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Azliza Mohd Ali

Former Research Student

  1. 2018
  2. Published

    Anomalous behaviour detection based on heterogeneous data and data fusion

    Mohd Ali, A. & Angelov, P., 05/2018, In : Soft Computing. 22, 10, p. 3187-3201 15 p.

    Research output: Contribution to journalJournal article

  3. Published

    Anomalous behaviour detection using heterogeneous data

    Mohd Ali, A., 2018, Lancaster University. 159 p.

    Research output: ThesisDoctoral Thesis

  4. 2017
  5. Published

    Gender and Age Classification of Human Faces for Automatic Detection of Anomalous Human Behaviour

    Wang, X., Mohd Ali, A. & Angelov, P. P., 21/06/2017, 2017 IEEE International Conference on Cybernetics, CYBCONF2017. IEEE, p. 1-6 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  6. 2016
  7. Published

    Detecting anomalous behaviour using heterogeneous data

    Mohd Ali, A., Angelov, P. P. & Gu, X., 7/09/2016, Advances in Computational Intelligence Systems: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK. Angelov, P., Gegov, A., Jayne, C. & Shen, Q. (eds.). Springer, p. 253-276 24 p. (Advances in Intelligent Systems and Computing; vol. 513).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  8. Published

    Online evolving fuzzy rule-based prediction model for high frequency trading financial data stream

    Gu, X., Angelov, P. P., Mohd Ali, A., Gruver, W. A. & Gaydadjiev, G., 25/05/2016, Evolving and Adaptive Intelligent Systems (EAIS), 2016 IEEE Conference on. IEEE, p. 169-175 7 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

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