• 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, ...
    • Enhancing smart road safety with federated learning for Near Crash Detection to advance the development of the Internet of Vehicles 

      Djenouri, Youcef; Belbachir, Nabil; Michalak, Tomasz; Belhadi, Asma; Srivastava, Gautam (Peer reviewed; Journal article, 2024)
      We introduce an innovative methodology for the identification of vehicular collisions within Internet of Vehicles (IoV) applications. This approach combines a knowledge base system with deep learning for model selection ...
    • Federated Constrastive Learning and Visual Transformers for Personal Recommendation 

      Belhadi, Asma; Djenouri, Youcef; Andrade, Fabio Augusto de Alcantara; Srivastava, Gautam (Peer reviewed; Journal article, 2024)
      This paper introduces a novel solution for personal recommendation in consumer electronic applications. It addresses, on the one hand, the data confidentiality during the training, by exploring federated learning and trusted ...
    • 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, ...
    • An intelligent collaborative image-sensing system for disease detection 

      Djenouri, Youcef; Belhadi, Asma; Yazidi, Anis; Srivastava, Gautam; Chatterjee, Pushpita; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2023)
      In this paper we introduce a novel framework for disease detection. The framework is based on intelligent agents where each agent studies the interaction among the different medical data observations using reinforcement ...
    • Interpretable intrusion detection for next generation of Internet of Things 

      Djenouri, Youcef; Belhadi, Asma; Srivastava, Gautam; Lin, Jerry Chun-Wei; Yazidi, Anis (Peer reviewed; Journal article, 2023)
      This paper presents a new framework for intrusion detection in the next-generation Internet of Things. MinMax normalization strategy is used to collect and preprocess data. The Marine Predator algorithm is then used to ...
    • Social Web in IoT: Can Evolutionary Computation and Clustering Improve Ontology Matching for Social Web of Things? 

      Belhadi, Asma; Djenouri, Djamel; Djenouri, Youcef; Belbachir, Nabil; Srivastava, Gautam (IEEE Transactions on Computational Social Systems;, Peer reviewed; Journal article, 2023)
      Many Internet of Things (IoT) applications can benefit from Social Web of Things (S-WoT) methods that enable knowledge discovery and help solving interoperability problems. The semantic modeling of S-WoT is the main emphasis ...
    • Spatio-temporal visual learning for home-based monitoring 

      Djenouri, Youcef; Belbachir, Nabil; Cano, Alberto; Belhadi, Asma (Peer reviewed; Journal article, 2024)
      This paper introduces a novel concept for Home-based Monitoring (HM) that enables robust analysis and understanding of activities towards improved caring and safety. Spatio-Temporal Visual Learning for HM (STVL-HM) is a ...