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Professor Plamen Angelov

Professor, Founding member, Director, Funding group lead

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  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. Published

    Automatic design generation of component-based systems using GA and fuzzy optimisation

    Angelov, P., Zhang, Y. & Wright, J. A., 17/03/2005, p. 95-100. 6 p.

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

  22. Published

    Automatic design synthesis and optimization of component-based systems by evolutionary algorithms

    Angelov, P. P., Zhang, Y., Wright, J. A., Hanby, V. I. & Buswell, R. A., 07/2003, Genetic and Evolutionary Computation. Cantu-Paz, E., Foster, J. A., Deb, K., Davis, L. D., Roy, R., O'Reilly, U-M., Beyer, H. G., Standish, R., Kendall, G., Willson, S., Harman, M., Dasgupta, D., Potter, M. A., Schultz, A. C., Jonoska, N. & Miller, J. (eds.). 2724 ed. Berlin/Heidelberg: Springer, Vol. 2. p. 1938-1950 13 p. (Lecture Notes in Computer Science).

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

  23. Published

    Automatic detection of computer network traffic anomalies based on eccentricity analysis

    Martins, R. S., Angelov, P. & Costa, B. S. J., 15/10/2018, 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8 p. 8491507

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

  24. 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

  25. Published

    Automatic generation of fuzzy rule-based models from data by genetic algorithms

    Angelov, P., Hanby, V. I., Buswell, R. A. & Wright, J. A., 2001, Developments in Soft Computing. John, R. I. & Birkenhead, R. (eds.). Berlin/Heidelberg: Springer, p. 31-40 10 p. (Advances in Soft Computing).

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

  26. Published

    Automatic generation of fuzzy rule-based models from data by genetic algorithms.

    Angelov, P. & Buswell, R., 2003, In: Information Sciences. 150, 1-2, p. 17-31 15 p.

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

  27. Published

    Automatic mobile photographer and picture diary

    Angelov, P., Andreu, J. & Vong, T., 05/2012, Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on. IEEE, p. 102-107

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

  28. Published

    Automatic scene recognition for low-resource devices using evolving classifiers

    Andreu, J., Dutta Baruah, R. & Angelov, P., 09/2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ). IEEE, p. 2779-2785 7 p.

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

  29. Published

    Autonomous anomaly detection

    Gu, X. & Angelov, P. P., 31/05/2017, IEEE Conference on Evolving and Adaptive Intelligent Systems. p. 1-8 8 p.

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

  30. Published

    Autonomous data density based clustering method

    Angelov, P. P., Gu, X., Gutierrez, G., Iglesias, J. A. & Sanchis, A., 24/07/2016, p. 2405-2413. 9 p.

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

  31. Published

    Autonomous data-driven clustering for live data stream

    Gu, X. & Angelov, P. P., 9/10/2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016). IEEE, p. 1128-1135 8 p. 1303

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

  32. 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

  33. Published

    Autonomous Learning Multi-Model Classifier of 0-Order (ALMMo-0)

    Angelov, P. P. & Gu, X., 31/05/2017, IEEE Conference on Evolving and Adaptive Intelligent Systems 2017. p. 1-7 7 p.

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

  34. Published

    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. 199-222 24 p. (Studies in Computational Intelligence; vol. 800).

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

  35. Published

    Autonomous learning multi-model systems from data streams

    Angelov, P. P., Gu, X. & Principe, J., 1/08/2018, In: IEEE Transactions on Fuzzy Systems. 26, 4, p. 2213-2224 12 p.

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

  36. 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

  37. Published

    Autonomous Learning Systems: From Data to Knowledge in Real Time

    Angelov, P., 1/12/2012, Chichester: John Willey and Sons. 288 p.

    Research output: Book/Report/Proceedings › Monograph

  38. Published

    Autonomous Machine Learning (ALMA): generating rules from data streams

    Angelov, P., 19/09/2011, Proceedings of the Special International Conference on Complex Systems, COSY-2011: 16-19 September 2011. Ohrid, FYR of Macedonia, p. 249-256 8 p.

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

  39. Published

    Autonomous novelty detection and object tracking in video streams using evolving clustering and Takagi-Sugeno type neuro-fuzzy system.

    Angelov, P., Ramezani, R. & Zhou, X., 2008, IEEE International Joint Conference on Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). . IEEE, p. 1456-1463 8 p.

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

  40. Published

    Autonomous visual self-localization in completely unknown environment

    Sadeghi-Tehran, P., Behera, S., Angelov, P. & Andreu, J., 05/2012, Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on. IEEE, p. 90-95 6 p.

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

  41. Published

    Autonomously evolving classifier TEDAClass

    Kangin, D., Angelov, P. & Iglesias, J. A., 20/10/2016, In: Information Sciences. 366, p. 1-11 11 p.

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

  42. Published

    Brief Introduction to Computational Intelligence

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 69-99 31 p. (Studies in Computational Intelligence; vol. 800).

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

  43. Published

    Brief Introduction to Statistical Machine Learning

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 17-67 51 p. (Studies in Computational Intelligence; vol. 800).

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

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

  45. Published

    Classification of carcinoma kidney tissue status based on the data of protein expression using LS- SVM

    Angelov, P., Von Eggeling, F. & Guthke, R., 9/05/2003, International Workshop on Intelligent Technologies for Gene Expression-based Individualized Medicine. Jena, Germany: International Workshop on Intelligent Technologies for Gene Expression-based Individualized Medicine

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

  46. Published

    Clustering as a tool for self-generation of intelligent systems : a survey.

    Dutta Baruah, R. & Angelov, P., 1/04/2010, p. 34-41. 9 p.

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

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

  48. 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/Magazine › Conference article › peer-review

  49. 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

  50. Published

    Construction scheduling, cost optimization and management: a new model based on neurocomputing and object technologies

    Angelov, P., 2001, In: Engineering, Construction and Architectural Management. 8, 3, p. 233-234 2 p.

    Research output: Contribution to Journal/Magazine › Book/Film/Article review

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