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Professor Plamen Angelov

Professor, Founding member, Director, Funding group lead

  1. 2014
  2. Published

    Measuring similarity and improving stability in biomarker identification methods applied to Fourier-transform infrared (FTIR) spectroscopy

    Trevisan, J., Park, J., Angelov, P., Ahmadzai, A., Gajjar, K., Scott, A. D., Carmichael, P. L. & Martin, F., 04/2014, In: Journal of Biophotonics. 7, 3-4, p. 254-265 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Published

    Outside the box: an alternative data analytics frame-work

    Angelov, P., 04/2014, In: Journal of Automation, Mobile Robotics and Intelligent Systems. 8, 2, p. 29-35 7 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Published

    Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems

    Angelov, P. (ed.), Filev, D. (ed.), Kasabov, N. (ed.), Lughofer, E. (ed.), Klement, E. P. (ed.) & Saminger-Platz, S. (ed.), 06/2014, Piscataway, N.J.: IEEE. 150 p.

    Research output: Book/Report/ProceedingsProceedings

  5. Published

    Symbol recognition with a new autonomously evolving classifier autoclass

    Angelov, P., Kangin, D., Xiaowei, Z. & Kolev, D., 06/2014, 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems. 9781479933471: IEEE, p. 1-6 6 p.

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

  6. Published

    Dynamically evolving clustering for data streams

    Dutta Baruah, R., Angelov, P. & Baruah, D., 2/06/2014, Proceedings 2014 IEEE Symposium on Evolving and Intelligent Systems, EAIS2014. IEEE Xplore, p. 1-6 6 p.

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

  7. Published

    Robust evolving cloud-based PID control adjusted by gradient learning method

    Skrjanc, I., Blazic, S. & Angelov, P., 2/06/2014, Proceedings 2014 IEEE Symposium on Evolving and Intelligent Systems, EAIS-2014. IEEE Xplore, p. 1-8 8 p.

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

  8. Published

    A new unsupervised approach to fault detection and identification

    Costa, B., Angelov, P. & Guedes, L. A., 07/2014, Neural Networks (IJCNN), 2014 International Joint Conference on. IEEE, p. 1557-1564 8 p.

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

  9. Published

    Dynamically evolving fuzzy classifier for real-time classification of data streams

    Dutta Baruah, R., Angelov, P. & Baruah, D., 6/07/2014, Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on. IEEE, p. 383-389 7 p.

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

  10. Published

    Real-time fault detection using recursive density estimation

    Costa, B. S. J., Angelov, P. & Guedes, L. A., 08/2014, In: Journal of Control, Automation and Electrical Systems. 25, 4, p. 428-437 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. Published

    DEC: dynamically evolving clustering autonomous and its application to structure

    Dutta Baruah, R. & Angelov, P., 14/08/2014, In: IEEE Transactions on Cybernetics. 44, 9, p. 1619-1631 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  12. Published

    Data density based clustering

    Hyde, R. & Angelov, P., 8/09/2014, Computational Intelligence (UKCI), 2014 14th UK Workshop on. IEEE, p. 1-7 7 p.

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

  13. Unpublished

    Data structuring and searching method and apparatus

    Angelov, P. & Sadeghi Tehran, P., 8/10/2014, (Unpublished) Patent No. GB1417807.3, priority date 8 October 2014, Priority date 8/10/2014, Priority No. GB1417807.3

    Research output: Patent

  14. Published

    Real-time novelty detection in video using background subtraction techniques: state of the art a practical review

    Morris, G. & Angelov, P., 8/10/2014, 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE Press, p. 537-543 7 p.

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

  15. Published

    A real-time approach for autonomous detection and tracking of moving objects from UAV

    Sadeghi Tehran, P., Clarke, C. & Angelov, P. P., 12/2014, 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS). Piscataway, N. J.: IEEE, p. 43-49 7 p.

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

  16. Published

    Anomaly detection based on eccentricity analysis

    Angelov, P., 12/2014, 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS). Orlando, FL, USA: IEEE Press, p. 1-8 8 p.

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

  17. Published

    A fully autonomous data density based clustering algorithm

    Hyde, R. & Angelov, P., 9/12/2014, Evolving and Autonomous Learning Systems (EALS), 2014 IEEE Symposium on. Piscataway, N.J.: IEEE, p. 116-123 8 p.

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

  18. Published

    RTSDE: recursive total-sum-distances-based density estimation approach and its application for autonomous real-time video analytics

    Angelov, P. & Wilding, A., 9/12/2014, 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS). Orlando, FL, USA: IEEE, p. 81-86 6 p.

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

  19. 2015
  20. Published

    A robust evolving cloud-based controller

    Angelov, P., Skrjanc, I. & Blazic, S., 2015, Springer Handbook of Computational Intelligence . Kacprzyk, J. & Pedrycz, W. (eds.). Berlin: Springer, Vol. G. p. 1435-1449 15 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)peer-review

  21. Published

    ATDT: Autonomous Template-based Detection and Tracking of objects from airborne camera

    Sadeghi Tehran, P. & Angelov, P., 2015, Intelligent Systems 2014: Proceedings of the 7th IEEE International Conference Intelligent Systems IS’2014, September 24‐26, 2014, Warsaw, Poland, Volume 2: Tools, Architectures, Systems, Applications. Filev, D., Jabłkowski, J., Kacprzyk, J., Krawczak, M., Popchev, I., Rutkowski, L., Sgurev, V., Sotirova, E., Szynkarczyk, P. & Zadrozny, S. (eds.). Springer, p. 555-565 11 p. (Advances in Intelligent Systems and Computing; vol. 323).

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

  22. Published

    Incremental anomaly identification in flight data analysis by adapted one-class SVM method

    Kolev, D., Suvorov, M., Morozov, E., Markarian, G. & Angelov, P., 2015, Artificial neural networks: methods and applications in bio-/neuroinformatics. Koprinkova-Hristova, P., Mladenov, V. & Kasabov, N. K. (eds.). Springer, p. 373-391 19 p. (Springer Series in Bio-/Neuroinformatics; vol. 4).

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

  23. Published

    Intelligent Systems' 2014: Proceedings of the 7th IEEE International Conference Intelligent Systems IS’2014, September 24‐26, 2014, Warsaw, Poland

    Angelov, P. (ed.), T. Atanassov, K. (ed.), Doukovska, L. (ed.), Hadjiski, M. (ed.), Jotsov, V. (ed.), Kacprzyk, J. (ed.), Kasabov, N. (ed.), Sotirov, S. (ed.), Szmidt, E. (ed.) & Zadrozny, S. (ed.), 2015, Springer. 863 p. (Advances in Intelligent Systems and Computing; vol. 322)

    Research output: Book/Report/ProceedingsProceedings

  24. Published

    RDE with forgetting: an approximate solution for large values of k with an application to fault detection problems

    Bezerra, C. G., Costa, B., Guedes, L. A. & Angelov, P., 2015, Statistical learning and data sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Gammerman, A., Vovk, V. & Papadopoulos, H. (eds.). Springer, p. 169-178 10 p. (Lecture Notes in Computer Science; vol. 9047).

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

  25. Published

    Recursive SVM based on TEDA

    Kangin, D. & Angelov, P., 2015, Statistical learning and data sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Gammerman, A., Vovk, V. & Papadopoulos, H. (eds.). Cham: Springer, p. 156-168 13 p. (Lecture Notes in Computer Science; vol. 9047).

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

  26. Published

    Fully unsupervised fault detection and identification based on recursive density estimation and self-evolving cloud-based classifier

    Costa, B. S. J., Angelov, P. & Guedes, L. A., 20/02/2015, In: Neurocomputing. 150, A, p. 289-303 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  27. Published

    Comparison approaches for identification of all-data cloud-based evolving systems

    Blazic, S., Angelov, P. & Skrjanc, I., 22/06/2015, IFAC ESCIT. IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control ESCIT, 5 p.

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

  28. Published

    A new online clustering approach for data in arbitrary shaped clusters

    Hyde, R. & Angelov, P., 24/06/2015, Cybernetics (CYBCONF), 2015 IEEE 2nd International Conference on . IEEE, p. 228-233 6 p. 78

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

  29. Published

    Comparison of approaches for identification of all-data cloud-based evolving systems

    Blažič, S., Angelov, P. & Škrjanc, I., 1/07/2015, In: IFAC-PapersOnLine. 28, 10, p. 129-134 6 p.

    Research output: Contribution to Journal/MagazineConference articlepeer-review

  30. Published

    Evolving clustering, classification and regression with TEDA

    Kangin, D. & Angelov, P. P., 12/07/2015, Proceedings of the 2015 International Joint Conference on Neural Networks (IJCNN). IEEE, p. 1-8 8 p.

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

  31. Published

    Online fault detection based on typicality and eccentricity data analytics

    Costa, B. S. J., Bezerra, C. G., Guedes, L. A. & Angelov, P. P., 12/07/2015, Proceedings of the 2015 International Joint Conference on Neural Networks (IJCNN). IEEE, p. 1-6 6 p.

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

  32. Published

    Typicality distribution function: a new density-based data analytics tool

    Angelov, P., 12/07/2015, Neural Networks (IJCNN), 2015 International Joint Conference on. IEEE, p. 1-8 8 p.

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

  33. Published

    A comparative study of autonomous learning outlier detection methods applied to fault detection

    Bezerra, C. G., Costa, B. S. J., Guedes, L. A. & Angelov, P. P., 08/2015, Proceedings of the 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) . IEEE, p. 1-7 7 p.

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

  34. Published

    Evolving classifier TEDAClass for big data

    Kangin, D., Angelov, P. P., Iglesias, J. A. & Sanchis, A., 08/2015, In: Procedia Computer Science. 53, p. 9-18 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  35. Published

    A nested hierarchy of dynamically evolving clouds for big data structuring and searching

    Angelov, P. & Sadeghi Tehran, P., 8/08/2015, In: Procedia Computer Science. 53, p. 1-8 8 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  36. Published

    Robust evolving cloud-based controller in normalized data space for heat-exchanger plant

    Andonovski, G., Blazic, S., Angelov, P. & Skrjanc, I., 09/2015, Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on. IEEE, p. 1-7 7 p.

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

  37. Published

    SYSTEM STATE CLASSIFIER: United States Patent Application 20150278711

    Angelov, P. P., Kolev, D. G. & Markarian, G., 1/10/2015, IPC No. G06N99/00; G06N7/00 , Patent No. 14/677269, Priority date 10/10/2012, Priority No. GB1218209.3

    Research output: Patent

  38. Published

    Edge flow

    Morris, G. & Angelov, P. P., 9/10/2015, Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, p. 1942-1948 7 p.

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

  39. Published

    An overview on fault diagnosis and nature-inspired optimal control of industrial process applications

    Precup, R-E., Angelov, P., Jales Costa, B. S. & Sayed-Mouchaweh, M., 12/2015, In: Computers in Industry. 74, p. 75-94 20 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  40. Published

    Synergy of computers, cognition, communication and control with industrial applications

    Precup, R-E. (ed.), Hellendoorn, H. (ed.) & Angelov, P. (ed.), 12/2015, In: Computers in Industry. 74, p. 71-74 4 p.

    Research output: Contribution to Journal/MagazineEditorialpeer-review

  41. Published

    Analysis of adaptation law of the robust evolving cloud-based controller

    Andonovski, G., Blazic, S., Angelov, P. P. & Skrjanc, I., 3/12/2015, Proceedings 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS). IEEE, p. 1-7 7 p.

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

  42. Published

    Program and abstracts of 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)

    Sayed-Mouchaweh, M. (ed.), Fleury, A. (ed.), Angelov, P. P. (ed.), Lughofer, E. (ed.) & Iglesias, J. A. (ed.), 3/12/2015, IEEE. 26 p.

    Research output: Book/Report/ProceedingsProceedings

  43. Published

    Preface

    Sayed-Mouchaweh, M., Fleury, A., Angelov, P., Lughofer, E. & Iglesias, J. A., 29/12/2015, 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS). IEEE, p. 1-2 2 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNForeword/postscript

  44. 2016
  45. Published
  46. Published

    ARTOD: Autonomous Real Time Objects Detection by a moving camera using recursive density estimation

    Sadeghi Tehran, P. & Angelov, P., 28/01/2016, Novel applications of intelligent systems. Hadjiski, M., Kasabov, N., Filev, D. & Jotsov, V. (eds.). Cham: Springer Verlag, p. 123-138 16 p. (Studies in Computational Intelligence; vol. 586).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  47. Published

    Prediction of the attention area in ambient intelligence tasks

    Shafi, J., Angelov, P. P. & Umair, M., 3/02/2016, Innovative issues in intelligent systems. Sgurev, V., Yager, R., Kacprzyk, J. & Jotsov, V. (eds.). Berlin: Springer, p. 33-56 24 p. (Studies in Computational Intelligence; vol. 623).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  48. Published

    Handbook in computational intelligence

    Angelov, P. (ed.), 21/03/2016, World Scientific Publishing. 964 p.

    Research output: Book/Report/ProceedingsBook

  49. Published

    Challenges in deep learning

    Angelov, P. & Sperduti, A., 27/04/2016, ESANN 2016 - 24th European Symposium on Artificial Neural Networks. i6doc.com publication, p. 489-496 8 p. (ESANN 2016 - 24th European Symposium on Artificial Neural Networks).

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

  50. Published

    A new evolving clustering algorithm for online data streams

    Bezerra, C. G., Costa, B. S. J., Guedes, L. A. & Angelov, P. P., 23/05/2016, 2016 IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS2016. IEEE, p. 162-168 7 p.

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

  51. 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/Paperpeer-review

  52. Published

    Handbook on Computational Intelligence

    Angelov, P. P., 31/05/2016, Handbook On Computational Intelligence (In 2 Volumes). World Scientific Publishing Co., p. 1-964 964 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  53. Published

    Prologue

    Angelov, P. P., 31/05/2016, Handbook On Computational Intelligence (In 2 Volumes). World Scientific Publishing Co., p. xxiii

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNForeword/postscript

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