• Digital Consumer Health: Negotiating Multiple Voices in the Clinical Consultation 

    Lea, Kjersti Elisabet; Hjørleifsson, Stefan; Swinglehurst, Deborah (Journal article; Peer reviewed, 2021)
    In this paper, we explore what may happen when people who are ostensibly “well” bring data from digital self-tracking technologies to medical consultations. On the basis of a fictional case narrative, we explore how multiple ...
  • Persist in place or shift in space? Evaluating the adaptive capacity of species to climate change 

    Thurman, Lindsey; Stein, Bruce; Beever, Erik; Foden, Wendy B.; Geange, Sonya Rita; Green, Nancy; Gross, John; Lawrence, David; LeDee, Olivia; Olden, Julian; Thompson, Laura; Young, Bruce (Journal article; Peer reviewed, 2020)
    Assessing the vulnerability of species to climate change serves as the basis for climate-adaptation planning and climate-smart conservation, and typically involves an evaluation of exposure, sensitivity, and adaptive ...
  • Exceptionally Warm and Prolonged Flow of Warm Deep Water Toward the Filchner‐Ronne Ice Shelf in 2017 

    Ryan, Svenja; Hellmer, Hartmut H.; Janout, Markus; Darelius, Elin Maria K.; Schröder, Michael; Vignes, Lucie (Journal article; Peer reviewed, 2020)
    The Filchner-Ronne Ice Shelf, fringing the southern Weddell Sea, is Antarctica's second largest ice shelf. At present, basal melt rates are low due to active dense water formation; however, model projections suggest a ...
  • Improving Radar-Based Precipitation Nowcasts with Machine Learning Using an Approach Based on Random Forest 

    Mao, Yiwen; Sorteberg, Asgeir (Journal article; Peer reviewed, 2020)
    A binary classification model is trained by random forest using data from 41 stations in Norway to predict the precipitation in a given hour. The predictors consist of results from radar nowcasts and numerical weather ...
  • Kvasir-Capsule, a video capsule endoscopy dataset 

    Smedsrud, Pia H; Thambawita, Vajira L B; Hicks, Steven; Gjestang, Henrik; Olsen Nedrejord, Oda; Næss, Espen; Borgli, Hanna; Jha, Debesh; Berstad, Tor Jan; Eskeland, Sigrun Losada; Lux, Mathias; Espeland, Håvard; Petlund, Andreas; Dang Nguyen, Duc Tien; Garcia, Enrique; Johansen, Dag; Schmidt, Peter Thelin; Toth, Ervin; Hammer, Hugo Lewi; de Lange, Thomas; Riegler, Michael Alexander; Halvorsen, Pål (Journal article; Peer reviewed, 2021)
    Artificial intelligence (AI) is predicted to have profound effects on the future of video capsule endoscopy (VCE) technology. The potential lies in improving anomaly detection while reducing manual labour. Existing work ...

View more