On-line Design of Takagi-Sugeno Models.

Angelov, P. & Filev, D., 2003, Fuzzy Sets and Systems – IFSA 2003. Biglic, T., de Baets, B. & Kaynak, O. (eds.). 2715/2 ed. Berlin/Heidelberg: Springer, Vol. 2715/2. p. 576-584 9 p. (Lecture Notes in Computer Science).

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

On-line Estimators for Ad-hoc Task Allocation: Extended Abstract

Shafipour Yourdshahi, E., Do Carmo Alves, M., Soriano Marcolino, L. & Angelov, P., 9/05/2020, Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020). ACM, p. 1999–2001 3 p.

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On-Line Estimators for Ad-Hoc Task Allocation

Shafipour Yourdshahi, E., Aparecido do Carmo Alves, M., Soriano Marcolino, L. & Angelov, P., 2020, Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020. Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems, p. 1999–2001 3 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 2020-May).

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Online evolving fuzzy rule-based prediction model for high frequency trading financial data stream

Gu, X., Angelov, P. P., Mohd Ali, A., Gruver, W. A. & Gaydadjiev, G., 25/05/2016, Evolving and Adaptive Intelligent Systems (EAIS), 2016 IEEE Conference on. IEEE, p. 169-175 7 p.

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Online fault detection based on typicality and eccentricity data analytics

Costa, B. S. J., Bezerra, C. G., Guedes, L. A. & Angelov, P. P., 12/07/2015, Proceedings of the 2015 International Joint Conference on Neural Networks (IJCNN). IEEE, p. 1-6 6 p.

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Online learning and prediction of data streams using dynamically evolving fuzzy approach

Dutta Baruah, R. & Angelov, P., 2013, Proceedings of the 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013). Piscataway, N.J.: IEEE, p. 1-6 6 p.

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Online Self-Evolving Fuzzy Controller for Autonomous Mobile Robots

Sadeghi-Tehran, P. & Angelov, P., 04/2011, Evolving and Adaptive Intelligent Systems (EAIS), 2011 IEEE Workshop on . IEEE, p. 100-107 8 p.

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Optimal control of biotechnological processes

Angelov, P., Zamdzhiev, N. & Tzonkov, S., 1993, 10th Control Conference, Wroczlaw, Poland. Wroczlaw, Poland, p. 171-172 2 p.

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

Optimal design synthesis of component-based systems using intelligent techniques

Angelov, P., Zhang, Y. & Wright, J. A., 2004, Do Smart Adaptive Systems Exist?. Gabrys, B., Leviska, K. & Strackelijan, J. (eds.). 173 ed. Berlin/Heidelberg: Springer, Vol. 173. p. 267-284 18 p. (Studies in Fuzziness and Soft Computing).

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

OSA: one-class recursive SVM algorithm with negative samples for fault detection

Suvorov, M., Ivliev, S., Markarian, G., Kolev, D., Zvikhachevskiy, D. & Angelov, P., 2013, Artificial neural networks and machine learning – ICANN 2013: 23rd International Conference on Artificial Neural Networks Sofia, Bulgaria, September 10-13, 2013. Proceedings. Mladenov, V., Koprinkova-Hristova, P., Palm, G., Villa, A. E. P., Appollini, B. & Kasabov, N. (eds.). Berlin: Springer Verlag, p. 194-207 14 p. (Lecture Notes in Computer Science; vol. 8131).

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Parallel computing TEDA for high frequency streaming data clustering

Gu, X., Angelov, P. P., Gutierrez, G., Iglesias, J. A. & Sanchi, A., 23/10/2016, Advances in Big Data: Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece. Angelov, P., Manolopoulos, Y., Iliadis, L., Roy, A. & Vellasco, M. (eds.). Cham: Springer, p. 238-253 16 p.

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PPFM: An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework

Yu, Z., Lu, Y., Angelov, P. & Suri, N., 29/03/2023, 2022 18th International Conference on Mobility, Sensing and Networking (MSN). IEEE, p. 502-509 8 p.

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Prediction of the attention area in ambient intelligence tasks

Shafi, J., Angelov, P. P. & Umair, M., 3/02/2016, Innovative issues in intelligent systems. Sgurev, V., Yager, R., Kacprzyk, J. & Jotsov, V. (eds.). Berlin: Springer, p. 33-56 24 p. (Studies in Computational Intelligence; vol. 623).

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

Preface

Corrales, J. C., Iglesias, J. A. & Angelov, P., 11/2018, Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change II: Proceedings of the 2nd International Conference of ICT for Adapting Agriculture to Climate Change (AACC’18), November 21–23, 2018, Cali, Colombia. Corrales, J. C., Angelov, P. & Iglesias, J. A. (eds.). Cham: Springer, p. v-vi 2 p. (Advances in Intelligent Systems and Computing; vol. 893).

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Preface

Angelov, P., Gegov, A., Jayne, C. & Shen, Q., 1/01/2017, 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. v-vi 2 p. (Advances in Intelligent Systems and Computing; vol. 513).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Other chapter contribution

Preface

Angelov, P. P. & Gu, X., 1/01/2019, Empirical Approach to Machine Learning. Cham: Springer, p. xv-xviii 4 p. (Studies in Computational Intelligence; vol. 800).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Other chapter contribution

Preface

Corrales, J. C., Iglesias, J. A. & Angelov, P., 1/01/2018, 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, Popayán, Colombia. Angelov, P., Iglesias, J. A. & Corrales, J. C. (eds.). Cham: Springer, p. v-vi 2 p. (Advances in Intelligent Systems and Computing; vol. 687).

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Preface

Angelov, P., Filev, D. P. & Kasabov, N., 14/04/2010, Evolving Intelligent Systems: Methodology and Applications. Angelov, P., Filav, D. P. & Kasabov, N. (eds.). John Wiley and Sons, p. VII-XIV 8 p.

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

Preface

Angelov, P., Filev, D., Kasabov, N. & Iglesias, J. A., 15/08/2012, 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems. IEEE, p. iii-iv 2 p.

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

Preface

Angelov, P., Filev, D., Kasabov, N., Lughofer, E., Klement, E. P., Saminger-Platz, S., Iglesias, J. A. & Sayed-Mouchaweh, M., 1/01/2014, 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS). IEEE, 2 p. 6867453

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

Preface

Chen, X., Qu, G., Angelov, P., Ferri, C., Lai, J. H. & Wani, A., 5/02/2014, 2014 13th International Conference on Machine Learning and Applications. IEEE, p. xiv 1 p.

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

Preface

Sayed-Mouchaweh, M., Fleury, A., Angelov, P., Lughofer, E. & Iglesias, J. A., 29/12/2015, 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS). IEEE, p. 1-2 2 p.

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

Preface

Maglogiannis, I., Angelov, P., Macintyre, J., Iliadis, L., Kolias, S. & Pimenidis, E., 5/06/2020, Artificial Intelligence Applications and Innovations: 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part I. Maglogiannis, I., Iliadis, L. & Pimenidis, E. (eds.). Cham: Springer, p. v-ix 5 p. (IFIP Advances in Information and Communication Technology; vol. 583).

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Preface

Maglogiannis, I., Angelov, P., Macintyre, J., Iliadis, L., Kolias, S. & Pimenidis, E., 5/06/2020, Artificial Intelligence Applications and Innovations: 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part II. Maglogiannis, I., Iliadis, L. & Pimenidis, E. (eds.). Cham: Springer, p. v-ix 5 p. (IFIP Advances in Information and Communication Technology; vol. 584).

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Preface

Maglogiannis, I., Angelov, P., Macintyre, J., Iliadis, L., Kolias, S. & Pimenidis, E., 5/06/2020, Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops: MHDW 2020 and 5G-PINE 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings. Maglogiannis, I., Iliadis, L. & Pimenidis, E. (eds.). Cham: Springer, p. v-vi 2 p. (IFIP Advances in Information and Communication Technology; vol. 585).

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Preface

Angelov, P., Papadopoulos, G. A., Castellano, G., Casalino, G., Lughofer, E. & Leite, D., 6/06/2022, 2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS). IEEE, Vol. 2022-May. (IEEE Conference on Evolving and Adaptive Intelligent Systems).

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Preface EIS -10

Angelov, P., Filev, D. & Kasabov, N., 1/12/2010, Proceedings of the International Symposium on Evolving Intelligent Systems - A Symposium at the AISB 2010 Convention. AISB

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

Prologue

Angelov, P. P., 31/05/2016, Handbook On Computational Intelligence (In 2 Volumes). World Scientific Publishing Co., p. xxiii

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RDE with forgetting: an approximate solution for large values of k with an application to fault detection problems

Bezerra, C. G., Costa, B., Guedes, L. A. & Angelov, P., 2015, Statistical learning and data sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Gammerman, A., Vovk, V. & Papadopoulos, H. (eds.). Springer, p. 169-178 10 p. (Lecture Notes in Computer Science; vol. 9047).

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

Real-time human activity recognition from wireless sensors using evolving fuzzy systems.

Andreu, J. & Angelov, P., 07/2010, IEEE International Conference on Fuzzy Systems (FUZZ), 2010 . IEEE, p. 2652-2659 8 p.

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Real-time novelty detection in video using background subtraction techniques: state of the art a practical review

Morris, G. & Angelov, P., 8/10/2014, 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE Press, p. 537-543 7 p.

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Real-time recognition of human activities from wearable sensors by evolving classifiers

Andreu, J., Dutta Baruah, R. & Angelov, P., 1/09/2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ). IEEE, p. 2786-2793 8 p.

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

Recovery of LSP Coefficients in VoIP Systems using Evolving Takagi-Sugeno Fuzzy MIMO Models

Jones, E., Angelov, P. & Xydeas, C., 8/09/2006, Evolving Fuzzy Systems, 2006 International Symposium on. IEEE, p. 208-214 7 p.

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Recursive SVM based on TEDA

Kangin, D. & Angelov, P., 2015, Statistical learning and data sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Gammerman, A., Vovk, V. & Papadopoulos, H. (eds.). Cham: Springer, p. 156-168 13 p. (Lecture Notes in Computer Science; vol. 9047).

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Robust End-to-End Hand Identification via Holistic Multi-Unit Knuckle Recognition

Vyas, R., Rahmani, H., Boswell-Challand, R., Angelov, P., Black, S. & Williams, B., 4/08/2021, International Joint Conference on Biometrics (IJCB-2021). Shenzhen, China: IEEE, p. 1-8 8 p. 9484356. (2021 IEEE International Joint Conference on Biometrics, IJCB 2021).

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Robust Evolving Cloud-based Controller (ReCCo)

Andonovski, G., Angelov, P. P., Blazic, S. & Skrjanc, I., 2/06/2017, 2017 Evolving and Adaptive Intelligent Systems (EAIS). IEEE, p. 1-6 6 p.

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Robust evolving cloud-based controller for a hydraulic plant

Angelov, P., Skrjanc, I. & Blazic, S., 2013, Proceedings of the 2013 IEEE Symposium Series on Computational Intelligence, SSCI-2013,16-19 April 2013, Singapore. Piscataway, N.J.: IEEE, p. 1-8 8 p.

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Robust evolving cloud-based controller in normalized data space for heat-exchanger plant

Andonovski, G., Blazic, S., Angelov, P. & Skrjanc, I., 09/2015, Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on. IEEE, p. 1-7 7 p.

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Robust evolving cloud-based PID control adjusted by gradient learning method

Skrjanc, I., Blazic, S. & Angelov, P., 2/06/2014, Proceedings 2014 IEEE Symposium on Evolving and Intelligent Systems, EAIS-2014. IEEE Xplore, p. 1-8 8 p.

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RTSDE: recursive total-sum-distances-based density estimation approach and its application for autonomous real-time video analytics

Angelov, P. & Wilding, A., 9/12/2014, 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS). Orlando, FL, USA: IEEE, p. 81-86 6 p.

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Self-evolving parameter-free Rule-based Controller: SPARC

Sadeghi-Tehran, P., Cara, A., Angelov, P., Pomares, H., Rojas, I. & Prieto, A., 2012, Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on. IEEE, p. 754-761 8 p.

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Self-Learning of Fuzzy-Rule-based Models by GA

Angelov, P., 10/1998, Proceedings International Conference on Intelligent Control, Sofia, Bulgaria, 14-16 October, 1998. p. 46-49 4 p.

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Self-Organising and Self-Learning Model for Soybean Yield Prediction

Alghamdi, M., Angelov, P., Rufino, M., Gimenez, R. & Almeida Soares, E., 16/12/2019, 2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019. Alsmirat, M. & Jararweh, Y. (eds.). IEEE, p. 441-446 6 p.

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Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks

Almeida Soares, E., Angelov, P. & Suri, N., 30/01/2023, Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022. Ishibuchi, H., Kwoh, C-K., Tan, A-H., Srinivasan, D., Miao, C., Trivedi, A. & Crockett, K. (eds.). IEEE, p. 1028-1035 8 p. (Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022).

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Simpl_eClass: simple potential-free evolving fuzzy rule-based on-line classifiers

Angelov, P., Dutta Baruah, R. & Andreu, J., 9/10/2011, Proceedings of 2011 IEEE International Conference on Systems, Man and Cybernetics, SMC 2011, Anchorage, Alaska, USA, 7-9 Oct, 2011. IEEE, p. 2249-2254 6 p.

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Simpl_eTS: a simplified method for learning evolving Takagi-Sugeno fuzzy models

Angelov, P. & Filev, D., 22/05/2005, Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on. IEEE, p. 1068-1073 6 p.

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Simplified Fuzzy Rule-based Systems using Non-parametric Antecedents and relative Data Density

Angelov, P. & Yager, R., 04/2011, Proceedings IEEE Symposium Series on Computational Intelligence, SSCI-2011, Paris. IEEE, p. 62-69 8 p.

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Soft sensor for predicting crude oil distillation side streams using Takagi Sugeno evolving fuzzy models

Macias-Hernandez, J. J., Angelov, P. & Zhou, X., 9/10/2007, Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on. IEEE, p. 3305-3310 6 p.

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Stochastic Computing co-processing elements for Evolving Autonomous Data Partitioning

Moran, A., Canals, V., Angelov, P. P., Frasser, C. F., Skibinsky-Gitlin, E. S., Font, J., Isern, E., Roca, M. & Rossello, J. L., 24/11/2021, 36th Conference on Design of Circuits and Integrated Systems, DCIS 2021. IEEE, p. 1-6 6 p. (36th Conference on Design of Circuits and Integrated Systems, DCIS 2021).

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Symbol recognition with a new autonomously evolving classifier autoclass

Angelov, P., Kangin, D., Xiaowei, Z. & Kolev, D., 06/2014, 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems. 9781479933471: IEEE, p. 1-6 6 p.

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Towards adaptive, self learning resilience strategies

Ali, A., Angelov, P. & Hutchinson, D., 15/03/2012, 6th International Workshop on Self Organizing Systems IWSOS-2012. Delft, The Netherlands

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

Towards an adaptive resilience strategy for future computer networks

Ali, A., Angelov, P. & Hutchison, D., 9/09/2011, Proceedings of the UKCI 2011, 7-9 Spetember, 2011, Manchester, UK. Manchester: University of Manchester, p. 201-206 6 p.

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Towards an autonomous resilience strategy the implementation of a self evolving rate limiter

Ali, A., Hutchinson, D., Angelov, P. & Smith, P., 09/2013, 13th UK Workshop on Computational Intelligence (UKCI), 2013 . Guildford, UK: UKCI 2013, p. 299-304 6 p.

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