• Data driven case base construction for prediction of success of marine operations 

      Mathisen, Bjørn Magnus; Aamodt, Agnar; Langseth, Helge (Journal article; Peer reviewed, 2017)
      It is a common situation to have lots of recorded data that you want to use for improving a process in your organization or make use of this data to provide new services or products. Starting with one primary data set we ...
    • Defining the initial case-base for a CBR operator support system in digital finishing - A methodological knowledge acquisition approach 

      Wienhofen, Leendert Wilhelmus Marinus; Mathisen, Bjørn Magnus (Journal article; Peer reviewed, 2016)
      Case-based reasoning (CBR) literature defines the process of defining a case-base as a hard and time-demanding task though the same literature does not report in detail on how to build your initial case base. The main ...
    • Evolving a roving-eye for go revisited 

      Mathisen, Bjørn Magnus (Master thesis, 2007)
      This thesis presents a further development of Neuroevolution of Augmenting topologies(NEAT)[21]. The author augments NEAT by parallelizing the fitness evaluation of the phenotypes enabling the method to be utilized on ...
    • FishNet: A Unified Embedding for Salmon Recognition 

      Mathisen, Bjørn Magnus; Bach, Kerstin; Meidell, Espen; Måløy, Håkon; Sjøblom, Edvard Schreiner (Chapter, 2020)
      Identifying individual salmon can be very beneficial for the aquaculture industry as it enables monitoring and analyzing fish behavior and welfare. For aquaculture researchers identifying indi- vidual salmon is imperative ...
    • Learning similarity measures from data 

      Mathisen, Bjørn Magnus; Aamodt, Agnar; Langseth, Helge; Bach, Kerstin (Journal article; Peer reviewed, 2019)
      Defining similarity measures is a requirement for some machine learning methods. One such method is case-based reasoning (CBR) where the similarity measure is used to retrieve the stored case or a set of cases most similar ...
    • An Overview of the Linked Data AppStore 

      Roman, Dumitru; Pop, Claudia D.; Roman, Roxana I.; Mathisen, Bjørn Magnus; Wienhofen, Leendert Wilhelmus Marinus; Elvesæter, Brian; Berre, Arne- Jørgen (Peer reviewed; Journal article, 2014)
      This demo/poster paper provides an overview of a Software-as-a-Service platform prototype for data integration on the Web – The Linked Data AppStore (LD-AppStore). It builds upon Linked Data technologies, targets data ...
    • På leting etter utenlandsk informasjonspåvirkning En analyse av det norske kommunestyre- og fylkestingsvalget 2019 (Rapport på oppdrag fra Kommunal- og moderniseringsdepartementet) 

      Grøtan, Tor Olav; Fiskvik, Jannicke; Haro, Peter Halland; Auran, Per Gunnar; Mathisen, Bjørn Magnus; Karlsen, Geir Hågen; Magin, Melanie; Brandtzæg, Petter Bae (Research report, 2020)
      Rapporten beskriver en systematisk undersøkelse av mulige målrettede informasjonspåvirkningsforsøk fra utenlandske aktører på ulike digitale plattformer i forbindelse med det norske kommunestyre- og fylkestingsvalget 9. ...
    • På leting etter utenlandsk informasjonspåvirkning. En analyse av det norske kommunestyre- og fylkestingsvalget 2019. SINTEF rapport 2019:01292 

      Grøtan, Tor Olav; Fiskvik, Jannicke; Haro, Peter Halland; Auran, Per Gunnar; Mathisen, Bjørn Magnus; Magin, Melanie; Brandtzæg, Petter Bae; Karlsen, Geir Hågen (Research report, 2019)
      Rapporten beskriver en systematisk undersøkelse av mulige målrettede informasjonspåvirkningsforsøk fra utenlandske aktører på ulike digitale plattformer i forbindelse med det norske kommunestyre- og fylkestingsvalget 9. ...
    • Using extended siamese networks to provide decision support in aquaculture operations 

      Mathisen, Bjørn Magnus; Bach, Kerstin; Aamodt, Agnar (Peer reviewed; Journal article, 2021)
      Aquaculture as an industry is quickly expanding. As a result, new aquaculture sites are being established at more exposed locations previously deemed unfit because they are more difficult and resource demanding to safely ...
    • Using similarity learning to enable decision support in aquaculture 

      Mathisen, Bjørn Magnus (Doctoral theses at NTNU;2021:331, Doctoral thesis, 2021)
      Aquaculture (AQ) is an industry that cultivates food in water. This includes many types of seafood such as salmon, trout, and whitefish, as well as shellfish and algae. Farms for seafood production are typically described ...