• Data Mining in Norwegian Level-of-Living Survey Data 

      Vestby, Magnus Lyngseth (Master thesis, 2020-07-11)
      This thesis analyses how level-of-living survey data can be explored using data mining techniques and how well the resulting patterns can be visualized to inform non-experts. The project utilized the design science research ...
    • HALE, the Hip Arthroplasty Longevity Estimation system 

      Longberg, Per-Niklas (Master thesis, 2018-12-15)
      This master thesis presents a Design Science research in which the HALE system for total hip arthroplasty prosthesis longevity estimation has been developed. The HALE system was developed to explore the use of machine ...
    • Irritable Bowel Syndrome and Neuroimaging-based Biomarkers 

      Hansen, Viola Helene (Master thesis, 2020-09-01)
    • Machine learning and electronic health records 

      Stavland, Sivert (Master thesis, 2020-10-02)
      In this work, we investigate the benefits and complications of using machine learning on EHR data. We survey some recent literature and conduct experiments on real data collected from hospital EHR systems.
    • Machine learning methods for preference aggregation 

      Kujawska, Hanna Maria (Master thesis, 2019-11-14)
      Preference aggregation is the process of combining multiple preferences orders into one global ranking. The top-ranked alternative is called the winner. Many aggregation methods have been considered in the literature. Some ...
    • Wittgenstein and the Concept of Learning in Artificial Intelligence 

      Vazquez Hernandez, Arturo (Master thesis, 2020-06-26)
      The object of this investigation is to analyze the application of the concept of learning to machines and software as displayed in Artificial Intelligence (AI). This field has been approached from different philosophical ...