• 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 ...
    • GUBS: Graph-Based Unsupervised Brain Segmentation in MRI Images 

      Mayala, Simeon Sahani; Herdlevær, Ida Ajvazi; Haugsøen, Jonas Bull; Anandan, Shamundeeswari; Blaser, Nello; Gavasso, Sonia; Brun, Morten (Journal article; Peer reviewed, 2022)
      Brain segmentation in magnetic resonance imaging (MRI) images is the process of isolating the brain from non-brain tissues to simplify the further analysis, such as detecting pathology or calculating volumes. This paper ...
    • Optimal sensors placement for detecting CO2 discharges from unknown locations on the seafloor 

      Oleynik, Anna; García-Ibáñez, Maribel I.; Blaser, Nello; Omar, Abdirahman; Alendal, Guttorm (Journal article; Peer reviewed, 2020-04)
      Assurance monitoring of the marine environment is a required and intrinsic part of CO2 storage project. To reduce the costs related to the monitoring effort, the monitoring program must be designed with optimal use of ...
    • Semi-conditional variational auto-encoder for flow reconstruction and uncertainty quantification from limited observations 

      Gundersen, Kristian; Oleynik, Anna; Blaser, Nello; Alendal, Guttorm (Journal article; Peer reviewed, 2021)
      We present a new data-driven model to reconstruct nonlinear flow from spatially sparse observations. The proposed model is a version of a Conditional Variational Auto-Encoder (CVAE), which allows for probabilistic ...
    • Sparse Dowker nerves 

      Brun, Morten; Blaser, Nello (Peer reviewed; Journal article, 2019-06-29)
      We propose sparse versions of filtered simplicial complexes used to compute persistent homology of point clouds and of networks. In particular, we extend the Sparse Čech Complex of Cavanna et al. (A geometric perspective ...