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Professor Plamen Angelov

Professor, Founding member, Director, Funding group lead

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  1. 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

  2. Published

    AURORA: autonomous real-time on-board video analytics

    Angelov, P., Sadeghi Tehran, P. & Clarke, C., 05/2017, In: Neural Computing and Applications. 28, 5, p. 855-865 11 p.

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

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

  4. Published

    ARTOT: Autonomous Real-Time Object detection and Tracking by a moving camera

    Angelov, P., Gude, C., Sadeghi-Tehran, P. & Ivanov, T., 09/2012, Intelligent Systems (IS), 2012 6th IEEE International Conference. IEEE, p. 446-452 7 p.

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

  5. 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/ISSN › Chapter

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

    Research output: Book/Report/Proceedings › Proceedings

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

    Research output: Book/Report/Proceedings › Proceedings

  8. 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

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

    Research output: Book/Report/Proceedings › Proceedings

  10. Published

    ARFA: automated real-time flight data analysis using evolving clustering, classifiers and recursive density estimation

    Kolev, D., Angelov, P., Markarian, G., Suvorov, M. & Lysanov, S., 2013, Evolving and Adaptive Intelligent Systems (EAIS), 2013 IEEE Conference on. Piscataway, N.J.: IEEE Press, p. 91-97 7 p.

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

  11. Published

    Architectures of evolving fuzzy rule-based classifiers

    Angelov, P., Zhou, X., Filev, D. & Lughofer, E., 9/10/2007, Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on. IEEE, p. 2050-2055 6 p.

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

  12. Published

    Approximate reasoning based optimization.

    Angelov, P., 1994, In: Yugoslav Journal of Operations Research. 4, 1, p. 11-17 7 p.

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

  13. Published

    Applying computational intelligence to community policing and forensic investigations

    Ali, A. M. & Angelov, P., 1/01/2017, Advanced Sciences and Technologies for Security Applications. Springer, p. 231-246 16 p. (Advanced Sciences and Technologies for Security Applications).

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

  14. Published

    Applications of Semi-supervised Deep Rule-Based Classifiers

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 321-340 20 p. (Studies in Computational Intelligence; vol. 800).

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

  15. Published

    Applications of evolving intelligent systems to oil and gas industry.

    Macias Hernandez, J. & Angelov, P., 04/2010, Evolving intelligent systems : methodology and applications. Angelov, P., Filev, D. & Kasabov, N. (eds.). New York, USA: John Wiley and Sons and IEEE Press, p. 401-422 22 p. (IEEE Press series in Computational Intelligence).

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

  16. Published

    Applications of Deep Rule-Based Classifiers

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 295-319 25 p. (Studies in Computational Intelligence; vol. 800).

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

  17. Published

    Applications of Autonomous Learning Multi-model Systems

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 277-293 17 p. (Studies in Computational Intelligence; vol. 800).

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

  18. Published

    Applications of Autonomous Data Partitioning

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 261-276 16 p. (Studies in Computational Intelligence; vol. 800).

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

  19. Published

    Applications of Autonomous Anomaly Detection

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 249-259 11 p. (Studies in Computational Intelligence; vol. 800).

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

  20. Published

    Application of univariate search methods to the determination of HVAC plant capacity

    Hanby, V. I. & Angelov, P. P., 1/08/2000, In: Building Services Engineering Research and Technology. 21, 3, p. 161-166 6 p.

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

  21. Published

    Anomaly Detection—Empirical Approach

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. P. & Gu, X. (eds.). Cham: Springer, p. 157-173 17 p. (Studies in Computational Intelligence; vol. 800).

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

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

  23. Published

    Anomalous behaviour detection based on heterogeneous data and data fusion

    Mohd Ali, A. & Angelov, P., 05/2018, In: Soft Computing. 22, 10, p. 3187-3201 15 p.

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

  24. Published

    Analytical approach for solving a type of fuzzy optimization problems.

    Angelov, P., 09/1994. 11 p.

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

  25. Published

    Analysis of evolving social network: methods and results from cell phone data set case study

    Dutta Baruah, R. & Angelov, P., 2013, In: International Journal of Social Network Mining. 1, 3-4, p. 254-279 26 p.

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

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

  27. Published

    An uniformly stable backpropagation algorithm to train a feedforward neural network

    Rubio, J. D. J., Angelov, P. & García, E., 03/2011, In: IEEE Transactions on Neural Networks. 22, 3, p. 356-366 11 p.

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

  28. 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/Magazine › Journal article › peer-review

  29. Published

    An Odometer-Free Approach for Unmanned Ground-Based Vehicle Simultaneous Localization and Mapping

    Gu, X., Angelov, P. & Khan, M., 26/10/2019.

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

  30. 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

  31. 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

  32. 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

  33. 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

  34. Published

    An evolving machine learning method for human activity recognition systems

    Andreu, J. & Angelov, P., 2013, In: Journal of Ambient Intelligence and Humanized Computing. 4, 2, p. 195-206 12 p.

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

  35. Published

    An evolving approach to unsupervised and Real-Time fault detection in industrial processes

    Gomes Bezerra, C., Costa, B. S. J., Guedes, L. A. & Angelov, P. P., 30/11/2016, In: Expert Systems with Applications. 63, p. 134-144 11 p.

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

  36. 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

  37. Published

    An evolutionary approach to fuzzy rule-based model synthesis using indices for rules

    Angelov, P., 1/08/2003, In: Fuzzy Sets and Systems. 137, 3, p. 325-338 14 p.

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

  38. Published

    An Approach to Real-Time Color-based Object Tracking

    Memon, M. A., Angelov, P. & Ahmed, H., 8/09/2006, Evolving Fuzzy Systems, 2006 International Symposium on. IEEE, p. 81-87 7 p.

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

  39. Published

    An approach to online identification of Takagi-Sugeno fuzzy models

    Angelov, P. & Filev, D., 02/2004, In: IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics. 34, 1, p. 484-498 15 p.

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

  40. Published

    An Approach to On-line Design of Fuzzy Controllers with Evolving Structure

    Angelov, P., 2002, Proceedings 4th International Conference on Recent Advances in Soft Computing, Nottingham, 12-13 December 2002. Lofti, A. & Garibaldi, J. M. (eds.). Nottingham: Nottingham Trent University, p. 55-56 2 p.

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

  41. Published

    An approach to on-line design of fuzzy controllers with evolving structure

    Angelov, P., 10/2004, Applications and Science in Soft Computing. Ahmad, L. & Garibaldi, J. M. (eds.). Berlin/Heidelberg: Springer, p. 63-68 6 p. (Advances in Soft Computing).

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

  42. Published

    An Approach to Model-based Fault Detection in Industrial Measurement Systems with Application to Engine Test Benches.

    Angelov, P., Giglio, V., Guardiola, C., Lughofer, E. & Lujan, J. M., 07/2006, In: Measurement Science and Technology. 17, 7, p. 1809-1818 10 p.

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

  43. Published

    An approach to fuzzy optimal control via parameterized conjunction and defuzzification

    Angelov, P. & Zamdjiev, N., 1993, In: Fuzzy Systems and Artificial Intelligence. 2, 1, p. 151-156 6 p.

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

  44. Published

    An Approach to Autonomous Self-localization of a Mobile Robot in Completely Unknown Environment using Evolving Fuzzy Rule-based Classifier

    Zhou, X. & Angelov, P., 2/04/2007, Computational Intelligence in Security and Defense Applications, 2007. CISDA 2007. IEEE Symposium on. IEEE, p. 131-138 8 p.

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

  45. Published

    An approach to automatic real-time novelty detection, object identification, and tracking in video streams based on recursive density estimation and evolving Takagi–Sugeno fuzzy systems

    Angelov, P., Sadeghi-Tehran, P. & Ramezani, R., 03/2011, In: International Journal of Intelligent Systems. 26, 3, p. 189-205 17 p.

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

  46. Published

    An Approach for Training a type of Fuzzy Neural Networks as Fuzzy Optimization

    Angelov, P., Petrov, M. & Tsonkov, S., 09/1994, Proceedings of 10th International Conference on Systems Engineering, Coventry, 6-8 Spetember 1994 .

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

  47. Published

    An Approach for Rule-base Adaptation using On-line Clustering

    Angelov, P., 09/2002, Proceedings of EUNITE, Albufeira, Portugal, 19-22 September 2002. EUNITE, p. 47-52 6 p.

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

  48. Published

    An Approach for Fuzzy Rule-base Adaptation using On-line Clustering.

    Angelov, P., 03/2004, In: International Journal of Approximate Reasoning. 35, 3, p. 275-289 15 p.

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

  49. Published

    An analytical method for solving a type of fuzzy optimization problems, control and cybernetics.

    Angelov, P., 1995, In: Control and Cybernetics. 24, 3, p. 363-373 11 p.

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

  50. Published

    An analytical approach for FMP problem solving and its application to neural networks learning.

    Angelov, P., 09/1993. 0 p.

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

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