• Modeling Wind-Speed Statistics beyond the Weibull Distribution 

      Lencastre, Pedro; Yazidi, Anis; Lind, Pedro (Peer reviewed; Journal article, 2024)
      While it is well known that the Weibull distribution is a good model for wind-speed measurements and can be explained through simple statistical arguments, how such a model holds for shorter time periods is still an open ...
    • Modelling 3D Objects using 2D Sketches through Radial Renderings of Curvature Maps 

      Sandnes, Frode Eika; Eika, Evelyn (Journal article; Peer reviewed, 2018)
      Modelling 3D objects is challenging; often special software skills are required. This paper explores a new method for experimenting with 3D modelling using two-dimensional drawings. These drawings use coloured areas to ...
    • Modelling 3D objects using 2D sketches through radial renderings of curvature maps 

      Sandnes, Frode Eika; Eika, Evelyn (Advances in Intelligent Systems and Computing; volume 793, Journal article; Peer reviewed, 2018)
      Modelling 3D objects is challenging; often special software skills are required. This paper explores a new method for experimenting with 3D modelling using two-dimensional drawings. These drawings use coloured areas to ...
    • Modelling privacy harms of compromised personal medical data - beyond data breach 

      Wairimu, Samuel; Fritsch, Lothar (Conference object, 2022-08-23)
      What harms and consequences do patients experience after a medical data breach? This article aims at the improvement of privacy impact analysis for data breaches that involve personal medical data. The article has two major ...
    • Modern AI versus century-old mathematical models: How far can we go with generative adversarial networks to reproduce stochastic processes? 

      Rego Lencastre e Silva, Pedro; Gjersdal, Marit; Gorjão, Leonardo Rydin; Yazidi, Anis; Lind, Pedro (Peer reviewed; Journal article, 2023)
      The usage of generative adversarial networks (GAN)s for synthetic time-series data generation has been gaining popularity in recent years with applications from finance to music composition and processing of textual ...
    • Modernization from a Maintenance Process Perspective: Challenges and Lessons Learned 

      Yamashita, Aiko (Journal article; Peer reviewed, 2017)
      Modernization and migration initiatives are not limited to projects where complex legacy systems need to be phased-out. They include wider contexts, from the replacement of obsolete middle ...
    • Moduli Spaces of Reflexive Sheaves of Rank 2 

      Kleppe, Jan Oddvar (Canadian Journal of Mathematics;62 (5), Journal article; Peer reviewed, 2010)
      Let F be a coherent rank 2 sheaf on a scheme Y in P^n of dimension at least two. In this paper we study the relationship between the functor which deforms a pair (F,s), s in H^0(F), and the functor which deforms the ...
    • MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation 

      Srivastava, Abhishek; Jha, Debesh; Chanda, Sukalpa; Pal, Umapada; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael; Ali, Sharib; Halvorsen, Pål (IEEE journal of biomedical and health informatics;Volume: 26, Issue: 5, Peer reviewed; Journal article, 2021-12-23)
      Methods based on convolutional neural networks have improved the performance of biomedical image segmentation. However, most of these methods cannot efficiently segment objects of variable sizes and train on small and ...
    • A multi-centre polyp detection and segmentation dataset for generalisability assessment 

      Ali, Sharib; Jha, Debesh; Ghatwary, Noha; Realdon, Stefano; Cannizzaro, Renato; Salem, Osama E.; Lamarque, Dominique; Daul, Christian; Riegler, Michael Alexander; Ånonsen, Kim Vidar; Petlund, Andreas; Halvorsen, Pål; Rittscher, Jens; de Lange, Thomas; East, James E (Peer reviewed; Journal article, 2023)
    • Multi-switch scanning keyboards: A theoretical study of simultaneous parallel scans with QWERTY layout 

      Sandnes, Frode Eika; Eika, Evelyn; Medola, Fausto Orsi (Lecture Notes in Computer Science;10907; Universal Access in Human-Computer Interaction. Methods, Technologies, and Users, Journal article; Peer reviewed, 2018-06-05)
      Scanning keyboards can be useful aids for individuals with reduced motor function. However, scanning input techniques are known for being very slow to use because they require waiting for the right cell to be highlighted ...
    • Multimedia Datasets: Challenges and Future Possibilities 

      Nguyen, Thu; Storås, Andrea; Thambawita, Vajira L B; Hicks, Steven; Halvorsen, Pål; Riegler, Michael Alexander (Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Public multimedia datasets can enhance knowledge discovery and model development as more researchers have the opportunity to contribute to exploring them. However, as these datasets become larger and more multimodal, besides ...
    • Multimedia streaming analytics: quo vadis? 

      Midoglu, Cise; Avelino, Mariana; Gopalakrishnan, Shri Hari; Pham, Stefan; Halvorsen, Pål (MHV: Mile-High Video;MHV '22: Proceedings of the 1st Mile-High Video Conference, Conference object, 2022)
      In today’s complex OTT multimedia streaming ecosystem, the task of ensuring the best streaming experience to end-users requires extensive monitoring, and such monitoring information is relevant to various stakeholders ...
    • Multimodal Navigation Systemsfor Users with Visual Impairments—A Review and Analysis 

      Kuriakose, Bineeth; Shrestha, Raju; Sandnes, Frode Eika (Multimodal Technologies and Interaction;Volume 4, Issue 4, Journal article; Peer reviewed, 2020-10-16)
      Multimodal interaction refers to situations where users are provided with multiple modes for interacting with systems. Researchers are working on multimodality solutions in several domains. The focus of this paper is within ...
    • Multiplicative Update Methods for Incremental Quantile Estimation 

      Yazidi, Anis; Hammer, Hugo Lewi (IEEE Transactions on Cybernetics;VOL. 49, NO. 3, Journal article; Peer reviewed, 2019)
      We present a novel lightweight incremental quantile estimator which possesses far less complexity than the Tierney's estimator and its extensions. Notably, our algorithm relies only on tuning one single parameter which is ...
    • Nationwide rollout reveals efficacy of epidemic control through digital contact tracing 

      Elmokashfi, Ahmed Mustafa Abdalla; Sundnes, Joakim; Kvalbein, Amund; Naumova, Valeriya; Reinemo, Sven-Arne; Florvaag, Per Magne; Stensland, Håkon Kvale; Lysne, Olav (Nature Communications;12, Article number: 5918 (2021), Peer reviewed; Journal article, 2021-10-11)
      Fuelled by epidemiological studies of SARS-CoV-2, contact tracing by mobile phones has been put to use in many countries. Over a year into the pandemic, we lack conclusive evidence on its effectiveness. To address this ...
    • Near Eyes-Free Chauffeur Computer Interaction with Chording and Visual Text Mnemonics 

      Sandnes, Frode Eika; Huang, Yo-Ping; Huang, Yueh-Min (Journal of Universal Computer Science;16 (10), Journal article; Peer reviewed, 2010)
      Modern cars are equipped with advanced technology requiring cognitively complex operation that is reliant on the user’s visual attention. It is therefore hazardous for drivers to operate such devices while driving. In ...
    • Net Auto-Solver: A formal approach for automatic resolution of OpenFlow anomalies 

      Aryan, Ramtin; Yazidi, Anis; Engelstad, Paal E.; Bouhoula, Adel (Conference on Local Computer Networks; 2020 IEEE 45th Conference on Local Computer Networks (LCN), Journal article; Peer reviewed, 2021-01-15)
      Policy anomalies are frequent in nowadays’s computer networks due to their increasing configuration complexity. Resolving policy anomalies usually requires network administrator intervention, which is a time-intensive and ...
    • .NET/C# instrumentation for search-based software testing 

      Golmohammadi, Amid; Zhang, Man; Arcuri, Andrea (Peer reviewed; Journal article, 2023)
      C# is one of the most widely used programming languages. However, to the best of our knowledge, there has been no work in the literature aimed at enabling search-based software testing techniques for applications running ...
    • A neural network model and framework for an automatic evaluation of image descriptions based on NCAM image accessibility guidelines 

      Shrestha, Raju (Chapter; Peer reviewed, 2021)
      Millions of people who are either blind or visually impaired have difficulty understanding the content in an image. To address the problem textual image descriptions or captions are provided separately or as alternative ...
    • A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality 

      Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (Cognitive Neurodynamics;, Journal article; Peer reviewed, 2020-06-11)
      Although deep learning has recently increased in popularity, it suffers from various problems including high computational complexity, energy greedy computation, and lack of scalability, to mention a few. In this paper, ...