Blar i ODA Open Digital Archive på forfatter "Viedma, Enrique Herrera"

Viser treff 1-4 av 4

    • DoS and DDoS mitigation using Variational Autoencoders 

      Bårli, Eirik Molde; Yazidi, Anis; Viedma, Enrique Herrera; Haugerud, Hårek (Computer Networks;Volume 199, 9 November 2021, 108399, Peer reviewed; Journal article, 2021-09-01)
      DoS and DDoS attacks have been growing in size and number over the last decade and existing solutions to mitigate these attacks are largely inefficient. Compared to other types of malicious cyber attacks, DoS and DDoS ...

    • 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, ...

    • A new decision making model based on Rank Centrality for GDM with fuzzy preference relations 

      Yazidi, Anis; Ivanovska, Magdalena; Zennaro, Fabio Massimo; Lind, Pedro; Viedma, Enrique Herrera (European Journal of Operational Research;Volume 297, Issue 3, Peer reviewed; Journal article, 2021-06-01)
      Preference aggregation in Group Decision Making (GDM) is a substantial problem that has received a lot of research attention. Decision problems involving fuzzy preference relations constitute an important class within GDM. ...

    • Predicting missing pairwise preferences from similarity features in group decision making 

      Abolghasemi, Roza; Khadka, Rabindra; Lind, Pedro; Engelstad, Paal E.; Viedma, Enrique Herrera; Yazidi, Anis (Knowledge-Based Systems;Volume 256, 28 November 2022, 109860, Peer reviewed; Journal article, 2022)
      In group decision-making (GDM), fuzzy preference relations (FPRs) refer to pairwise preferences in the form of a matrix. Within the field of GDM, the problem of estimating missing values is of utmost importance, since many ...