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ORCIDPlamen Angelov 0001
Plamen P. Angelov – Plamen Parvanov Angelov
Person information
- affiliation: Lancaster University, School of Computing and Communications, Lancaster, UK
Other persons with the same name
- Plamen Angelov 0002
![[0000-0002-3625-9933]](https://dblp.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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Books and Theses
- 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
Journal Articles
- 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) - 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) - 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) - 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) - 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) - 2019
- [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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 2002
- [j3]Plamen Angelov, Richard A. Buswell:
Identification of evolving fuzzy rule-based models. IEEE Trans. Fuzzy Syst. 10(5): 667-677 (2002) - 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)
Conference and Workshop Papers
- 2024
- [c125]Agil Aghasanli, Plamen Angelov:
Edge Implementation of Unsupervised Self-evolving Vision Classifier. EAIS 2024: 1-8 - [c124]Yi Li, Plamen Angelov, Neeraj Suri:
Rethinking Self-supervised Learning for Cross-domain Adversarial Sample Recovery. IJCNN 2024: 1-7 - [c123]Alvaro Lopez Pellicer, Kittipos Giatgong, Yi Li, Neeraj Suri, Plamen Angelov:
UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification. IJCNN 2024: 1-8 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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
- [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
- [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 - 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
- [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 - 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 - 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 - 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 - 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
- [c4]Plamen Angelov, Costas Xydeas, Dimitar P. Filev:
On-line identification of MIMO evolving Takagi- Sugeno fuzzy models. FUZZ-IEEE 2004: 55-60 - 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 - 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
Parts in Books or Collections
- 2015
- [p2]Plamen P. Angelov, Igor Skrjanc, Saso Blazic:
A Robust Evolving Cloud-Based Controller. Handbook of Computational Intelligence 2015: 1435-1449 - 2007
- [p1]Plamen Angelov, Xiaowei Zhou:
Evolving Fuzzy Classifier for Novelty Detection and Landmark Recognition by Mobile Robots. Mobile Robots 2007: 89-118
Editorship
- 2023
- [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] - 2022
- [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] - 2020
- [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. - 2018
- [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
- [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] - 2016
- [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
- [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] - 2012
- [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] - 2008
- [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]
Reference Works
- 2009
- [r1]Plamen Angelov:
Evolving Fuzzy Systems. Encyclopedia of Complexity and Systems Science 2009: 3242-3255
Informal and Other Publications
- 2024
- [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
- [i12]Plamen Angelov, Dmitry Kangin, Ziyang Zhang:
Towards interpretable-by-design deep learning algorithms. CoRR abs/2311.11396 (2023) - 2022
- [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
- [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
- [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) - 2019
- [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) - 2017
- [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)
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-21 02:41 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
