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ORCIDPlamen P. Angelov
Plamen Parvanov Angelov – Plamen Angelov 0001
Person information
- affiliation: Lancaster University, Lancaster, UK
Other persons with the same name
- Plamen Angelov 0002
![[0000-0002-3625-9933]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3625-9933")
— University of Plovidv P. Hilendarski, Faculty of Chemistry, Bulgaria
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2020 – today
- 2023
[j98]Xiaowei Gu, Jungong Han, Qiang Shen, Plamen P. Angelov:
Autonomous learning for fuzzy systems: a review. Artif. Intell. Rev. 56(8): 7549-7595 (2023)- [j97]Nicholas I. Arnold, Plamen Angelov, Peter M. Atkinson:
An Improved Explainable Point Cloud Classifier (XPCC). IEEE Trans. Artif. Intell. 4(1): 71-80 (2023) - [j96]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) - [c120]Matheus Aparecido do Carmo Alves, Elnaz Shafipour Yourdshahi, Amokh Varma, Leandro Soriano Marcolino, Jó Ueyama, Plamen P. Angelov:
On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork. AAMAS 2023: 140-142 - [c119]Yi Li, Plamen P. Angelov, Neeraj Suri:
Domain Generalization and Feature Fusion for Cross-domain Imperceptible Adversarial Attack Detection. IJCNN 2023: 1-8 - 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 P. 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 P. 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 P. 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 P. 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 P. 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 P. 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 P. 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 P. 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 P. 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 P. 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 P. 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 P. 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 P. 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 P. 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 P. 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 P. 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 P. 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 P. 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 P. Angelov, Zulfiqar Habib:
Human action recognition using deep rule-based classifier. Multim. Tools Appl. 79(41-42): 30653-30667 (2020) - [j71]Plamen P. 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 P. 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 P. 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 P. 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 P. 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 P. 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 P. 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 P. 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 P. 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 P. Angelov, Eduardo A. Soares:
Towards Explainable Deep Neural Networks (xDNN). CoRR abs/1912.02523 (2019) - [i2]Xiaowei Gu, Muhammad Aurangzeb Khan, Plamen P. 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 P. 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 P. Angelov:
Gender and Age Classification of Human Faces for Automatic Detection of Anomalous Human Behaviour. CYBCONF 2017: 1-6 - [c90]Goran Andonovski, Plamen P. Angelov, Saso Blazic, Igor Skrjanc:
Robust Evolving Cloud-based Controller (RECCo). EAIS 2017: 1-6 - [c89]Plamen P. Angelov, Xiaowei Gu:
Autonomous learning multi-model classifier of 0-Order (ALMMo-0). EAIS 2017: 1-7 - [c88]Xiaowei Gu, Plamen P. 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 P. 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]