty in scientific work leads to overconfidence and potentially adverse actions. Despite ...
    • Privacy-preserving continuous authentication using behavioral biometrics 

      Baig, Ahmed Fraz; Eskeland, Sigurd; Yang, Bian (Journal article; Peer reviewed, 2023)
      Continuous authentication modalities collect and utilize users’ sensitive data to authenticate them continuously. Such data contain information about user activities, behaviors, and other demographic information, which ...
    • Et forslag til strømstøtte basert på timespriser 

      Jullum, Martin (Others, 2023)
      Jeg foreslår at strømstøtten blir timebasert, med en støtte på 90 prosent av spotpris over cirka 87 øre. Den hindrer både gratisstrøm, negative priser og ekstrempriser og gir samme kostnad for staten.
    • Comparing CMIP6 Climate Model Simulations of Annual Global Mean Temperatures to a New Combined Data Product 

      Craigmile, Peter F.; Guttorp, Peter (Peer reviewed; Journal article, 2023)
    • Effects of local density dependence and temperature on the spatial synchrony of marine fish populations 

      Marquez, Jonatan; Herfindal, Ivar; Sæther, Bernt-Erik; Aanes, Sondre; Salthaug, Are; Lee, Aline Magdalena (Journal article; Peer reviewed, 2023)
      Disentangling empirically the many processes affecting spatial population synchrony is a challenge in population ecology. Two processes that could have major effects on the spatial synchrony of wild population dynamics are ...
    • Detecting significant retrospective patterns in state space fish stock assessment 

      Breivik, Olav Nikolai; Aldrin, Magne Tommy; Fuglebakk, Edvin; Nielsen, Anders (Journal article; Peer reviewed, 2023)
      Retrospective patterns are commonly investigated to validate fish stock assessment models. A widely applied measure for retrospective bias is Mohn’s ρ and corresponding retrospective plots. However, retrospective patterns ...
    • The Development of Microhistorical Databases in Norway A Historiography 

      Thorvaldsen, Gunnar; Holden, Lars (Peer reviewed; Journal article, 2023)
      Norwegian work on microdata started out with the full count 1801 census and census and vital records from around the capital. Today, most census and ministerial records from 1801 until the mid-20th century have been scanned, ...
    • Addressing class imbalance in deep learning for acoustic target classification 

      Pala, Ahmet; Oleynik, Anna; Utseth, Ingrid; Handegard, Nils Olav (Journal article; Peer reviewed, 2023)
      Acoustic surveys provide important data for fisheries management. During the surveys, ship-mounted echo sounders send acoustic signals into the water and measure the strength of the reflection, so-called backscatter. ...
    • Towards more supportive ICT for children with autism spectrum disorders: lessons learned from COVID-19 pandemic 

      Chinchay, Yussy; Torrado Vidal, Juan Carlos; Gomez, Javier; Montoro, Germán (Peer reviewed; Journal article, 2023)
      COVID-19 pandemic has disrupted daily routines, causing isolation and quarantine. Technology has emerged as a crucial tool for sustaining essential activities, but children with autism spectrum disorders have faced ...
    • A Cognitive Digital Twin Architecture for Cybersecurity in IoT-Based Smart Homes 

      Pirbhulal, Sandeep; Abie, Habtamu; Shukla, Ankur; Katt, Basel (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 ...