• A fitted L-Multi-point Flux Approximation method for pricing options 

  Koffi, Stephane Rock; Tambue, Antoine (Peer reviewed; Journal article, 2021)

  In this paper, we introduce a special kind of finite volume method called Multi-Point Flux Approximation method (MPFA) to price European and American options in two dimensional domain. We focus on the L-MPFA method for ...

• Analytics of high average-utility patterns in the industrial internet of things 

  Wu, Jimmy Ming-Tai; Li, Zhongcui; Srivastava, Gautam; Yun, Unil; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)

  Recently, revealing more valuable information except for quantity value for a database is an essential research field. High utility itemset mining (HAUIM) was suggested to reveal useful patterns by average-utility measure ...

• Virtual and augmented reality in social skills interventions for individuals with autism spectrum disorder: A scoping review 

  Dechsling, Anders; Orm, Stian; Kalandadze, Tamara; Sütterlin, Stefan; Øien, Roald A; Shic, Frederick; Nordahl-Hansen, Anders (Peer reviewed; Journal article, 2021)

  In the last decade, there has been an increase in publications on technology-based interventions for autism spectrum disorder (ASD). Virtual reality based assessments and intervention tools are promising and have shown to ...

• Translation and validation of the Alberta Context Tool for use in Norwegian nursing homes 

  Igland, Jannicke; Potrebny, Thomas; Bendixen, Bente Elisabeth; Haugstvedt, Anne; Espehaug, Birgitte; Titlestad, Kristine Berg; Graverholt, Birgitte (Peer reviewed; Journal article, 2021)

  Purpose Organizational context is recognized as important for facilitating evidence-based practice and improving patient outcomes. Organizational context is a complex construct to measure and appropriate instruments that ...

• MetaComNet: A random forest-based framework for making spatial predictions of plant-pollinator interactions 

  Sydenham, Markus A. K.; Venter, Zander; Reitan, Trond; Rasmussen, Claus; Skrindo, Astrid Brekke; Skoog, Daniel Ingvar Jeuderan; Hanevik, Kaj-Andreas; Hegland, Stein Joar; Dupont, Yoko L.; Nielsen, Anders; Chipperfield, Joseph; Rusch, Graciela (Peer reviewed; Journal article, 2021)

  Predicting plant–pollinator interaction networks over space and time will improve our understanding of how environmental change is likely to impact the functioning of ecosystems. Here we propose a framework for producing ...

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