• Deepfakes: current and future trends 

      Gambín, Ángel Fernández; Yazidi, Anis; Vasilakos, Athanasios; Haugerud, Hårek; Djenouri, Youcef (Peer reviewed; Journal article, 2024)
      Advances in Deep Learning (DL), Big Data and image processing have facilitated online disinformation spreading through Deepfakes. This entails severe threats including public opinion manipulation, geopolitical tensions, ...
    • A graph neural approach for group recommendation system based on pairwise preferences 

      Abolghasemi, Roza; Viedma, Enrique Herrera; Engelstad, Paal E.; Djenouri, Youcef; Yazidi, Anis (Peer reviewed; Journal article, 2024)
      Pairwise preference information, which involves users expressing their preferences by comparing items, plays a crucial role in decision-making and has recently found application in recommendation systems. In this study, ...
    • Predicting an unstable tear film through artificial intelligence 

      Fineide, Fredrik; Storås, Andrea; Chen, Xiangjun; Magnø, Morten Schjerven; Yazidi, Anis; Riegler, Michael; Utheim, Tor Paaske (Peer reviewed; Journal article, 2022)
      Dry eye disease is one of the most common ophthalmological complaints and is defined by a loss of tear film homeostasis. Establishing a diagnosis can be time-consuming, resource demanding and unpleasant for the patient. ...
    • Using the concept of data enclosing tunnel as an online feedback tool for simulator training 

      Marcano, Laura; Yazidi, Anis; Manca, Davide; Komulainen, Tiina M. (Journal article; Peer reviewed, 2018)
      Feedback is one of the key factors that makes industrial simulator training an effective learning tool. Usually, the trainees receive feedback from the instructor, who guides them through the simulation tasks. However, ...