Search for dissertations about: "Thashmee Karunaratne"

Found 3 swedish dissertations containing the words Thashmee Karunaratne.

  2. 1. Graph Propositionalization for Learning from Structured Data

    Author : Thashmee Karunaratne; Stockholms universitet; []
    Keywords : data- och systemvetenskap; Computer and Systems Sciences;

    Abstract : Learning from structured data is challenging in terms of learning concepts, patterns or relations hidden within the structured data. The state-of-the-art methods include logic based approaches and graph based approaches. READ MORE

  4. 2. Learning predictive models from graph data using pattern mining

    Author : Thashmee M. Karunaratne; Henrik Boström; Lars Asker; Nada Lavraˇc; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Graph Data; Pattern Mining; Classification; Regression; Predictive Models; Computer and Systems Sciences; data- och systemvetenskap;

    Abstract : Learning from graphs has become a popular research area due to the ubiquity of graph data representing web pages, molecules, social networks, protein interaction networks etc. However, standard graph learning approaches are often challenged by the computational cost involved in the learning process, due to the richness of the representation. READ MORE

  5. 3. Distributed Intelligence for IoT Systems Using Edge Computing

    Author : Ramin Firouzi; Rahim Rahmani; Thashmee Karunaratne; Sadok Ben Yahia; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Internet of Things IoT ; Edge Computing; Distributed Intelligence; Software Defined Networking SDN ; Federated Learning; 5G; O-RAN; Network Slicing; Reinforcement Learning; data- och systemvetenskap; Computer and Systems Sciences;

    Abstract : Over the past decade, the Internet of Things (IoT) has undergone a paradigm shift away from centralized cloud computing to edge computing. Hundreds of billions of things are estimated to be deployed in the rapidly advancing IoT paradigm, resulting in an enormous amount of data. READ MORE