Highlighted publications

  1. Published
  2. Published
  3. Published
  4. Accepted/In press
  5. Published
  6. Published

    An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  7. Human activity recognition with inertial sensors using a deep learning approach

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  1. 2021
  2. Published

    COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization

    Zebin, T. & Rezvy, S., Feb 2021, In : Applied Intelligence. 51, 2, p. 1010–1021 12 p.

    Research output: Contribution to journalArticle

  3. 2020
  4. Published

    Transfer learning for Endoscopy disease detection and segmentation with mask-RCNN benchmark architecture

    Rezvy, S., Zebin, T., Braden, B., Pang, W., Taylor, S. & Gao, X., 2020. 5 p.

    Research output: Contribution to conferencePaper

  5. 2019
  6. Published

    Design and implementation of a convolutional neural network on an edge computing smartphone for human activity recognition

    Zebin, T., Scully, P. J., Peek, N., Casson, A. J. & Ozanyan, K. B., Oct 2019, In : IEEE Access. 7, p. 133509-133520 12 p.

    Research output: Contribution to journalArticle

  7. Published

    A deep learning approach for length of stay prediction in clinical settings from medical records

    Zebin, T., Rezvy, S. & Chaussalet, T., 8 Aug 2019, p. 1-5. 5 p.

    Research output: Contribution to conferencePaper

  8. Published

    Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records

    Zebin, T. & Chaussalet, T. J., 8 Aug 2019, p. 1-5.

    Research output: Contribution to conferencePaper

  9. Published

    An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks

    Rezvy, S., Luo, Y., Petridis, M., Lasebae, A. & Zebin, T., 16 Apr 2019, 2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019. Institute of Electrical and Electronics Engineers Inc., 6 p. 8693059

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  10. Accepted/In press

    Physical activity based classification of serious mental illness group participants in the UK Biobank using ensemble dense neural networks

    Zebin, T., Peek, N. & Casson, A. J., 11 Apr 2019, (Accepted/In press). 4 p.

    Research output: Contribution to conferencePaper

  11. Published

    Intrusion Detection and Classification with Autoencoded Deep Neural Network

    Rezvy, S., Petridis, M., Lasebae, A. & Zebin, T., 6 Feb 2019, Innovative Security Solutions for Information Technology and Communications. Lanet, J-L. & Toma, C. (eds.). Springer, p. 142-156

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  12. 2018
  13. Published
  14. 2017
  15. Evaluation of supervised classification algorithms for human activity recognition with inertial sensors

    Zebin, T., Scully, P. J. & Ozanyan, K. B., 21 Dec 2017, IEEE SENSORS 2017 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-December. p. 1-3 3 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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