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Plamen Angelov 0001
Person information
- affiliation: Lancaster University, School of Computing and Communications, Lancaster, UK
Other persons with the same name
- Plamen Angelov 0002
— University of Plovidv P. Hilendarski, Faculty of Chemistry, Bulgaria
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2020 – today
- 2024
- [j104]Eduardo A. Soares
, Plamen Angelov, Sarah Biaso, Marcelo Cury
, Daniel Abe:
A large multiclass dataset of CT scans for COVID-19 identification. Evol. Syst. 15(2): 635-640 (2024) - [j103]Zheheng Jiang, Hossein Rahmani, Plamen Angelov, Ritesh Vyas, Huiyu Zhou, Sue Black, Bryan M. Williams:
Deep orientated distance-transform network for geometric-aware centerline detection. Pattern Recognit. 146: 110028 (2024) - [j102]Ao Shen
, Yijie Zhu, Plamen Angelov
, Richard Jiang
:
Marine Debris Detection in Satellite Surveillance Using Attention Mechanisms. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 4320-4330 (2024) - [j101]Xiaowei Gu
, Plamen P. Angelov
, Qiang Shen
:
Semisupervised Fuzzily Weighted Adaptive Boosting for Classification. IEEE Trans. Fuzzy Syst. 32(4): 2318-2330 (2024) - [c123]Agil Aghasanli, Plamen Angelov:
Edge Implementation of Unsupervised Self-evolving Vision Classifier. EAIS 2024: 1-8 - [i18]Dmitry Kangin, Plamen Angelov:
Unsupervised Domain Adaptation within Deep Foundation Latent Spaces. CoRR abs/2402.14976 (2024) - [i17]Ziyang Zhang, Plamen Angelov
, Dmitry Kangin, Nicolas Longépé:
IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data. CoRR abs/2405.07916 (2024) - [i16]Alvaro Lopez Pellcier, Yi Li, Plamen Angelov:
PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection. CoRR abs/2406.15921 (2024) - [i15]Yi Li, Plamen Angelov, Zhengxin Yu, Alvaro Lopez Pellicer, Neeraj Suri:
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection. CoRR abs/2406.15925 (2024) - [i14]Alvaro Lopez Pellicer, Kittipos Giatgong, Yi Li, Neeraj Suri, Plamen Angelov:
UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification. CoRR abs/2406.16501 (2024) - [i13]Yi Li, Plamen Angelov, Neeraj Suri:
Self-Supervised Representation Learning for Adversarial Attack Detection. CoRR abs/2407.04382 (2024) - 2023
- [j100]Xiaowei Gu
, Jungong Han, Qiang Shen, Plamen P. Angelov:
Autonomous learning for fuzzy systems: a review. Artif. Intell. Rev. 56(8): 7549-7595 (2023) - [j99]Plamen Angelov, Dimitar P. Filev, Nikola K. Kasabov, Daniel Leite
, Maharadhika Pratama, Susanne Saminger-Platz
, Erich-Peter Klement
:
Obituary Edwin Lughofer (1972-2023). Evol. Syst. 14(5): 747-748 (2023) - [j98]Nicholas I. Arnold
, Plamen Angelov
, Peter M. Atkinson
:
An Improved Explainable Point Cloud Classifier (XPCC). IEEE Trans. Artif. Intell. 4(1): 71-80 (2023) - [j97]Ziping Jiang, Yunpeng Wang, Chang-Tsun Li
, Plamen Angelov
, Richard Jiang
:
Delve Into Neural Activations: Toward Understanding Dying Neurons. IEEE Trans. Artif. Intell. 4(4): 959-971 (2023) - [j96]Xiaowei Gu
, Plamen Angelov
, Jungong Han, Qiang Shen
:
Multilayer Evolving Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. 31(12): 4158-4169 (2023) - [c122]Matheus Aparecido do Carmo Alves, Elnaz Shafipour Yourdshahi, Amokh Varma, Leandro Soriano Marcolino, Jó Ueyama, Plamen Angelov:
On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork. AAMAS 2023: 140-142 - [c121]Agil Aghasanli, Dmitry Kangin, Plamen Angelov:
Interpretable-through-prototypes deepfake detection for diffusion models. ICCV (Workshops) 2023: 467-474 - [c120]Yi Li
, Plamen Angelov, Neeraj Suri:
Domain Generalization and Feature Fusion for Cross-domain Imperceptible Adversarial Attack Detection. IJCNN 2023: 1-8 - [c119]Yi Li, Plamen Angelov, Neeraj Suri:
Fuzzy Detectors Against Adversarial Attacks. SSCI 2023: 306-311 - [e18]Lazaros Iliadis
, Antonios Papaleonidas
, Plamen Angelov
, Chrisina Jayne
:
Artificial Neural Networks and Machine Learning - ICANN 2023 - 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part VII. Lecture Notes in Computer Science 14260, Springer 2023, ISBN 978-3-031-44194-3 [contents] - [e17]Lazaros Iliadis
, Antonios Papaleonidas
, Plamen Angelov
, Chrisina Jayne
:
Artificial Neural Networks and Machine Learning - ICANN 2023 - 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part VIII. Lecture Notes in Computer Science 14261, Springer 2023, ISBN 978-3-031-44197-4 [contents] - [e16]Lazaros Iliadis
, Antonios Papaleonidas
, Plamen Angelov
, Chrisina Jayne
:
Artificial Neural Networks and Machine Learning - ICANN 2023 - 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part IX. Lecture Notes in Computer Science 14262, Springer 2023, ISBN 978-3-031-44200-1 [contents] - [i12]Plamen Angelov, Dmitry Kangin, Ziyang Zhang:
Towards interpretable-by-design deep learning algorithms. CoRR abs/2311.11396 (2023) - 2022
- [j95]Elnaz Shafipour Yourdshahi, Matheus Aparecido do Carmo Alves
, Amokh Varma, Leandro Soriano Marcolino
, Jó Ueyama
, Plamen Angelov:
On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork. Auton. Agents Multi Agent Syst. 36(2): 45 (2022) - [j94]Zhao-Xu Yang, Hai-Jun Rong, Pak Kin Wong, Plamen Angelov
, Chi-Man Vong
, Chi-Chong Chiu, Zhi-Xin Yang:
A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine. Cogn. Comput. 14(2): 828-851 (2022) - [j93]Mona Alghamdi, Plamen Angelov, Lopez Pellicer Alvaro:
Person identification from fingernails and knuckles images using deep learning features and the Bray-Curtis similarity measure. Neurocomputing 513: 83-93 (2022) - [j92]Xiaowei Gu
, Ce Zhang
, Qiang Shen, Jungong Han, Plamen P. Angelov
, Peter M. Atkinson
:
A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification. Inf. Fusion 80: 179-204 (2022) - [j91]Mahardhika Pratama
, Edwin Lughofer, Plamen P. Angelov:
Editorial: Special issue on recent progress in autonomous machine learning. Inf. Sci. 595: 195-196 (2022) - [j90]Xiaowei Gu
, Plamen P. Angelov
, Ce Zhang
, Peter M. Atkinson
:
A Semi-Supervised Deep Rule-Based Approach for Complex Satellite Sensor Image Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2281-2292 (2022) - [j89]Ritesh Vyas
, Bryan M. Williams
, Hossein Rahmani
, Ricki Boswell-Challand, Zheheng Jiang, Plamen Angelov
, Sue Black:
Ensemble-Based Bounding Box Regression for Enhanced Knuckle Localization. Sensors 22(4): 1569 (2022) - [j88]Zhao-Xu Yang
, Hai-Jun Rong
, Plamen Angelov
, Zhi-Xin Yang
:
Statistically Evolving Fuzzy Inference System for Non-Gaussian Noises. IEEE Trans. Fuzzy Syst. 30(7): 2649-2664 (2022) - [j87]Xiaowei Gu
, Plamen P. Angelov
:
Multiclass Fuzzily Weighted Adaptive-Boosting-Based Self-Organizing Fuzzy Inference Ensemble Systems for Classification. IEEE Trans. Fuzzy Syst. 30(9): 3722-3735 (2022) - [j86]Xiaowei Gu
, Plamen P. Angelov
, Qiang Shen
:
Self-Organizing Fuzzy Belief Inference System for Classification. IEEE Trans. Fuzzy Syst. 30(12): 5473-5483 (2022) - [c118]Zheheng Jiang, Hossein Rahmani, Plamen Angelov, Sue Black, Bryan M. Williams:
Graph-context Attention Networks for Size-varied Deep Graph Matching. CVPR 2022: 2333-2342 - [c117]Nathanael L. Baisa, Bryan M. Williams, Hossein Rahmani, Plamen Angelov, Sue Black:
Multi-Branch with Attention Network for Hand-Based Person Recognition. ICPR 2022: 727-732 - [c116]Nathanael L. Baisa, Bryan M. Williams, Hossein Rahmani, Plamen Angelov, Sue Black:
Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning. IPTA 2022: 1-6 - [c115]Ziyang Zhang, Plamen Angelov, Eduardo Soares, Nicolas Longépé, Pierre-Philippe Mathieu:
An Interpretable Deep Semantic Segmentation Method for Earth Observation. IS 2022: 1-8 - [c114]Zhengxin Yu, Yang Lu, Plamen Angelov, Neeraj Suri:
PPFM: An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework. MSN 2022: 502-509 - [c113]Eduardo A. Soares, Plamen Angelov, Neeraj Suri:
Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks. SSCI 2022: 1028-1035 - [e15]Plamen Angelov, George A. Papadopoulos, Giovanna Castellano, José A. Iglesias, Gabriella Casalino, Edwin Lughofer, Daniel Leite:
IEEE International Conference on Evolving and Adaptive Intelligent System, EAIS 2022, Larnaca, Cyprus, May 25-26, 2022. IEEE 2022, ISBN 978-1-6654-3706-6 [contents] - [e14]Elias Pimenidis
, Plamen Angelov
, Chrisina Jayne
, Antonios Papaleonidas
, Mehmet Aydin
:
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13529, Springer 2022, ISBN 978-3-031-15918-3 [contents] - [e13]Elias Pimenidis
, Plamen Angelov
, Chrisina Jayne
, Antonios Papaleonidas
, Mehmet Aydin
:
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13530, Springer 2022, ISBN 978-3-031-15930-5 [contents] - [e12]Elias Pimenidis
, Plamen Angelov
, Chrisina Jayne
, Antonios Papaleonidas
, Mehmet Aydin
:
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13531, Springer 2022, ISBN 978-3-031-15933-6 [contents] - [e11]Elias Pimenidis
, Plamen Angelov
, Chrisina Jayne
, Antonios Papaleonidas
, Mehmet Aydin
:
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13532, Springer 2022, ISBN 978-3-031-15936-7 [contents] - [i11]Ziyang Zhang, Plamen Angelov, Eduardo Soares, Nicolas Longépé, Pierre-Philippe Mathieu:
An Interpretable Deep Semantic Segmentation Method for Earth Observation. CoRR abs/2210.12820 (2022) - 2021
- [j85]Farshad Firouzi
, Bahareh J. Farahani
, Mahmoud Daneshmand, Kathy Grise
, Jaeseung Song
, Roberto Saracco
, Lucy Lu Wang
, Kyle Lo, Plamen Angelov
, Eduardo A. Soares
, Po-Shen Loh, Zeynab Talebpour, Reza Moradi, Mohsen Goodarzi, Haleh Ashraf, Mohammad Talebpour, Alireza Talebpour, Luca Romeo
, Rupam Das
, Hadi Heidari
, Dana K. Pasquale
, James Moody, Chris Woods, Erich S. Huang
, Payam M. Barnaghi
, Majid Sarrafzadeh, Ron C. Li
, Kristen L. Beck
, Olexandr Isayev
, NakMyoung Sung, Alan Luo
:
Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World. IEEE Internet Things J. 8(16): 12826-12846 (2021) - [j84]Xiaowei Gu
, Plamen Angelov
, Zhijin Zhao:
Self-organizing fuzzy inference ensemble system for big streaming data classification. Knowl. Based Syst. 218: 106870 (2021) - [j83]Plamen Angelov, Eduardo A. Soares
:
Detecting and learning from unknown by extremely weak supervision: exploratory classifier (xClass). Neural Comput. Appl. 33(22): 15145-15157 (2021) - [j82]Xiaowei Gu
, Qiang Shen
, Plamen P. Angelov
:
Particle Swarm Optimized Autonomous Learning Fuzzy System. IEEE Trans. Cybern. 51(11): 5352-5363 (2021) - [j81]Eduardo A. Soares
, Plamen P. Angelov
, Bruno Costa, Marcos Castro, Subramanya Nageshrao, Dimitar P. Filev
:
Explaining Deep Learning Models Through Rule-Based Approximation and Visualization. IEEE Trans. Fuzzy Syst. 29(8): 2399-2407 (2021) - [j80]Zhao-Xu Yang
, Hai-Jun Rong, Pak-Kin Wong
, Plamen Angelov
, Zhi-Xin Yang
, Hang Wang
:
Self-Evolving Data Cloud-Based PID-Like Controller for Nonlinear Uncertain Systems. IEEE Trans. Ind. Electron. 68(5): 4508-4518 (2021) - [j79]Plamen P. Angelov
, Eduardo A. Soares
, Richard Jiang
, Nicholas I. Arnold
, Peter M. Atkinson
:
Explainable artificial intelligence: an analytical review. WIREs Data Mining Knowl. Discov. 11(5) (2021) - [c112]Alejandro Morán
, Vincent Canals, Plamen P. Angelov, Christiam F. Frasser, Erik S. Skibinsky-Gitlin, Joan Font
, Eugeni Isern, Miquel Roca, Josep L. Rosselló:
Stochastic Computing co-processing elements for Evolving Autonomous Data Partitioning. DCIS 2021: 1-6 - [c111]Ritesh Vyas, Hossein Rahmani, Ricki Boswell-Challand, Plamen Angelov, Sue Black, Bryan M. Williams:
Robust End-to-End Hand Identification via Holistic Multi-Unit Knuckle Recognition. IJCB 2021: 1-8 - [c110]Plamen Angelov:
Keynote: Explainable-by-design Deep Learning. PerCom Workshops 2021: 175 - [c109]Mona Alghamdi, Plamen Angelov
, Bryan M. Williams
:
Automated Person Identification Framework Based on Fingernails and Dorsal Knuckle Patterns. SSCI 2021: 1-8 - [i10]Nathanael L. Baisa, Zheheng Jiang, Ritesh Vyas, Bryan M. Williams
, Hossein Rahmani
, Plamen Angelov
, Sue Black:
Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning. CoRR abs/2101.05260 (2021) - [i9]Nathanael L. Baisa, Bryan M. Williams, Hossein Rahmani, Plamen Angelov, Sue Black:
Multi-Branch with Attention Network for Hand-Based Person Recognition. CoRR abs/2108.02234 (2021) - 2020
- [j78]Chia-Yen Chiang, Chloe Barnes
, Plamen Angelov
, Richard Jiang
:
Deep Learning-Based Automated Forest Health Diagnosis From Aerial Images. IEEE Access 8: 144064-144076 (2020) - [j77]Xiaowei Gu
, Plamen P. Angelov
:
Highly interpretable hierarchical deep rule-based classifier. Appl. Soft Comput. 92: 106310 (2020) - [j76]Eduardo A. Soares
, Plamen Angelov
, Xiaowei Gu
:
Autonomous Learning Multiple-Model zero-order classifier for heart sound classification. Appl. Soft Comput. 94: 106449 (2020) - [j75]Jianfeng Huang
, Plamen P. Angelov
, Chengliang Yin:
Interpretable policies for reinforcement learning by empirical fuzzy sets. Eng. Appl. Artif. Intell. 91: 103559 (2020) - [j74]Xiaowei Gu
, Plamen P. Angelov
, Eduardo A. Soares
:
A self-adaptive synthetic over-sampling technique for imbalanced classification. Int. J. Intell. Syst. 35(6): 923-943 (2020) - [j73]Clauber Gomes Bezerra
, Bruno Sielly Jales Costa
, Luiz Affonso Guedes
, Plamen Parvanov Angelov
:
An evolving approach to data streams clustering based on typicality and eccentricity data analytics. Inf. Sci. 518: 13-28 (2020) - [j72]Allah Bux Sargano
, Xiaowei Gu
, Plamen Angelov
, Zulfiqar Habib:
Human action recognition using deep rule-based classifier. Multim. Tools Appl. 79(41-42): 30653-30667 (2020) - [j71]Plamen Angelov
, Eduardo A. Soares
:
Towards explainable deep neural networks (xDNN). Neural Networks 130: 185-194 (2020) - [c108]Elnaz Shafipour Yourdshahi, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Plamen Angelov:
On-line Estimators for Ad-hoc Task Allocation. AAMAS 2020: 1999-2001 - [c107]Xiaowei Gu
, Muhammad Aurangzeb Khan
, Plamen Angelov
, Bikash Tiwary, Elnaz Shafipour Yourdshahi, Zhao-Xu Yang:
A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion. FUZZ-IEEE 2020: 1-10 - [c106]Maciej Jaworski
, Leszek Rutkowski
, Plamen Angelov
:
Concept Drift Detection Using Autoencoders in Data Streams Processing. ICAISC (1) 2020: 124-133 - [c105]Plamen Angelov
, Eduardo A. Soares
:
Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference. SMC 2020: 2092-2099 - [e10]Lazaros Iliadis, Plamen Parvanov Angelov, Chrisina Jayne, Elias Pimenidis:
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the EANN 2020, Halkidiki, Greece, June 5-7, 2020. Proceedings of the International Neural Networks Society 2, Springer 2020, ISBN 978-3-030-48790-4 [contents]Online only because of the COVID-19 pandemic. - [i8]Plamen Angelov
, Eduardo A. Soares
:
Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference. CoRR abs/2002.03776 (2020) - [i7]Chia-Yen Chiang, Chloe Barnes, Plamen Angelov, Richard Jiang:
Deep Learning based Automated Forest Health Diagnosis from Aerial Images. CoRR abs/2010.08437 (2020)
2010 – 2019
- 2019
- [b1]Plamen P. Angelov
, Xiaowei Gu
:
Empirical Approach to Machine Learning. Studies in Computational Intelligence 800, Springer 2019, ISBN 978-3-030-02383-6 - [j70]Xiaowei Gu
, Plamen Angelov
:
Self-boosting first-order autonomous learning neuro-fuzzy systems. Appl. Soft Comput. 77: 118-134 (2019) - [j69]Xiaowei Gu
, Plamen Angelov
, Zhijin Zhao:
A distance-type-insensitive clustering approach. Appl. Soft Comput. 77: 622-634 (2019) - [j68]Xiaowei Gu
, Plamen Angelov
, Hai-Jun Rong:
Local optimality of self-organising neuro-fuzzy inference systems. Inf. Sci. 503: 351-380 (2019) - [j67]Pouria Sadeghi-Tehran
, Plamen Angelov
, Nicolas Virlet
, Malcolm J. Hawkesford
:
Scalable Database Indexing and Fast Image Retrieval Based on Deep Learning and Hierarchically Nested Structure Applied to Remote Sensing and Plant Biology. J. Imaging 5(3): 33 (2019) - [c104]Eduardo A. Soares, Plamen Angelov, Dimitar P. Filev, Bruno Costa, Marcos Castro, Subramanya Nageshrao:
Explainable Density-Based Approach for Self-Driving Actions Classification. ICMLA 2019: 469-474 - [c103]Xiaowei Gu
, Plamen P. Angelov
:
Deep Rule-Based Aerial Scene Classifier using High-Level Ensemble Feature Descriptor. IJCNN 2019: 1-7 - [c102]Eduardo A. Soares
, Plamen Angelov
, Bruno Costa, Marcos Castro:
Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios. IJCNN 2019: 1-8 - [c101]Xiaowei Gu
, Plamen P. Angelov
:
A Semi-supervised Deep Rule-Based Approach for Remote Sensing Scene Classification. INNSBDDL 2019: 257-266 - [c100]Mona Alghamdi, Plamen Angelov
, Raul Gimenez, Mariana C. Rufino
, Eduardo A. Soares
:
Self-Organising and Self-Learning Model for Soybean Yield Prediction. SNAMS 2019: 441-446 - [i6]Eduardo A. Soares, Plamen Angelov:
Fair-by-design explainable models for prediction of recidivism. CoRR abs/1910.02043 (2019) - [i5]Eduardo A. Soares
, Plamen Angelov
:
Novelty Detection and Learning from Extremely Weak Supervision. CoRR abs/1911.00616 (2019) - [i4]Xiaowei Gu
, Plamen P. Angelov
, Eduardo Almeida Soares
:
A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification. CoRR abs/1911.11018 (2019) - [i3]Plamen Angelov
, Eduardo A. Soares
:
Towards Explainable Deep Neural Networks (xDNN). CoRR abs/1912.02523 (2019) - [i2]Xiaowei Gu, Muhammad Aurangzeb Khan
, Plamen Angelov, Bikash Tiwary, Elnaz Shafipour Yourdshahi, Zhao-Xu Yang:
A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion. CoRR abs/1912.08057 (2019) - 2018
- [j66]Xiaowei Gu
, Plamen P. Angelov
:
Semi-supervised deep rule-based approach for image classification. Appl. Soft Comput. 68: 53-68 (2018) - [j65]Plamen P. Angelov
, Xiaowei Gu
:
Toward Anthropomorphic Machine Learning. Computer 51(9): 18-27 (2018) - [j64]Plamen P. Angelov
, Xiaowei Gu
:
Empirical Fuzzy Sets. Int. J. Intell. Syst. 33(2): 362-395 (2018) - [j63]Xiaowei Gu, Plamen Angelov, Dmitry Kangin, José C. Príncipe:
Self-Organised direction aware data partitioning algorithm. Inf. Sci. 423: 80-95 (2018) - [j62]Mahardhika Pratama
, Plamen P. Angelov
, Edwin Lughofer, Meng Joo Er:
Parsimonious random vector functional link network for data streams. Inf. Sci. 430: 519-537 (2018) - [j61]Xiaowei Gu
, Plamen P. Angelov
:
Self-organising fuzzy logic classifier. Inf. Sci. 447: 36-51 (2018) - [j60]Xiaowei Gu
, Plamen P. Angelov
, José C. Príncipe:
A method for autonomous data partitioning. Inf. Sci. 460-461: 65-82 (2018) - [j59]Plamen P. Angelov
, Xiaowei Gu
:
Deep rule-based classifier with human-level performance and characteristics. Inf. Sci. 463-464: 196-213 (2018) - [j58]José de Jesús Rubio
, Edwin Lughofer, Plamen Angelov
, Juan Francisco Novoa, Jesús A. Meda-Campaña
:
A novel algorithm for the modeling of complex processes. Kybernetika 54(1): 79-95 (2018) - [j57]Xiaowei Gu
, Plamen P. Angelov
, Ce Zhang
, Peter M. Atkinson
:
A Massively Parallel Deep Rule-Based Ensemble Classifier for Remote Sensing Scenes. IEEE Geosci. Remote. Sens. Lett. 15(3): 345-349 (2018) - [j56]Plamen Angelov
, Changjing Shang, Fei Chao:
The 16th Annual UK Workshop on Computational Intelligence. Soft Comput. 22(10): 3123-3124 (2018) - [j55]Azliza Mohd Ali
, Plamen Angelov
:
Anomalous behaviour detection based on heterogeneous data and data fusion. Soft Comput. 22(10): 3187-3201 (2018) - [j54]Plamen P. Angelov
, Xiaowei Gu
, José C. Príncipe:
A Generalized Methodology for Data Analysis. IEEE Trans. Cybern. 48(10): 2981-2993 (2018) - [j53]Rong-Jing Bao, Hai-Jun Rong
, Plamen P. Angelov
, Badong Chen
, Pak-Kin Wong
:
Correntropy-Based Evolving Fuzzy Neural System. IEEE Trans. Fuzzy Syst. 26(3): 1324-1338 (2018) - [j52]Plamen P. Angelov
, Xiaowei Gu
, José C. Príncipe:
Autonomous Learning Multimodel Systems From Data Streams. IEEE Trans. Fuzzy Syst. 26(4): 2213-2224 (2018) - [j51]Hai-Jun Rong
, Plamen P. Angelov
, Xiaowei Gu
, Jian-Ming Bai:
Stability of Evolving Fuzzy Systems Based on Data Clouds. IEEE Trans. Fuzzy Syst. 26(5): 2774-2784 (2018) - [c99]Plamen Angelov:
Empirical Approach to Learning from Data (Streams). ENASE 2018: 7-8 - [c98]Elnaz Shafipour Yourdshahi, Thomas Pinder, Gauri Dhawan, Leandro Soriano Marcolino
, Plamen Angelov
:
Towards Large Scale Ad-hoc Teamwork. ICA 2018: 44-49 - [c97]Plamen Angelov:
Empirical Approach to Learning from Data (Streams). ICEIS (1) 2018: 7-8 - [c96]Yoke Leng Yong
, Yunli Lee
, Xiaowei Gu
, Plamen P. Angelov
, David Chek Ling Ngo, Elnaz Shafipour:
Foreign currency exchange rate prediction using neuro-fuzzy systems. INNS Conference on Big Data 2018: 232-238 - [c95]Xiaowei Gu
, Plamen Angelov
:
A Deep Rule-Based Approach for Satellite Scene Image Analysis. SMC 2018: 2778-2783 - [c94]Elnaz Shafipour Yourdshahi, Plamen Angelov
, Leandro Soriano Marcolino
, Georgios Tsianakas:
Towards Evolving Cooperative Mapping for Large-Scale UAV Teams. SSCI 2018: 2262-2269 - [c93]Plamen Angelov
:
How Best to Design Fuzzy Sets and Systems - In Memory of Prof. Lotfi A. Zadeh. WILF 2018: 236-239 - [e9]Plamen Angelov, Yannis Manolopoulos, Edwin Lughofer, Lazaros S. Iliadis:
2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2018, Rhodes, Greece, May 25-27, 2018. IEEE 2018, ISBN 978-1-5386-1376-4 [contents] - [e8]Seiichi Ozawa, Ah-Hwee Tan, Plamen P. Angelov, Asim Roy, Mahardhika Pratama:
INNS Conference on Big Data and Deep Learning 2018, Sanur, Bali, Indonesia, 17-19 April 2018. Procedia Computer Science 144, Elsevier 2018 [contents] - 2017
- [j50]Nadia Nedjah
, Plamen Angelov
, Oscar Castillo
, Luiza de Macedo Mourelle
, Chao Wang:
Editorial Soft Computing Applied to Swarm Robotics. Appl. Soft Comput. 57: 696-697 (2017) - [j49]Xiaowei Gu
, Plamen P. Angelov
, Dmitry Kangin, José C. Príncipe:
A new type of distance metric and its use for clustering. Evol. Syst. 8(3): 167-177 (2017) - [j48]Plamen Angelov
, Pouria Sadeghi-Tehran:
Look-a-Like: A Fast Content-Based Image Retrieval Approach Using a Hierarchically Nested Dynamically Evolving Image Clouds and Recursive Local Data Density. Int. J. Intell. Syst. 32(1): 82-103 (2017) - [j47]Plamen Angelov
, Xiaowei Gu
, Dmitry Kangin:
Empirical Data Analytics. Int. J. Intell. Syst. 32(12): 1261-1284 (2017) - [j46]Richard Hyde
, Plamen Angelov
, Angus Robert MacKenzie
:
Fully online clustering of evolving data streams into arbitrarily shaped clusters. Inf. Sci. 382-383: 96-114 (2017) - [j45]Plamen Angelov
, Pouria Sadeghi-Tehran, Christopher Clarke
:
AURORA: autonomous real-time on-board video analytics. Neural Comput. Appl. 28(5): 855-865 (2017) - [c92]Plamen Angelov
, Xiaowei Gu
:
MICE: Multi-Layer Multi-Model Images Classifier Ensemble. CYBCONF 2017: 1-8 - [c91]Xiaofeng Wang, Azliza Mohd Ali
, Plamen Angelov
:
Gender and Age Classification of Human Faces for Automatic Detection of Anomalous Human Behaviour. CYBCONF 2017: 1-6 - [c90]Goran Andonovski, Plamen Angelov, Saso Blazic
, Igor Skrjanc:
Robust Evolving Cloud-based Controller (RECCo). EAIS 2017: 1-6 - [c89]Plamen Angelov, Xiaowei Gu:
Autonomous learning multi-model classifier of 0-Order (ALMMo-0). EAIS 2017: 1-7 - [c88]Xiaowei Gu, Plamen Angelov:
Autonomous anomaly detection. EAIS 2017: 1-8 - [c87]Allah Bux Sargano
, Xiaofeng Wang, Plamen Angelov
, Zulfiqar Habib:
Human action recognition using transfer learning with deep representations. IJCNN 2017: 463-469 - [c86]Plamen Angelov, Xiaowei Gu, José C. Príncipe:
Fast feedforward non-parametric deep learning network with automatic feature extraction. IJCNN 2017: 534-541 - [c85]Mahardhika Pratama
, Plamen P. Angelov
, Jie Lu, Edwin Lughofer, Manjeevan Seera
, Chee Peng Lim:
A randomized neural network for data streams. IJCNN 2017: 3423-3430 - [c84]Plamen Angelov
, Xiaowei Gu
:
A cascade of deep learning fuzzy rule-based image classifier and SVM. SMC 2017: 746-751 - [e7]Plamen Angelov, Yannis Manolopoulos, Lazaros S. Iliadis, Asim Roy, Marley M. B. R. Vellasco:
Advances in Big Data - Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece. Advances in Intelligent Systems and Computing 529, 2017, ISBN 978-3-319-47897-5 [contents] - [e6]Plamen Angelov
, Alexander E. Gegov, Chrisina Jayne
, Qiang Shen:
Advances in Computational Intelligence Systems - Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7-9, 2016, Lancaster, UK. Advances in Intelligent Systems and Computing 513, Springer 2017, ISBN 978-3-319-46561-6 [contents] - [i1]Mahardhika Pratama, Plamen P. Angelov, Edwin Lughofer, Meng Joo Er:
Parsimonious Random Vector Functional Link Network for Data Streams. CoRR abs/1704.02789 (2017) - 2016
- [j44]Goran Andonovski, Plamen Angelov
, Saso Blazic
, Igor Skrjanc:
A practical implementation of Robust Evolving Cloud-based Controller with normalized data space for heat-exchanger plant. Appl. Soft Comput. 48: 29-38 (2016) - [j43]Clauber Gomes Bezerra, Bruno Sielly Jales Costa, Luiz Affonso Guedes
, Plamen Parvanov Angelov
:
An evolving approach to unsupervised and Real-Time fault detection in industrial processes. Expert Syst. Appl. 63: 134-144 (2016) - [j42]Dmitry Kangin
, Plamen Angelov
, José Antonio Iglesias
:
Autonomously evolving classifier TEDAClass. Inf. Sci. 366: 1-11 (2016) - [c83]Clauber Gomes Bezerra, Bruno Sielly Jales Costa, Luiz Affonso Guedes
, Plamen Parvanov Angelov
:
A new evolving clustering algorithm for online data streams. EAIS 2016: 162-168 - [c82]Xiaowei Gu
, Plamen P. Angelov
, Azliza Mohd Ali
, William A. Gruver, Georgi Gaydadjiev
:
Online evolving fuzzy rule-based prediction model for high frequency trading financial data stream. EAIS 2016: 169-175 - [c81]Plamen Angelov, Alessandro Sperduti:
Challenges in Deep Learning. ESANN 2016 - [c80]Bruno Sielly Jales Costa, Clauber Gomes Bezerra, Luiz Affonso Guedes
, Plamen Parvanov Angelov
:
Unsupervised classification of data streams based on Typicality and Eccentricity Data Analytics. FUZZ-IEEE 2016: 58-63 - [c79]Plamen P. Angelov, Xiaowei Gu, Germán Gutiérrez, José Antonio Iglesias, Araceli Sanchis:
Autonomous Data Density based clustering method. IJCNN 2016: 2405-2413 - [c78]Antreas Antoniou, Plamen Angelov
:
A general purpose intelligent surveillance system for mobile devices using Deep Learning. IJCNN 2016: 2879-2886 - [c77]Xiaowei Gu
, Plamen P. Angelov
, Germán Gutiérrez, José Antonio Iglesias, Araceli Sanchis:
Parallel Computing TEDA for High Frequency Streaming Data Clustering. INNS Conference on Big Data 2016: 238-253 - [c76]Plamen Angelov
, Xiaowei Gu
, Dmitry Kangin, José C. Príncipe:
Empirical data analysis: A new tool for data analytics. SMC 2016: 52-59 - [c75]Xiaowei Gu
, Plamen P. Angelov
:
Autonomous data-driven clustering for live data stream. SMC 2016: 1128-1135 - [c74]Plamen Angelov
, Xiaowei Gu
:
Local modes-based free-shape data partitioning. SSCI 2016: 1-8 - [c73]Azliza Mohd Ali
, Plamen Angelov
, Xiaowei Gu
:
Detecting Anomalous Behaviour Using Heterogeneous Data. UKCI 2016: 253-273 - [c72]Allah Bux Sargano
, Plamen Angelov
, Zulfiqar Habib
:
Vision Based Human Activity Recognition: A Review. UKCI 2016: 341-371 - [e5]Plamen Angelov
, Sotir Sotirov:
Imprecision and Uncertainty in Information Representation and Processing - New Tools Based on Intuitionistic Fuzzy Sets and Generalized Nets. Studies in Fuzziness and Soft Computing 332, Springer 2016, ISBN 978-3-319-26301-4 [contents] - 2015
- [j41]Radu-Emil Precup
, Hans Hellendoorn, Plamen Angelov
:
Synergy of computers, cognition, communication and control with industrial applications. Comput. Ind. 74: 71-74 (2015) - [j40]Radu-Emil Precup
, Plamen Angelov
, Bruno Sielly Jales Costa, Moamar Sayed Mouchaweh:
An overview on fault diagnosis and nature-inspired optimal control of industrial process applications. Comput. Ind. 74: 75-94 (2015) - [j39]Bruno Sielly Jales Costa
, Plamen Parvanov Angelov
, Luiz Affonso Guedes
:
Fully unsupervised fault detection and identification based on recursive density estimation and self-evolving cloud-based classifier. Neurocomputing 150: 289-303 (2015) - [c71]Richard Hyde
, Plamen Angelov
:
A new online clustering approach for data in arbitrary shaped clusters. CYBCONF 2015: 228-233 - [c70]Goran Andonovski, Saso Blazic
, Plamen Angelov
, Igor Skrjanc:
Analysis of adaptation law of the robust evolving cloud-based controller. EAIS 2015: 1-7 - [c69]Moamar Sayed Mouchaweh, Anthony Fleury, Plamen Angelov
, Edwin Lughofer, José Antonio Iglesias
:
Preface. EAIS 2015: 1-2 - [c68]Goran Andonovski, Saso Blazic
, Plamen Angelov
, Igor Skrjanc:
Robust Evolving Cloud-based Controller in normalized data space for heat-exchanger plant. FUZZ-IEEE 2015: 1-7 - [c67]Clauber Gomes Bezerra, Bruno Sielly Jales Costa, Luiz Affonso Guedes
, Plamen Parvanov Angelov
:
A comparative study of autonomous learning outlier detection methods applied to fault detection. FUZZ-IEEE 2015: 1-7 - [c66]Plamen Angelov
:
Typicality distribution function - A new density-based data analytics tool. IJCNN 2015: 1-8 - [c65]Bruno Sielly Jales Costa, Clauber Gomes Bezerra, Luiz Affonso Guedes
, Plamen Parvanov Angelov
:
Online fault detection based on Typicality and Eccentricity Data Analytics. IJCNN 2015: 1-6 - [c64]Dmitry Kangin, Plamen Angelov
:
Evolving clustering, classification and regression with TEDA. IJCNN 2015: 1-8 - [c63]Plamen Angelov
, Pouria Sadeghi-Tehran:
A Nested Hierarchy of Dynamically Evolving Clouds for Big Data Structuring and Searching. INNS Conference on Big Data 2015: 1-8 - [c62]Dmitry Kangin, Plamen Angelov
, José Antonio Iglesias
, Araceli Sanchis
:
Evolving Classifier TEDAClass for Big Data. INNS Conference on Big Data 2015: 9-18 - [c61]Dmitry Kangin, Plamen Angelov
:
Recursive SVM Based on TEDA. SLDS 2015: 156-168 - [c60]Clauber Gomes Bezerra, Bruno Sielly Jales Costa, Luiz Affonso Guedes
, Plamen Parvanov Angelov
:
RDE with Forgetting: An Approximate Solution for Large Values of k with an Application to Fault Detection Problems. SLDS 2015: 169-178 - [c59]Gruffydd Morris, Plamen Angelov
:
Edge Flow. SMC 2015: 1942-1948 - [p2]Plamen P. Angelov
, Igor Skrjanc, Saso Blazic:
A Robust Evolving Cloud-Based Controller. Handbook of Computational Intelligence 2015: 1435-1449 - [e4]Asim Roy, Plamen Angelov, Adel M. Alimi, Ganesh Kumar Venayagamoorthy, Theodore B. Trafalis:
INNS Conference on Big Data 2015, San Francisco, CA, USA, 8-10 August 2015. Procedia Computer Science 53, Elsevier 2015 [contents] - [e3]Plamen Angelov
, Krassimir T. Atanassov, Lyubka Doukovska, Mincho Hadjiski, Vladimir Simov Jotsov, Janusz Kacprzyk, Nikola K. Kasabov, Sotir Sotirov, Eulalia Szmidt, Slawomir Zadrozny
:
Intelligent Systems'2014 - Proceedings of the 7th International Conference Intelligent Systems IEEE IS'2014, September 24-26, 2014, Warsaw, Poland, Volume 1: Mathematical Foundations, Theory, Analyses. Advances in Intelligent Systems and Computing 322, Springer 2015, ISBN 978-3-319-11312-8 [contents] - 2014
- [j38]Plamen Angelov
:
Outside the box: an alternative data analytics framework. J. Autom. Mob. Robotics Intell. Syst. 8(2): 29-35 (2014) - [j37]Christopher Clarke
, Plamen Angelov
:
SARIVA: Smartphone APP for Real-time Intelligent Video Analytics. J. Autom. Mob. Robotics Intell. Syst. 8(4): 15-19 (2014) - [j36]Rashmi Dutta Baruah, Plamen Angelov
:
DEC: Dynamically Evolving Clustering and Its Application to Structure Identification of Evolving Fuzzy Models. IEEE Trans. Cybern. 44(9): 1619-1631 (2014) - [j35]Mahardhika Pratama
, Sreenatha G. Anavatti, Plamen P. Angelov
, Edwin Lughofer:
PANFIS: A Novel Incremental Learning Machine. IEEE Trans. Neural Networks Learn. Syst. 25(1): 55-68 (2014) - [c58]Plamen Angelov
, Dmitry Kangin, Xiaowei Zhou, Denis Kolev:
Symbol recognition with a new autonomously evolving classifier autoclass. EAIS 2014: 1-7 - [c57]Rashmi Dutta Baruah, Plamen Angelov
, Diganta Baruah:
Dynamically evolving clustering for data streams. EAIS 2014: 1-6 - [c56]Igor Skrjanc, Saso Blazic, Plamen Angelov
:
Robust evolving cloud-based PID control adjusted by gradient learning method. EAIS 2014: 1-8 - [c55]Plamen Angelov
:
Anomaly detection based on eccentricity analysis. EALS 2014: 1-8 - [c54]Pouria Sadeghi-Tehran, Christopher Clarke
, Plamen Angelov
:
A real-time approach for autonomous detection and tracking of moving objects from UAV. EALS 2014: 43-49 - [c53]Plamen Angelov
, Ashley Wilding:
RTSDE: Recursive total-sum-distances-based density estimation approach and its application for autonomous real-time video analytics. EALS 2014: 81-86 - [c52]Richard Hyde
, Plamen Angelov
:
A fully autonomous Data Density based Clustering technique. EALS 2014: 116-123 - [c51]Rashmi Dutta Baruah, Plamen Angelov
, Diganta Baruah:
Dynamically evolving fuzzy classifier for real-time classification of data streams. FUZZ-IEEE 2014: 383-389 - [c50]Bruno Sielly Jales Costa, Plamen Parvanov Angelov
, Luiz Affonso Guedes
:
A new unsupervised approach to fault detection and identification. IJCNN 2014: 1557-1564 - [c49]Pouria Sadeghi-Tehran, Plamen Angelov
:
ATDT: Autonomous Template-Based Detection and Tracking of Objects from Airborne Camera. IEEE Conf. on Intelligent Systems (2) 2014: 555-565 - [c48]Gruffydd Morris, Plamen Angelov
:
Real-time novelty detection in video using background subtraction techniques: State of the art a practical review. SMC 2014: 537-543 - [c47]Richard Hyde
, Plamen Angelov
:
Data density based clustering. UKCI 2014: 1-7 - 2013
- [j34]Júlio Trevisan, Plamen P. Angelov
, Andrew D. Scott, Paul L. Carmichael
, Francis L. Martin
:
IRootLab: a free and open-source MATLAB toolbox for vibrational biospectroscopy data analysis. Bioinform. 29(8): 1095-1097 (2013) - [j33]Rashmi Dutta Baruah, Plamen Angelov
:
Analysis of evolving social network: methods and results from cell phone dataset case study. Int. J. Soc. Netw. Min. 1(3/4): 254-279 (2013) - [j32]Plamen Angelov
, Ronald R. Yager:
Density-based averaging - A new operator for data fusion. Inf. Sci. 222: 163-174 (2013) - [j31]Javier Andreu
, Plamen Angelov
:
Towards generic human activity recognition for ubiquitous applications. J. Ambient Intell. Humaniz. Comput. 4(2): 155-156 (2013) - [j30]Javier Andreu
, Plamen Angelov
:
An evolving machine learning method for human activity recognition systems. J. Ambient Intell. Humaniz. Comput. 4(2): 195-206 (2013) - [c46]Bruno Sielly Jales Costa, Igor Skrjanc, Saso Blazic
, Plamen Angelov
:
A practical implementation of self-evolving cloud-based control of a pilot plant. CYBCONF 2013: 7-12 - [c45]Plamen Angelov
, Igor Skrjanc, Saso Blazic
:
Robust evolving cloud-based controller for a hydraulic plant. EAIS 2013: 1-8 - [c44]Denis Kolev, Plamen Angelov
, Garegin Markarian
, Mikhail Suvorov, S. Lysanov:
ARFA: Automated real-time flight data analysis using evolving clustering, classifiers and recursive density estimation. EAIS 2013: 91-97 - [c43]Rashmi Dutta Baruah, Plamen Angelov
:
Online learning and prediction of data streams using dynamically evolving fuzzy approach. FUZZ-IEEE 2013: 1-8 - [c42]Mikhail Suvorov, Sergey Ivliev
, Garegin Markarian
, Denis Kolev, Dmitry Zvikhachevskiy, Plamen Angelov
:
OSA: One-Class Recursive SVM Algorithm with Negative Samples for Fault Detection. ICANN 2013: 194-207 - [c41]Dmitry Kangin, George Kolev, Plamen Angelov
:
Vehicle Plate Recognition Using Improved Neocognitron Neural Network. ICANN 2013: 628-640 - [c40]Mikhail Suvorov, Sergey Ivliev
, Garegin Markarian
, Denis Kolev, Dmitry Zvikhachevskiy, Plamen Angelov
:
Incremental anomaly identification by adapted SVM method. IJCNN 2013: 1-7 - [c39]Azman Ali, David Hutchison, Plamen Angelov
, Paul Smith:
Towards an autonomous resilience strategy the implementation of a self evolving rate limiter. UKCI 2013: 299-304 - 2012
- [j29]Plamen Angelov
, Ronald R. Yager:
A new type of simplified fuzzy rule-based system. Int. J. Gen. Syst. 41(2): 163-185 (2012) - [j28]José Antonio Iglesias
, Plamen Angelov
, Agapito Ledezma
, Araceli Sanchis
:
Creating Evolving User Behavior Profiles Automatically. IEEE Trans. Knowl. Data Eng. 24(5): 854-867 (2012) - [c38]Pouria Sadeghi-Tehran
, Sasmita Behera, Plamen Angelov
, Javier Andreu
:
Autonomous visual self-localization in completely unknown environment. EAIS 2012: 90-95 - [c37]Plamen Angelov
, Javier Andreu
, Tu Vuong:
Automatic mobile photographer and picture diary. EAIS 2012: 102-107 - [c36]Pouria Sadeghi-Tehran
, Plamen Angelov
:
A real-time approach for novelty detection and trajectories analysis for anomaly recognition in video surveillance systems. EAIS 2012: 108-113 - [c35]Rashmi Dutta Baruah, Plamen Angelov
:
Evolving social network analysis: A case study on mobile phone data. EAIS 2012: 114-120 - [c34]Rashmi Dutta Baruah, Plamen Angelov
:
Evolving local means method for clustering of streaming data. FUZZ-IEEE 2012: 1-8 - [c33]Pouria Sadeghi-Tehran
, Ana Belén Cara, Plamen Angelov
, Héctor Pomares
, Ignacio Rojas, Alberto Prieto:
Self-evolving parameter-free Rule-based Controller. FUZZ-IEEE 2012: 1-8 - [c32]Azman Ali, David Hutchison, Plamen Angelov, Paul Smith:
Adaptive resilience for computer networks: Using online fuzzy learning. ICUMT 2012: 772-778 - [c31]Plamen Angelov
, Chirag Gude, Pouria Sadeghi-Tehran
, Tsvetan Ivanov:
ARTOT: Autonomous real-time object detection and tracking by a moving camera. IEEE Conf. of Intelligent Systems 2012: 446-452 - [e2]Plamen Angelov, Dimitar P. Filev, Nikola K. Kasabov, José Antonio Iglesias, Germán Gutiérrez:
2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2012, Madrid, Spain, May 17-18, 2012. IEEE 2012, ISBN 978-1-4673-1727-6 [contents] - 2011
- [j27]Edwin Lughofer, Plamen Angelov
:
Handling drifts and shifts in on-line data streams with evolving fuzzy systems. Appl. Soft Comput. 11(2): 2057-2068 (2011) - [j26]Plamen Angelov
, Pouria Sadeghi-Tehran, Ramin Ramezani:
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. Int. J. Intell. Syst. 26(3): 189-205 (2011) - [j25]José de Jesús Rubio
, Plamen Angelov
, Jaime Pacheco
:
Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network. IEEE Trans. Neural Networks 22(3): 356-366 (2011) - [j24]Plamen Angelov
:
Fuzzily Connected Multimodel Systems Evolving Autonomously From Data Streams. IEEE Trans. Syst. Man Cybern. Part B 41(4): 898-910 (2011) - [j23]Rashmi Dutta Baruah, Plamen Angelov
:
Evolving fuzzy systems for data streams: a survey. WIREs Data Mining Knowl. Discov. 1(6): 461-476 (2011) - [c30]Plamen Angelov, Ronald R. Yager:
Simplified fuzzy rule-based systems using non-parametric antecedents and relative data density. EAIS 2011: 62-69 - [c29]Pouria Sadeghi-Tehran
, Plamen Angelov
:
Online self-evolving fuzzy controller for autonomous mobile robots. EAIS 2011: 100-107 - [c28]José Antonio Iglesias
, Plamen Angelov
, Agapito Ledezma
, Araceli Sanchis
:
Evolving human activity classifier from sensor streams. EAIS 2011: 139-146 - [c27]Javier Andreu
, Rashmi Dutta Baruah, Plamen Angelov
:
Automatic scene recognition for low-resource devices using evolving classifiers. FUZZ-IEEE 2011: 2779-2785 - [c26]Javier Andreu
, Rashmi Dutta Baruah, Plamen Angelov
:
Real time recognition of human activities from wearable sensors by evolving classifiers. FUZZ-IEEE 2011: 2786-2793 - [c25]Plamen Angelov:
Autonomous Learning Machines - Generating Rules from Data Streams. IJCCI (NCTA) 2011: 21 - [c24]Rashmi Dutta Baruah, Plamen Angelov
, Javier Andreu
:
Simpl_eClass: Simplified potential-free evolving fuzzy rule-based classifiers. SMC 2011: 2249-2254 - 2010
- [j22]Plamen Angelov, Dimitar P. Filev, Nikola K. Kasabov:
Editorial. Evol. Syst. 1(1): 1-2 (2010) - [j21]José Antonio Iglesias
, Plamen Angelov
, Agapito Ledezma
, Araceli Sanchis
:
Evolving classification of agents' behaviors: a general approach. Evol. Syst. 1(3): 161-171 (2010) - [j20]José Antonio Iglesias
, Plamen Angelov
, Agapito Ledezma
, Araceli Sanchis
:
Human Activity Recognition Based on Evolving Fuzzy Systems. Int. J. Neural Syst. 20(5): 355-364 (2010) - [j19]Simon McDonald, Plamen Angelov:
Evolving takagi sugeno modelling with memory for slow processes. Int. J. Knowl. Based Intell. Eng. Syst. 14(1): 11-19 (2010) - [j18]Plamen Angelov
, Arthur K. Kordon:
Adaptive Inferential Sensors Based on Evolving Fuzzy Models. IEEE Trans. Syst. Man Cybern. Part B 40(2): 529-539 (2010) - [c23]José Antonio Iglesias, Plamen Angelov
, Agapito Ledezma
, Araceli Sanchis
:
Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. ECAI 2010: 1047-1048 - [c22]Javier Andreu
, Plamen Angelov
:
Real-time human activity recognition from wireless sensors using evolving fuzzy systems. FUZZ-IEEE 2010: 1-8 - [c21]Javier Andreu
, Plamen Angelov
:
Forecasting time-series for NN GC1 using Evolving Takagi-Sugeno (eTS) Fuzzy Systems with on-line inputs selection. FUZZ-IEEE 2010: 1-5 - [c20]José Antonio Iglesias
, Plamen Angelov
, Agapito Ledezma
, Araceli Sanchis
:
User modeling: Through statistical analysis and an evolving classifier. FUZZ-IEEE 2010: 1-8 - [c19]Pouria Sadeghi-Tehran
, Plamen Angelov
, Ramin Ramezani:
A Fast Recursive Approach to Autonomous Detection, Identification and Tracking of Multiple Objects in Video Streams under Uncertainties. IPMU (2) 2010: 30-43 - [c18]Plamen Angelov
, Ronald R. Yager:
A simple fuzzy rule-based system through vector membership and kernel-based granulation. IEEE Conf. of Intelligent Systems 2010: 349-354
2000 – 2009
- 2009
- [c17]Edwin Lughofer, Plamen Angelov:
Detecting and Reacting on Drifts and Shifts in On-Line Data Streams with Evolving Fuzzy Systems. IFSA/EUSFLAT Conf. 2009: 931-937 - [r1]Plamen Angelov:
Evolving Fuzzy Systems. Encyclopedia of Complexity and Systems Science 2009: 3242-3255 - 2008
- [j17]Plamen Angelov
, Edwin Lughofer, Xiaowei Zhou:
Evolving fuzzy classifiers using different model architectures. Fuzzy Sets Syst. 159(23): 3160-3182 (2008) - [j16]Plamen Angelov
, Edwin Lughofer:
Data-driven evolving fuzzy systems using eTS and FLEXFIS: comparative analysis. Int. J. Gen. Syst. 37(1): 45-67 (2008) - [j15]Plamen Angelov:
Evolving fuzzy systems. Scholarpedia 3(2): 6274 (2008) - [j14]Plamen Angelov
, Dimitar P. Filev, Nikola K. Kasabov
:
Guest Editorial Evolving Fuzzy Systems - Preface to the Special Section. IEEE Trans. Fuzzy Syst. 16(6): 1390-1392 (2008) - [j13]Plamen P. Angelov
, Xiaowei Zhou:
Evolving Fuzzy-Rule-Based Classifiers From Data Streams. IEEE Trans. Fuzzy Syst. 16(6): 1462-1475 (2008) - [c16]Simon McDonald, Costas S. Xydeas, Plamen Angelov:
A Retrospective Comparative Study of Three Data Modelling Techniques in Anticoagulation Therapy. BMEI (1) 2008: 219-225 - [c15]Simon McDonald, Costas S. Xydeas, Plamen Angelov
:
Decision Support Systems: Improving Levels of Care and Lowering Costs in Anticoagulation Therapy. eHealth 2008: 175-178 - [c14]Plamen Angelov
, Xiaowei Zhou:
On line learning fuzzy rule-based system structure from data streams. FUZZ-IEEE 2008: 915-922 - [c13]Plamen Angelov
, Arthur K. Kordon, Xiaowei Zhou:
Evolving fuzzy inferential sensors for process industry. GEFS 2008: 41-46 - [c12]Plamen Angelov
, Ramin Ramezani, Xiaowei Zhou:
Autonomous novelty detection and object tracking in video streams using evolving clustering and Takagi-Sugeno type neuro-fuzzy system. IJCNN 2008: 1456-1463 - [c11]Plamen Angelov
, Cosmin Danut Bocaniala, Costas S. Xydeas, Charles Patchett, Darren Ansell, Michael Everett, Gang Leng:
A Passive Approach to Autonomous Collision Detection and Avoidance. UKSim 2008: 64-69 - [e1]Frank Hoffmann, Oscar Cordón, Plamen Angelov, Frank Klawonn:
3rd International Workshop on Genetic and Evolving Systems, GEFS 2008, Witten-Bommerholz, Germany, March 4-7, 2008. IEEE 2008, ISBN 978-1-4244-1613-4 [contents] - 2007
- [c10]Xiaowei Zhou, Plamen Angelov
:
Autonomous Visual Self-localization in Completely Unknown Environment using Evolving Fuzzy Rule-based Classifier. CISDA 2007: 131-138 - [c9]Edwin Lughofer, Plamen Angelov
, Xiaowei Zhou:
Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class. FUZZ-IEEE 2007: 1-6 - [c8]Plamen Angelov
, Xiaowei Zhou, Dimitar P. Filev, Edwin Lughofer:
Architectures for evolving fuzzy rule-based classifiers. SMC 2007: 2050-2055 - [c7]José J. Macias-Hernandez
, Plamen Angelov
, Xiaowei Zhou:
Soft sensor for predicting crude oil distillation side streams using evolving takagi-sugeno fuzzy models. SMC 2007: 3305-3310 - [p1]Plamen Angelov
, Xiaowei Zhou:
Evolving Fuzzy Classifier for Novelty Detection and Landmark Recognition by Mobile Robots. Mobile Robots 2007: 89-118 - 2006
- [j12]Costas S. Xydeas, Plamen Angelov
, Shih-Yang Chiao, M. Reoullas:
Advances in classification of EEG signals via evolving fuzzy classifiers and dependant multiple HMMs. Comput. Biol. Medicine 36(10): 1064-1083 (2006) - [j11]Plamen Angelov
, Costas S. Xydeas:
Fuzzy systems design: direct and indirect approaches. Soft Comput. 10(9): 836-849 (2006) - [c6]Frank Klawonn
, Plamen Angelov
:
Evolving Extended Naive Bayes Classifiers. ICDM Workshops 2006: 643-647 - 2005
- [c5]Plamen Angelov
, Dimitar P. Filev:
Simpl_eTS: a simplified method for learning evolving Takagi-Sugeno fuzzy models. FUZZ-IEEE 2005: 1068-1073 - 2004
- [j10]Plamen Angelov
:
An approach for fuzzy rule-base adaptation using on-line clustering. Int. J. Approx. Reason. 35(3): 275-289 (2004) - [j9]Plamen P. Angelov, Dimitar P. Filev:
Flexible models with evolving structure. Int. J. Intell. Syst. 19(4): 327-340 (2004) - [j8]Plamen Angelov
:
A fuzzy controller with evolving structure. Inf. Sci. 161(1-2): 21-35 (2004) - [j7]Plamen P. Angelov
, Dimitar P. Filev:
An approach to online identification of Takagi-Sugeno fuzzy models. IEEE Trans. Syst. Man Cybern. Part B 34(1): 484-498 (2004) - [c4]Plamen Angelov, Costas Xydeas, Dimitar P. Filev:
On-line identification of MIMO evolving Takagi- Sugeno fuzzy models. FUZZ-IEEE 2004: 55-60 - 2003
- [j6]Mahroo Eftekhari, Ljiljana Marjanovic
, Plamen Angelov
:
Design and performance of a rule-based controller in a naturally ventilated room. Comput. Ind. 51(3): 299-326 (2003) - [j5]Plamen P. Angelov
:
An evolutionary approach to fuzzy rule-based model synthesis using indices for rules. Fuzzy Sets Syst. 137(3): 325-338 (2003) - [j4]Plamen P. Angelov
, Richard A. Buswell:
Automatic generation of fuzzy rule-based models from data by genetic algorithms. Inf. Sci. 150(1-2): 17-31 (2003) - [c3]Plamen P. Angelov
, Y. Zhang, Jonathan A. Wright, V. I. Hanby, Richard A. Buswell:
Automatic Design Synthesis and Optimization of Component-Based Systems by Evolutionary Algorithms. GECCO 2003: 1938-1950 - [c2]Plamen Angelov, Dimitar P. Filev:
On-line Design of Takagi-Sugeno Models. IFSA 2003: 576-584 - 2002
- [j3]Plamen Angelov
, Richard A. Buswell:
Identification of evolving fuzzy rule-based models. IEEE Trans. Fuzzy Syst. 10(5): 667-677 (2002) - 2001
- [c1]Richard A. Buswell, Plamen P. Angelov, Jonathan A. Wright:
Transparency and simplification of rule-based models for on-line adaptation. EUSFLAT Conf. 2001: 324-327
1990 – 1999
- 1997
- [j2]Plamen P. Angelov
:
Optimization in an intuitionistic fuzzy environment. Fuzzy Sets Syst. 86(3): 299-306 (1997) - 1994
- [j1]Plamen Angelov
:
A generalized approach to fuzzy optimization. Int. J. Intell. Syst. 9(3): 261-268 (1994)
Coauthor Index
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