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Professor Plamen Angelov

Professor, Founding member, Director, Funding group lead

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  1. Published

    A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification

    Gu, X., Angelov, P. P. & Soares, E. A., 25/11/2019, In: arXiv.

    Research output: Contribution to Journal/Magazine › Journal article

  2. Published

    A Self-Learning Fuzzy Classifier with Feature Selection for Intelligent interrogation of mid-IR spectroscopy data from exfoliative cervical cytology using selflearning classifier eClass.

    Kelly, J. G., Angelov, P. P., Walsh, M. J., Pollock, H. M., Pitt, M. A., Martin-Hirsch, P. L. & Martin, F. L., 2008, In: International Journal of Computational Intelligence Research. 4, 4, p. 392-401 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. Published

    A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification

    Gu, X., Zhang, C., Shen, Q., Han, J., Angelov, P. & Atkinson, P., 1/04/2022, In: Information Fusion. 80, p. 179-204 26 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. Published

    A Semi-Supervised Deep Rule-Based Approach for Complex Satellite Sensor Image Analysis

    Gu, X., Angelov, P., Zhang, C. & Atkinson, P., 31/05/2022, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44, 5, p. 2281-2292 12 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. Published

    A Semi-Supervised Deep Rule-Based Approach for Remote Sensing Scene Classication

    Gu, X. & Angelov, P. P., 3/04/2019, The 2019 INNS Big Data and Deep Learning (INNSBDDL 2019) conference. Springer, p. 257-266 10 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  6. Published

    A simple fuzzy rule-based system through vector membership and kernel-based granulation.

    Angelov, P. & Yager, R., 9/07/2010, 5th IEEE International Conference Intelligent Systems (IS), 2010 . IEEE, p. 349-354 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  7. Published

    About analytical solving fuzzy mathematical programming problem.

    Angelov, P., 09/1993, Mathematical modelling methodology, software tools, and applications : proceedings of the International Conference on Mathematical Modelling and Scientific Computation, Sozopol, Bulgaria, September 14-18, 1993 . Popova, E. D. (ed.). Sofia: DATECS , 14 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  8. Published

    Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios

    Almeida Soares, E., Angelov, P. P., Costa, B. S. J. & Castro, M., 30/09/2019, 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, p. 1-8 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  9. Published

    Adaptive inferential sensors based on evolving fuzzy models

    Angelov, P. & Kordon, A., 04/2010, In: IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics. 40, 2, p. 529-539 11 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  10. Published

    Adaptive Resilience for Computer Networks

    Ali, A., Hutchison, D., Angelov, P. & Smith, P., 4/10/2012. 0 p.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper

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