Plamen Angelov - Publications & Outputs - Research Portal

Professor Plamen Angelov

Professor, Founding member, Director, Funding group lead

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Published
A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification
Gu, X., Angelov, P. P. & Soares, E. A., 25/11/2019, In: arXiv.
Research output: Contribution to Journal/Magazine › Journal article
Published
A Self-Learning Fuzzy Classifier with Feature Selection for Intelligent interrogation of mid-IR spectroscopy data from exfoliative cervical cytology using selflearning classifier eClass.
Kelly, J. G., Angelov, P. P., Walsh, M. J., Pollock, H. M., Pitt, M. A., Martin-Hirsch, P. L. & Martin, F. L., 2008, In: International Journal of Computational Intelligence Research. 4, 4, p. 392-401 10 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification
Gu, X., Zhang, C., Shen, Q., Han, J., Angelov, P. & Atkinson, P., 1/04/2022, In: Information Fusion. 80, p. 179-204 26 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A Semi-Supervised Deep Rule-Based Approach for Complex Satellite Sensor Image Analysis
Gu, X., Angelov, P., Zhang, C. & Atkinson, P., 31/05/2022, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44, 5, p. 2281-2292 12 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A Semi-Supervised Deep Rule-Based Approach for Remote Sensing Scene Classication
Gu, X. & Angelov, P. P., 3/04/2019, The 2019 INNS Big Data and Deep Learning (INNSBDDL 2019) conference. Springer, p. 257-266 10 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
A simple fuzzy rule-based system through vector membership and kernel-based granulation.
Angelov, P. & Yager, R., 9/07/2010, 5th IEEE International Conference Intelligent Systems (IS), 2010 . IEEE, p. 349-354 6 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
About analytical solving fuzzy mathematical programming problem.
Angelov, P., 09/1993, Mathematical modelling methodology, software tools, and applications : proceedings of the International Conference on Mathematical Modelling and Scientific Computation, Sozopol, Bulgaria, September 14-18, 1993 . Popova, E. D. (ed.). Sofia: DATECS , 14 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios
Almeida Soares, E., Angelov, P. P., Costa, B. S. J. & Castro, M., 30/09/2019, 2019 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
Published
Adaptive inferential sensors based on evolving fuzzy models
Angelov, P. & Kordon, A., 04/2010, In: IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics. 40, 2, p. 529-539 11 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Adaptive Resilience for Computer Networks
Ali, A., Hutchison, D., Angelov, P. & Smith, P., 4/10/2012. 0 p.
Research output: Contribution to conference - Without ISBN/ISSN › Conference paper
Published
Adaptive resilience for computer networks: Using online fuzzy learning.
Ali, A., Hutchison, D., Angelov, P. P. & Smith, P., 14/02/2013, 2012 IV International Congress on Ultra Modern Telecommunications and Control Systems. IEEE, p. 772-778 7 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
Advances in classification of EEG signals via evolving fuzzy classifiers and dependant multiple HMMs.
Xydeas, C., Angelov, P., Chiao, S-Y. & Reoullas, M., 10/2006, In: Computers in Biology and Medicine. 36, 10, p. 1064-1083 20 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Advances in Computational Intelligence Systems: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK
Angelov, P. P., Shen, Q., Jayne, C. & Gegov, A., 7/09/2016, Springer. 508 p. (Advances in Intelligent Systems and Computing; vol. 513)
Research output: Book/Report/Proceedings › Book
Published
Advances in Fourier-transform infrared spectroscopy analysis to characterise chemical-induced alterations in the Syrian hamster embryo assay-towards biomarkers stability
Trevisan, J., Angelov, P. P., Carmichael, P. L., Scott, A. & Martin, F. L., 11/2012, In: Mutagenesis. 27, 6, p. 792-792 1 p.
Research output: Contribution to Journal/Magazine › Meeting abstract › peer-review
Published
Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change: Proceedings of the International Conference of ICT for Adapting Agriculture to Climate Change AACC'17, November 22-24, 2017, Popayan, Colombia)
Angelov, P. P. (ed.), Iglesias, J. A. (ed.) & Carlos Corrales, J. (ed.), 17/12/2017, 1st ed. Cham: Springer. 265 p. (Advances in Intelligent Systems and Computing; vol. 687)
Research output: Book/Report/Proceedings › Book
Published
Agile collaborative agents for classification of underwater targets
Carline, D., Angelov, P. & Clifford, R., 21/06/2005, Proceedings of the Undersea Defense Technology Conference 2005. Amsterdam, The Netherlands
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
Agile collaborative autonomous agents for robust underwater classification scenarios
Carline, D., Angelov, P. & Clifford, R., 06/2005. 6 p.
Research output: Contribution to conference - Without ISBN/ISSN › Conference paper
Published
AI-enabled Microscopic Blood Analysis for Microfluidic COVID-19 Hematology
Xia, T., Fu, Y. Q., Jin, N., Chazot, P., Angelov, P. & Jiang, R., 21/06/2020, p. 98-102. 5 p.
Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review
Published
Algorithms for Real-Time Clustering and Generation of Rules from Data
Filev, D. & Angelov, P., 2007, Advances in Fuzzy Clustering and Its Applications. de Oliveira, J. V. & Pedrycz, W. (eds.). Chichester: John Willey and Sons, p. 353-370 18 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Published
ALMA for evolving systems
Angelov, P., 8/06/2012, 12th NCEI, Auckland, New Zealand. Auckland
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Abstract
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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

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Professor Plamen Angelov

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