Blar i TKD - Institutt for informasjonsteknologi på tittel

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    • Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence 

      Kolevatova, Anastasiia; Riegler, Michael; Cherubini, Francesco; Hu, Xiangping; Hammer, Hugo Lewi (Big Data and Cognitive Computing;Volume 5, Issue 4, Peer reviewed; Journal article, 2021-10-15)
      A general issue in climate science is the handling of big data and running complex and computationally heavy simulations. In this paper, we explore the potential of using machine learning (ML) to spare computational time ...

    • Unsupervised and Fast Continent Classification of Digital Image Collections using Time 

      Sandnes, Frode Eika (Chapter; Peer reviewed, 2010-08)
      Advances in storage capacity means that digital cameras can store huge collections of digital photographs. Typically such images are given non-descriptive filenames names such as a unique identifier, often an integer. ...

    • Unsupervised State Representation Learning in Partially Observable Atari Games 

      Meng, Li; Goodwin, Morten; Yazidi, Anis; Engelstad, Paal E. (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      State representation learning aims to capture latent factors of an environment. Although some researchers realize the connections between masked image modeling and contrastive representation learning, the effort is focused ...

    • A Usability Evaluation of Web User Interface Scrolling Types 

      Murano, Pietro; Sharma, Sushil (First Monday;Volume 25, Number 3, Journal article; Peer reviewed, 2020)
      This paper details a usability evaluation of scrolling techniques on Web sites. The scrolling methods evaluated were normal scrolling (with default pagination), infinite scrolling, infinite scrolling with a load more button ...

    • The Usability of Hidden Functional Elements in Mobile User Interfaces 

      Munir, Mubashar; Murano, Pietro (International Conference on Enterprise Information Systems;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      The trend of maximizing mobile screen real estate by hiding user interface features has been in use for some time. However, there is a lack of empirical knowledge concerning the real usability issues of using this strategy. ...

    • Usability of Indoor Network Navigation Solutions for Persons with Visual Impairments 

      Giannoumis, G. Anthony; Pandya, Umesh; Ferati, Mexhid; Krivonos, Daria; Pey, Tom (Breaking Down Barriers. CWUAAT 2018;, Chapter; Journal article; Peer reviewed, 2018)
      The United Nations (UN) Convention on the Rights of Persons with Disabilities (CRPD) obligates States Parties to ensure personal mobility and independence for persons with disabilities by promoting access to and the ...

    • The Usability of Persistent and Non-Persistent Headers on Web Pages 

      Murano, Pietro; Kongshaug, Petter (International Conference on Enterprise Information Systems;, Chapter; Peer reviewed; Conference object, 2024)
      Websites are used for many different purposes and can also be designed in different ways with different styles. Certain website designs use persistent headers, while some alternatively use non-persistent headers. Online ...

    • The Usability of Training Apps for Older Adults – A Heuristic Evaluation 

      Kaur, Amrat; Chen, Weiqin (Chapter; Peer reviewed; Conference object; Journal article, 2022)
      The literature has shown that normal ageing is associated with a de-cline in sensory, perceptual, motor, and cognitive abilities. Physical activities and cognitive training are considered beneficial for maintaining functional ...

    • Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis 

      Storås, Andrea; Andersen, Ole Emil; Lockhart, Sam; Thielemann, Roman; Gnesin, Filip; Thambawita, Vajira L B; Hicks, Steven; Kanters, Jørgen K.; Strumke, Inga; Halvorsen, Pål; Riegler, Michael (Peer reviewed; Journal article, 2023)
      Deep neural networks are complex machine learning models that have shown promising results in analyzing high-dimensional data such as those collected from medical examinations. Such models have the potential to provide ...

    • User Identification based on Touch Dynamics 

      Sandnes, Frode Eika; Zhang, Xiaoli (Chapter; Peer reviewed, 2012-09)
      Touch interaction has quickly become the de-facto means of interacting with handheld devices due to its perceived attractiveness and low hardware cost. This study proposes a strategy for identifying users based on touch ...

    • User Interface Design for Public Kiosks : an Evaluation of the Taiwan High Speed Rail Ticket Vending Machine 

      Sandnes, Frode Eika; Jian, Hua-Li; Huang, Yo-Ping; Huang, Yueh-Min (Journal of information science and engineering;26 (1), Journal article; Peer reviewed, 2010)
      Low hardware costs and high staffing costs have resulted in an increase in public information and transaction kiosks. Ticket vending machines are one important subset of such kiosks. These machines must offer efficient ...

    • User interface evaluation of a ski injuries management system 

      Dalipi, Fisnik; Ferati, Mexhid; Yildirim, Sule (Journal article; Peer reviewed, 2017)
      Although many technological devices and solutions to enhance the skiing experience are now available for skiers, skiing sometimes could turn to be potentially dangerous. The speed of movement, environment unpredictability, ...

    • User interfaces in dark mode during daytime: Improved productivity or just cool-looking? 

      Pedersen, Lasse Apalnes; Einarsson, Svavar Skuli; Rikheim, Fredrik Arne; Sandnes, Frode Eika (Lecture Notes in Computer Science;Volume 12188, Peer reviewed, 2020)
      Applications are increasingly coming equipped with a so-called dark mode. Our observation is that many computer enthusiasts are under the impression that dark mode in a way is better than the traditional light mode. This ...

    • A User-Centered Approach to Digital Household Risk Management 

      Paupini, Cristina; Giannoumis, G. Anthony; Gjøsæter, Terje (Communications in Computer and Information Science;Volume 1226, Journal article; Peer reviewed, 2020-07-10)
      Internet of Things (IoT) is expected to become as common as electricity (OECD 2016) and there is a high probability for connected homes to become central parts of critical societal. IoT technologies might access, manage ...

    • User-centred Design For a not Straightforward University Wayfinding 

      Picazo, Javier Poves; Hazenoot, Amber; Otaduy, Celia Martínez; Braux, Marie; Bong, Way Kiat (E&PDE;DS 104, Conference object, 2020)
      OsloMet - Oslo Metropolitan University receives thousands of students and visitors annually. Its main campus consists of many buildings in which students, staff and visitors navigate. Unfortunately, navigating around the ...

    • Users Perceptions of Headphones and Earbuds in Norway and Brazil: An Empirical Study Based on a Kahoot Quiz 

      Figliolia, Amanda Coelho; Sandnes, Frode Eika; Medola, Fausto Orsi (Lecture Notes in Computer Science;12768, Conference object, 2021-07-03)
      Headphones and earbuds are seemingly more popular than ever with the wide availability of smartphones and music streaming services. Such personal audio systems are also essential for many blind and visually impaired computer ...

    • Users’ Satisfaction with an Assistive Device and Quality of Life: A preliminary study on lower limb prosthetics 

      Garcez, Letícia Vasconcelos Morais; Rodrigues, Ana Claudia Tavares; Medola, Fausto Orsi; Baleotti, Luciana Ramos; Sandnes, Frode Eika; Vaezipour, Atiyeh (Chapter; Peer reviewed, 2022)
      Quality of life refers to the individual perception of each person regarding their objectives, expectations and achievements, according to their stage of life and contexts of material, physical, emotional and social ...

    • Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events 

      Rongved, Olav Andre Nergård; Hicks, Steven; Thambawita, Vajira L B; Stensland, Håkon Kvale; Zouganeli, Evi; Johansen, Dag; Riegler, Michael Alexander; Halvorsen, Pål (International Journal of Semantic Computing (IJSC);Volume 15, Issue 02, Peer reviewed; Journal article, 2021)
      Developing systems for the automatic detection of events in video is a task which has gained attention in many areas including sports. However, there are still a number of shortcomings with current systems, such as high ...

    • Using Fuzzy Systems to Infer Memory Impairment from MRI 

      Huang, Yo-Ping; Zaza, Samuele M. M.; Chu, Wen-Jang; Krikorian, Robert; Sandnes, Frode Eika (International Journal of Fuzzy Systems;March 2018, Volume 20, Issue 3, Journal article; Peer reviewed, 2017-11-21)
      Alzheimer’s Disease (AD) is a common form of dementia which mostly affects elderly people. Gradual loss in memory and declining cognitive functions are core symptoms associated with AD. Conventional brain images do not ...

    • Using Local, Contextual, and Deep Convolutional Neural Network Features in Image Registration 

      Shrestha, Raju (International Conference on Computer Modeling and Simulation;ICCMS '20: Proceedings of the 12th International Conference on Computer Modeling and Simulation, Conference object, 2020-06)
      Image registration is a well-known problem that arises in many applications in the fields of computer vision, remote sensing, and medical imaging. Many registration methods have been proposed in the literature. However, no ...