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Professor Plamen Angelov

Professor, Founding member, Director, Funding group lead

  1. 2022
  2. Published

    Person Identification from Fingernails and Knuckles Images using Deep Learning Features and the Bray-Curtis Similarity Measure

    Alghamdi, M., Angelov, P. & Lopez Pellicer, A., 7/11/2022, In: Neurocomputing. 513, p. 83-93 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Published

    Self-Organizing Fuzzy Belief Inference System for Classification

    Gu, X., Angelov, P. & Shen, Q., 31/12/2022, In: IEEE Transactions on Fuzzy Systems. 30, 12, p. 5473-5483 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. 2023
  5. Published

    An Interpretable Deep Semantic Segmentation Method for Earth Observation

    Zhang, Z., Angelov, P., Almeida Soares, E., Longepe, N. & Mathieu, P. P., 25/01/2023, 2022 IEEE 11th International Conference on Intelligent Systems (IS). Atanassov, K. T., Doukovska, L., Kacprzyk, J., Krawczak, M., Owsinski, J. W., Sgurev, V., Szmidt, E. & Zadrozny, S. (eds.). IEEE, p. 1-8 8 p. (2022 IEEE 11th International Conference on Intelligent Systems (IS)).

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

  6. Published

    Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks

    Almeida Soares, E., Angelov, P. & Suri, N., 30/01/2023, Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022. Ishibuchi, H., Kwoh, C-K., Tan, A-H., Srinivasan, D., Miao, C., Trivedi, A. & Crockett, K. (eds.). IEEE, p. 1028-1035 8 p. (Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022).

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

  7. Published

    An Improved eXplainable Point Cloud Classifier (XPCC)

    Arnold, N., Angelov, P. & Atkinson, P., 1/02/2023, In: IEEE Transactions on Artificial Intelligence. 4, 1, p. 71-80 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Published

    PPFM: An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework

    Yu, Z., Lu, Y., Angelov, P. & Suri, N., 29/03/2023, 2022 18th International Conference on Mobility, Sensing and Networking (MSN). IEEE, p. 502-509 8 p.

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

  9. E-pub ahead of print

    Multilayer Evolving Fuzzy Neural Networks

    Gu, X., Angelov, P., Han, J. & Shen, Q., 16/05/2023, (E-pub ahead of print) In: IEEE Transactions on Fuzzy Systems. p. 1-12 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. Published

    Delve into Neural Activations: Towards Understanding Dying Neurons

    Jiang, Z., Wang, Y., Li, C-T., Angelov, P. & Jiang, R., 1/08/2023, In: IEEE Transactions on Artificial Intelligence. 4, 4, p. 959-971 13 p., 4.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. Published

    Domain Generalization and Feature Fusion for Cross-domain Imperceptible Adversarial Attack Detection

    Li, Y., Angelov, P. & Suri, N., 2/08/2023, 2023 International Joint Conference on Neural Networks (IJCNN). Gold Coast, Australia: IEEE, 8 p.

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

  12. Published

    Autonomous learning for fuzzy systems: a review

    Gu, X., Han, J., Shen, Q. & Angelov, P. P., 31/08/2023, In: Artificial Intelligence Review. 56, 8, p. 7549-7595 47 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  13. Forthcoming

    Fuzzy Detectors Against Adversarial Attacks

    Li, Y., Angelov, P. & Suri, N., 15/09/2023, (Accepted/In press) IEEE Symposium Series on Computational Intelligence. Mexico, 5 p.

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

  14. Published

    Interpretable-Through-Prototypes Deepfake Detection for Diffusion Models

    Aghasanli, A., Kangin, D. & Angelov, P., 2/10/2023, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023. Computer Vision Foundation, p. 467-474 8 p.

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

  15. Published

    Towards interpretable-by-design deep learning algorithms

    Angelov, P., Kangin, D. & Zhang, Z., 19/11/2023, Arxiv.

    Research output: Working paperPreprint

  16. 2024
  17. E-pub ahead of print

    Marine Debris Detection in Satellite Surveillance using Attention Mechanisms

    Shen, A., Zhu, Y., Angelov, P. & Jiang, R., 3/01/2024, (E-pub ahead of print) In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17, p. 4320-4330 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  18. Published

    A large multiclass dataset of CT scans for COVID-19 identification

    Almeida Soares, E., Angelov, P., Biaso, S., Froes, M. H. & Abe, D. K., 1/04/2024, In: Evolving Systems. 15, 1, p. 635–640 5 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  19. Published

    Semi-Supervised Fuzzily Weighted Adaptive Boosting for Classification

    Gu, X., Angelov, P. P. & Shen, Q., 1/04/2024, In: IEEE Transactions on Fuzzy Systems. 32, 4, p. 2318 - 2330 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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