• Advancing Ocean Observation with an AI-driven Mobile Robotic Explorer 

    Saad, Aya; Stahl, Annette; Våge, Andreas; Davies, Emlyn John; Nordam, Tor; Aberle-Malzahn, Nicole; Ludvigsen, Martin; Johnsen, Geir; Sousa, João; Rajan, Kanna (Journal article; Peer reviewed, 2020)
    Rapid assessment and enhanced knowledge of plankton communities and their structure in the productive upper water column is of crucial importance to understand the impact of the changing climate on upper ocean processes. ...
  • Robust Modelling of Additive and Non-additive Variation with Intuitive Inclusion of Expert Knowledge 

    Hem, Ingeborg Gullikstad; Selle, Maria; Gorjanc, Gregor; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg (Peer reviewed; Journal article, 2020)
    We propose a novel Bayesian approach that robustifies genomic modeling by leveraging expert knowledge (EK) through prior distributions. The central component is the hierarchical decomposition of phenotypic variation into ...
  • Vegetation response to climate warming across the forest–tundra ecotone: species-dependent upward movement 

    Løkken, Jørn Olav; Evju, Marianne; Söderström, Lars; Hofgaard, Eli Annika (Peer reviewed; Journal article, 2020)
    Questions Rising temperatures are predicted to cause upward shifts and reorganisation of mountain vegetation. This study analyses how field layer vegetation across the forest–tundra ecotone has responded over a 22‐year ...
  • Overview of retrospective data harmonisation in the MINDMAP project: process and results 

    Wey, Tina; Doiron, Dany; Wissa, Rita; Fabre, Guillaume; Motoc, Irina; Noordzij, Mark; Ruiz, Milagros; Timmermans, Erik; van Lenthe, Frank J; Bobak, Martin; Chaix, Basile; Krokstad, Steinar; Raina, Parminder; Sund, Erik; Beenackers, Mariëlle A.; Fortier, Isabel (Peer reviewed; Journal article, 2020)
    Background The MINDMAP project implemented a multinational data infrastructure to investigate the direct and interactive effects of urban environments and individual determinants of mental well-being and cognitive function ...
  • Evolutionary community discovery in dynamic social networks via resistance distance 

    Li, Weimin; Zhu, Heng; Li, Shaohua; Wang, Hao; Dai, Hong-Ning; Wang, Can; Jin, Qun (Peer reviewed; Journal article, 2021)
    Traditional social community discovery methods concentrate mainly on static social networks, but the analysis of dynamic networks is a prerequisite for real-time and personalized social services. Through the study of ...

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