Publicaciones en colaboración con investigadores/as de University of Oslo (9)

2022

  1. A comparative study on online machine learning techniques for network traffic streams analysis

    Computer Networks

  2. Active Learning for Network Traffic Classification: A Technical Study

    IEEE Transactions on Cognitive Communications and Networking, Vol. 8, Núm. 1, pp. 422-439

  3. FLITC: A Novel Federated Learning-Based Method for IoT Traffic Classification

    Proceedings - 2022 IEEE International Conference on Smart Computing, SMARTCOMP 2022

2021

  1. Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey

    Computer Communications, Vol. 170, pp. 19-41

  2. Deep Reinforcement Learning for QoS provisioning at the MAC layer: A Survey

    Engineering Applications of Artificial Intelligence

  3. Internet Traffic Classification Using an Ensemble of Deep Convolutional Neural Networks

    FlexNets 2021 - Proceedings of the 4th FlexNets Workshop on Flexible Networks, Artificial Intelligence Supported Network Flexibility and Agility, Part of SIGCOMM 2021

  4. Synchronization Techniques in “Device to Device- and Vehicle to Vehicle-Enabled” Cellular Networks: A survey

    Computers and Electrical Engineering, Vol. 90