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Research

Professor Plamen Angelov

Professor, Founding member, Director, Funding group lead

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  1. 2025
  2. Forthcoming

    Transfer learning from inorganic materials to ivory detection

    Aghasanli, A., Angelov, P., Kangin, D., Kerns, J. & Shepherd, R. F., 15/04/2025, (Accepted/In press) In: Scientific Reports.

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

  3. Published

    IDEAL: Interpretable-by-Design ALgorithms for learning from foundation feature spaces

    Angelov, P., Kangin, D. & Zhang, Z., 14/04/2025, In: Neurocomputing. 626, 129464.

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

  4. Forthcoming

    Prototype-Based Continual Learning with Label-free Replay Buffer and Cluster Preservation Loss

    Aghasanli, A., Li, Y. & Angelov, P., 4/04/2025, (Accepted/In press) Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops.

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

  5. Forthcoming

    Detecting Cross-domain Deepfake Videos with Contrastive Prototype Learning

    Li, Y. & Angelov, P., 31/03/2025, (Accepted/In press) International Joint Conference on Neural Networks.

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

  6. Published

    Demonstrable and anatomy-driven knuckle identification via crease map segmentation

    Vyas, R., Williams, B., Rahmani, H., Boswell-Challand, R., Jiang, Z., Angelov, P. & Black, S., 21/02/2025, In: Signal, Image and Video Processing. 19, 4, 318.

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

  7. 2024
  8. Published

    Adversarial Attack Detection via Fuzzy Predictions

    Li, Y., Angelov, P. & Suri, N., 31/12/2024, In: IEEE Transactions on Fuzzy Systems. 32, 12, p. 7015-7024 10 p.

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

  9. Published

    An explainable approach to deep learning from CT-scans for Covid identification

    Soares, E., Angelov, P. & Zhang, Z., 31/12/2024, In: Evolving Systems. 15, 6, p. 2159-2168 10 p.

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

  10. Published

    Quantum Face Recognition with Multi-Gate Quantum Convolutional Neural Network

    Zhu, Y., Bouridane, A., Celebi, M. E., Konar, D., Angelov, P., Ni, Q. & Jiang, R., 31/12/2024, In: IEEE Transactions on Artificial Intelligence. 5, 12, p. 6330-6341 12 p.

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

  11. Forthcoming

    Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement

    Li, Y., Sun, Y. & Angelov, P., 9/12/2024, (Accepted/In press) Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence. Philadelphia: AAAI

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

  12. Published

    Self-Supervised Representation Learning for Adversarial Attack Detection

    Li, Y., Angelov, P. & Suri, N., 26/11/2024, Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part I. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Cham: Springer, p. 236-252 18 p. (Lecture Notes in Computer Science; vol. 15118).

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

  13. Forthcoming

    Explainable Audio-Visual Representation Learning via Prototypical Contrastive Masked Autoencoder

    Li, Y. & Angelov, P., 15/11/2024, (Accepted/In press) The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NIPS).

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

  14. Forthcoming

    Robust Self-Supervised Learning for Adversarial Attack Detection

    Li, Y., Angelov, P. & Suri, N., 15/11/2024, (Accepted/In press) The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NIPS).

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

  15. Forthcoming

    Vision-based Landing Guidance through Tracking and Orientation Estimation

    Ferreira, J., Pinto, J., Moura, J., Li, Y., Castro, C. & Angelov, P., 28/10/2024, (Accepted/In press) IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

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

  16. Published

    UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification

    Lopez Pellicer, A., Giatgong, K., Li, Y., Suri, N. & Angelov, P., 9/09/2024, 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 8 p.

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

  17. E-pub ahead of print

    Rethinking Self-Supervised Learning for Cross-Domain Adversarial Sample Recovery

    Li, Y., Angelov, P. & Suri, N., 30/06/2024, (E-pub ahead of print) 2024 International Joint Conference on Neural Networks (IJCNN). IEEE

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

  18. Forthcoming

    Federated Adversarial Learning for Robust Autonomous Landing Runway Detection

    Li, Y., Angelov, P., Yu, Z., Lopez Pellicer, A. & Suri, N., 4/06/2024, (Accepted/In press) International Conference on Artificial Neural Networks (ICANN).

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

  19. Published

    IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data

    Zhang, Z., Angelov, P., Kangin, D. & Longepe, N., 13/05/2024, Arxiv.

    Research output: Working paper › Preprint

  20. Published

    Unsupervised Domain Adaptation within Deep Foundation Latent Spaces

    Kangin, D. & Angelov, P., 11/05/2024.

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

  21. 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/Magazine › Journal article › peer-review

  22. 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/Magazine › Journal article › peer-review

  23. Forthcoming

    PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection

    Lopez Pellicer, A., Li, Y. & Angelov, P., 6/03/2024, (Accepted/In press). 9 p.

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

  24. 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/Magazine › Journal article › peer-review

  25. 2023
  26. Published

    Towards interpretable-by-design deep learning algorithms

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

    Research output: Working paper › Preprint

  27. E-pub ahead of print

    Deep orientated distance-transform network for geometric-aware centerline detection

    Jiang, Z., Rahmani, H., Angelov, P., Vyas, R., Zhou, H., Black, S. & Williams, B., 18/10/2023, (E-pub ahead of print) In: Pattern Recognition. 146, 110028.

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

  28. 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/ISSN › Conference contribution/Paper › peer-review

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