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    Accepting PhD Students

    PhD projects

    Machine Learning, Deep Learning, Domain Adaptation, Variational Inference

    • 104 Citations
    20132020

    Research output per year

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    Personal profile

    External positions

    External Examiner on MSc in Applied AI, Cranfield University

    1 Sep 2019 → …

    External Examiner on BSc in Computer Science, University of Hull

    1 Sep 2017 → …

    Area of Expertise

    • Computer Sciences and Informatics
    • Machine Learning
    • Deep Learning
    • Variational Inference

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    Research Output

    Deep Bayesian Self-Training

    Ribeiro, F. D. S., Calivá, F., Swainson, M., Gudmundsson, K., Leontidis, G. & Kollias, S., 2020, In : Neural Computing and Applications. 32, p. 4275-4291 17 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 1 Downloads (Pure)

    Imputation of missing sub-hourly precipitation data in a large sensor network: a machine learning approach

    Chivers, B., Wallbank, J., Cole, S., Sebek, O., Stanley, S., Fry, M. & Leontidis, G., 30 May 2020, In : Journal of Hydrology. 588, 12 p., 125126.

    Research output: Contribution to journalArticle

  • 3D convolutional and recurrent neural networks for reactor perturbation unfolding and anomaly detection

    Durrant, A., Leontidis, G. & Kollias, S., 2019, In : EPJ Nuclear Sciences & Technologies. 5, 9 p., 20.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 3 Downloads (Pure)

    Are Distributed Ledger Technologies the panacea for food traceability?

    Pearson, S., May, D., Leontidis, G., Swainson, M., Brewer, S., Bidaut, L., Frey, J. G., Parr, G., Maull, R. & Zisman, A., Mar 2019, In : Global Food Security. 20, p. 145-149 5 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 18 Citations (Scopus)
    2 Downloads (Pure)

    Nemesyst: A hybrid parallelism deep learning-based framework applied for internet of things enabled food retailing refrigeration systems

    Onoufriou, G., Bickerton, R., Pearson, S. & Leontidis, G., Dec 2019, In : Computers in Industry. 113, 11 p., 103133.

    Research output: Contribution to journalArticle

  • Activities

    • 2 Membership of peer review panel or committee
    • 1 Invited talk

    UKRI Future Leaders Fellowship - Round 2 sift panel (Event)

    Georgios Leontidis (Member)

    May 2019

    Activity: Membership (e.g. panels, networks, committees, etc.)Membership of peer review panel or committee

    3D convolutional and recurrent neural networks in reactor perturbations unfolding and anomaly detection

    Georgios Leontidis (Speaker)

    14 Feb 2019

    Activity: Talk, presentation, public lecture, public engagement, outreach and knowledge exchangeInvited talk

    Member of the Interview Panel - UKRI Future Leaders Fellowship Round 2 (Event)

    Georgios Leontidis (Member)

    Jun 2019

    Activity: Membership (e.g. panels, networks, committees, etc.)Membership of peer review panel or committee

    Prizes