Blar i Faculty of Mathematics and Natural Sciences på forfatter "Blaser, Nello"

Viser treff 1-11 av 11

    • 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 ...

    • Contaminant accumulation and biological responses in Atlantic cod (Gadus morhua) caged at a capped waste disposal site in Kollevåg, Western Norway 

      Dale, Karina; Müller, Mette Bjørge; Tairova, Zhanna; Khan, Essa Ahsan; Hatlen, Kristin; Grung, Merete; Yadetie, Fekadu; Lille-Langøy, Roger; Blaser, Nello; Skaug, Hans J; Lyche, Jan Ludvig; Arukwe, Augustine; Hylland, Ketil; Karlsen, Odd André; Goksøyr, Anders (Peer reviewed; Journal article, 2019)
      The aim of this study was to assess whether fish in Kollevåg, a sheltered bay on the western coast of Norway, previously utilized as a waste disposal site, could be affected by environmental contaminants leaking from the ...

    • ETH-Tight Algorithms for Finding Surfaces in Simplicial Complexes of Bounded Treewidth 

      Black, Mitchell; Blaser, Nello; Nayyeri, Amir; Vågset, Erlend Raa (Journal article; Peer reviewed, 2022)
      Given a simplicial complex with n simplices, we consider the Connected Subsurface Recognition (c-SR) problem of finding a subcomplex that is homeomorphic to a given connected surface with a fixed boundary. We also study ...

    • 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 ...

    • Integrative omics-analysis of lipid metabolism regulation by peroxisome proliferator-activated receptor a and b agonists in male Atlantic cod 

      Eide, Marta; Goksøyr, Anders; Yadetie, Fekadu; Gilabert, Alejandra; Bartosova, Zdenka; Frøysa, Håvard Guldbrandsen; Fallahi, Shirin; Zhang, Xiaokang; Blaser, Nello; Jonassen, Inge; Bruheim, Per; Alendal, Guttorm; Brun, Morten; Porte, Cinta; Karlsen, Odd André (Journal article; Peer reviewed, 2023-03-22)
      Lipid metabolism is essential in maintaining energy homeostasis in multicellular organisms. In vertebrates, the peroxisome proliferator-activated receptors (PPARs, NR1C) regulate the expression of many genes involved in ...

    • 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 ...

    • Relative Persistent Homology 

      Blaser, Nello; Brun, Morten (Journal article; Peer reviewed, 2020)
      The alpha complex efficiently computes persistent homology of a point cloud X in Euclidean space when the dimension d is low. Given a subset A of X, relative persistent homology can be computed as the persistent homology ...

    • Relative Persistent Homology 

      Blaser, Nello; Brun, Morten (Journal article; Peer reviewed, 2022)
      The alpha complex efficiently computes persistent homology of a point cloud X in Euclidean space when the dimension d is low. Given a subset A of X, relative Čech persistent homology can be computed as the persistent ...

    • 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 ...

    • Sparse Nerves in Practice 

      Blaser, Nello; Brun, Morten (Peer reviewed; Journal article, 2019)
      Topological data analysis combines machine learning with methods from algebraic topology. Persistent homology, a method to characterize topological features occurring in data at multiple scales is of particular interest. ...