Blar i TKD - Institutt for informasjonsteknologi på tittel

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    • Machine learning based assessment of preclinical health questionnaires 

      Avram, Calin; Gligor, Adrian; Roman, Dumitru; Soylu, Ahmet; Nyulas, Victoria; Avram, Laura (Peer reviewed; Journal article, 2023)
      Background: Within modern health systems, the possibility of accessing a large amount and a variety of data related to patients’ health has increased significantly over the years. The source of this data could be mobile ...

    • Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction 

      Hicks, Steven; Andersen, Jorunn Marie; Witczak, Oliwia; Lasantha Bandara Thambawita, Vajira; Halvorsen, Pål; Hammer, Hugo Lewi; Haugen, Trine B.; Riegler, Michael Alexander (Scientific Reports;9, Article number: 16770 (2019), Journal article; Peer reviewed, 2019-10-24)
      Methods for automatic analysis of clinical data are usually targeted towards a specific modality and do not make use of all relevant data available. In the field of male human reproduction, clinical and biological data are ...

    • A Machine Learning-based Tool for Passive OS Fingerprinting with TCP Variant as a Novel Feature 

      Hagos, Desta Haileselassie; Yazidi, Anis; Kure, Øivind; Engelstad, Paal (IEEE Internet of Things Journal;Volume: 8, Issue: 5, Peer reviewed; Journal article, 2020-09-15)
      With the emergence of Internet of Things (IoT), securing and managing large, complex enterprise network infrastructure requires capturing and analyzing network traffic traces in real-time. An accurate passive Operating ...

    • Making context the central concept in privacy engineering 

      Hoel, Tore; Chen, Weiqin; Pawlowsk, Jan (Research and Practice in Technology Enhanced Learning (RPTL);15:21, Journal article; Peer reviewed, 2020-10-19)
      There is a gap between people’s online sharing of personal data and their concerns about privacy. Till now, this gap is addressed by attempting to match individual privacy preferences with service providers’ options for ...

    • Making Learning Materials Accessible in Higher Education-Attitudes Among Technology Faculty Members 

      Chen, Weiqin; Sanderson, Norun Christine; Kessel, Siri (Studies in Health Technology and Informatics;Volume 256: Transforming our World Through Design, Diversity and Education, Journal article; Peer reviewed, 2018)
      With the increasing popularity of digital technologies, more and more digital learning materials are available in education. However, making digital learning materials accessible to diverse students can be a challenging ...

    • Making sense of the digital co-production of welfare services: using digital technology to simplify or tailor the co-production of services 

      Larsson, Karl Kristian; Skjølsvik, Tale (Public Management Review;, Peer reviewed; Journal article, 2021-12-03)
      This paper offers a theoretical framework for digital co-production in public services and considers the benefits and limitations such services can have for citizens. Based on examples from the Norwegian Labour and Welfare ...

    • Making touch-based kiosks accessible to blind users through simple gestures 

      Sandnes, Frode Eika; Tan, Tek Beng; Johansen, Anders; Sulic, Edvin; Vesterhus, Eirik; Iversen, Eirik (Journal article; Peer reviewed, 2012-11-01)
      Touch-based interaction is becoming increasingly popular and is commonly used as the main interaction paradigm for self-service kiosks in public spaces. Touch-based interaction is known to be visually intensive, and current ...

    • Man vs. AI: An in silico study of polyp detection performance 

      Smedsrud, Pia Helen; Espeland, Håvard; Berstad, Tor Jan; Petlund, Andreas; de Lange, Thomas; Riegler, Michael; Halvorsen, Pål (Annual IEEE Symposium on Computer-Based Medical Systems;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      AI-based colon polyp detection systems have received much attention, and several products and prototypes report good results. In silico verification is a crucial step when developing such systems, but very few compare human ...

    • Mandatory coursework assignments can be, and should be, eliminated! 

      Haugan, John; Lysebo, Marius; Lauvås, Per (European Journal of Engineering Education;Volume 42, 2017 - Issue 6, Journal article; Peer reviewed, 2017)
      Formative assessment can serve as a catalyst for increased student effort and student learning. Yet, many engineering degree programs are dominated by summative assessment and make limited use of formative assessment. The ...

    • Manifold feature fusion with dynamical feature selection for cross-subject emotion recognition 

      Hua, Yue; Zhong, Xiaolong; Zhang, Bingxue; Yin, Zhong; Zhang, Jianhua (Brain Sciences;Volume 11 / Issue 11, Peer reviewed; Journal article, 2021-10-23)
      Affective computing systems can decode cortical activities to facilitate emotional human– computer interaction. However, personalities exist in neurophysiological responses among different users of the brain–computer ...

    • Manufacturing technology in rehabilitation practice: Implications for its implementation in assistive technology production 

      Filho, Idinei Francisco Pires de Carv; Medola, Fausto Orsi; Sandnes, Frode Eika; Paschoarelli, Luis Carlos (Advances in Intelligent Systems and Computing;975, Chapter; Peer reviewed, 2020-06-05)
      This study addressed the participation of rehabilitation professionals in the use of Additive Manufacturing to produce assistive technology devices. A literature review based on articles published in scientific journals ...

    • Mask-conditioned latent diffusion for generating gastrointestinal polyp images 

      Macháček, Roman; Mozaffari, Leila; Sepasdar, Zahra; Parasa, Sravanthi; Halvorsen, Pål; Riegler, Michael; Thambawita, Vajira L B; Machacek, Roman (ICDAR: Intelligent Cross-Data Analysis and Retrieval;, Chapter; Peer reviewed; Conference object, 2023)
      In order to take advantage of artificial intelligence (AI) solutions in endoscopy diagnostics, we must overcome the issue of limited annotations. These limitations are caused by the high privacy concerns in the medical ...

    • Massively parallel implicit equal-weights particle filter for ocean drift trajectory forecasting 

      Holm, Håvard Heitlo; Sætra, Martin Lilleeng; van Leeuwen, Peter Jan (Journal of Computational Physics: X;Volume 6, March 2020, 100053, Journal article; Peer reviewed, 2020-03-04)
      Forecasting of ocean drift trajectories are important for many applications, including search and rescue operations, oil spill cleanup and iceberg risk mitigation. In an operational setting, forecasts of drift trajectories ...

    • MatCoupLy: Learning coupled matrix factorizations with Python 

      Roald, Marie (SoftwareX;Volume 21, February 2023, 101292, Peer reviewed; Journal article, 2023-01-04)
      Coupled matrix factorization (CMF) models jointly decompose a collection of matrices with one shared mode. For interpretable decompositions, constraints are often needed, and variations of constrained CMF models have been ...

    • Maximal isotropic subbundles of orthogonal bundles of odd rank over a curve 

      Hitching, George Harry; Choe, Insong (International Journal of Mathematics;26(13), Journal article; Peer reviewed, 2015-11-25)
      An orthogonal bundle over a curve has an isotropic Segre invariant determined by the maximal degree of a maximal isotropic subbundle. This in- variant and the induced strati cations on moduli spaces of orthogonal bundles ...

    • Maximizing hypervisor scalability using minimal virtual machines 

      Bratterud, Alfred; Haugerud, Hårek (IEEE International Conference on Cloud Computing Technology and Science;, Chapter; Peer reviewed, 2013)
      The smallest instance offered by Amazon EC2 comes with 615MB memory and a 7.9GB disk image. While small by today's standards, embedded web servers with memory footprints well under 100kB, indicate that there is much to be ...

    • Measuring 2D:4D finger length ratios with Smartphone Cameras 

      Sandnes, Frode Eika (IEEE International Conference on Systems, Man, and Cybernetics;2014, Peer reviewed; Chapter, 2014-10)
      Finger length ratios have received much attention among researchers as the 2D:4D ratio has been linked to several physical and mental characteristics. This study explores the feasibility of using a Smartphone as an ...

    • Measuring digit ratio with smart phone to unveil health conditions and behavior 

      Huang, Yo-Ping; Basanta, Haobijam; Sandnes, Frode Eika (Peer reviewed; Chapter, 2015)
      Finger lengths have fascinated scientific researchers for a long time and people hardly notice different underpinnings of the relation between the shape and size of our body to the scientific meanings. The idea behind the ...

    • Medstudentvurdering i matematikk og fysikk 

      Haugan, John; Lysebo, Marius (Journal article; Peer reviewed, 2015)
      Høsten 2014 ble det gjort endringer i begynnerundervisningen i matematikk og fysikk ved ett av studieprogrammene ved Høgskolen i Oslo og Akershus. Alle arbeidskravene ble fjernet, og medstudentvurdering ble innført. Målet ...

    • A memory aid for reduced cognitive load in manually entered online bank transactions 

      Sandnes, Frode Eika (Journal article; Peer reviewed, 2012-10)
      Paper based invoices are still commonly used in Norway where users manually copy large amounts of digits in order to set up transactions. Such digit copying tasks are cognitively and visually demanding, errors are ...