Blar i Department of Information Science and Media Studies på tidsskrift "IEEE Access"

Viser treff 1-5 av 5

    • Adaptive Systems for Internet-Delivered Psychological Treatments 

      Mukhiya, Suresh Kumar; Wake, Jo Dugstad; Inal, Yavuz; Lamo, Yngve (Journal article; Peer reviewed, 2020)
      Internet-Delivered Psychological Treatments (IDPT) are based on evidence-based psychological treatment models adjusted for interaction through the Internet. The use of Internet technologies has the potential to increase ...

    • Analysis and Design of Computational News Angles 

      Motta, Enrico; Daga, Enrico; Opdahl, Andreas Lothe; Tessem, Bjørnar (Journal article; Peer reviewed, 2020)
      A key skill for a journalist is the ability to assess the newsworthiness of an event or situation. To this purpose journalists often rely on news angles, conceptual criteria that are used both i) to assess whether something ...

    • Extremely Randomized Trees With Privacy Preservation for Distributed Structured Health Data 

      Aminifar, Amin; Matin, Shokri; Rabbi, Fazle; Pun, Violet Ka I; Lamo, Yngve (Journal article; Peer reviewed, 2022)
      Artificial intelligence and machine learning have recently attracted considerable attention in the healthcare domain. The data used by machine learning algorithms in healthcare applications is often distributed over multiple ...

    • Morphological filter detector for image forensics applications 

      Boato, Giulia; Dang Nguyen, Duc Tien; De Natale, Francesco G.B. (Journal article; Peer reviewed, 2020)
      Mathematical morphology provides a large set of powerful non-linear image operators, widely used for feature extraction, noise removal or image enhancement. Although morphological filters might be used to remove artifacts ...

    • Named Entity Extraction for Knowledge Graphs: A Literature Overview 

      Al-Moslmi, Tareq Abdo Abdullah; Gallofré Ocaña, Marc; Opdahl, Andreas Lothe; Veres, Csaba (Journal article; Peer reviewed, 2020)
      An enormous amount of digital information is expressed as natural-language (NL) text that is not easily processable by computers. Knowledge Graphs (KG) offer a widely used format for representing information in ...