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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

  29. Forthcoming

    Fuzzy Detectors Against Adversarial Attacks

    Li, Y., Angelov, P. & Suri, N., 15/09/2023, (Accepted/In press) 2023 IEEE Symposium Series on Computational Intelligence. Mexico: IEEE, p. 306-311 6 p.

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

  30. 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/Magazine › Journal article › peer-review

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

  32. 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/Magazine › Journal article › peer-review

  33. Published

    On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork JAAMAS Track

    do Carmo Alves, M. A., Yourdshahi, E. S., Varma, A., Marcolino, L. S., Ueyama, J. & Angelov, P., 30/05/2023, Proceedings of AAMAS-2023. New York: ACM, Vol. 2023-May. p. 140-142 3 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

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

  34. 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/Magazine › Journal article › peer-review

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

  36. 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/Magazine › Journal article › peer-review

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

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

  39. 2022
  40. 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/Magazine › Journal article › peer-review

  41. Published

    Multi-Branch with Attention Network for Hand-Based Person Recognition

    Baisa, N. L., Williams, B., Rahmani, H., Angelov, P. & Black, S., 29/11/2022, 2022 26th International Conference on Pattern Recognition, ICPR 2022. IEEE, p. 727-732 6 p. (Proceedings - International Conference on Pattern Recognition; vol. 2022-August).

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

  42. 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/Magazine › Journal article › peer-review

  43. Published

    An Interpretable Deep Semantic Segmentation Method for Earth Observation.

    Zhang, Z., Angelov, P., Soares, E., Longépé, N. & Mathieu, P.-P., 23/10/2022, In: arXiv. abs/2210.12820

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

  44. Published

    Graph-context Attention Networks for Size-varied Deep Graph Matching

    Jiang, Z., Rahmani, H., Angelov, P., Black, S. & Williams, B., 27/09/2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE, p. 2333-2342 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

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

  45. Published

    Artificial Neural Networks and Machine Learning – ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part I

    Pimenidis, E. (Editor), Angelov, P. (Editor), Jayne, C. (Editor), Papaleonidas, A. (Editor) & Aydin, M. (Editor), 6/09/2022, Cham: Springer. 761 p. (Lecture Notes in Computer Science; vol. 13529)

    Research output: Book/Report/Proceedings › Proceedings

  46. Published

    Artificial Neural Networks and Machine Learning – ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part II

    Pimenidis, E. (Editor), Angelov, P., Jayne, C. (Editor), Papaleonidas, A. & Aydin, M., 6/09/2022, Cham: Springer. 813 p. (Lecture Notes in Computer Science ; vol. 13530)

    Research output: Book/Report/Proceedings › Proceedings

  47. Published

    Artificial Neural Networks and Machine Learning – ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part III

    Pimenidis, E., Angelov, P., Jayne, C., Papaleonidas, A. & Aydin, M., 6/09/2022, Cham: Springer. 813 p. (Lecture Notes in Computer Science; vol. 13531)

    Research output: Book/Report/Proceedings › Proceedings

  48. Published

    Artificial Neural Networks and Machine Learning – ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings; Part IV

    Pimenidis, E. (Editor), Angelov, P. (Editor), Jayne, C. (Editor), Papaleonidas, A. (Editor) & Aydin, M. (Editor), 6/09/2022, Cham: Springer. 795 p. (Lecture Notes in Computer Science; vol. 13532)

    Research output: Book/Report/Proceedings › Proceedings

  49. Published

    Multi-Class Fuzzily Weighted Adaptive Boosting-based Self-Organizing Fuzzy Inference Ensemble Systems for Classification

    Gu, X. & Angelov, P., 1/09/2022, In: IEEE Transactions on Fuzzy Systems. 30, 9, p. 3722-3735 14 p.

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

  50. Published

    Multiclass Fuzzily Weighted Adaptive-Boosting-Based Self-Organizing Fuzzy Inference Ensemble Systems for Classification

    Gu, X. & Angelov, P. P., 1/09/2022, In: IEEE Transactions on Fuzzy Systems. 30, 9, p. 3722-3735 14 p.

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

  51. Published

    On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork

    Shafipour Yourdshahi, E., do Carmo Alves, M. A., Varma, A., Soriano Marcolino, L., Ueyama, J. & Angelov, P., 13/08/2022, In: Autonomous Agents and Multi-Agent Systems. 36, 45.

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

  52. Published

    Statistically Evolving Fuzzy Inference System for Non-Gaussian Noises

    Yang, Z. X., Rong, H.-J., Angelov, P. & Yang, Z. X., 31/07/2022, In: IEEE Transactions on Fuzzy Systems. 30, 7, p. 2649 - 2664 16 p.

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

  53. Published

    A multistream deep rule-based ensemble system for aerial image scene classification

    Gu, X. & Angelov, P. P., 29/06/2022, Deep Learning, Intelligent Control and Evolutionary Computation. Angelov, P. (ed.). World Scientific Publishing Co., Vol. 2. p. 661-695 35 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

  54. Published

    Handbook on computer learning and intelligence

    Angelov, P. P., 29/06/2022, Explainable AI and Supervised Learning; Deep Learning, Intelligent Control and Evolutionary Computation. Angelov, P. (ed.). Singapore: World Scientific Publishing Co., Vol. 1-2. p. 1-1056 1056 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

  55. Published

    Preface

    Angelov, P., Papadopoulos, G. A., Castellano, G., Casalino, G., Lughofer, E. & Leite, D., 6/06/2022, 2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS). IEEE, Vol. 2022-May. (IEEE Conference on Evolving and Adaptive Intelligent Systems).

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

  56. Published

    Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning

    Baisa, N. L., Williams, B., Rahmani, H., Angelov, P. & Black, S., 2/06/2022, 2022 11th International Conference on Image Processing Theory, Tools and Applications, IPTA 2022. Institute of Electrical and Electronics Engineers Inc., p. 1-6 6 p. (2022 11th International Conference on Image Processing Theory, Tools and Applications, IPTA 2022).

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

  57. 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

  58. Published

    Editorial: Special issue on recent progress in autonomous machine learning

    Pratama, M., Lughofer, E. & Angelov, P. P., 31/05/2022, In: Information Sciences. 595, p. 195-196 2 p.

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

  59. 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

  60. Published

    A Novel Multiple Feature-based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine

    Yang, Z. X., Rong, H.-J., Wong, P. K., Angelov, P., Vong, C. M., Chiu, C. W. & Yang, Z.-X., 31/03/2022, In: Cognitive Computation. 14, 2, p. 828-851 24 p.

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

  61. Published

    Ensemble-Based Bounding Box Regression for Enhanced Knuckle Localization

    Vyas, R., Williams, B. M., Rahmani, H., Boswell-Challand, R., Jiang, Z., Angelov, P. & Black, S., 17/02/2022, In: Sensors. 22, 4, 18 p., 1569.

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

  62. Published

    Automated Person Identification Framework Based on Fingernails and Dorsal Knuckle Patterns

    Alghamdi, M., Angelov, P. & Williams, B., 24/01/2022, 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 8 p.

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

  63. 2021
  64. Published

    Detecting and Learning from Unknown by Extremely Weak Supervision: eXploratory Classifier (xClass)

    Angelov, P. & Almeida Soares, E., 30/11/2021, In: Neural Computing and Applications. 33, 22, p. 15145-15157 13 p.

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

  65. Published

    Particle Swarm Optimized Autonomous Learning Fuzzy System

    Gu, X., Shen, Q. & Angelov, P., 30/11/2021, In: IEEE Transactions on Cybernetics. 51, 11, p. 5352-5363 12 p.

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

  66. Published

    Stochastic Computing co-processing elements for Evolving Autonomous Data Partitioning

    Moran, A., Canals, V., Angelov, P. P., Frasser, C. F., Skibinsky-Gitlin, E. S., Font, J., Isern, E., Roca, M. & Rossello, J. L., 24/11/2021, 36th Conference on Design of Circuits and Integrated Systems, DCIS 2021. IEEE, p. 1-6 6 p. (36th Conference on Design of Circuits and Integrated Systems, DCIS 2021).

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

  67. Published

    RADNN: ROBUST TO IMPERCEPTIBLE ADVERSARIAL ATTACKS DEEP NEURAL NETWORK

    Almeida Soares, E. & Angelov, P., 30/09/2021, In: TechRxiv. p. 1 7 p.

    Research output: Contribution to Journal/Magazine › Journal article

  68. Published

    Explainable artificial intelligence: an analytical review

    Angelov, P., Almeida Soares, E., Jiang, R., Arnold, N. & Atkinson, P., 1/09/2021, In: WIREs Data Mining and Knowledge Discovery. 11, 5, 13 p., e1424.

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

  69. Published

    Explaining Deep Learning Models Through Rule-Based Approximation and Visualization

    Almeida Soares, E., Angelov, P., Costa, B., Castro, M., Nageshrao, S. & Filev, D., 31/08/2021, In: IEEE Transactions on Fuzzy Systems. 29, 8, p. 2399-2407 9 p.

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

  70. Published

    Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World

    Firouzi, F., Farahani, B., Daneshmand, M., Grise, K., Song, J., Saracco, R., Wang, L. L., Lo, K., Angelov, P., Almeida Soares, E., Po-Shen Loh, Talebpour, Z., Moradi, R., Mohsen Goodarzi, Haleh Ashraf, Mohammad Talebpour, Alireza Talebpour, Luca Romeo, Rupam Das & Hadi Heidari & 12 others, Dana Pasquale, James Moody, James Moodys, Chris Woods, Erich S. Huang, Payam Barnaghi, Sarrafzadeh, M., Ron Li, Kristen L Beck, Olexandr Isayev, Nakmyoung Sung & Alan Luo, 31/08/2021, In: IEEE Internet of Things Journal. 8, 16, p. 12826-12846 21 p.

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

  71. Published

    Multi-Branch with Attention Network for Hand-Based Person Recognition.

    Baisa, N. L., Williams, B. M., Rahmani, H., Angelov, P. P. & Black, S., 4/08/2021, In: arXiv. abs/2108.02234

    Research output: Contribution to Journal/Magazine › Journal article

  72. Published

    Robust End-to-End Hand Identification via Holistic Multi-Unit Knuckle Recognition

    Vyas, R., Rahmani, H., Boswell-Challand, R., Angelov, P., Black, S. & Williams, B., 4/08/2021, International Joint Conference on Biometrics (IJCB-2021). Shenzhen, China: IEEE, p. 1-8 8 p. 9484356. (2021 IEEE International Joint Conference on Biometrics, IJCB 2021).

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

  73. Published

    Keynote: Explainable-by-design Deep Learning.

    Angelov, P., 24/05/2021, 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE, p. 175 1 p.

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

  74. Published

    Self-Evolving Data Cloud-Based PID-Like Controller for Nonlinear Uncertain Systems

    Yang, Z.-X., Rong, H.-J., Wong, P. K., Angelov, P. & Wang, H., 1/05/2021, In: IEEE Transactions on Industrial Electronics. 68, 5, p. 4508-4518 11 p.

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

  75. Published

    Automatic Extraction and Labelling of Memorial Objects From 3D Point Clouds

    Arnold, N., Angelov, P., Viney, T. & Atkinson, P., 23/04/2021, In: Journal of Computer Applications in Archaeology. 4, 1, p. 79-93 15 p.

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

  76. Published

    Self-organizing fuzzy inference ensemble system for big streaming data classification

    Gu, X., Angelov, P. & Zhao, Z., 22/04/2021, In: Knowledge-Based Systems. 218, 13 p., 106870.

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

  77. Published

    Explainable-by-design Deep Learning

    Angelov, P., 03/2021.

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

  78. Published

    Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning

    Baisa, N. L., Jiang, Z., Vyas, R., Williams, B., Rahmani, H., Angelov, P. & Black, S., 13/01/2021, In: arXiv.

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

  79. Published

    An Explainable approach to Deep Learning from CT-scans for Covid Identification

    Almeida Soares, E., Angelov, P. & Zhang, Z., 2021, In: TechRxiv.

    Research output: Contribution to Journal/Magazine › Journal article

  80. 2020
  81. Published

    Human action recognition using deep rule-based classifier

    Bux, A., Gu, X., Angelov, P. & Habib, Z., 1/11/2020, In: Multimedia Tools and Applications. 79, 41-42, p. 30653-30667 15 p.

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

  82. Published

    Towards Deep Machine Reasoning: A Prototype-based Deep Neural Network with Decision Tree Inference

    Angelov, P. & Soares, E., 11/10/2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020. Institute of Electrical and Electronics Engineers Inc., Vol. October. p. 2092-2099 8 p. 9282812

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

  83. Published

    Concept Drift Detection Using Autoencoders in Data Streams Processing

    Jaworski, M., Rutkowski, L. & Angelov, P., 7/10/2020, Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part I. Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R. & Zurada, J. M. (eds.). Cham: Springer, p. 124-133 10 p. (Lecture Notes in Computer Science; vol. 12415 ).

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

  84. Published

    Towards explainable deep neural networks (xDNN)

    Angelov, P. & Soares, E., 1/10/2020, In: Neural Networks. 130, p. 185-194 10 p.

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

  85. Published

    Autonomous Learning Multiple-Model Zero-Order Classifier for Heart Sound Classification

    Almeida Soares, E., Angelov, P. P. & Gu, X., 1/09/2020, In: Applied Soft Computing. 94, 9 p., 106449.

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

  86. Published

    A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion

    Gu, X., Khan, M., Angelov, P., Tiwary, B., Shafipour Yourdshahi, E. & Yang, Z., 26/08/2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, p. 1-10 10 p.

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

  87. Published

    Deep Learning based Automated Forest Health Diagnosis from Aerial Images

    Chiang, C.-Y., Angelov, P., Barnes, C. & Jiang, R., 28/07/2020, In: IEEE Access. 8, p. 144064 - 144076 13 p.

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

  88. Published

    AI-enabled Microscopic Blood Analysis for Microfluidic COVID-19 Hematology

    Xia, T., Fu, Y. Q., Jin, N., Chazot, P., Angelov, P. & Jiang, R., 21/06/2020, p. 98-102. 5 p.

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

  89. Published

    Preface

    Maglogiannis, I., Angelov, P., Macintyre, J., Iliadis, L., Kolias, S. & Pimenidis, E., 5/06/2020, Artificial Intelligence Applications and Innovations: 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part I. Maglogiannis, I., Iliadis, L. & Pimenidis, E. (eds.). Cham: Springer, p. v-ix 5 p. (IFIP Advances in Information and Communication Technology; vol. 583).

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

  90. Published

    Preface

    Maglogiannis, I., Angelov, P., Macintyre, J., Iliadis, L., Kolias, S. & Pimenidis, E., 5/06/2020, Artificial Intelligence Applications and Innovations: 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part II. Maglogiannis, I., Iliadis, L. & Pimenidis, E. (eds.). Cham: Springer, p. v-ix 5 p. (IFIP Advances in Information and Communication Technology; vol. 584).

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

  91. Published

    Preface

    Maglogiannis, I., Angelov, P., Macintyre, J., Iliadis, L., Kolias, S. & Pimenidis, E., 5/06/2020, Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops: MHDW 2020 and 5G-PINE 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings. Maglogiannis, I., Iliadis, L. & Pimenidis, E. (eds.). Cham: Springer, p. v-vi 2 p. (IFIP Advances in Information and Communication Technology; vol. 585).

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

  92. Published

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

    Gu, X., Angelov, P. & Almeida Soares, E., 1/06/2020, In: International Journal of Intelligent Systems. 35, 6, p. 923-943 21 p.

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

  93. Published

    An evolving approach to data streams clustering based on typicality and eccentricity data analytics

    Bezerra, C. G., Costa, B. S. J., Guedes, L. A. & Angelov, P. P., 31/05/2020, In: Information Sciences. 518, p. 13-28 16 p.

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

  94. Published

    Interpretable policies for reinforcement learning by empirical fuzzy sets

    Huang, J., Angelov, P. P. & Yin, C., 31/05/2020, In: Engineering Applications of Artificial Intelligence. 91, 13 p., 103559.

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

  95. Published

    On-line Estimators for Ad-hoc Task Allocation: Extended Abstract

    Shafipour Yourdshahi, E., Do Carmo Alves, M., Soriano Marcolino, L. & Angelov, P., 9/05/2020, Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020). ACM, p. 1999–2001 3 p.

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

  96. Published

    Decentralised Task Allocation in the Fog: Estimators for Effective Ad-hoc Teamwork

    Shafipour Yourdshahi, E., Do Carmo Alves, M., Soriano Marcolino, L. & Angelov, P., 8/05/2020.

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

  97. Published

    SARS-CoV-2 CT-scan dataset: A large dataset of real patients CT scans for SARS-CoV-2 identification

    Angelov, P. & Almeida Soares, E., 29/04/2020, In: medRxiv. 8 p.

    Research output: Contribution to Journal/Magazine › Journal article

  98. E-pub ahead of print

    Highly interpretable hierarchical deep rule-based classifier

    Gu, X. & Angelov, P., 20/04/2020, (E-pub ahead of print) In: Applied Soft Computing. 92

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

  99. Published

    Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference

    Angelov, P. & Soares, E., 2/02/2020, In: arXiv.

    Research output: Contribution to Journal/Magazine › Journal article

  100. Published

    On-Line Estimators for Ad-Hoc Task Allocation

    Shafipour Yourdshahi, E., Aparecido do Carmo Alves, M., Soriano Marcolino, L. & Angelov, P., 2020, Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020. Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems, p. 1999–2001 3 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 2020-May).

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

  101. 2019
  102. Published

    ICDS 2019 Preface

    Angelov, P., Boumhidi, J., Hagras, H., Nfaoui, E. H., Oubenaalla, Y., Loqman, C., Mestari, M. & Mousannif, H., 26/12/2019, 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS). IEEE, 1 p.

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

  103. Published

    Explainable Density-based Approach for Self-driving Actions Classification

    Almeida Soares, E., Angelov, P., Filev, D., Costa, B., Castro, M. & Nageshrao, S., 16/12/2019, p. 1-6. 6 p.

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

  104. Published

    Self-Organising and Self-Learning Model for Soybean Yield Prediction

    Alghamdi, M., Angelov, P., Rufino, M., Gimenez, R. & Almeida Soares, E., 16/12/2019, 2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019. Alsmirat, M. & Jararweh, Y. (eds.). IEEE, p. 441-446 6 p.

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

  105. Published

    Towards Explainable Deep Neural Networks (xDNN)

    Angelov, P. & Soares, E., 5/12/2019, In: arXiv. p. 1-9 9 p.

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

  106. Published

    Local Optimality of Self-Organising Neuro-Fuzzy Inference Systems

    Gu, X., Angelov, P. P. & Rong, H., 30/11/2019, In: Information Sciences. 503, p. 351-380 30 p.

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

  107. 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

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