A generalized approach to fuzzy optimization. - Plamen Angelov 001 (Int. J. Intell. Syst., 1994)

Optimization in an intuitionistic fuzzy environment. - Plamen P. Angelov (Fuzzy Sets Syst., 1997)

Transparency and simplification of rule-based models for on-line adaptation. - Richard A. Buswell; Plamen P. Angelov; Jonathan A. Wright (EUSFLAT Conf., 2001)

Identification of evolving fuzzy rule-based models. - Plamen Angelov 001; Richard A. Buswell (IEEE Trans. Fuzzy Syst., 2002)

Automatic Design Synthesis and Optimization of Component-Based Systems by Evolutionary Algorithms. - Plamen P. Angelov; Y. Zhang; Jonathan A. Wright; V. I. Hanby; Richard A. Buswell (GECCO, 2003)

On-line Design of Takagi-Sugeno Models. - Plamen Angelov 001; Dimitar P. Filev (IFSA, 2003)

Design and performance of a rule-based controller in a naturally ventilated room. - Mahroo Eftekhari; Ljiljana Marjanovic; Plamen Angelov 001 (Comput. Ind., 2003)

An evolutionary approach to fuzzy rule-based model synthesis using indices for rules. - Plamen P. Angelov (Fuzzy Sets Syst., 2003)

Automatic generation of fuzzy rule-based models from data by genetic algorithms. - Plamen P. Angelov; Richard A. Buswell (Inf. Sci., 2003)

On-line identification of MIMO evolving Takagi- Sugeno fuzzy models. - Plamen Angelov 001; Costas Xydeas; Dimitar P. Filev (FUZZ-IEEE, 2004)

An approach for fuzzy rule-base adaptation using on-line clustering. - Plamen Angelov 001 (Int. J. Approx. Reason., 2004)

Flexible models with evolving structure. - Plamen P. Angelov; Dimitar P. Filev (Int. J. Intell. Syst., 2004)

A fuzzy controller with evolving structure. - Plamen Angelov 001 (Inf. Sci., 2004)

An approach to online identification of Takagi-Sugeno fuzzy models. - Plamen P. Angelov; Dimitar P. Filev (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Simpl_eTS: a simplified method for learning evolving Takagi-Sugeno fuzzy models. - Plamen Angelov 001; Dimitar P. Filev (FUZZ-IEEE, 2005)

Evolving Extended Naive Bayes Classifiers. - Frank Klawonn; Plamen Angelov 001 (ICDM Workshops, 2006)

Advances in classification of EEG signals via evolving fuzzy classifiers and dependant multiple HMMs. - Costas S. Xydeas; Plamen Angelov 001; Shih-Yang Chiao; M. Reoullas (Comput. Biol. Medicine, 2006)

Fuzzy systems design: direct and indirect approaches. - Plamen Angelov 001; Costas S. Xydeas (Soft Comput., 2006)

Autonomous Visual Self-localization in Completely Unknown Environment using Evolving Fuzzy Rule-based Classifier. - Xiaowei Zhou 002; Plamen Angelov 001 (CISDA, 2007)

Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class. - Edwin Lughofer; Plamen Angelov 001; Xiaowei Zhou 002 (FUZZ-IEEE, 2007)

Architectures for evolving fuzzy rule-based classifiers. - Plamen Angelov 001; Xiaowei Zhou 002; Dimitar P. Filev; Edwin Lughofer (SMC, 2007)

Soft sensor for predicting crude oil distillation side streams using evolving takagi-sugeno fuzzy models. - José J. Macias-Hernandez; Plamen Angelov 001; Xiaowei Zhou 002 (SMC, 2007)

Evolving Fuzzy Classifier for Novelty Detection and Landmark Recognition by Mobile Robots. - Plamen Angelov 001; Xiaowei Zhou 002 (Mobile Robots, 2007)

A Retrospective Comparative Study of Three Data Modelling Techniques in Anticoagulation Therapy. - Simon McDonald; Costas S. Xydeas; Plamen Angelov 001 (BMEI (1), 2008)

Decision Support Systems: Improving Levels of Care and Lowering Costs in Anticoagulation Therapy. - Simon McDonald; Costas S. Xydeas; Plamen Angelov 001 (eHealth, 2008)

On line learning fuzzy rule-based system structure from data streams. - Plamen Angelov 001; Xiaowei Zhou 002 (FUZZ-IEEE, 2008)

Evolving fuzzy inferential sensors for process industry. - Plamen Angelov 001; Arthur K. Kordon; Xiaowei Zhou 002 (GEFS, 2008)

Autonomous novelty detection and object tracking in video streams using evolving clustering and Takagi-Sugeno type neuro-fuzzy system. - Plamen Angelov 001; Ramin Ramezani; Xiaowei Zhou 002 (IJCNN, 2008)

A Passive Approach to Autonomous Collision Detection and Avoidance. - Plamen Angelov 001; Cosmin Danut Bocaniala; Costas S. Xydeas; Charles Patchett; Darren Ansell; Michael Everett; Gang Leng (UKSim, 2008)

Evolving fuzzy classifiers using different model architectures. - Plamen Angelov 001; Edwin Lughofer; Xiaowei Zhou 002 (Fuzzy Sets Syst., 2008)

Data-driven evolving fuzzy systems using eTS and FLEXFIS: comparative analysis. - Plamen Angelov 001; Edwin Lughofer (Int. J. Gen. Syst., 2008)

Evolving fuzzy systems. - Plamen Angelov 001 (Scholarpedia, 2008)

Guest Editorial Evolving Fuzzy Systems - Preface to the Special Section. - Plamen Angelov 001; Dimitar P. Filev; Nikola K. Kasabov (IEEE Trans. Fuzzy Syst., 2008)

Evolving Fuzzy-Rule-Based Classifiers From Data Streams. - Plamen P. Angelov; Xiaowei Zhou 002 (IEEE Trans. Fuzzy Syst., 2008)

Detecting and Reacting on Drifts and Shifts in On-Line Data Streams with Evolving Fuzzy Systems. - Edwin Lughofer; Plamen Angelov 001 (IFSA/EUSFLAT Conf., 2009)

Evolving Fuzzy Systems. - Plamen Angelov 001 (Encyclopedia of Complexity and Systems Science, 2009)

Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (ECAI, 2010)

Real-time human activity recognition from wireless sensors using evolving fuzzy systems. - Javier Andreu 001; Plamen Angelov 001 (FUZZ-IEEE, 2010)

Forecasting time-series for NN GC1 using Evolving Takagi-Sugeno (eTS) Fuzzy Systems with on-line inputs selection. - Javier Andreu 001; Plamen Angelov 001 (FUZZ-IEEE, 2010)

User modeling: Through statistical analysis and an evolving classifier. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (FUZZ-IEEE, 2010)

A Fast Recursive Approach to Autonomous Detection, Identification and Tracking of Multiple Objects in Video Streams under Uncertainties. - Pouria Sadeghi-Tehran; Plamen Angelov 001; Ramin Ramezani (IPMU (2), 2010)

A simple fuzzy rule-based system through vector membership and kernel-based granulation. - Plamen Angelov 001; Ronald R. Yager (IEEE Conf. of Intelligent Systems, 2010)

Editorial. - Plamen Angelov 001; Dimitar P. Filev; Nikola K. Kasabov (Evol. Syst., 2010)

Evolving classification of agents' behaviors: a general approach. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (Evol. Syst., 2010)

Human Activity Recognition Based on Evolving Fuzzy Systems. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (Int. J. Neural Syst., 2010)

Evolving takagi sugeno modelling with memory for slow processes. - Simon McDonald; Plamen Angelov 001 (Int. J. Knowl. Based Intell. Eng. Syst., 2010)

Adaptive Inferential Sensors Based on Evolving Fuzzy Models. - Plamen Angelov 001; Arthur K. Kordon (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Simplified fuzzy rule-based systems using non-parametric antecedents and relative data density. - Plamen Angelov 001; Ronald R. Yager (EAIS, 2011)

Evolving human activity classifier from sensor streams. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (EAIS, 2011)

Online self-evolving fuzzy controller for autonomous mobile robots. - Pouria Sadeghi-Tehran; Plamen Angelov 001 (EAIS, 2011)

Automatic scene recognition for low-resource devices using evolving classifiers. - Javier Andreu 001; Rashmi Dutta Baruah; Plamen Angelov 001 (FUZZ-IEEE, 2011)

Real time recognition of human activities from wearable sensors by evolving classifiers. - Javier Andreu 001; Rashmi Dutta Baruah; Plamen Angelov 001 (FUZZ-IEEE, 2011)

Autonomous Learning Machines - Generating Rules from Data Streams. - Plamen Angelov 001 (IJCCI (NCTA), 2011)

Simpl_eClass: Simplified potential-free evolving fuzzy rule-based classifiers. - Rashmi Dutta Baruah; Plamen Angelov 001; Javier Andreu 001 (SMC, 2011)

Handling drifts and shifts in on-line data streams with evolving fuzzy systems. - Edwin Lughofer; Plamen Angelov 001 (Appl. Soft Comput., 2011)

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. - Plamen Angelov 001; Pouria Sadeghi-Tehran; Ramin Ramezani (Int. J. Intell. Syst., 2011)

Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network. - José de Jesús Rubio; Plamen Angelov 001; Jaime Pacheco 001 (IEEE Trans. Neural Networks, 2011)

Fuzzily Connected Multimodel Systems Evolving Autonomously From Data Streams. - Plamen Angelov 001 (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Evolving fuzzy systems for data streams: a survey. - Rashmi Dutta Baruah; Plamen Angelov 001 (WIREs Data Mining Knowl. Discov., 2011)

Automatic mobile photographer and picture diary. - Plamen Angelov 001; Javier Andreu 001; Tu Vuong (EAIS, 2012)

Evolving social network analysis: A case study on mobile phone data. - Rashmi Dutta Baruah; Plamen Angelov 001 (EAIS, 2012)

A real-time approach for novelty detection and trajectories analysis for anomaly recognition in video surveillance systems. - Pouria Sadeghi-Tehran; Plamen Angelov 001 (EAIS, 2012)

Autonomous visual self-localization in completely unknown environment. - Pouria Sadeghi-Tehran; Sasmita Behera; Plamen Angelov 001; Javier Andreu 001 (EAIS, 2012)

Evolving local means method for clustering of streaming data. - Rashmi Dutta Baruah; Plamen Angelov 001 (FUZZ-IEEE, 2012)

Self-evolving parameter-free Rule-based Controller. - Pouria Sadeghi-Tehran; Ana Belén Cara; Plamen Angelov 001; Héctor Pomares; Ignacio Rojas; Alberto Prieto (FUZZ-IEEE, 2012)

Adaptive resilience for computer networks: Using online fuzzy learning. - Azman Ali; David Hutchison 001; Plamen Angelov 001; Paul Smith 001 (ICUMT, 2012)

ARTOT: Autonomous real-time object detection and tracking by a moving camera. - Plamen Angelov 001; Chirag Gude; Pouria Sadeghi-Tehran; Tsvetan Ivanov (IEEE Conf. of Intelligent Systems, 2012)

A new type of simplified fuzzy rule-based system. - Plamen Angelov 001; Ronald R. Yager (Int. J. Gen. Syst., 2012)

Creating Evolving User Behavior Profiles Automatically. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (IEEE Trans. Knowl. Data Eng., 2012)

A practical implementation of self-evolving cloud-based control of a pilot plant. - Bruno Sielly Jales Costa; Igor Skrjanc; Saso Blazic; Plamen Angelov 001 (CYBCONF, 2013)

Robust evolving cloud-based controller for a hydraulic plant. - Plamen Angelov 001; Igor Skrjanc; Saso Blazic (EAIS, 2013)

ARFA: Automated real-time flight data analysis using evolving clustering, classifiers and recursive density estimation. - Denis Kolev; Plamen Angelov 001; Garegin Markarian; Mikhail Suvorov; S. Lysanov (EAIS, 2013)

Online learning and prediction of data streams using dynamically evolving fuzzy approach. - Rashmi Dutta Baruah; Plamen Angelov 001 (FUZZ-IEEE, 2013)

Vehicle Plate Recognition Using Improved Neocognitron Neural Network. - Dmitry Kangin; George Kolev; Plamen Angelov 001 (ICANN, 2013)

OSA: One-Class Recursive SVM Algorithm with Negative Samples for Fault Detection. - Mikhail Suvorov; Sergey Ivliev; Garegin Markarian; Denis Kolev; Dmitry Zvikhachevskiy; Plamen Angelov 001 (ICANN, 2013)

Incremental anomaly identification by adapted SVM method. - Mikhail Suvorov; Sergey Ivliev; Garegin Markarian; Denis Kolev; Dmitry Zvikhachevskiy; Plamen Angelov 001 (IJCNN, 2013)

Towards an autonomous resilience strategy the implementation of a self evolving rate limiter. - Azman Ali; David Hutchison 001; Plamen Angelov 001; Paul Smith 001 (UKCI, 2013)

IRootLab: a free and open-source MATLAB toolbox for vibrational biospectroscopy data analysis. - Júlio Trevisan; Plamen P. Angelov; Andrew D. Scott; Paul L. Carmichael; Francis L. Martin (Bioinform., 2013)

Analysis of evolving social network: methods and results from cell phone dataset case study. - Rashmi Dutta Baruah; Plamen Angelov 001 (Int. J. Soc. Netw. Min., 2013)

Density-based averaging - A new operator for data fusion. - Plamen Angelov 001; Ronald R. Yager (Inf. Sci., 2013)

Towards generic human activity recognition for ubiquitous applications. - Javier Andreu 001; Plamen Angelov 001 (J. Ambient Intell. Humaniz. Comput., 2013)

An evolving machine learning method for human activity recognition systems. - Javier Andreu 001; Plamen Angelov 001 (J. Ambient Intell. Humaniz. Comput., 2013)

Symbol recognition with a new autonomously evolving classifier autoclass. - Plamen Angelov 001; Dmitry Kangin; Xiaowei Zhou 002; Denis Kolev (EAIS, 2014)

Dynamically evolving clustering for data streams. - Rashmi Dutta Baruah; Plamen Angelov 001; Diganta Baruah (EAIS, 2014)

Robust evolving cloud-based PID control adjusted by gradient learning method. - Igor Skrjanc; Saso Blazic; Plamen Angelov 001 (EAIS, 2014)

Anomaly detection based on eccentricity analysis. - Plamen Angelov 001 (EALS, 2014)

RTSDE: Recursive total-sum-distances-based density estimation approach and its application for autonomous real-time video analytics. - Plamen Angelov 001; Ashley Wilding (EALS, 2014)

A fully autonomous Data Density based Clustering technique. - Richard Hyde; Plamen Angelov 001 (EALS, 2014)

A real-time approach for autonomous detection and tracking of moving objects from UAV. - Pouria Sadeghi-Tehran; Christopher Clarke; Plamen Angelov 001 (EALS, 2014)

Dynamically evolving fuzzy classifier for real-time classification of data streams. - Rashmi Dutta Baruah; Plamen Angelov 001; Diganta Baruah (FUZZ-IEEE, 2014)

A new unsupervised approach to fault detection and identification. - Bruno Sielly Jales Costa; Plamen Parvanov Angelov; Luiz Affonso Guedes (IJCNN, 2014)

ATDT: Autonomous Template-Based Detection and Tracking of Objects from Airborne Camera. - Pouria Sadeghi-Tehran; Plamen Angelov 001 (IEEE Conf. on Intelligent Systems (2), 2014)

Real-time novelty detection in video using background subtraction techniques: State of the art a practical review. - Gruffydd Morris; Plamen Angelov 001 (SMC, 2014)

Data density based clustering. - Richard Hyde; Plamen Angelov 001 (UKCI, 2014)

Outside the box: an alternative data analytics framework. - Plamen Angelov 001 (J. Autom. Mob. Robotics Intell. Syst., 2014)

SARIVA: Smartphone APP for Real-time Intelligent Video Analytics. - Christopher Clarke; Plamen Angelov 001 (J. Autom. Mob. Robotics Intell. Syst., 2014)

DEC: Dynamically Evolving Clustering and Its Application to Structure Identification of Evolving Fuzzy Models. - Rashmi Dutta Baruah; Plamen Angelov 001 (IEEE Trans. Cybern., 2014)

PANFIS: A Novel Incremental Learning Machine. - Mahardhika Pratama; Sreenatha G. Anavatti; Plamen P. Angelov; Edwin Lughofer (IEEE Trans. Neural Networks Learn. Syst., 2014)

A new online clustering approach for data in arbitrary shaped clusters. - Richard Hyde; Plamen Angelov 001 (CYBCONF, 2015)

Analysis of adaptation law of the robust evolving cloud-based controller. - Goran Andonovski; Saso Blazic; Plamen Angelov 001; Igor Skrjanc (EAIS, 2015)

Preface. - Moamar Sayed-Mouchaweh; Anthony Fleury; Plamen Angelov 001; Edwin Lughofer; José Antonio Iglesias 001 (EAIS, 2015)

Robust Evolving Cloud-based Controller in normalized data space for heat-exchanger plant. - Goran Andonovski; Saso Blazic; Plamen Angelov 001; Igor Skrjanc (FUZZ-IEEE, 2015)

A comparative study of autonomous learning outlier detection methods applied to fault detection. - Clauber Gomes Bezerra; Bruno Sielly Jales Costa; Luiz Affonso Guedes; Plamen Parvanov Angelov (FUZZ-IEEE, 2015)

Typicality distribution function - A new density-based data analytics tool. - Plamen Angelov 001 (IJCNN, 2015)

Online fault detection based on Typicality and Eccentricity Data Analytics. - Bruno Sielly Jales Costa; Clauber Gomes Bezerra; Luiz Affonso Guedes; Plamen Parvanov Angelov (IJCNN, 2015)

Evolving clustering, classification and regression with TEDA. - Dmitry Kangin; Plamen Angelov 001 (IJCNN, 2015)

A Nested Hierarchy of Dynamically Evolving Clouds for Big Data Structuring and Searching. - Plamen Angelov 001; Pouria Sadeghi-Tehran (INNS Conference on Big Data, 2015)

Evolving Classifier TEDAClass for Big Data. - Dmitry Kangin; Plamen Angelov 001; José Antonio Iglesias 001; Araceli Sanchis (INNS Conference on Big Data, 2015)

RDE with Forgetting: An Approximate Solution for Large Values of k with an Application to Fault Detection Problems. - Clauber Gomes Bezerra; Bruno Sielly Jales Costa; Luiz Affonso Guedes; Plamen Parvanov Angelov (SLDS, 2015)

Recursive SVM Based on TEDA. - Dmitry Kangin; Plamen Angelov 001 (SLDS, 2015)

Edge Flow. - Gruffydd Morris; Plamen Angelov 001 (SMC, 2015)

An overview on fault diagnosis and nature-inspired optimal control of industrial process applications. - Radu-Emil Precup; Plamen Angelov 001; Bruno Sielly Jales Costa; Moamar Sayed-Mouchaweh (Comput. Ind., 2015)

Synergy of computers, cognition, communication and control with industrial applications. - Radu-Emil Precup; Hans Hellendoorn; Plamen Angelov 001 (Comput. Ind., 2015)

Fully unsupervised fault detection and identification based on recursive density estimation and self-evolving cloud-based classifier. - Bruno Sielly Jales Costa; Plamen Parvanov Angelov; Luiz Affonso Guedes (Neurocomputing, 2015)

A Robust Evolving Cloud-Based Controller. - Plamen P. Angelov; Igor Skrjanc; Saso Blazic (Handbook of Computational Intelligence, 2015)

A new evolving clustering algorithm for online data streams. - Clauber Gomes Bezerra; Bruno Sielly Jales Costa; Luiz Affonso Guedes; Plamen Parvanov Angelov (EAIS, 2016)

Online evolving fuzzy rule-based prediction model for high frequency trading financial data stream. - Xiaowei Gu 001; Plamen P. Angelov; Azliza Mohd Ali; William A. Gruver; Georgi Gaydadjiev (EAIS, 2016)

Challenges in Deep Learning. - Plamen Angelov 001; Alessandro Sperduti (ESANN, 2016)

Unsupervised classification of data streams based on Typicality and Eccentricity Data Analytics. - Bruno Sielly Jales Costa; Clauber Gomes Bezerra; Luiz Affonso Guedes; Plamen Parvanov Angelov (FUZZ-IEEE, 2016)

Autonomous Data Density based clustering method. - Plamen P. Angelov; Xiaowei Gu 001; Germán Gutiérrez; José Antonio Iglesias 001; Araceli Sanchis (IJCNN, 2016)

A general purpose intelligent surveillance system for mobile devices using Deep Learning. - Antreas Antoniou; Plamen Angelov 001 (IJCNN, 2016)

Parallel Computing TEDA for High Frequency Streaming Data Clustering. - Xiaowei Gu 001; Plamen P. Angelov; Germán Gutiérrez; José Antonio Iglesias 001; Araceli Sanchis (INNS Conference on Big Data, 2016)

Empirical data analysis: A new tool for data analytics. - Plamen Angelov 001; Xiaowei Gu 001; Dmitry Kangin; José C. Príncipe (SMC, 2016)

Autonomous data-driven clustering for live data stream. - Xiaowei Gu 001; Plamen P. Angelov (SMC, 2016)

Local modes-based free-shape data partitioning. - Plamen Angelov 001; Xiaowei Gu 001 (SSCI, 2016)

Detecting Anomalous Behaviour Using Heterogeneous Data. - Azliza Mohd Ali; Plamen Angelov 001; Xiaowei Gu 001 (UKCI, 2016)

Vision Based Human Activity Recognition: A Review. - Allah Bux Sargano; Plamen Angelov 001; Zulfiqar Habib (UKCI, 2016)

A practical implementation of Robust Evolving Cloud-based Controller with normalized data space for heat-exchanger plant. - Goran Andonovski; Plamen Angelov 001; Saso Blazic; Igor Skrjanc (Appl. Soft Comput., 2016)

An evolving approach to unsupervised and Real-Time fault detection in industrial processes. - Clauber Gomes Bezerra; Bruno Sielly Jales Costa; Luiz Affonso Guedes; Plamen Parvanov Angelov (Expert Syst. Appl., 2016)

Autonomously evolving classifier TEDAClass. - Dmitry Kangin; Plamen Angelov 001; José Antonio Iglesias 001 (Inf. Sci., 2016)

MICE: Multi-Layer Multi-Model Images Classifier Ensemble. - Plamen Angelov 001; Xiaowei Gu 001 (CYBCONF, 2017)

Gender and Age Classification of Human Faces for Automatic Detection of Anomalous Human Behaviour. - Xiaofeng Wang; Azliza Mohd Ali; Plamen Angelov 001 (CYBCONF, 2017)

Robust Evolving Cloud-based Controller (RECCo). - Goran Andonovski; Plamen Angelov 001; Saso Blazic; Igor Skrjanc (EAIS, 2017)

Autonomous learning multi-model classifier of 0-Order (ALMMo-0). - Plamen Angelov 001; Xiaowei Gu 001 (EAIS, 2017)

Autonomous anomaly detection. - Xiaowei Gu 001; Plamen Angelov 001 (EAIS, 2017)

Fast feedforward non-parametric deep learning network with automatic feature extraction. - Plamen Angelov 001; Xiaowei Gu 001; José C. Príncipe (IJCNN, 2017)

A randomized neural network for data streams. - Mahardhika Pratama; Plamen P. Angelov; Jie Lu 001; Edwin Lughofer; Manjeevan Seera; Chee Peng Lim (IJCNN, 2017)

Human action recognition using transfer learning with deep representations. - Allah Bux Sargano; Xiaofeng Wang; Plamen Angelov 001; Zulfiqar Habib (IJCNN, 2017)

A cascade of deep learning fuzzy rule-based image classifier and SVM. - Plamen Angelov 001; Xiaowei Gu 001 (SMC, 2017)

Editorial Soft Computing Applied to Swarm Robotics. - Nadia Nedjah; Plamen Angelov 001; Oscar Castillo 001; Luiza de Macedo Mourelle; Chao Wang 003 (Appl. Soft Comput., 2017)

A new type of distance metric and its use for clustering. - Xiaowei Gu 001; Plamen P. Angelov; Dmitry Kangin; José C. Príncipe (Evol. Syst., 2017)

Empirical Data Analytics. - Plamen Angelov 001; Xiaowei Gu 001; Dmitry Kangin (Int. J. Intell. Syst., 2017)

Look-a-Like: A Fast Content-Based Image Retrieval Approach Using a Hierarchically Nested Dynamically Evolving Image Clouds and Recursive Local Data Density. - Plamen Angelov 001; Pouria Sadeghi-Tehran (Int. J. Intell. Syst., 2017)

Fully online clustering of evolving data streams into arbitrarily shaped clusters. - Richard Hyde; Plamen Angelov 001; Angus Robert MacKenzie (Inf. Sci., 2017)

AURORA: autonomous real-time on-board video analytics. - Plamen Angelov 001; Pouria Sadeghi-Tehran; Christopher Clarke (Neural Comput. Appl., 2017)

Towards Large Scale Ad-hoc Teamwork. - Elnaz Shafipour Yourdshahi; Thomas Pinder; Gauri Dhawan; Leandro Soriano Marcolino; Plamen Angelov 001 (ICA, 2018)

Empirical Approach to Learning from Data (Streams). - Plamen Angelov 001 (ICEIS (1), 2018)

Foreign currency exchange rate prediction using neuro-fuzzy systems. - Yoke Leng Yong; Yunli Lee; Xiaowei Gu 001; Plamen P. Angelov; David Chek Ling Ngo; Elnaz Shafipour (INNS Conference on Big Data, 2018)

A Deep Rule-Based Approach for Satellite Scene Image Analysis. - Xiaowei Gu 001; Plamen Angelov 001 (SMC, 2018)

Towards Evolving Cooperative Mapping for Large-Scale UAV Teams. - Elnaz Shafipour Yourdshahi; Plamen Angelov 001; Leandro Soriano Marcolino; Georgios Tsianakas (SSCI, 2018)

How Best to Design Fuzzy Sets and Systems - In Memory of Prof. Lotfi A. Zadeh. - Plamen Angelov 001 (WILF, 2018)

Semi-supervised deep rule-based approach for image classification. - Xiaowei Gu 001; Plamen P. Angelov (Appl. Soft Comput., 2018)

Toward Anthropomorphic Machine Learning. - Plamen P. Angelov; Xiaowei Gu 001 (Computer, 2018)

Empirical Fuzzy Sets. - Plamen P. Angelov; Xiaowei Gu 001 (Int. J. Intell. Syst., 2018)

Deep rule-based classifier with human-level performance and characteristics. - Plamen P. Angelov; Xiaowei Gu 001 (Inf. Sci., 2018)

Self-organising fuzzy logic classifier. - Xiaowei Gu 001; Plamen P. Angelov (Inf. Sci., 2018)

Self-Organised direction aware data partitioning algorithm. - Xiaowei Gu 001; Plamen Angelov 001; Dmitry Kangin; José C. Príncipe (Inf. Sci., 2018)

A method for autonomous data partitioning. - Xiaowei Gu 001; Plamen P. Angelov; José C. Príncipe (Inf. Sci., 2018)

Parsimonious random vector functional link network for data streams. - Mahardhika Pratama; Plamen P. Angelov; Edwin Lughofer; Meng Joo Er (Inf. Sci., 2018)

A novel algorithm for the modeling of complex processes. - José de Jesús Rubio; Edwin Lughofer; Plamen Angelov 001; Juan Francisco Novoa; Jesús A. Meda-Campaña (Kybernetika, 2018)

A Massively Parallel Deep Rule-Based Ensemble Classifier for Remote Sensing Scenes. - Xiaowei Gu 001; Plamen P. Angelov; Ce Zhang 005; Peter M. Atkinson (IEEE Geosci. Remote. Sens. Lett., 2018)

Anomalous behaviour detection based on heterogeneous data and data fusion. - Azliza Mohd Ali; Plamen Angelov 001 (Soft Comput., 2018)

The 16th Annual UK Workshop on Computational Intelligence. - Plamen Angelov 001; Changjing Shang; Fei Chao 001 (Soft Comput., 2018)

A Generalized Methodology for Data Analysis. - Plamen P. Angelov; Xiaowei Gu 001; José C. Príncipe (IEEE Trans. Cybern., 2018)

Autonomous Learning Multimodel Systems From Data Streams. - Plamen P. Angelov; Xiaowei Gu 001; José C. Príncipe (IEEE Trans. Fuzzy Syst., 2018)

Correntropy-Based Evolving Fuzzy Neural System. - Rong-Jing Bao; Hai-Jun Rong; Plamen P. Angelov; Badong Chen; Pak-Kin Wong 001 (IEEE Trans. Fuzzy Syst., 2018)

Stability of Evolving Fuzzy Systems Based on Data Clouds. - Hai-Jun Rong; Plamen P. Angelov; Xiaowei Gu 001; Jian-Ming Bai (IEEE Trans. Fuzzy Syst., 2018)

Explainable Density-Based Approach for Self-Driving Actions Classification. - Eduardo A. Soares 001; Plamen Angelov 001; Dimitar P. Filev; Bruno Costa 004; Marcos Castro; Subramanya Nageshrao (ICMLA, 2019)

Deep Rule-Based Aerial Scene Classifier using High-Level Ensemble Feature Descriptor. - Xiaowei Gu 001; Plamen P. Angelov (IJCNN, 2019)

Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios. - Eduardo A. Soares 001; Plamen Angelov 001; Bruno Costa 004; Marcos Castro (IJCNN, 2019)

A Semi-supervised Deep Rule-Based Approach for Remote Sensing Scene Classification. - Xiaowei Gu 001; Plamen P. Angelov (INNSBDDL, 2019)

Self-Organising and Self-Learning Model for Soybean Yield Prediction. - Mona Alghamdi; Plamen Angelov 001; Raul Gimenez; Mariana C. Rufino; Eduardo A. Soares 001 (SNAMS, 2019)

Self-boosting first-order autonomous learning neuro-fuzzy systems. - Xiaowei Gu 001; Plamen Angelov 001 (Appl. Soft Comput., 2019)

A distance-type-insensitive clustering approach. - Xiaowei Gu 001; Plamen Angelov 001; Zhijin Zhao (Appl. Soft Comput., 2019)

Fair-by-design explainable models for prediction of recidivism. - Eduardo A. Soares 001; Plamen Angelov 001 (CoRR, 2019)

Novelty Detection and Learning from Extremely Weak Supervision. - Eduardo A. Soares 001; Plamen Angelov 001 (CoRR, 2019)

Local optimality of self-organising neuro-fuzzy inference systems. - Xiaowei Gu 001; Plamen Angelov 001; Hai-Jun Rong (Inf. Sci., 2019)

Scalable Database Indexing and Fast Image Retrieval Based on Deep Learning and Hierarchically Nested Structure Applied to Remote Sensing and Plant Biology. - Pouria Sadeghi-Tehran; Plamen Angelov 001; Nicolas Virlet; Malcolm J. Hawkesford (J. Imaging, 2019)

Empirical Approach to Machine Learning - Plamen P. Angelov; Xiaowei Gu 001 (Springer, 2019)

On-line Estimators for Ad-hoc Task Allocation. - Elnaz Shafipour Yourdshahi; Matheus Aparecido do Carmo Alves; Leandro Soriano Marcolino; Plamen Angelov 001 (AAMAS, 2020)

A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion. - Xiaowei Gu 001; Muhammad Aurangzeb Khan; Plamen Angelov 001; Bikash Tiwary; Elnaz Shafipour Yourdshahi; Zhao-Xu Yang (FUZZ-IEEE, 2020)

Concept Drift Detection Using Autoencoders in Data Streams Processing. - Maciej Jaworski; Leszek Rutkowski; Plamen Angelov 001 (ICAISC (1), 2020)

Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference. - Plamen Angelov 001; Eduardo A. Soares 001 (SMC, 2020)

Deep Learning-Based Automated Forest Health Diagnosis From Aerial Images. - Chia-Yen Chiang; Chloe Barnes 001; Plamen Angelov 001; Richard Jiang 001 (IEEE Access, 2020)

Highly interpretable hierarchical deep rule-based classifier. - Xiaowei Gu 001; Plamen P. Angelov (Appl. Soft Comput., 2020)

Autonomous Learning Multiple-Model zero-order classifier for heart sound classification. - Eduardo A. Soares 001; Plamen Angelov 001; Xiaowei Gu 001 (Appl. Soft Comput., 2020)

Interpretable policies for reinforcement learning by empirical fuzzy sets. - Jianfeng Huang; Plamen P. Angelov; Chengliang Yin (Eng. Appl. Artif. Intell., 2020)

A self-adaptive synthetic over-sampling technique for imbalanced classification. - Xiaowei Gu 001; Plamen P. Angelov; Eduardo A. Soares 001 (Int. J. Intell. Syst., 2020)

An evolving approach to data streams clustering based on typicality and eccentricity data analytics. - Clauber Gomes Bezerra; Bruno Sielly Jales Costa; Luiz Affonso Guedes; Plamen Parvanov Angelov (Inf. Sci., 2020)

Human action recognition using deep rule-based classifier. - Allah Bux Sargano; Xiaowei Gu 001; Plamen Angelov 001; Zulfiqar Habib (Multim. Tools Appl., 2020)

Towards explainable deep neural networks (xDNN). - Plamen Angelov 001; Eduardo A. Soares 001 (Neural Networks, 2020)

Stochastic Computing co-processing elements for Evolving Autonomous Data Partitioning. - Alejandro Morán; Vincent Canals; Plamen P. Angelov; Christiam F. Frasser; Erik S. Skibinsky-Gitlin; Joan Font; Eugeni Isern 001; Miquel Roca 001; Josep L. Rosselló (DCIS, 2021)

Robust End-to-End Hand Identification via Holistic Multi-Unit Knuckle Recognition. - Ritesh Vyas; Hossein Rahmani 001; Ricki Boswell-Challand; Plamen Angelov 001; Sue Black 002; Bryan M. Williams 001 (IJCB, 2021)

Keynote: Explainable-by-design Deep Learning. - Plamen Angelov 001 (PerCom Workshops, 2021)

Automated Person Identification Framework Based on Fingernails and Dorsal Knuckle Patterns. - Mona Alghamdi; Plamen Angelov 001; Bryan M. Williams 001 (SSCI, 2021)

Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning. - Nathanael L. Baisa; Zheheng Jiang; Ritesh Vyas; Bryan M. Williams 001; Hossein Rahmani 001; Plamen Angelov 001; Sue Black 002 (CoRR, 2021)

Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World. - Farshad Firouzi; Bahareh J. Farahani; Mahmoud Daneshmand; Kathy Grise; Jaeseung Song; Roberto Saracco; Lucy Lu Wang; Kyle Lo; Plamen Angelov 001; Eduardo A. Soares 001; Po-Shen Loh; Zeynab Talebpour; et al. (IEEE Internet Things J., 2021)

Self-organizing fuzzy inference ensemble system for big streaming data classification. - Xiaowei Gu 001; Plamen Angelov 001; Zhijin Zhao (Knowl. Based Syst., 2021)

Detecting and learning from unknown by extremely weak supervision: exploratory classifier (xClass). - Plamen Angelov 001; Eduardo A. Soares 001 (Neural Comput. Appl., 2021)

Particle Swarm Optimized Autonomous Learning Fuzzy System. - Xiaowei Gu 001; Qiang Shen 001; Plamen P. Angelov (IEEE Trans. Cybern., 2021)

Explaining Deep Learning Models Through Rule-Based Approximation and Visualization. - Eduardo A. Soares 001; Plamen P. Angelov; Bruno Costa 004; Marcos Castro; Subramanya Nageshrao; Dimitar P. Filev (IEEE Trans. Fuzzy Syst., 2021)

Self-Evolving Data Cloud-Based PID-Like Controller for Nonlinear Uncertain Systems. - Zhao-Xu Yang; Hai-Jun Rong; Pak-Kin Wong 001; Plamen Angelov 001; Zhi-Xin Yang 001; Hang Wang (IEEE Trans. Ind. Electron., 2021)

Explainable artificial intelligence: an analytical review. - Plamen P. Angelov; Eduardo A. Soares 001; Richard Jiang 001; Nicholas I. Arnold; Peter M. Atkinson (WIREs Data Mining Knowl. Discov., 2021)

Graph-context Attention Networks for Size-varied Deep Graph Matching. - Zheheng Jiang; Hossein Rahmani 001; Plamen Angelov 001; Sue Black 002; Bryan M. Williams 001 (CVPR, 2022)

Multi-Branch with Attention Network for Hand-Based Person Recognition. - Nathanael L. Baisa; Bryan M. Williams 001; Hossein Rahmani 001; Plamen Angelov 001; Sue Black 002 (ICPR, 2022)

Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning. - Nathanael L. Baisa; Bryan M. Williams 001; Hossein Rahmani 001; Plamen Angelov 001; Sue Black 002 (IPTA, 2022)

An Interpretable Deep Semantic Segmentation Method for Earth Observation. - Ziyang Zhang; Plamen Angelov 001; Eduardo Almeida Soares 001; Nicolas Longépé; Pierre-Philippe Mathieu (IS, 2022)

PPFM: An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework. - Zhengxin Yu; Yang Lu; Plamen Angelov 001; Neeraj Suri (MSN, 2022)

Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks. - Eduardo A. Soares 001; Plamen Angelov 001; Neeraj Suri (SSCI, 2022)

On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork. - Elnaz Shafipour Yourdshahi; Matheus Aparecido do Carmo Alves; Amokh Varma; Leandro Soriano Marcolino; Jó Ueyama; Plamen Angelov 001 (Auton. Agents Multi Agent Syst., 2022)

A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine. - Zhao-Xu Yang; Hai-Jun Rong; Pak Kin Wong 001; Plamen Angelov 001; Chi-Man Vong; Chi-Chong Chiu; Zhi-Xin Yang 001 (Cogn. Comput., 2022)

Person identification from fingernails and knuckles images using deep learning features and the Bray-Curtis similarity measure. - Mona Alghamdi; Plamen Angelov 001; Lopez Pellicer Alvaro (Neurocomputing, 2022)

A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification. - Xiaowei Gu 001; Ce Zhang 005; Qiang Shen 001; Jungong Han; Plamen P. Angelov; Peter M. Atkinson (Inf. Fusion, 2022)

Editorial: Special issue on recent progress in autonomous machine learning. - Mahardhika Pratama; Edwin Lughofer; Plamen P. Angelov (Inf. Sci., 2022)

A Semi-Supervised Deep Rule-Based Approach for Complex Satellite Sensor Image Analysis. - Xiaowei Gu 001; Plamen P. Angelov; Ce Zhang 005; Peter M. Atkinson (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Ensemble-Based Bounding Box Regression for Enhanced Knuckle Localization. - Ritesh Vyas; Bryan M. Williams 001; Hossein Rahmani 001; Ricki Boswell-Challand; Zheheng Jiang; Plamen Angelov 001; Sue Black 002 (Sensors, 2022)

Multiclass Fuzzily Weighted Adaptive-Boosting-Based Self-Organizing Fuzzy Inference Ensemble Systems for Classification. - Xiaowei Gu 001; Plamen P. Angelov (IEEE Trans. Fuzzy Syst., 2022)

Self-Organizing Fuzzy Belief Inference System for Classification. - Xiaowei Gu 001; Plamen P. Angelov; Qiang Shen 001 (IEEE Trans. Fuzzy Syst., 2022)

Statistically Evolving Fuzzy Inference System for Non-Gaussian Noises. - Zhao-Xu Yang; Hai-Jun Rong; Plamen Angelov 001; Zhi-Xin Yang 001 (IEEE Trans. Fuzzy Syst., 2022)

Interpretable-through-prototypes deepfake detection for diffusion models. - Agil Aghasanli; Dmitry Kangin; Plamen Angelov 001 (ICCV (Workshops), 2023)

Domain Generalization and Feature Fusion for Cross-domain Imperceptible Adversarial Attack Detection. - Yi Li 047; Plamen Angelov 001; Neeraj Suri (IJCNN, 2023)

Fuzzy Detectors Against Adversarial Attacks. - Yi Li 047; Plamen Angelov 001; Neeraj Suri (SSCI, 2023)

Autonomous learning for fuzzy systems: a review. - Xiaowei Gu 001; Jungong Han; Qiang Shen 001; Plamen P. Angelov (Artif. Intell. Rev., 2023)

Towards interpretable-by-design deep learning algorithms. - Plamen Angelov 001; Dmitry Kangin; Ziyang Zhang (CoRR, 2023)

Delve Into Neural Activations: Toward Understanding Dying Neurons. - Ziping Jiang; Yunpeng Wang; Chang-Tsun Li; Plamen Angelov 001; Richard Jiang 001 (IEEE Trans. Artif. Intell., 2023)

An Improved Explainable Point Cloud Classifier (XPCC). - Nicholas I. Arnold; Plamen Angelov 001; Peter M. Atkinson (IEEE Trans. Artif. Intell., 2023)

Obituary Edwin Lughofer (1972-2023). - Plamen Angelov 001; Dimitar P. Filev; Nikola K. Kasabov; Daniel Leite 001; Maharadhika Pratama; Susanne Saminger-Platz; Erich-Peter Klement (Evol. Syst., 2023)

Multilayer Evolving Fuzzy Neural Networks. - Xiaowei Gu 001; Plamen Angelov 001; Jungong Han; Qiang Shen 001 (IEEE Trans. Fuzzy Syst., 2023)

PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection. - Alvaro Lopez Pellcier; Yi Li 047; Plamen Angelov 001 (CVPR Workshops, 2024)

Edge Implementation of Unsupervised Self-evolving Vision Classifier. - Agil Aghasanli; Plamen Angelov 001 (EAIS, 2024)

Self-supervised Representation Learning for Adversarial Attack Detection. - Yi Li 047; Plamen Angelov 001; Neeraj Suri (ECCV (60), 2024)

Unsupervised Drift Detection Using Quadtree Spatial Mapping. - Bernardo A. Ramos; Cristiano Leite de Castro; Tiago A. Coelho; Plamen Angelov 001 (ESANN, 2024)

Federated Adversarial Learning for Robust Autonomous Landing Runway Detection. - Yi Li 047; Plamen Angelov 001; Zhengxin Yu; Alvaro Lopez Pellicer; Neeraj Suri (ICANN (6), 2024)

Rethinking Self-supervised Learning for Cross-domain Adversarial Sample Recovery. - Yi Li 047; Plamen Angelov 001; Neeraj Suri (IJCNN, 2024)

UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification. - Alvaro Lopez Pellicer; Kittipos Giatgong; Yi Li 047; Neeraj Suri; Plamen Angelov 001 (IJCNN, 2024)

Machine Learning within Latent Spaces formed by Foundation Models. - Bernard Tomczyk; Plamen Angelov 001; Dmitry Kangin (IS, 2024)

Unsupervised Domain Adaptation within Deep Foundation Latent Spaces. - Dmitry Kangin; Plamen Angelov 001 (CoRR, 2024)

Marine Debris Detection in Satellite Surveillance Using Attention Mechanisms. - Ao Shen; Yijie Zhu; Plamen Angelov 001; Richard Jiang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Deep orientated distance-transform network for geometric-aware centerline detection. - Zheheng Jiang; Hossein Rahmani 001; Plamen Angelov 001; Ritesh Vyas; Huiyu Zhou 001; Sue Black 002; Bryan M. Williams 001 (Pattern Recognit., 2024)

A large multiclass dataset of CT scans for COVID-19 identification. - Eduardo A. Soares 001; Plamen Angelov 001; Sarah Biaso; Marcelo Cury; Daniel Abe (Evol. Syst., 2024)

Semisupervised Fuzzily Weighted Adaptive Boosting for Classification. - Xiaowei Gu 001; Plamen P. Angelov; Qiang Shen 001 (IEEE Trans. Fuzzy Syst., 2024)

An explainable approach to deep learning from CT-scans for Covid identification. - Eduardo Soares 001; Plamen Angelov 001; Ziyang Zhang (Evol. Syst., 2024)

Quantum Face Recognition With Multigate Quantum Convolutional Neural Network. - Yijie Zhu; Ahmed Bouridane; M. Emre Celebi 001; Debanjan Konar; Plamen Angelov 001; Qiang Ni; Richard Jiang 001 (IEEE Trans. Artif. Intell., 2024)

Adversarial Attack Detection via Fuzzy Predictions. - Yi Li 047; Plamen Angelov 001; Neeraj Suri (IEEE Trans. Fuzzy Syst., 2024)

Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement. - Yi Li 047; Yang Sun; Plamen P. Angelov (AAAI, 2025)

Prototype-Based Continual Learning with Label-free Replay Buffer and Cluster Preservation Loss. - Agil Aghasanli; Yi Li 047; Plamen Angelov 001 (CVPR Workshops, 2025)

Vision-Based Landing Guidance Through Tracking and Orientation Estimation. - João P. K. Ferreira; João P. L. Pinto; Júlia S. Moura; Yi Li 047; Cristiano Leite Castro; Plamen Angelov 001 (WACV, 2025)

IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data. - Ziyang Zhang; Plamen Angelov 001; Dmitry Kangin; Nicolas Longépé (Appl. Soft Comput., 2025)

IDEAL: Interpretable-by-Design ALgorithms for learning from foundation feature spaces. - Plamen Angelov 001; Dmitry Kangin; Ziyang Zhang (Neurocomputing, 2025)

COMIX: Compositional Explanations using Prototypes. - Sarath Sivaprasad; Dmitry Kangin; Plamen Angelov 001; Mario Fritz (CoRR, 2025)

i-WiViG: Interpretable Window Vision GNN. - Ivica Obadic; Dmitry Kangin; Dário A. B. Oliveira; Plamen P. Angelov; Xiao Xiang Zhu 001 (CoRR, 2025)

Demonstrable and anatomy-driven knuckle identification via crease map segmentation. - Ritesh Vyas; Bryan M. Williams 001; Hossein Rahmani 001; Ricki Boswell-Challand; Zheheng Jiang; Plamen Angelov 001; Sue Black 002 (Signal Image Video Process., 2025)