Plamen Angelov - Publications & Outputs - Research Portal

Professor Plamen Angelov

Professor, Founding member, Director, Funding group lead

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Published
A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion
Gu, X., Khan, M., Angelov, P., Tiwary, B., Shafipour Yourdshahi, E. & Yang, Z., 26/08/2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, p. 1-10 10 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
A Novel Multiple Feature-based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine
Yang, Z. X., Rong, H.-J., Wong, P. K., Angelov, P., Vong, C. M., Chiu, C. W. & Yang, Z.-X., 31/03/2022, In: Cognitive Computation. 14, 2, p. 828-851 24 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A novel algorithm for the modelling of complex processes
Rubio, J. D. J., Lughofer, E., Angelov, P. P., Novoa, J. F. & Meda-Campana, J. A., 1/04/2018, In: Kybernetika. 54, 1, p. 79-95 17 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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/ISSN › Conference contribution/Paper › peer-review
Published
A new type of simplified fuzzy rule-based systems
Angelov, P. & Yager, R., 01/2012, In: International Journal of General Systems. 41, 2, p. 163-185 23 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A new type of distance metric and its use for clustering
Gu, X., Angelov, P. P., Kangin, D. & Principe, J., 09/2017, In: Evolving Systems. 8, 3, p. 167-177 11 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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/ISSN › Conference contribution/Paper › peer-review
Published
A new method for solving linear programming problems with fuzzy parameters.
Angelov, P., 1994. 5 p.
Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review
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/ISSN › Conference contribution/Paper › peer-review
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/Magazine › Journal article › peer-review
Published
A multistream deep rule-based ensemble system for aerial image scene classification
Gu, X. & Angelov, P. P., 29/06/2022, Deep Learning, Intelligent Control and Evolutionary Computation. Angelov, P. (ed.). World Scientific Publishing Co., Vol. 2. p. 661-695 35 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Published
A methodology for modeling HVAC components using evolving fuzzy rules
Angelov, P., Buswell, R. A., Hanby, V. I. & Wright, J. A., 10/2000. 247 p.
Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review
Published
A Method for Predicting Quality of the Crude Oil Distillation
Macias, J. J., Angelov, P. & Xiaowei, Z., 8/09/2006, Evolving Fuzzy Systems, 2006 International Symposium on. IEEE, p. 214-220 7 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
A method for fuzzy linear dynamic programing.
Angelov, P., 1995. 5 p.
Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review
Published
A Method for Autonomous Data Partitioning
Gu, X., Angelov, P. P. & Principe, J., 09/2018, In: Information Sciences. 460-461, p. 65-82 18 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A mathematical framework for spectroscopy data analysis to characterize chemical-induced alterations in the SHE assay
Trevisan, J., Angelov, P. P., Carmichael, P. L., Scott, A. D. & Martin, F. L., 11/2010, In: Mutagenesis. 25, 6, p. 658-658 1 p.
Research output: Contribution to Journal/Magazine › Meeting abstract › peer-review
Published
A Massively Parallel Deep Rule-Based Ensemble Classifier for Remote Sensing Scenes
Gu, X., Angelov, P. P., Zhang, C. & Atkinson, P. M., 03/2018, In: IEEE Geoscience and Remote Sensing Letters. 15, 3, p. 345-349 5 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A large multiclass dataset of CT scans for COVID-19 identification
Almeida Soares, E., Angelov, P., Biaso, S., Froes, M. H. & Abe, D. K., 1/04/2024, In: Evolving Systems. 15, 1, p. 635–640 5 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A genetic-algorithm-based approach to optimization of bioprocesses described by fuzzy rules.
Angelov, P. & Guthke, R., 04/1997, In: Bioprocess and Biosystems Engineering. 16, 5, p. 299-303 5 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A Generalized Methodology for Data Analysis
Angelov, P. P., Gu, X. & Principe, J., 10/2018, In: IEEE Transactions on Cybernetics. 48, 10, p. 2981-2993 13 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A generalized approach to fuzzy optimization
Angelov, P., 1994, In: International Journal of Intelligent Systems. 9, 3, p. 261-268 8 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A general purpose intelligent surveillance system for mobile devices using deep learning
Antoniou, A. & Angelov, P. P., 24/07/2016, 2016 International Joint Conference on Neural Networks (IJCNN). Vancouver Canada: IEEE, p. 2879-2886 8 p. (Neural Networks (IJCNN), 2016 International Joint Conference on).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
A fuzzy controller with evolving structure.
Angelov, P., 5/04/2004, In: Information Sciences. 161, 1-2, p. 21-35 15 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A fuzzy approach to building thermal systems optimization.
Angelov, P., 06/1999. 4 p.
Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review
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/ISSN › Conference contribution/Paper › peer-review
Published
A Fast Recursive Approach to Autonomous Detection, Identification and Tracking of Multiple Objects in Video Streams under Uncertainties
Sadeghi-Tehran, P., Angelov, P. & Ramezani, R., 07/2010, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications : 13th International Conference, IPMU 2010, Dortmund, Germany, June 28–July 2, 2010. Proceedings, Part II. Hüllermeier, E., Kruse, R. & Hoffmann, F. (eds.). Berlin: Springer, p. 30-43 14 p. (Communications in Computer and Information Science; vol. 81).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
A fast approach to novelty detection in video streams using recursive density estimation.
Ramezani, R., Angelov, P. & Zhou, X., 8/09/2008, Intelligent Systems, 2008. IS '08. 4th International IEEE Conference. IEEE, p. 14-2 - 14-7 6 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
A Distance-Type-Insensitive Clustering Approach
Gu, X., Angelov, P. P. & Zhao, Z., 1/04/2019, In: Applied Soft Computing. 77, p. 622-634 13 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A Deep Rule-based Approach for Satellite Scene Image Analysis
Gu, X. & Angelov, P. P., 7/10/2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, p. 2778-2783 6 p. (2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
A computational protocol and software implementation (as a MATLAB application) for biomaker identification in infrared spectroscopy datasets
Trevisan, J., Angelov, P. & Martin, F., 2010, In: Nature Protocols.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A comprehensive review on handcrafted and learning-based action representation approaches for human activity recognition
Bux, A., Angelov, P. P. & Habib, Z., 23/01/2017, In: Applied Sciences. 7, 1, 37 p., 110.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A Comparative Study of two Approaches for Data-Driven Design of Evolving Fuzzy Systems: eTS and FLEXFIS
Angelov, P. & Lughofer, E., 02/2008, In: International Journal of General Systems. 37, 1, p. 45-67 23 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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/ISSN › Conference contribution/Paper › peer-review
Published
A centre-of-gravity-based recombination operator for genetic algorithms
Angelov, P. & Wright, J. A., 23/10/2000. 259 p.
Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review
Published
A center-of-gravity-based recombination operator for genetic algorithms
Angelov, P. P. & Wright, J. A., 1/01/2000, IECON Proceedings (Industrial Electronics Conference). IEEE Computer Society Press, p. 259-264 6 p. 973160. (IECON Proceedings (Industrial Electronics Conference); vol. 1).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
A cascade of deep learning fuzzy rule-based image classifier and SVM
Angelov, P. P. & Gu, X., 5/10/2017, Systems, Man, and Cybernetics (SMC), 2017 IEEE International Conference on: Human Intelligence for Systems and Cybernetics. IEEE, p. 746-751 6 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS-2012
Angelov, P. (Editor), Filev, D. (Editor), Kasabov, N. (Editor) & Iglesias, J. A. (Editor), 2012, IEEE. 107 p.
Research output: Book/Report/Proceedings › Proceedings
Published
2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems, ESDIS 2009 - Proceedings: Welcome Message
Angelov, P., Filev, D. & Kasabov, N., 20/07/2009, 2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems. IEEE, p. v 1 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Professor Plamen Angelov

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