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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

  51. Published

    Control of cell protein synthesis from kluyveromyces marxianus var. Lactis MC5

    Angelov, P., Simova, E., Beshkova, D. & Frengova, G., 01/1996, In: Biotechnology and Biotechnological Equipment. 10, 1, p. 44-50 7 p.

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

  52. Published

    Co-ordinated Airborne Studies in the Tropics (CAST)

    Harris, N. R. P., Carpenter, L. J., Lee, J. D., Vaughan, G., Filus, M. T., Jones, R. L., OuYang, B., Pyle, J. A., Robinson, A. D., Andrews, S. J., Lewis, A. C., Minaeian, J., Vaughan, A., Dorsey, J. R., Gallagher, M. W., Le Breton, M., Newton, R., Percival, C. J., Ricketts, H. M. A., Baugitte, S. J-B., & 17 othersNott, G. J., Wellpott, A., Ashfold, M. J., Flemming, J., Butler, R., Palmer, P. I., Kaye, P. H., Stopford, C., Chemel, C., Boesch, H., Humpage, N., Vick, A., MacKenzie, A. R., Hyde, R., Angelov, P., Meneguz, E. & Manning, A. J., 01/2017, In: Bulletin of the American Meteorological Society. 98, 1, p. 145-162 18 p.

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

  53. Published

    Correntropy-Based Evolving Fuzzy Neural System

    Bao, R., Rong, H., Angelov, P. P., Chen, B. & Wong, P. K., 06/2018, In: IEEE Transactions on Fuzzy Systems. 26, 3, p. 1324-1338 14 p.

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

  54. Published

    Creating evolving user behavior profiles automatically

    Iglesias, J., Angelov, P., Ledezma, A. & Sanchis, A., 1/05/2012, In: IEEE Transactions on Knowledge and Data Engineering. 24, 5, p. 854-867 14 p.

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

  55. Published

    Crispification : defuzzification over intuitionistic fuzzy sets.

    Angelov, P., 1995, In: Bulletin for Studies and Exchanges on Fuzziness and its AppLications, BUSEFAL. 64, p. 51-55 5 p.

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

  56. Published

    Cybernetics of the mind: learning individual's perceptions autonomously

    Angelov, P. P., Gu, X., Iglesias, J., Ledezma, A., Sanchis, A., Sipele, O. & Ramezani, R., 04/2017, In: IEEE Systems, Man, and Cybernetics Magazine. 3, 2, p. 6-17 12 p.

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

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

  58. Published

    Data Partitioning—Empirical Approach

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 175-198 24 p. (Studies in Computational Intelligence; vol. 800).

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

  59. 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

  60. 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/Magazine › Journal article › peer-review

  61. 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

  62. Published

    Decision Support Systems: Improving Levels of Care and Lowering costs in anticoagulation therapy

    McDonald, S., Xydeas, C. & Angelov, P., 09/2008, Electronic healthcare: First International Conference, eHealth 2008, London, UK, September 8-9, 2008. Revised Selected Papers. Weerasinghe, D. (ed.). Berlin: Springer, p. 175-178 4 p. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; vol. 1).

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

  63. Published

    Deep Learning based Automated Forest Health Diagnosis from Aerial Images

    Chiang, C., 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

  64. Published

    Deep Rule-Based Aerial Scene Classifier using High-Level Ensemble Feature Descriptor

    Gu, X. & Angelov, P. P., 30/09/2019, 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, 7 p. 8851838

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

  65. Published

    Deep rule-based classifier with human-level performance and characteristics

    Angelov, P. P. & Gu, X., 10/2018, In: Information Sciences. 463-464, p. 196-213 18 p.

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

  66. 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

  67. Published

    Density-based averaging - a new operator for data fusion

    Angelov, P. & Yager, R., 10/02/2013, In: Information Sciences. 222, p. 163-174 12 p.

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

  68. Published

    Derivation of a computational approach to iteratively discriminate a transformation phenotype in Syrian hamster embryo (SHE) cells

    Trevisan, J., Angelov, P. & Martin, F., 11/2009, In: Mutagenesis. 24, 6, p. 543-543 1 p.

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

  69. Published

    Design and Performance of a Rule-based Controller in a Naturally Ventilated Room.

    Eftekhari, M., Marjanovic, L. & Angelov, P., 08/2003, In: Computers in Industry. 51, 3, p. 299-326 28 p.

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

  70. Published

    Design and tuning of fuzzy systems

    Angelov, P. & Iglesias, J. A., 2012

    Research output: Exhibits, objects and web-based outputs › Web publication/site

  71. Published

    Designing open, multi-class computational strategies to classify infrared spectroscopy data derived from the Syrian hamster embryo (SHE) assay

    Trevisan, J., Angelov, P. P., Carmichael, P. L., Scott, A. D. & Martin, F. L., 01/2012, In: Mutagenesis. 27, 1, p. 111-111 1 p.

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

  72. 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

  73. Published

    Detecting and reacting on drifts and shifts in on-line data streams with evolving fuzzy systems.

    Lughofer, E. & Angelov, P., 06/2009, Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, Lisbon, Portugal, July 20-24, 2009.. Carvalho, J. P., Dubois, D., Kaymak, U. & da Costa Sousa, J. M. (eds.). Lisbon: IFSA, p. 931-937 7 p.

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

  74. Published

    Detecting anomalous behaviour using heterogeneous data

    Mohd Ali, A., Angelov, P. P. & Gu, X., 7/09/2016, Advances in Computational Intelligence Systems: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK. Angelov, P., Gegov, A., Jayne, C. & Shen, Q. (eds.). Springer, p. 253-276 24 p. (Advances in Intelligent Systems and Computing; vol. 513).

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

  75. 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

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

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

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

  79. 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

  80. Published

    Empirical Approach to Machine Learning

    Angelov, P. P. & Gu, X., 2019, Cham: Springer. 437 p. (Studies in Computational Intelligence; vol. 800)

    Research output: Book/Report/Proceedings › Book

  81. Published

    Empirical Approach—Introduction

    Angelov, P. P. & Gu, X., 1/01/2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Cham: Springer-Verlag, p. 103-133 31 p. (Studies in Computational Intelligence; vol. 800).

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

  82. Published

    Empirical data analysis: a new tool for data analytics

    Angelov, P. P., Gu, X., Principe, J. & Kangin, D., 9/10/2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, p. 52-59 8 p. 1008

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

  83. Published

    Empirical data analytics

    Angelov, P. P., Gu, X. & Kangin, D., 12/2017, In: International Journal of Intelligent Systems. 32, 12, p. 1261-1284 24 p.

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

  84. Published

    Empirical Fuzzy Sets

    Angelov, P. P. & Gu, X., 02/2018, In: International Journal of Intelligent Systems. 33, 2, p. 362-395 34 p.

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

  85. Published

    Empirical Fuzzy Sets and Systems

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 135-155 21 p. (Studies in Computational Intelligence; vol. 800).

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

  86. 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

  87. Published

    Epilogue: Studies in Computational Intelligence

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 341-346 6 p. (Studies in Computational Intelligence; vol. 800).

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

  88. Published

    Evolutionary Synthesis of HVAC System Configurations: Algorithm Development.

    Wright, J. A., Zhang, Y., Angelov, P., Hanby, V. I. & Buswell, R. A., 01/2008, In: HVAC and R Research. 14, 1, p. 33-55 23 p.

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

  89. Published

    Evolving classification of agents' behaviours : a general approach.

    Iglesias, J. A., Angelov, P., Ledezma, A. & Sanchis, A., 10/2010, In: Evolving Systems. 1, 3, p. 161-171 11 p.

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

  90. 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/Magazine › Journal article › peer-review

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

  92. Published

    Evolving computational intelligence systems

    Angelov, P. & Kasabov, N., 03/2005, p. 76-82. 7 p.

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

  93. Published

    Evolving extended naive Bayes classifiers

    Klawonn, F. & Angelov, P., 12/2006, Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on. IEEE, p. 643-647 5 p.

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

  94. Published

    Evolving fuzzy classifier for novelty detection and landmark recognition by mobile robots

    Angelov, P. & Zhou, X., 2/05/2007, Mobile Roots: The Evolutionary Approach. Nedjah, N., Macedo Mourelle, L. & Santos Coelho, L. (eds.). p. 89-118 30 p. (Studies in Computational Intelligence; vol. 50).

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

  95. Published

    Evolving Fuzzy Classifier for Real-time Novelty Detection and Landmark Recognition by a Mobile Robot

    Angelov, P. & Zhou, X., 2007, Mobile Robots: The Evolutionary Approach. Nedja, N., Coelho, L. & Mourelle, L. (eds.). Berlin/Heidelberg: Springer, Vol. 50. p. 95-124 30 p. (Studies in Computational Intelligence).

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

  96. Published

    Evolving fuzzy classifiers using different model architectures.

    Angelov, P., Lughofer, E. & Zhou, X., 1/12/2008, In: Fuzzy Sets and Systems. 159, 23, p. 3160-3182 23 p.

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

  97. Published

    Evolving Fuzzy Inferential Sensors for Process Industry.

    Angelov, P., Kordon, A. & Zhou, X., 7/03/2008, 3rd International Workshop on Genetic and Evolving Systems, 2008. GEFS 2008. . IEEE, p. 41-46 6 p.

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

  98. Published

    Evolving fuzzy rule-based classifiers

    Angelov, P., Zhou, X. & Klawonn, F., 2/04/2007, p. 220-225. 6 p.

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

  99. Published

    Evolving Fuzzy Rule-based Classifiers from Data Streams

    Angelov, P. & Zhou, X., 22/12/2008, In: IEEE Transactions on Fuzzy Systems. 16, 6, p. 1462-1475 14 p.

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

  100. Published

    Evolving fuzzy rule-based models

    Angelov, P., 17/08/1999, p. 19-23. 5 p.

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

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