• Binary time series classification with Bayesian convolutional neural networks when monitoring for marine gas discharges 

      Gundersen, Kristian; Alendal, Guttorm; Oleynik, Anna; Blaser, Nello (Journal article; Peer reviewed, 2020-06-19)
      The world’s oceans are under stress from climate change, acidification and other human activities, and the UN has declared 2021–2030 as the decade for marine science. To monitor the marine waters, with the purpose of ...
    • FPT Algorithms for Diverse Collections of Hitting Sets 

      Baste, Julien; Jaffke, Lars; Masařík, Tomáš; Philip, Geevarghese; Rote, Günter (Peer reviewed; Journal article, 2019-11-27)
      In this work, we study the d-Hitting Set and Feedback Vertex Set problems through the paradigm of finding diverse collections of r solutions of size at most k each, which has recently been introduced to the field of ...
    • A new algorithm for simultaneous retrieval of aerosols and marine parameters 

      Ssenyonga, Taddeo; Frette, Øyvind; Hamre, Børge; Stamnes, Knut; Muyimbwa, Dennis; Ssebiyonga, Nicolausi; Stamnes, Jakob J. (Journal article; Peer reviewed, 2022)
      We present an algorithm for simultaneous retrieval of aerosol and marine parameters in coastal waters. The algorithm is based on a radiative transfer forward model for a coupled atmosphere-ocean system, which is used to ...