• Pivot Model of Policy Entrepreneurship: an application of European ideas in the Global South 

      Giannoumis, G. Anthony; Nthenge, Mirriam; Manhique, Jorge (Chapter; Peer reviewed, 2017)
      Previous research has demonstrated that social institutions – relatively enduring norms, values and procedures important to a society – structure the behavior of policy actors. In addition, theorists have argued that ...
    • 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, Conference object, 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 ...
    • PMData: a sports logging dataset 

      Thambawita, Vajira; Hicks, Steven; Borgli, Hanna; Stensland, Håkon Kvale; Jha, Debesh; Svensen, Martin Kristoffer; Pettersen, Svein Arne; Johansen, Dag; Johansen, Håvard D.; Pettersen, Susann Dahl; Nordvang, Simon; Pedersen, Sigurd; Gjerdrum, Anders Tungeland; Grønli, Tor-Morten; Fredriksen, Per Morten; Eg, Ragnhild; Hansen, Kjeld S.; Fagernes, Siri; Claudi, Christine; Biørn-Hansen, Andreas; Dang Nguyen, Duc Tien; Kupka, Tomas; Hammer, Hugo Lewi; Jain, Ramesh; Riegler, Michael; Halvorsen, Pål (MM: International Multimedia Conference;MMSys '20: Proceedings of the 11th ACM Multimedia Systems Conference, Conference object, 2020-05-27)
      In this paper, we present PMData: a dataset that combines traditional lifelogging data with sports-activity data. Our dataset enables the development of novel data analysis and machine-learning applications where, for ...
    • PolyACO+: a multi-level polygon-based ant colony optimisation classifier 

      Goodwin, Morten; Tufteland, Torry; Ødesneltvedt, Guro; Yazidi, Anis (Swarm Intelligence;Volume 11, Issue 3–4, Journal article; Peer reviewed, 2017-12)
      Ant Colony Optimisation for classification has mostly been limited to rule based approaches where artificial ants walk on datasets in order to extract rules from the trends in the data, and hybrid approaches which attempt ...
    • PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps 

      Fagereng, Jan Andre; Thambawita, Vajira L B; Storås, Andrea; Parasa, Sravanthi; de Lange, Thomas; Halvorsen, Pål; Riegler, Michael (Annual IEEE Symposium on Computer-Based Medical Systems;2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS), Conference object, 2022)
      Early identification of a polyp in the lower gastrointestinal (GI) tract can lead to prevention of life-threatening colorectal cancer. Developing computer-aided diagnosis (CAD) systems to detect polyps can improve detection ...
    • A population-based incremental learning approach to network hardening 

      Paulsen, Alexander; Yazidi, Anis; Feng, Boning; Ou, Xinming (New Trends in Intelligent Software Methodologies, Tools and Techniques;, Chapter; Chapter; Peer reviewed, 2018)
      Enterprise networks constantly face new security challenges. Obtaining complete network security is almost impossible, especially when usability requirements are taken into account. Previous research has provided ways to ...
    • Poster: QoE-Based Analysis of Real-Time Adaptive 360-Degree Video Streaming 

      Midoglu, Cise; Klausen, Magnus; Alay Erduran, Özgü; Yazidi, Anis; Haugerud, Hårek; Griwodz, Carsten (S3: Wireless of the Students, by the Students, for the Students;S3'19: Proceedings of the 2019 on Wireless of the Students, by the Students, and for the Students Workshop, Conference object, 2019-10)
      We propose a QoE-based analysis approach for real-time adaptive 360-degree video streaming measurements, focusing on the correlation between objective video metrics and subjective end-user scores.
    • Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos 

      Sharma, Akriti; Ansari, Ayaz Z.; Kakulavarapu, Radhika; Stensen, Mette Haug; Riegler, Michael; Hammer, Hugo Lewi (Peer reviewed; Journal article, 2023)
      Assisted reproductive technology is used for treating infertility, and its success relies on the quality and viability of embryos chosen for uterine transfer. Currently, embryologists manually assess embryo development, ...
    • Predicting High Delays in Mobile Broadband Networks 

      Mohamed Ahmed, Azza Hassan; Hicks, Steven; Riegler, Michael; Elmokashfi, Ahmed Mustafa Abdalla (IEEE Access;Volume 9: 2021, Peer reviewed; Journal article, 2021-12-24)
      The number of applications that run over mobile networks, expecting bounded end-to-end delay, is increasing steadily. However, the stochastic and shared nature of the wireless medium makes providing such guarantees ...
    • Predicting missing pairwise preferences from similarity features in group decision making 

      Abolghasemi, Roza; Khadka, Rabindra; Lind, Pedro; Engelstad, Paal E.; Viedma, Enrique Herrera; Yazidi, Anis (Knowledge-Based Systems;Volume 256, 28 November 2022, 109860, Peer reviewed; Journal article, 2022)
      In group decision-making (GDM), fuzzy preference relations (FPRs) refer to pairwise preferences in the form of a matrix. Within the field of GDM, the problem of estimating missing values is of utmost importance, since many ...
    • Predicting peek readiness-to-train of soccer players using long short-term memory recurrent neural networks 

      Wiik, Theodor; Johansen, Håvard D.; Pettersen, Svein Arne; Matias Do Vale Baptista, Ivan Andre; Kupka, Tomas; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (International Workshop on Content-Based Multimedia Indexing, CBMI;, Conference object, 2019)
      We are witnessing the emergence of a myriad of hardware and software systems that quantifies sport and physical activities. These are frequently touted as game changers and important for future sport developments. The vast ...
    • Prediction and correlation analysis of ventilation performance in a residential building using artificial neural network models based on data-driven analysis 

      Kim, Moon Keun; Cremers, Bart; Liu, Jiying; Zhang, Jianhua; Wang, Junqi (Sustainable Cities and Society (SCS);Volume 83, August 2022, 103981, Peer reviewed; Journal article, 2022-06-14)
      This study investigates approaches to evaluate prediction and correlation how significantly mechanical and natural ventilation rate and local weather conditions affect the actual ventilation performance of a residential ...
    • 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 ...
    • Prediction of schizophrenia from activity data using hidden Markov model parameters 

      Boeker, Matthias; Hammer, Hugo Lewi; Riegler, Michael; Halvorsen, Pål; Jakobsen, Petter (Peer reviewed; Journal article, 2022)
    • Predictions of Spectral Parameters by Several Inflationary Universe Models in light of the Planck Results 

      Grøn, Øyvind (Universe;Volume 4, Issue 2, Journal article; Peer reviewed, 2018-01-29)
      I give a review of predictions of values of spectral parameters for a large number of inflationary models. The present review includes detailed deductions and information about the approximations that have been made, written ...
    • A Preliminary Investigation into the Usability of Force Touch Interaction in a Mobile Context 

      Murano, Pietro; Danial Ali, Rao Muhammad (International Journal of Interactive Mobile Technologies (iJIM);Vol 12, No 5 (2018), Journal article; Peer reviewed, 2018)
      This paper details a preliminary evaluation into the usability and universal design of force touch interaction with older users as recently introduced into the Apple iOS9 operating system. The evaluation involved a small ...
    • A Preliminary Usability and Universal Design Evaluation of a Television App User Interface 

      Awale, Bikram; Murano, Pietro (Baltic Journal of Modern Computing;Vol. 8 (2020), No. 3, Journal article; Peer reviewed, 2020)
      This paper details a two-part evaluation of the Apple TV user interface. A Heuristic Evaluation and an evaluation using the seven universal design principles were carried out. The overall results showed that the Apple TV ...
    • Privacy and Data Protection in Learning Analytics should be motivated by an Educational Maxim - towards a proposal 

      Hoel, Tore; Chen, Weiqin (Research and Practice of Technology Enhanced Learning;(2018) 13:20, Journal article; Peer reviewed, 2018-12-11)
      Privacy and data protection are a major stumbling blocks for a data-driven educational future. Privacy policies are based on legal regulations, which in turn get their justification from political, cultural, economical and ...
    • Privacy engineering for learning analytics in a global market: Defining a point of reference 

      Hoel, Tore; Chen, Weiqin (International Journal of Information and Learning Technology;Vol. 36 No. 4, Journal article; Peer reviewed, 2019-03-21)
      Purpose: Privacy is a culturally universal process; however, in the era of Big Data privacy is handled very differently in different parts of the world. This is a challenge when designing tools and approaches for the use ...
    • The process of business model disruption in knowledge-intensive services: The case of Legal Tech 

      Skjølsvik, Tale; Pemer, Frida (Proceedings of the European Conference on Innovation and Entrepreneurship, ECIE;ECIE 2019 : 14th European Conference on Innovation and Entrepreneurship, Journal article; Peer reviewed, 2019)
      Disruptive technologies were introduced as a concept in the late 1990s, where the process of disruption was largely attributed to technological developments and the inertia of incumbents. Later scholars have emphasized the ...