Plamen Angelov

239 papers A* 1A 4B 41C 5Journal 96Unranked 67

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Toward Quantum Image Generation on Single Qubit Using Quantum Information Bottleneck. IEEE Trans. Artif. Intell. Yijie Zhu, Vaneet Aggarwal, Debanjan Konar, Yuri A. Pashkin, Plamen Angelov, Richard Jiang
2025	J	`jnl`	COMIX: Compositional Explanations using Prototypes. CoRR Sarath Sivaprasad, Dmitry Kangin, Plamen Angelov, Mario Fritz
2025	J	`jnl`	Demonstrable and anatomy-driven knuckle identification via crease map segmentation. Signal Image Video Process. Ritesh Vyas, Bryan M. Williams, Hossein Rahmani, Ricki Boswell-Challand, Zheheng Jiang, Plamen Angelov, Sue Black
2025	B	`conf`	Detecting Cross-domain Deepfake Videos with Contrastive Prototype Learning. IJCNN Yi Li, Plamen Angelov
2025	J	`jnl`	IDEAL: Interpretable-by-Design ALgorithms for learning from foundation feature spaces. Neurocomputing Plamen Angelov, Dmitry Kangin, Ziyang Zhang
2025	J	`jnl`	IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data. Appl. Soft Comput. Ziyang Zhang, Plamen Angelov, Dmitry Kangin, Nicolas Longépé
2025	J	`jnl`	Modeling Brain Aging With Explainable Triamese ViT: Towards Deeper Insights Into Autism Disorder. IEEE J. Biomed. Health Informatics Zhaonian Zhang, Vaneet Aggarwal, Plamen Angelov, Richard Jiang
2025	—	`conf`	ProtoMedX: Towards Explainable Multi-Modal Prototype Learning for Bone Health Classification. ICCVW Alvaro Lopez Pellicer, Andre Mariucci, Plamen Angelov, Marwan Bukhari, Jemma G. Kerns
2025	J	`jnl`	ProtoMedX: Towards Explainable Multi-Modal Prototype Learning for Bone Health Classification. CoRR Alvaro Lopez Pellicer, Andre Mariucci, Plamen Angelov, Marwan Bukhari, Jemma G. Kerns
2025	—	`conf`	Prototype-Based Continual Learning with Label-free Replay Buffer and Cluster Preservation Loss. CVPR Workshops Agil Aghasanli, Yi Li, Plamen Angelov
2025	J	`jnl`	Prototype-Based Continual Learning with Label-free Replay Buffer and Cluster Preservation Loss. CoRR Agil Aghasanli, Yi Li, Plamen Angelov
2025	J	`jnl`	Securing (vision-based) autonomous systems: taxonomy, challenges, and defense mechanisms against adversarial threats. Artif. Intell. Rev. Alvaro Lopez Pellicer, Plamen Angelov, Neeraj Suri
2025	A	`conf`	Vision-Based Landing Guidance Through Tracking and Orientation Estimation. WACV João P. K. Ferreira, João P. L. Pinto, Júlia S. Moura, Yi Li, Cristiano Leite Castro, Plamen Angelov
2024	J	`jnl`	A large multiclass dataset of CT scans for COVID-19 identification. Evol. Syst. Eduardo A. Soares, Plamen Angelov, Sarah Biaso, Marcelo Cury, Daniel Abe
2024	J	`jnl`	Adversarial Attack Detection via Fuzzy Predictions. IEEE Trans. Fuzzy Syst. Yi Li, Plamen Angelov, Neeraj Suri
2024	J	`jnl`	An explainable approach to deep learning from CT-scans for Covid identification. Evol. Syst. Eduardo Soares, Plamen Angelov, Ziyang Zhang
2024	J	`jnl`	Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement. CoRR Yi Li, Yang Sun, Plamen Angelov
2024	J	`jnl`	Deep orientated distance-transform network for geometric-aware centerline detection. Pattern Recognit. Zheheng Jiang, Hossein Rahmani, Plamen Angelov, Ritesh Vyas, Huiyu Zhou, Sue Black, Bryan M. Williams
2024	—	`conf`	Edge Implementation of Unsupervised Self-evolving Vision Classifier. EAIS Agil Aghasanli, Plamen Angelov
2024	—	`conf`	Federated Adversarial Learning for Robust Autonomous Landing Runway Detection. ICANN (6) Yi Li, Plamen Angelov, Zhengxin Yu, Alvaro Lopez Pellicer, Neeraj Suri
2024	J	`jnl`	Federated Adversarial Learning for Robust Autonomous Landing Runway Detection. CoRR Yi Li, Plamen Angelov, Zhengxin Yu, Alvaro Lopez Pellicer, Neeraj Suri
2024	J	`jnl`	IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data. CoRR Ziyang Zhang, Plamen Angelov, Dmitry Kangin, Nicolas Longépé
2024	C	`ed.`	International Conference on Machine Learning and Applications, ICMLA 2024, Miami, FL, USA, December 18-20, 2024 ICMLA M. Arif Wani, Plamen Angelov, Feng Luo, Mitsunori Ogihara, Xintao Wu, Radu-Emil Precup, Ramin Ramezani, Xiaowei Gu
2024	—	`conf`	Machine Learning within Latent Spaces formed by Foundation Models. IS Bernard Tomczyk, Plamen Angelov, Dmitry Kangin
2024	J	`jnl`	Marine Debris Detection in Satellite Surveillance Using Attention Mechanisms. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Ao Shen, Yijie Zhu, Plamen Angelov, Richard Jiang
2024	—	`conf`	PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection. CVPR Workshops Alvaro Lopez Pellcier, Yi Li, Plamen Angelov
2024	J	`jnl`	PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection. CoRR Alvaro Lopez Pellcier, Yi Li, Plamen Angelov
2024	J	`jnl`	Quantum Face Recognition With Multigate Quantum Convolutional Neural Network. IEEE Trans. Artif. Intell. Yijie Zhu, Ahmed Bouridane, M. Emre Celebi, Debanjan Konar, Plamen Angelov, Qiang Ni, Richard Jiang
2024	B	`conf`	Rethinking Self-supervised Learning for Cross-domain Adversarial Sample Recovery. IJCNN Yi Li, Plamen Angelov, Neeraj Suri
2024	J	`jnl`	Self-Supervised Representation Learning for Adversarial Attack Detection. CoRR Yi Li, Plamen Angelov, Neeraj Suri
2024	—	`conf`	Self-supervised Representation Learning for Adversarial Attack Detection. ECCV (60) Yi Li, Plamen Angelov, Neeraj Suri
2024	B	`conf`	UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification. IJCNN Alvaro Lopez Pellicer, Kittipos Giatgong, Yi Li, Neeraj Suri, Plamen Angelov
2024	J	`jnl`	UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification. CoRR Alvaro Lopez Pellicer, Kittipos Giatgong, Yi Li, Neeraj Suri, Plamen Angelov
2024	J	`jnl`	Unsupervised Domain Adaptation within Deep Foundation Latent Spaces. CoRR Dmitry Kangin, Plamen Angelov
2024	B	`conf`	Unsupervised Drift Detection Using Quadtree Spatial Mapping. ESANN Bernardo A. Ramos, Cristiano Leite de Castro, Tiago A. Coelho, Plamen Angelov
2023	J	`jnl`	An Improved Explainable Point Cloud Classifier (XPCC). IEEE Trans. Artif. Intell. Nicholas I. Arnold, Plamen Angelov, Peter M. Atkinson
2023	—	`ed.`	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 ICANN (9) Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
2023	—	`ed.`	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 ICANN (7) Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
2023	—	`ed.`	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 ICANN (8) Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
2023	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part I ICANN (1) Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
2023	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part II ICANN (2) Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
2023	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part III ICANN (3) Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
2023	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part IV ICANN (4) Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
2023	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part V ICANN (5) Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
2023	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part VI ICANN (6) Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
2023	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part X ICANN (10) Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
2023	J	`jnl`	Delve Into Neural Activations: Toward Understanding Dying Neurons. IEEE Trans. Artif. Intell. Ziping Jiang, Yunpeng Wang, Chang-Tsun Li, Plamen Angelov, Richard Jiang
2023	B	`conf`	Domain Generalization and Feature Fusion for Cross-domain Imperceptible Adversarial Attack Detection. IJCNN Yi Li, Plamen Angelov, Neeraj Suri
2023	—	`conf`	Fuzzy Detectors Against Adversarial Attacks. SSCI Yi Li, Plamen Angelov, Neeraj Suri
2023	—	`conf`	Interpretable-through-prototypes deepfake detection for diffusion models. ICCV (Workshops) Agil Aghasanli, Dmitry Kangin, Plamen Angelov
2023	J	`jnl`	Multilayer Evolving Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. Xiaowei Gu, Plamen Angelov, Jungong Han, Qiang Shen
2023	J	`jnl`	Obituary Edwin Lughofer (1972-2023). Evol. Syst. Plamen Angelov, Dimitar P. Filev, Nikola K. Kasabov, Daniel Leite, Maharadhika Pratama, Susanne Saminger-Platz, Erich-Peter Klement
2023	A	`conf`	On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork. AAMAS Matheus Aparecido do Carmo Alves, Elnaz Shafipour Yourdshahi, Amokh Varma, Leandro Soriano Marcolino, Jó Ueyama, Plamen Angelov
2023	J	`jnl`	Towards interpretable-by-design deep learning algorithms. CoRR Plamen Angelov, Dmitry Kangin, Ziyang Zhang
2022	J	`jnl`	A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine. Cogn. Comput. Zhao-Xu Yang, Hai-Jun Rong, Pak Kin Wong, Plamen Angelov, Chi-Man Vong, Chi-Chong Chiu, Zhi-Xin Yang
2022	—	`conf`	An Interpretable Deep Semantic Segmentation Method for Earth Observation. IS Ziyang Zhang, Plamen Angelov, Eduardo Almeida Soares, Nicolas Longépé, Pierre-Philippe Mathieu
2022	J	`jnl`	An Interpretable Deep Semantic Segmentation Method for Earth Observation. CoRR Ziyang Zhang, Plamen Angelov, Eduardo Almeida Soares, Nicolas Longépé, Pierre-Philippe Mathieu
2022	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part I ICANN (1) Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin
2022	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part II ICANN (2) Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin
2022	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part III ICANN (3) Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin
2022	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part IV ICANN (4) Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin
2022	J	`jnl`	Ensemble-Based Bounding Box Regression for Enhanced Knuckle Localization. Sensors Ritesh Vyas, Bryan M. Williams, Hossein Rahmani, Ricki Boswell-Challand, Zheheng Jiang, Plamen Angelov, Sue Black
2022	A*	`conf`	Graph-context Attention Networks for Size-varied Deep Graph Matching. CVPR Zheheng Jiang, Hossein Rahmani, Plamen Angelov, Sue Black, Bryan M. Williams
2022	—	`conf`	Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning. IPTA Nathanael L. Baisa, Bryan M. Williams, Hossein Rahmani, Plamen Angelov, Sue Black
2022	—	`ed.`	IEEE International Conference on Evolving and Adaptive Intelligent System, EAIS 2022, Larnaca, Cyprus, May 25-26, 2022 EAIS Plamen Angelov, George A. Papadopoulos, Giovanna Castellano, José A. Iglesias, Gabriella Casalino, Edwin Lughofer, Daniel Leite
2022	B	`conf`	Multi-Branch with Attention Network for Hand-Based Person Recognition. ICPR Nathanael L. Baisa, Bryan M. Williams, Hossein Rahmani, Plamen Angelov, Sue Black
2022	J	`jnl`	On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork. Auton. Agents Multi Agent Syst. Elnaz Shafipour Yourdshahi, Matheus Aparecido do Carmo Alves, Amokh Varma, Leandro Soriano Marcolino, Jó Ueyama, Plamen Angelov
2022	—	`conf`	PPFM: An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework. MSN Zhengxin Yu, Yang Lu, Plamen Angelov, Neeraj Suri
2022	J	`jnl`	Person identification from fingernails and knuckles images using deep learning features and the Bray-Curtis similarity measure. Neurocomputing Mona Alghamdi, Plamen Angelov, Alvaro Lopez Pellicer
2022	—	`conf`	Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks. SSCI Eduardo A. Soares, Plamen Angelov, Neeraj Suri
2022	J	`jnl`	Statistically Evolving Fuzzy Inference System for Non-Gaussian Noises. IEEE Trans. Fuzzy Syst. Zhao-Xu Yang, Hai-Jun Rong, Plamen Angelov, Zhi-Xin Yang
2021	—	`conf`	Automated Person Identification Framework Based on Fingernails and Dorsal Knuckle Patterns. SSCI Mona Alghamdi, Plamen Angelov, Bryan M. Williams
2021	J	`jnl`	Detecting and learning from unknown by extremely weak supervision: exploratory classifier (xClass). Neural Comput. Appl. Plamen Angelov, Eduardo A. Soares
2021	J	`jnl`	Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning. CoRR Nathanael L. Baisa, Zheheng Jiang, Ritesh Vyas, Bryan M. Williams, Hossein Rahmani, Plamen Angelov, Sue Black
2021	J	`jnl`	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. 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
2021	—	`conf`	Keynote: Explainable-by-design Deep Learning. PerCom Workshops Plamen Angelov
2021	J	`jnl`	Multi-Branch with Attention Network for Hand-Based Person Recognition. CoRR Nathanael L. Baisa, Bryan M. Williams, Hossein Rahmani, Plamen Angelov, Sue Black
2021	B	`conf`	Robust End-to-End Hand Identification via Holistic Multi-Unit Knuckle Recognition. IJCB Ritesh Vyas, Hossein Rahmani, Ricki Boswell-Challand, Plamen Angelov, Sue Black, Bryan M. Williams
2021	J	`jnl`	Self-Evolving Data Cloud-Based PID-Like Controller for Nonlinear Uncertain Systems. IEEE Trans. Ind. Electron. Zhao-Xu Yang, Hai-Jun Rong, Pak-Kin Wong, Plamen Angelov, Zhi-Xin Yang, Hang Wang
2021	J	`jnl`	Self-organizing fuzzy inference ensemble system for big streaming data classification. Knowl. Based Syst. Xiaowei Gu, Plamen Angelov, Zhijin Zhao
2020	B	`conf`	A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion. FUZZ-IEEE Xiaowei Gu, Muhammad Aurangzeb Khan, Plamen Angelov, Bikash Tiwary, Elnaz Shafipour Yourdshahi, Zhao-Xu Yang
2020	J	`jnl`	Autonomous Learning Multiple-Model zero-order classifier for heart sound classification. Appl. Soft Comput. Eduardo A. Soares, Plamen Angelov, Xiaowei Gu
2020	—	`conf`	Concept Drift Detection Using Autoencoders in Data Streams Processing. ICAISC (1) Maciej Jaworski, Leszek Rutkowski, Plamen Angelov
2020	J	`jnl`	Deep Learning based Automated Forest Health Diagnosis from Aerial Images. CoRR Chia-Yen Chiang, Chloe Barnes, Plamen Angelov, Richard Jiang
2020	J	`jnl`	Deep Learning-Based Automated Forest Health Diagnosis From Aerial Images. IEEE Access Chia-Yen Chiang, Chloe Barnes, Plamen Angelov, Richard Jiang
2020	J	`jnl`	Human action recognition using deep rule-based classifier. Multim. Tools Appl. Allah Bux Sargano, Xiaowei Gu, Plamen Angelov, Zulfiqar Habib
2020	A	`conf`	On-line Estimators for Ad-hoc Task Allocation. AAMAS Elnaz Shafipour Yourdshahi, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Plamen Angelov
2020	B	`conf`	Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference. SMC Plamen Angelov, Eduardo A. Soares
2020	J	`jnl`	Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference. CoRR Plamen Angelov, Eduardo A. Soares
2020	J	`jnl`	Towards explainable deep neural networks (xDNN). Neural Networks Plamen Angelov, Eduardo A. Soares
2019	J	`jnl`	A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion. CoRR Xiaowei Gu, Muhammad Aurangzeb Khan, Plamen Angelov, Bikash Tiwary, Elnaz Shafipour Yourdshahi, Zhao-Xu Yang
2019	J	`jnl`	A distance-type-insensitive clustering approach. Appl. Soft Comput. Xiaowei Gu, Plamen Angelov, Zhijin Zhao
2019	B	`conf`	Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios. IJCNN Eduardo A. Soares, Plamen Angelov, Bruno Costa, Marcos Castro
2019	C	`conf`	Explainable Density-Based Approach for Self-Driving Actions Classification. ICMLA Eduardo A. Soares, Plamen Angelov, Dimitar P. Filev, Bruno Costa, Marcos Castro, Subramanya Nageshrao
2019	J	`jnl`	Fair-by-design explainable models for prediction of recidivism. CoRR Eduardo A. Soares, Plamen Angelov
2019	J	`jnl`	Local optimality of self-organising neuro-fuzzy inference systems. Inf. Sci. Xiaowei Gu, Plamen Angelov, Hai-Jun Rong
2019	J	`jnl`	Novelty Detection and Learning from Extremely Weak Supervision. CoRR Eduardo A. Soares, Plamen Angelov
2019	J	`jnl`	Scalable Database Indexing and Fast Image Retrieval Based on Deep Learning and Hierarchically Nested Structure Applied to Remote Sensing and Plant Biology. J. Imaging Pouria Sadeghi-Tehran, Plamen Angelov, Nicolas Virlet, Malcolm J. Hawkesford
2019	—	`conf`	Self-Organising and Self-Learning Model for Soybean Yield Prediction. SNAMS Mona Alghamdi, Plamen Angelov, Raul Gimenez, Mariana C. Rufino, Eduardo A. Soares
2019	J	`jnl`	Self-boosting first-order autonomous learning neuro-fuzzy systems. Appl. Soft Comput. Xiaowei Gu, Plamen Angelov
2019	J	`jnl`	Towards Explainable Deep Neural Networks (xDNN). CoRR Plamen Angelov, Eduardo A. Soares
2018	—	`ed.`	2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2018, Rhodes, Greece, May 25-27, 2018 EAIS Plamen Angelov, Yannis Manolopoulos, Edwin Lughofer, Lazaros S. Iliadis
2018	B	`conf`	A Deep Rule-Based Approach for Satellite Scene Image Analysis. SMC Xiaowei Gu, Plamen Angelov
2018	J	`jnl`	A novel algorithm for the modeling of complex processes. Kybernetika José de Jesús Rubio, Edwin Lughofer, Plamen Angelov, Juan Francisco Novoa, Jesús A. Meda-Campaña
2018	J	`jnl`	Anomalous behaviour detection based on heterogeneous data and data fusion. Soft Comput. Azliza Mohd Ali, Plamen Angelov
2018	B	`conf`	Empirical Approach to Learning from Data (Streams). ENASE Plamen Angelov
2018	—	`conf`	Empirical Approach to Learning from Data (Streams). ICEIS (1) Plamen Angelov
2018	—	`conf`	How Best to Design Fuzzy Sets and Systems - In Memory of Prof. Lotfi A. Zadeh. WILF Plamen Angelov
2018	J	`jnl`	Self-Organised direction aware data partitioning algorithm. Inf. Sci. Xiaowei Gu, Plamen Angelov, Dmitry Kangin, José C. Príncipe
2018	J	`jnl`	The 16th Annual UK Workshop on Computational Intelligence. Soft Comput. Plamen Angelov, Changjing Shang, Fei Chao
2018	—	`conf`	Towards Evolving Cooperative Mapping for Large-Scale UAV Teams. SSCI Elnaz Shafipour Yourdshahi, Plamen Angelov, Leandro Soriano Marcolino, Georgios Tsianakas
2018	—	`conf`	Towards Large Scale Ad-hoc Teamwork. ICA Elnaz Shafipour Yourdshahi, Thomas Pinder, Gauri Dhawan, Leandro Soriano Marcolino, Plamen Angelov
2017	B	`conf`	A cascade of deep learning fuzzy rule-based image classifier and SVM. SMC Plamen Angelov, Xiaowei Gu
2017	J	`jnl`	AURORA: autonomous real-time on-board video analytics. Neural Comput. Appl. Plamen Angelov, Pouria Sadeghi-Tehran, Christopher Clarke
2017	—	`ed.`	Advances in Big Data - Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece INNS Conference on Big Data Plamen Angelov, Yannis Manolopoulos, Lazaros S. Iliadis, Asim Roy, Marley M. B. R. Vellasco
2017	—	`ed.`	Advances in Computational Intelligence Systems - Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7-9, 2016, Lancaster, UK UKCI Plamen Angelov, Alexander E. Gegov, Chrisina Jayne, Qiang Shen
2017	—	`conf`	Autonomous anomaly detection. EAIS Xiaowei Gu, Plamen Angelov
2017	—	`conf`	Autonomous learning multi-model classifier of 0-Order (ALMMo-0). EAIS Plamen Angelov, Xiaowei Gu
2017	J	`jnl`	Editorial Soft Computing Applied to Swarm Robotics. Appl. Soft Comput. Nadia Nedjah, Plamen Angelov, Oscar Castillo, Luiza de Macedo Mourelle, Chao Wang
2017	J	`jnl`	Empirical Data Analytics. Int. J. Intell. Syst. Plamen Angelov, Xiaowei Gu, Dmitry Kangin
2017	B	`conf`	Fast feedforward non-parametric deep learning network with automatic feature extraction. IJCNN Plamen Angelov, Xiaowei Gu, José C. Príncipe
2017	J	`jnl`	Fully online clustering of evolving data streams into arbitrarily shaped clusters. Inf. Sci. Richard Hyde, Plamen Angelov, Angus Robert MacKenzie
2017	—	`conf`	Gender and Age Classification of Human Faces for Automatic Detection of Anomalous Human Behaviour. CYBCONF Xiaofeng Wang, Azliza Mohd Ali, Plamen Angelov
2017	B	`conf`	Human action recognition using transfer learning with deep representations. IJCNN Allah Bux Sargano, Xiaofeng Wang, Plamen Angelov, Zulfiqar Habib
2017	J	`jnl`	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. Plamen Angelov, Pouria Sadeghi-Tehran
2017	—	`conf`	MICE: Multi-Layer Multi-Model Images Classifier Ensemble. CYBCONF Plamen Angelov, Xiaowei Gu
2017	—	`conf`	Robust Evolving Cloud-based Controller (RECCo). EAIS Goran Andonovski, Plamen Angelov, Saso Blazic, Igor Skrjanc
2016	B	`conf`	A general purpose intelligent surveillance system for mobile devices using Deep Learning. IJCNN Antreas Antoniou, Plamen Angelov
2016	J	`jnl`	A practical implementation of Robust Evolving Cloud-based Controller with normalized data space for heat-exchanger plant. Appl. Soft Comput. Goran Andonovski, Plamen Angelov, Saso Blazic, Igor Skrjanc
2016	J	`jnl`	Autonomously evolving classifier TEDAClass. Inf. Sci. Dmitry Kangin, Plamen Angelov, José Antonio Iglesias
2016	B	`conf`	Challenges in Deep Learning. ESANN Plamen Angelov, Alessandro Sperduti
2016	—	`conf`	Detecting Anomalous Behaviour Using Heterogeneous Data. UKCI Azliza Mohd Ali, Plamen Angelov, Xiaowei Gu
2016	B	`conf`	Empirical data analysis: A new tool for data analytics. SMC Plamen Angelov, Xiaowei Gu, Dmitry Kangin, José C. Príncipe
2016	—	`book`	Imprecision and Uncertainty in Information Representation and Processing - New Tools Based on Intuitionistic Fuzzy Sets and Generalized Nets Imprecision and Uncertainty in Information Representation and Processing Plamen Angelov, Sotir Sotirov
2016	—	`conf`	Local modes-based free-shape data partitioning. SSCI Plamen Angelov, Xiaowei Gu
2016	—	`conf`	Vision Based Human Activity Recognition: A Review. UKCI Allah Bux Sargano, Plamen Angelov, Zulfiqar Habib
2015	—	`conf`	A Nested Hierarchy of Dynamically Evolving Clouds for Big Data Structuring and Searching. INNS Conference on Big Data Plamen Angelov, Pouria Sadeghi-Tehran
2015	—	`conf`	A new online clustering approach for data in arbitrary shaped clusters. CYBCONF Richard Hyde, Plamen Angelov
2015	J	`jnl`	An overview on fault diagnosis and nature-inspired optimal control of industrial process applications. Comput. Ind. Radu-Emil Precup, Plamen Angelov, Bruno Sielly Jales Costa, Moamar Sayed-Mouchaweh
2015	—	`conf`	Analysis of adaptation law of the robust evolving cloud-based controller. EAIS Goran Andonovski, Saso Blazic, Plamen Angelov, Igor Skrjanc
2015	B	`conf`	Edge Flow. SMC Gruffydd Morris, Plamen Angelov
2015	—	`conf`	Evolving Classifier TEDAClass for Big Data. INNS Conference on Big Data Dmitry Kangin, Plamen Angelov, José Antonio Iglesias, Araceli Sanchis
2015	B	`conf`	Evolving clustering, classification and regression with TEDA. IJCNN Dmitry Kangin, Plamen Angelov
2015	—	`ed.`	INNS Conference on Big Data 2015, San Francisco, CA, USA, 8-10 August 2015 INNS Conference on Big Data Asim Roy, Plamen Angelov, Adel M. Alimi, Ganesh Kumar Venayagamoorthy, Theodore B. Trafalis
2015	—	`ed.`	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 IEEE Conf. on Intelligent Systems (1) Plamen Angelov, Krassimir T. Atanassov, Lyubka Doukovska, Mincho Hadjiski, Vladimir Simov Jotsov, Janusz Kacprzyk, Nikola K. Kasabov, Sotir Sotirov, Eulalia Szmidt, Slawomir Zadrozny
2015	—	`conf`	Preface. EAIS Moamar Sayed-Mouchaweh, Anthony Fleury, Plamen Angelov, Edwin Lughofer, José Antonio Iglesias
2015	—	`conf`	Recursive SVM Based on TEDA. SLDS Dmitry Kangin, Plamen Angelov
2015	B	`conf`	Robust Evolving Cloud-based Controller in normalized data space for heat-exchanger plant. FUZZ-IEEE Goran Andonovski, Saso Blazic, Plamen Angelov, Igor Skrjanc
2015	J	`jnl`	Synergy of computers, cognition, communication and control with industrial applications. Comput. Ind. Radu-Emil Precup, Hans Hellendoorn, Plamen Angelov
2015	B	`conf`	Typicality distribution function - A new density-based data analytics tool. IJCNN Plamen Angelov
2014	—	`conf`	A fully autonomous Data Density based Clustering technique. EALS Richard Hyde, Plamen Angelov
2014	—	`conf`	A real-time approach for autonomous detection and tracking of moving objects from UAV. EALS Pouria Sadeghi-Tehran, Christopher Clarke, Plamen Angelov
2014	—	`conf`	ATDT: Autonomous Template-Based Detection and Tracking of Objects from Airborne Camera. IEEE Conf. on Intelligent Systems (2) Pouria Sadeghi-Tehran, Plamen Angelov
2014	—	`conf`	Anomaly detection based on eccentricity analysis. EALS Plamen Angelov
2014	J	`jnl`	DEC: Dynamically Evolving Clustering and Its Application to Structure Identification of Evolving Fuzzy Models. IEEE Trans. Cybern. Rashmi Dutta Baruah, Plamen Angelov
2014	—	`conf`	Data density based clustering. UKCI Richard Hyde, Plamen Angelov
2014	—	`conf`	Dynamically evolving clustering for data streams. EAIS Rashmi Dutta Baruah, Plamen Angelov, Diganta Baruah
2014	B	`conf`	Dynamically evolving fuzzy classifier for real-time classification of data streams. FUZZ-IEEE Rashmi Dutta Baruah, Plamen Angelov, Diganta Baruah
2014	J	`jnl`	Outside the box: an alternative data analytics framework. J. Autom. Mob. Robotics Intell. Syst. Plamen Angelov
2014	—	`conf`	RTSDE: Recursive total-sum-distances-based density estimation approach and its application for autonomous real-time video analytics. EALS Plamen Angelov, Ashley Wilding
2014	B	`conf`	Real-time novelty detection in video using background subtraction techniques: State of the art a practical review. SMC Gruffydd Morris, Plamen Angelov
2014	—	`conf`	Robust evolving cloud-based PID control adjusted by gradient learning method. EAIS Igor Skrjanc, Saso Blazic, Plamen Angelov
2014	J	`jnl`	SARIVA: Smartphone APP for Real-time Intelligent Video Analytics. J. Autom. Mob. Robotics Intell. Syst. Christopher Clarke, Plamen Angelov
2014	—	`conf`	Symbol recognition with a new autonomously evolving classifier autoclass. EAIS Plamen Angelov, Dmitry Kangin, Xiaowei Zhou, Denis Kolev
2013	—	`conf`	A practical implementation of self-evolving cloud-based control of a pilot plant. CYBCONF Bruno Sielly Jales Costa, Igor Skrjanc, Saso Blazic, Plamen Angelov
2013	—	`conf`	ARFA: Automated real-time flight data analysis using evolving clustering, classifiers and recursive density estimation. EAIS Denis Kolev, Plamen Angelov, Garegin Markarian, Mikhail Suvorov, S. Lysanov
2013	J	`jnl`	An evolving machine learning method for human activity recognition systems. J. Ambient Intell. Humaniz. Comput. Javier Andreu, Plamen Angelov
2013	J	`jnl`	Analysis of evolving social network: methods and results from cell phone dataset case study. Int. J. Soc. Netw. Min. Rashmi Dutta Baruah, Plamen Angelov
2013	J	`jnl`	Density-based averaging - A new operator for data fusion. Inf. Sci. Plamen Angelov, Ronald R. Yager
2013	B	`conf`	Incremental anomaly identification by adapted SVM method. IJCNN Mikhail Suvorov, Sergey Ivliev, Garegin Markarian, Denis Kolev, Dmitry Zvikhachevskiy, Plamen Angelov
2013	C	`conf`	OSA: One-Class Recursive SVM Algorithm with Negative Samples for Fault Detection. ICANN Mikhail Suvorov, Sergey Ivliev, Garegin Markarian, Denis Kolev, Dmitry Zvikhachevskiy, Plamen Angelov
2013	B	`conf`	Online learning and prediction of data streams using dynamically evolving fuzzy approach. FUZZ-IEEE Rashmi Dutta Baruah, Plamen Angelov
2013	—	`conf`	Robust evolving cloud-based controller for a hydraulic plant. EAIS Plamen Angelov, Igor Skrjanc, Saso Blazic
2013	—	`conf`	Towards an autonomous resilience strategy the implementation of a self evolving rate limiter. UKCI Azman Ali, David Hutchison, Plamen Angelov, Paul Smith
2013	J	`jnl`	Towards generic human activity recognition for ubiquitous applications. J. Ambient Intell. Humaniz. Comput. Javier Andreu, Plamen Angelov
2013	C	`conf`	Vehicle Plate Recognition Using Improved Neocognitron Neural Network. ICANN Dmitry Kangin, George Kolev, Plamen Angelov
2012	—	`ed.`	2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2012, Madrid, Spain, May 17-18, 2012 EAIS Plamen Angelov, Dimitar P. Filev, Nikola K. Kasabov, José Antonio Iglesias, Germán Gutiérrez
2012	J	`jnl`	A new type of simplified fuzzy rule-based system. Int. J. Gen. Syst. Plamen Angelov, Ronald R. Yager
2012	—	`conf`	A real-time approach for novelty detection and trajectories analysis for anomaly recognition in video surveillance systems. EAIS Pouria Sadeghi-Tehran, Plamen Angelov
2012	—	`conf`	ARTOT: Autonomous real-time object detection and tracking by a moving camera. IEEE Conf. of Intelligent Systems Plamen Angelov, Chirag Gude, Pouria Sadeghi-Tehran, Tsvetan Ivanov
2012	—	`conf`	Adaptive resilience for computer networks: Using online fuzzy learning. ICUMT Azman Ali, David Hutchison, Plamen Angelov, Paul Smith
2012	—	`conf`	Automatic mobile photographer and picture diary. EAIS Plamen Angelov, Javier Andreu, Tu Vuong
2012	—	`conf`	Autonomous visual self-localization in completely unknown environment. EAIS Pouria Sadeghi-Tehran, Sasmita Behera, Plamen Angelov, Javier Andreu
2012	J	`jnl`	Creating Evolving User Behavior Profiles Automatically. IEEE Trans. Knowl. Data Eng. José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis
2012	B	`conf`	Evolving local means method for clustering of streaming data. FUZZ-IEEE Rashmi Dutta Baruah, Plamen Angelov
2012	—	`conf`	Evolving social network analysis: A case study on mobile phone data. EAIS Rashmi Dutta Baruah, Plamen Angelov
2012	B	`conf`	Self-evolving parameter-free Rule-based Controller. FUZZ-IEEE Pouria Sadeghi-Tehran, Ana Belén Cara, Plamen Angelov, Héctor Pomares, Ignacio Rojas, Alberto Prieto
2011	J	`jnl`	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. Plamen Angelov, Pouria Sadeghi-Tehran, Ramin Ramezani
2011	B	`conf`	Automatic scene recognition for low-resource devices using evolving classifiers. FUZZ-IEEE Javier Andreu, Rashmi Dutta Baruah, Plamen Angelov
2011	—	`conf`	Autonomous Learning Machines - Generating Rules from Data Streams. IJCCI (NCTA) Plamen Angelov
2011	J	`jnl`	Evolving fuzzy systems for data streams: a survey. WIREs Data Mining Knowl. Discov. Rashmi Dutta Baruah, Plamen Angelov
2011	—	`conf`	Evolving human activity classifier from sensor streams. EAIS José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis
2011	J	`jnl`	Fuzzily Connected Multimodel Systems Evolving Autonomously From Data Streams. IEEE Trans. Syst. Man Cybern. Part B Plamen Angelov
2011	J	`jnl`	Handling drifts and shifts in on-line data streams with evolving fuzzy systems. Appl. Soft Comput. Edwin Lughofer, Plamen Angelov
2011	—	`conf`	Online self-evolving fuzzy controller for autonomous mobile robots. EAIS Pouria Sadeghi-Tehran, Plamen Angelov
2011	B	`conf`	Real time recognition of human activities from wearable sensors by evolving classifiers. FUZZ-IEEE Javier Andreu, Rashmi Dutta Baruah, Plamen Angelov
2011	B	`conf`	Simpl_eClass: Simplified potential-free evolving fuzzy rule-based classifiers. SMC Rashmi Dutta Baruah, Plamen Angelov, Javier Andreu
2011	—	`conf`	Simplified fuzzy rule-based systems using non-parametric antecedents and relative data density. EAIS Plamen Angelov, Ronald R. Yager
2011	J	`jnl`	Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network. IEEE Trans. Neural Networks José de Jesús Rubio, Plamen Angelov, Jaime Pacheco
2010	—	`conf`	A Fast Recursive Approach to Autonomous Detection, Identification and Tracking of Multiple Objects in Video Streams under Uncertainties. IPMU (2) Pouria Sadeghi-Tehran, Plamen Angelov, Ramin Ramezani
2010	—	`conf`	A simple fuzzy rule-based system through vector membership and kernel-based granulation. IEEE Conf. of Intelligent Systems Plamen Angelov, Ronald R. Yager
2010	J	`jnl`	Adaptive Inferential Sensors Based on Evolving Fuzzy Models. IEEE Trans. Syst. Man Cybern. Part B Plamen Angelov, Arthur K. Kordon
2010	J	`jnl`	Editorial. Evol. Syst. Plamen Angelov, Dimitar P. Filev, Nikola K. Kasabov
2010	J	`jnl`	Evolving classification of agents' behaviors: a general approach. Evol. Syst. José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis
2010	J	`jnl`	Evolving takagi sugeno modelling with memory for slow processes. Int. J. Knowl. Based Intell. Eng. Syst. Simon McDonald, Plamen Angelov
2010	B	`conf`	Forecasting time-series for NN GC1 using Evolving Takagi-Sugeno (eTS) Fuzzy Systems with on-line inputs selection. FUZZ-IEEE Javier Andreu, Plamen Angelov
2010	J	`jnl`	Human Activity Recognition Based on Evolving Fuzzy Systems. Int. J. Neural Syst. José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis
2010	A	`conf`	Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. ECAI José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis
2010	B	`conf`	Real-time human activity recognition from wireless sensors using evolving fuzzy systems. FUZZ-IEEE Javier Andreu, Plamen Angelov
2010	B	`conf`	User modeling: Through statistical analysis and an evolving classifier. FUZZ-IEEE José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis
2009	—	`conf`	Detecting and Reacting on Drifts and Shifts in On-Line Data Streams with Evolving Fuzzy Systems. IFSA/EUSFLAT Conf. Edwin Lughofer, Plamen Angelov
2009	—	`ch.`	Evolving Fuzzy Systems. Encyclopedia of Complexity and Systems Science Plamen Angelov
2008	—	`ed.`	3rd International Workshop on Genetic and Evolving Systems, GEFS 2008, Witten-Bommerholz, Germany, March 4-7, 2008 GEFS Frank Hoffmann, Oscar Cordón, Plamen Angelov, Frank Klawonn
2008	—	`conf`	A Passive Approach to Autonomous Collision Detection and Avoidance. UKSim Plamen Angelov, Cosmin Danut Bocaniala, Costas S. Xydeas, Charles Patchett, Darren Ansell, Michael Everett, Gang Leng
2008	—	`conf`	A Retrospective Comparative Study of Three Data Modelling Techniques in Anticoagulation Therapy. BMEI (1) Simon McDonald, Costas S. Xydeas, Plamen Angelov
2008	B	`conf`	Autonomous novelty detection and object tracking in video streams using evolving clustering and Takagi-Sugeno type neuro-fuzzy system. IJCNN Plamen Angelov, Ramin Ramezani, Xiaowei Zhou
2008	J	`jnl`	Data-driven evolving fuzzy systems using eTS and FLEXFIS: comparative analysis. Int. J. Gen. Syst. Plamen Angelov, Edwin Lughofer
2008	—	`conf`	Decision Support Systems: Improving Levels of Care and Lowering Costs in Anticoagulation Therapy. eHealth Simon McDonald, Costas S. Xydeas, Plamen Angelov
2008	J	`jnl`	Evolving fuzzy classifiers using different model architectures. Fuzzy Sets Syst. Plamen Angelov, Edwin Lughofer, Xiaowei Zhou
2008	—	`conf`	Evolving fuzzy inferential sensors for process industry. GEFS Plamen Angelov, Arthur K. Kordon, Xiaowei Zhou
2008	J	`jnl`	Evolving fuzzy systems. Scholarpedia Plamen Angelov
2008	J	`jnl`	Guest Editorial Evolving Fuzzy Systems - Preface to the Special Section. IEEE Trans. Fuzzy Syst. Plamen Angelov, Dimitar P. Filev, Nikola K. Kasabov
2008	B	`conf`	On line learning fuzzy rule-based system structure from data streams. FUZZ-IEEE Plamen Angelov, Xiaowei Zhou
2007	B	`conf`	Architectures for evolving fuzzy rule-based classifiers. SMC Plamen Angelov, Xiaowei Zhou, Dimitar P. Filev, Edwin Lughofer
2007	—	`conf`	Autonomous Visual Self-localization in Completely Unknown Environment using Evolving Fuzzy Rule-based Classifier. CISDA Xiaowei Zhou, Plamen Angelov
2007	—	`ch.`	Evolving Fuzzy Classifier for Novelty Detection and Landmark Recognition by Mobile Robots. Mobile Robots Plamen Angelov, Xiaowei Zhou
2007	B	`conf`	Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class. FUZZ-IEEE Edwin Lughofer, Plamen Angelov, Xiaowei Zhou
2007	B	`conf`	Soft sensor for predicting crude oil distillation side streams using evolving takagi-sugeno fuzzy models. SMC José J. Macias-Hernandez, Plamen Angelov, Xiaowei Zhou
2006	J	`jnl`	Advances in classification of EEG signals via evolving fuzzy classifiers and dependant multiple HMMs. Comput. Biol. Medicine Costas S. Xydeas, Plamen Angelov, Shih-Yang Chiao, M. Reoullas
2006	—	`conf`	Evolving Extended Naive Bayes Classifiers. ICDM Workshops Frank Klawonn, Plamen Angelov
2006	J	`jnl`	Fuzzy systems design: direct and indirect approaches. Soft Comput. Plamen Angelov, Costas S. Xydeas
2005	B	`conf`	Simpl_eTS: a simplified method for learning evolving Takagi-Sugeno fuzzy models. FUZZ-IEEE Plamen Angelov, Dimitar P. Filev
2004	J	`jnl`	A fuzzy controller with evolving structure. Inf. Sci. Plamen Angelov
2004	J	`jnl`	An approach for fuzzy rule-base adaptation using on-line clustering. Int. J. Approx. Reason. Plamen Angelov
2004	B	`conf`	On-line identification of MIMO evolving Takagi- Sugeno fuzzy models. FUZZ-IEEE Plamen Angelov, Costas Xydeas, Dimitar P. Filev
2003	J	`jnl`	Design and performance of a rule-based controller in a naturally ventilated room. Comput. Ind. Mahroo Eftekhari, Ljiljana Marjanovic, Plamen Angelov
2003	C	`conf`	On-line Design of Takagi-Sugeno Models. IFSA Plamen Angelov, Dimitar P. Filev
2002	J	`jnl`	Identification of evolving fuzzy rule-based models. IEEE Trans. Fuzzy Syst. Plamen Angelov, Richard A. Buswell
1994	J	`jnl`	A generalized approach to fuzzy optimization. Int. J. Intell. Syst. Plamen Angelov