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.

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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).

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Incremental anomaly identification in flight data analysis by adapted one-class SVM method

Kolev, D., Suvorov, M., Morozov, E., Markarian, G. & Angelov, P., 2015, Artificial neural networks: methods and applications in bio-/neuroinformatics. Koprinkova-Hristova, P., Mladenov, V. & Kasabov, N. K. (eds.). Springer, p. 373-391 19 p. (Springer Series in Bio-/Neuroinformatics; vol. 4).

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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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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).

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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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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.

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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.

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A real-time approach for autonomous detection and tracking of moving objects from UAV

Sadeghi Tehran, P., Clarke, C. & Angelov, P. P., 12/2014, 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS). Piscataway, N. J.: IEEE, p. 43-49 7 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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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.

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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.

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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.

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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.

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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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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 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.

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Incremental anomaly identification by adapted SVM method

Suvorov, M., Ivliev, S., Markarian, G., Kolev, D., Zvikhachevskiy, D. & Angelov, P., 08/2013, International Joint Conference on Neural Networks, IJCNN-2013, Dallas, TX, USA, 3-9 August, 2013. Piscataway, N.J.: IEEE, p. 1-8 8 p.

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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.

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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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Vehicle plate recognition using improved neocognitron neural network

Kangin, D., Kolev, G. & 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. 628-640 13 p. (Lecture Notes in Computer Science; vol. 8131).

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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.

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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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A practical implementation of self-evolving cloud-based control of a pilot plant

Costa, B., Skrjanc, I., Blazic, S. & Angelov, P., 2013, 2013 IEEE International Conference on Cybernetics, CYBCONF-2013, Lausanne, Switzerland13-15 June, 2013. Piscataway, N.J.: IEEE, p. 7-12 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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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.

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Evolving local means methods for clustering of streaming data

Dutta Baruah, R. & Angelov, P., 10/06/2012, Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on. IEEE Press, p. 2161-2168 8 p.

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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

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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.

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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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Evolving social network analysis: A case study on mobile phone data

Dutta Baruah, R. & Angelov, P., 2012, Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on. IEEE, p. 114-120 7 p.

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A Real-time Approach for Novelty Detection and Trajectories Analysis for Anomaly Recognition in Video Surveillance Systems

Sadeghi-Tehran, P. & Angelov, P., 2012, Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on . IEEE, p. 108-113 6 p.

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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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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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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.

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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.

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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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Evolving Human Activity Classifier from Sensor Streams

Iglesias, J. A., Angelov, P., Ledezma, A. & Sanchis, A., 04/2011, Evolving and Adaptive Intelligent Systems (EAIS), 2011 IEEE Workshop on. IEEE, p. 139-146 8 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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Using Evolving Fuzzy Models to predict Crude Oil Distillation Side Streams

Macias-Hernandez, J. J., Angelov, P. & Zhou, X., 2011, Computer-Aided Design, Manufacturing, Modeling and Simulation . He, X., Hua, E., Lin, Y. & Liu, X. (eds.). Zurich: Trans-Tech Publications, p. 432-437 6 p.

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Evolving intelligent systems

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, (Proceedings of the International Symposium on Evolving Intelligent Systems - A Symposium at the AISB 2010 Convention).

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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.

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User modeling : through statistical analysis and an evolving classifier

Iglesias, J., Angelov, P., Ledezma, A. & Sanchis, A., 07/2010, IEEE International Conference on Fuzzy Systems (FUZZ), 2010 . IEEE, p. 3226-3233 8 p.

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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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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).

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Forecasting Time-Series for NN GC1 using Evolving Takagi-Sugeno (eTS) Fuzzy Systems with On-line Inputs Selection

Andreu, J. & Angelov, P., 2010, 2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010). New York: IEEE, p. 1479-1483 5 p.

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Human Activity Recognition in Intelligent Home Environments: An Evolving Approach

Antonio Iglesias, J., Angelov, P., Ledezma, A. & Sanchis, A., 2010, ECAI 2010 - 19th European Conference on Artificial Intelligence. Coelho, H., Studer, R. & Wooldridge, M. (eds.). Amsterdam: IOS Press, p. 1047-1048 2 p.

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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.

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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.

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Modelling evolving user behaviours

Iglesias, J., Angelov, P., Ledezma, A. & Sanchis, A., 04/2009, IEEE Workshop on Evolving and Self-Developing Intelligent Systems, 2009. ESDIS '09. . IEEE, p. 16-23 8 p.

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