Recent Submissions

  • Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review 

    Zhang, Jianhua; Yin, Zhong; Chen, Peng; Nichele, Stefano (Information Fusion;Volume 59, July 2020, Peer reviewed; Journal article, 2020-01-31)
    In recent years, the rapid advances in machine learning (ML) and information fusion has made it possible to endow machines/computers with the ability of emotion understanding, recognition, and analysis. Emotion recognition ...
  • Distance Estimation Methods for Smartphone-Based Navigation Support Systems 

    Kuriakose, Bineeth; Shrestha, Raju; Sandnes, Frode Eika (Lecture Notes in Networks and Systems;295, Chapter; Peer reviewed; Conference object, 2021-08-03)
    Distance estimation is a key element of a navigation system. Various methods and instruments are used in distance estimation procedures. The methods and instruments used usually depend on the contexts of the application ...
  • A new decision making model based on Rank Centrality for GDM with fuzzy preference relations 

    Yazidi, Anis; Ivanovska, Magdalena; Zennaro, Fabio Massimo; Lind, Pedro; Viedma, Enrique Herrera (European Journal of Operational Research;Volume 297, Issue 3, Peer reviewed; Journal article, 2021-06-01)
    Preference aggregation in Group Decision Making (GDM) is a substantial problem that has received a lot of research attention. Decision problems involving fuzzy preference relations constitute an important class within GDM. ...
  • Increasing faculty’s competence in digital accessibility for inclusive education: a systematic literature review 

    Bong, Way Kiat; Chen, Weiqin (International Journal of Inclusive Education;, Peer reviewed; Journal article, 2021-06-08)
    The use of information and communications technology (ICT) in higher education institutions has increased in the past 20 years. While ICT has brought many benefits to students and faculty, research shows that it also creates ...
  • Equal Pay for Knowledge Workers in Academia: An Unrealistic Proposition 

    Sandnes, Frode Eika (Palgrave Debates in Business and Management;, Chapter; Peer reviewed, 2021-12-10)
    This chapter argues for unequal pay in the cultural context of Norwegian academia. Academia is an interesting case to study, as knowledge workers are often idealistically driven rather than through pay. Contrary to the ...
  • Chambered warm moist air eyelid warming devices – a review 

    Magno, Morten Schjerven; Olafsson, Jonatan; Beining, Marie; Moschowits, Emily; Lagali, Neil; Wolffsohn, James S.; Craig, Jennifer P.; Dartt, Darlene A.; Vehof, Jelle; Utheim, Tor P. (Acta Ophthalmologica;, Journal article; Peer reviewed, 2021-11-08)
    Background: Eyelid warming is an important treatment for meibomian gland dysfunction (MGD). Specialized chambered devices, using warm moist air have been developed. Purpose: To critically evaluate the literature on the ...
  • Prediction of cloud fractional cover using machine learning 

    Svennevik, Hanna; Riegler, Michael A.; Hicks, Steven; Storelvmo, Trude; Hammer, Hugo L. (Big Data and Cognitive Computing;Volume 5 / Issue 4, Peer reviewed; Journal article, 2021-11-03)
    Climate change is stated as one of the largest issues of our time, resulting in many unwanted effects on life on earth. Cloud fractional cover (CFC), the portion of the sky covered by clouds, might affect global warming ...
  • Deep Learning for Classifying Physical Activities from Accelerometer Data 

    Nunavath, Vimala; Johansen, Sahand; Johannessen, Tommy Sandtorv; Jiao, Lei; Hansen, Bjørge Hermann; Stølevik, Sveinung Berntsen; Goodwin, Morten (Sensors;Volume 21 / Issue 16, Peer reviewed; Journal article, 2021-08-18)
    Physical inactivity increases the risk of many adverse health conditions, including the world’s major non-communicable diseases, such as coronary heart disease, type 2 diabetes, and breast and colon cancers, shortening ...
  • A deep learning-based tool for automatic brain extraction from functional magnetic resonance images of rodents 

    Gulden Dahl, Annelene; Nichele, Stefano; Mello, Gustavo (Peer reviewed; Journal article, 2021)
    Removing skull artifacts from functional magnetic images (fMRI) is a well understood and frequently encountered problem. Because the fMRI field has grown mostly due to human studies, many new tools were developed to handle ...
  • Community-living older people’s interpretation of the Norwegian version of older people’s quality of life (OPQOL) questionnaire 

    Bong, Way Kiat; Gaustadnes, Lisa Mari; Bergland, Astrid; Chen, Weiqin; Bye, Asta (Peer reviewed; Journal article, 2021)
    The aim of this study is to investigate how community‐living older people interpret the Norwegian version of Older People's Quality of Life (OPQOL) questionnaire. The original OPQOL questionnaire was translated based on ...
  • A Comparison of Multiple Selections Using Multiple Checkbox Selections and List Boxes 

    Leithe, Wasana; Sandnes, Frode Eika (Communications in Computer and Information Science;Volume 1499, Chapter; Peer reviewed; Conference object; Journal article, 2021-11-06)
    Website forms are commonly used for collecting information from users. Users choose one or more alternatives from a list. However, data input can be time-consuming. We therefore set out to explore which multiple selection ...
  • Enriching context descriptions for enhanced LA scalability: a case study 

    Samuelsen, Jeanette; Chen, Weiqin; Wasson, Barbara (Research and Practice in Technology Enhanced Learning (RPTL);16, Article number: 6 (2021), Peer reviewed; Journal article, 2021-03-29)
    Learning analytics (LA) is a field that examines data about learners and their context, for understanding and optimizing learning and the environments in which it occurs. Integration of multiple data sources, an important ...
  • Absence and Presence of Faces in Videos during the COVID19 Lockdown 

    Sandnes, Frode Eika (DSAI: Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion;DSAI 2020 - The 9th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, Chapter; Peer reviewed; Conference object, 2021-12-02)
    The COVID-19 outbreak forced the educators to deploy digital online learning giving rise to a range of new situations. The phenomenon of undergraduate students not activating their cameras during video lectures has been ...
  • Huawei, 5G and Security: Technological Limitations and Political Responses 

    Friis, Karsten; Lysne, Olav (Development and Change;Volume 52, Issue 5, Special Issue: The Wind from the East: China and the Economic Future of Europe, Peer reviewed; Journal article, 2021-10-03)
    How did Chinese 5G providers, such as Huawei, become a security concern in the USA and Europe? Were the security concerns related to 5G and Chinese suppliers based upon technological features of the systems, or were they ...
  • A Systematic Review of Differences Between Conventional Orthoses and 3D-Printed Orthoses 

    Rodrigues, Ana Claudia Tavares; Garcez, Letícia Vasconcelos Morais; Medola, Fausto Orsi; Baleotti, Luciana Ramos; Sandnes, Frode Eika; Vaezipour, Atiyeh (Lecture Notes in Networks and Systems;Volume 274, Chapter; Peer reviewed; Conference object; Journal article, 2021-07-04)
    Rapid prototyping and 3D printing technologies have been innovative options for orthotic development, that are assistive devices applied to any part of the body to different disabilities or injuries. The aim of the study ...
  • Everyone onboard? Participation ratios as a metric for research activity assessments within young universities 

    Sandnes, Frode Eika (Scientometrics;126, pages 6105–6113 (2021), Peer reviewed; Journal article, 2021-06-05)
    Research productivity metrics designed for international and national comparison of institutions may be uncritically adopted for research assessments, especially within young universities with short research traditions. ...
  • Exploring Circular Hough Transforms for Detecting Hand Feature Points in Noisy Images from Ghost-Circle Patterns 

    Sandnes, Frode Eika (Chapter; Conference object; Journal article, 2021-03-15)
    Several applications involve the automatic analysis of hand images such as biometry, digit-ratio measurements, and gesture recognition. A key problem common to these applications is the separation of hands from the background. ...
  • Image Search Versus Text Search Revisited: A Simple Experiment Using a Kahoot Quiz 

    Eide, Signe Aanderaa; Poljac, Ana-Maria; Sandnes, Frode Eika (Lecture Notes in Computer Science;Volume 12768, Chapter; Peer reviewed; Conference object; Journal article, 2021-07-03)
    Information search is a common task when interacting with computers. Many studies have investigated the characteristics that facilitate effective search, specifically the use of icons and/or text. This study reports a ...
  • A PM 2.5 Forecasting Model Based on Air Pollution and Meteorological Conditions in Neighboring Areas 

    Adrezo, Muhammad; Huang, Yo-Ping; Sandnes, Frode Eika (Communications in Computer and Information Science;Volume 1382, Chapter; Conference object; Journal article, 2021-03-15)
    Air pollution has received much attention in recent years, especially in the most densely populated areas. Sources of air pollution include factory emissions, vehicle emissions, building sites, wildfires, wood-burning ...
  • Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning 

    Jha, Debesh; Ali, Sharib; Tomar, Nikhil Kumar; Johansen, Håvard D.; Johansen, Dag; Rittscher, Jens; Riegler, Michael A.; Halvorsen, Pal (IEEE Access;Volume: 9, Peer reviewed; Journal article, 2021-03-04)
    Computer-aided detection, localization, and segmentation methods can help improve colonoscopy procedures. Even though many methods have been built to tackle automatic detection and segmentation of polyps, benchmarking of ...

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