• Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings 

      Tasken, Anders Austlid; Berg, Erik Andreas Rye; Grenne, Bjørnar Leangen; Holte, Espen; Dalen, Håvard; Stølen, Stian Bergseng; Lindseth, Frank; Aakhus, Svend; Kiss, Gabriel Hanssen (Peer reviewed; Journal article, 2023)
      Perioperative monitoring of cardiac function is beneficial for early detection of cardiovascular complications. The standard of care for cardiac monitoring performed by trained cardiologists and anesthesiologists involves ...
    • Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All 

      Flogard, Eirik Lund; Mengshoel, Ole Jakob; Bach, Kerstin (Peer reviewed; Journal article, 2022)
      Every year there are 1.9 million deaths world-wide attributed to occupational health and safety risk factors. To address poor working conditions and fulfill UN's SDG 8, "protect labour rights and promote safe working ...
    • 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 ...
    • Forecasting Intra-Hour Imbalances in Electric Power Systems 

      Saleh Salem, Tárik; Kathuria, Karan; Ramampiaro, Heri; Langseth, Helge (Journal article; Peer reviewed, 2019)
      Keeping the electricity production in balance with the actual demand is becoming a difficult and expensive task in spite of an involvement of experienced human operators. This is due to the increasing complexity of the ...
    • 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 ...
    • Multi-level grounding and self-organization of behaviour through evolution, development, learning and culture 

      Federici, Diego (Doktoravhandlinger ved NTNU, 1503-8181; 2005:43, Doctoral thesis, 2005)
      The research topic of this PhD concerns the production of intelligent adaptive behaviour from the embodied perspective. The intelligence seen in biological organisms arises as an emergent property of a complex system ...