Plamen P. Angelov

发表

Plamen P. Angelov, Xiaowei Gu, P. Angelov, 2018, Inf. Sci..

Density-based averaging - A new operator for data fusion

Plamen P. Angelov, Ronald R. Yager, 2013, Inf. Sci..

Symbol recognition with a new autonomously evolving classifier autoclass

Plamen P. Angelov, Xiaowei Zhou, Denis Kolev, 2014, 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Forecasting time-series for NN GC1 using Evolving Takagi-Sugeno (eTS) Fuzzy Systems with on-line inputs selection

Plamen P. Angelov, Javier Andreu, P. Angelov, 2010, International Conference on Fuzzy Systems.

A Nested Hierarchy of Dynamically Evolving Clouds for Big Data Structuring and Searching

Plamen P. Angelov, Pouria Sadeghi-Tehran, 2015, INNS Conference on Big Data.

Automatic mobile photographer and picture diary

Plamen P. Angelov, Javier Andreu, Tu Vuong, 2012, 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems.

Parsimonious random vector functional link network for data streams

Plamen P. Angelov, Mahardhika Pratama, Meng Joo Er, 2017, Inf. Sci..

Autonomous Learning Multimodel Systems From Data Streams

Plamen P. Angelov, Xiaowei Gu, José C. Príncipe, 2018, IEEE Transactions on Fuzzy Systems.

Analysis of evolving social network: methods and results from cell phone dataset case study

Plamen P. Angelov, Rashmi Dutta Baruah, P. Angelov, 2013, Int. J. Soc. Netw. Min..

ARFA: Automated real-time flight data analysis using evolving clustering, classifiers and recursive density estimation

Plamen P. Angelov, Denis Kolev, Garegin Markarian, 2013, 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Incremental anomaly identification by adapted SVM method

Plamen P. Angelov, Denis Kolev, Garegin Markarian, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

A new evolving clustering algorithm for online data streams

Plamen P. Angelov, Luiz Affonso Guedes, Clauber Gomes Bezerra, 2016, 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

DEC: Dynamically Evolving Clustering and Its Application to Structure Identification of Evolving Fuzzy Models

Plamen P. Angelov, Rashmi Dutta Baruah, P. Angelov, 2014, IEEE Transactions on Cybernetics.

Semi-supervised deep rule-based approach for image classification

Plamen P. Angelov, Xiaowei Gu, P. Angelov, 2018, Appl. Soft Comput..

Self-evolving parameter-free Rule-based Controller

Héctor Pomares, Ignacio Rojas, Plamen P. Angelov, 2012, 2012 IEEE International Conference on Fuzzy Systems.

A new type of distance metric and its use for clustering

Plamen P. Angelov, Xiaowei Gu, José Carlos Príncipe, 2017, Evol. Syst..

PANFIS: A Novel Incremental Learning Machine

Plamen P. Angelov, Mahardhika Pratama, Sreenatha G. Anavatti, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Deep rule-based classifier with human-level performance and characteristics

Plamen P. Angelov, Xiaowei Gu, P. Angelov, 2018, Inf. Sci..

A Semi-supervised Deep Rule-Based Approach for Remote Sensing Scene Classification

Plamen P. Angelov, Xiaowei Gu, 2019, INNSBDDL.

ARTOT: Autonomous real-time object detection and tracking by a moving camera

Plamen P. Angelov, Tsvetan Ivanov, Pouria Sadeghi-Tehran, 2012, 2012 6th IEEE International Conference Intelligent Systems.

Online fault detection based on Typicality and Eccentricity Data Analytics

Plamen P. Angelov, Luiz Affonso Guedes, Clauber Gomes Bezerra, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Preface

Plamen P. Angelov, Edwin Lughofer, Moamar Sayed Mouchaweh, 2015, EAIS.

On-line identification of MIMO evolving Takagi- Sugeno fuzzy models

Plamen P. Angelov, Dimitar Filev, Costas S. Xydeas, 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

Fully unsupervised fault detection and identification based on recursive density estimation and self-evolving cloud-based classifier

Plamen P. Angelov, Luiz Affonso Guedes, Bruno Sielly Jales Costa, 2015, Neurocomputing.

Data-driven evolving fuzzy systems using eTS and FLEXFIS: comparative analysis

Plamen P. Angelov, Edwin Lughofer, P. Angelov, 2008, Int. J. Gen. Syst..

On line learning fuzzy rule-based system structure from data streams

Plamen P. Angelov, Xiaowei Zhou, P. Angelov, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

Toward Anthropomorphic Machine Learning

Plamen P. Angelov, Xiaowei Gu, P. Angelov, 2018, Computer.

Identification of evolving fuzzy rule-based models

Plamen P. Angelov, Richard A. Buswell, P. Angelov, 2002, IEEE Trans. Fuzzy Syst..

Evolving fuzzy inferential sensors for process industry

Plamen P. Angelov, Xiaowei Zhou, Arthur K. Kordon, 2008, 2008 3rd International Workshop on Genetic and Evolving Systems.

Handling drifts and shifts in on-line data streams with evolving fuzzy systems

Plamen P. Angelov, Edwin Lughofer, P. Angelov, 2011, Appl. Soft Comput..

Flexible models with evolving structure

Plamen P. Angelov, Dimitar Filev, 2004, Int. J. Intell. Syst..

A Generalized Methodology for Data Analysis

Plamen P. Angelov, Xiaowei Gu, José Carlos Príncipe, 2018, IEEE Transactions on Cybernetics.

Robust classification of low-grade cervical cytology following analysis with ATR-FTIR spectroscopy and subsequent application of self-learning classifier eClass

Plamen P. Angelov, Jemma G. Kelly, Pierre L. Martin-Hirsch, 2010, Analytical and bioanalytical chemistry.

Guest Editorial Evolving Fuzzy Systems–-Preface to the Special Section

Plamen P. Angelov, Dimitar Filev, Nikola K. Kasabov, 2008, IEEE Transactions on Fuzzy Systems.

Autonomous data-driven clustering for live data stream

Plamen P. Angelov, Xiaowei Gu, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Recursive SVM Based on TEDA

Plamen P. Angelov, Dmitry Kangin, P. Angelov, 2015, SLDS.

OSA: One-Class Recursive SVM Algorithm with Negative Samples for Fault Detection

Plamen P. Angelov, Denis Kolev, Garegin Markarian, 2013, ICANN.

Online self-evolving fuzzy controller for autonomous mobile robots

Plamen P. Angelov, Pouria Sadeghi-Tehran, 2011, 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS).

Empirical data analysis: A new tool for data analytics

Plamen P. Angelov, Xiaowei Gu, José Carlos Príncipe, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Autonomous novelty detection and object tracking in video streams using evolving clustering and Takagi-Sugeno type neuro-fuzzy system

Plamen P. Angelov, Ramin Ramezani, Xiaowei Zhou, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Optimization in an intuitionistic fuzzy environment

Plamen P. Angelov, P. Angelov, 1997, Fuzzy Sets Syst..

An evolutionary approach to fuzzy rule-based model synthesis using indices for rules

Plamen P. Angelov, 2003, Fuzzy Sets Syst..

Evolving fuzzy systems

Plamen P. Angelov, P. Angelov, 2008, Scholarpedia.

Fuzzy systems design: direct and indirect approaches

Plamen P. Angelov, Costas S. Xydeas, P. Angelov, 2006, Soft Comput..

Fast feedforward non-parametric deep learning network with automatic feature extraction

Plamen P. Angelov, Xiaowei Gu, José Carlos Príncipe, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Dynamically evolving fuzzy classifier for real-time classification of data streams

Plamen P. Angelov, Rashmi Dutta Baruah, Diganta Baruah, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A method for autonomous data partitioning

Plamen P. Angelov, Xiaowei Gu, José C. Prı́ncipe, 2018, Inf. Sci..

Simpl_eTS: a simplified method for learning evolving Takagi-Sugeno fuzzy models

Plamen P. Angelov, Dimitar Filev, Dimitar Filev, 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..

Detecting and Reacting on Drifts and Shifts in On-Line Data Streams with Evolving Fuzzy Systems

Plamen P. Angelov, Edwin Lughofer, P. Angelov, 2009, IFSA/EUSFLAT Conf..

Soft sensor for predicting crude oil distillation side streams using evolving takagi-sugeno fuzzy models

Plamen P. Angelov, Xiaowei Zhou, José J. Macias-Hernandez, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

Fuzzily Connected Multimodel Systems Evolving Autonomously From Data Streams

Plamen P. Angelov, P. Angelov, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Vehicle Plate Recognition Using Improved Neocognitron Neural Network

Plamen P. Angelov, Dmitry Kangin, George Kolev, 2013, ICANN.

Autonomous anomaly detection

Plamen P. Angelov, Xiaowei Gu, P. Angelov, 2017, 2017 Evolving and Adaptive Intelligent Systems (EAIS).

An evolving approach to unsupervised and Real-Time fault detection in industrial processes

Plamen P. Angelov, Luiz Affonso Guedes, Clauber Gomes Bezerra, 2016, Expert Syst. Appl..

Towards an autonomous resilience strategy the implementation of a self evolving rate limiter

Plamen P. Angelov, David Hutchison, Paul Smith, 2013, 2013 13th UK Workshop on Computational Intelligence (UKCI).

A simple fuzzy rule-based system through vector membership and kernel-based granulation

Plamen P. Angelov, Ronald R. Yager, R. Yager, 2010, 2010 5th IEEE International Conference Intelligent Systems.

Evolving human activity classifier from sensor streams

Plamen P. Angelov, Araceli Sanchis, Agapito Ledezma, 2011, 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS).

Adaptive resilience for computer networks: Using online fuzzy learning

Plamen P. Angelov, David Hutchison, Paul Smith, 2012, 2012 IV International Congress on Ultra Modern Telecommunications and Control Systems.

Robust evolving cloud-based PID control adjusted by gradient learning method

Igor Skrjanc, Plamen P. Angelov, Saso Blazic, 2014, 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

An evolving approach to data streams clustering based on typicality and eccentricity data analytics

Plamen P. Angelov, Luiz Affonso Guedes, Clauber Gomes Bezerra, 2020, Inf. Sci..

A new unsupervised approach to fault detection and identification

Plamen P. Angelov, Luiz Affonso Guedes, Bruno Sielly Jales Costa, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

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 P. Angelov, Ramin Ramezani, Pouria Sadeghi-Tehran, 2011, Int. J. Intell. Syst..

Evolving Classifier TEDAClass for Big Data

Plamen P. Angelov, Araceli Sanchis, Dmitry Kangin, 2015, INNS Conference on Big Data.

Self-Organising and Self-Learning Model for Soybean Yield Prediction

Plamen P. Angelov, Mona Alghamdi, Raul Gimenez, 2019, 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS).

Autonomous visual self-localization in completely unknown environment

Plamen P. Angelov, Xiaowei Zhou, P. Angelov, 2007, 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems.

On-line Design of Takagi-Sugeno Models

Plamen P. Angelov, Dimitar Filev, 2003, IFSA.

A Passive Approach to Autonomous Collision Detection and Avoidance

Plamen P. Angelov, Costas S. Xydeas, Michael Everett, 2008, Tenth International Conference on Computer Modeling and Simulation (uksim 2008).

Autonomous learning multi-model classifier of 0-Order (ALMMo-0)

Plamen P. Angelov, Xiaowei Gu, P. Angelov, 2017, 2017 Evolving and Adaptive Intelligent Systems (EAIS).

Online learning and prediction of data streams using dynamically evolving fuzzy approach

Plamen P. Angelov, Rashmi Dutta Baruah, P. Angelov, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

User modeling: Through statistical analysis and an evolving classifier

Plamen P. Angelov, Araceli Sanchis, Agapito Ledezma, 2010, International Conference on Fuzzy Systems.

Robust evolving cloud-based controller for a hydraulic plant

Igor Skrjanc, Plamen P. Angelov, Saso Blazic, 2013, 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network

Plamen P. Angelov, José de Jesús Rubio, Jaime Pacheco, 2011, IEEE Transactions on Neural Networks.

Human Activity Recognition Based on Evolving Fuzzy Systems

Plamen P. Angelov, Araceli Sanchis, Agapito Ledezma, 2010, Int. J. Neural Syst..

Autonomous Learning Machines - Generating Rules from Data Streams

Plamen P. Angelov, 2011, IJCCI.

Automatic generation of fuzzy rule-based models from data by genetic algorithms

Plamen P. Angelov, Richard A. Buswell, 2003, Inf. Sci..

Human Activity Recognition in Intelligent Home Environments: An Evolving Approach

Plamen P. Angelov, Araceli Sanchis, Agapito Ledezma, 2010, ECAI.

Unsupervised classification of data streams based on Typicality and Eccentricity Data Analytics

Plamen P. Angelov, Luiz Affonso Guedes, Clauber Gomes Bezerra, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Architectures for evolving fuzzy rule-based classifiers

Plamen P. Angelov, Edwin Lughofer, Dimitar Filev, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

Robust Evolving Cloud-based Controller (RECCo)

Igor Skrjanc, Plamen P. Angelov, Saso Blazic, 2017, 2017 Evolving and Adaptive Intelligent Systems (EAIS).

A fuzzy controller with evolving structure

Plamen P. Angelov, P. Angelov, 2004, Inf. Sci..

Transparency and simplification of rule-based models for on-line adaptation

Plamen P. Angelov, Jonathan A. Wright, Richard A. Buswell, 2001, EUSFLAT Conf..

Gender and Age Classification of Human Faces for Automatic Detection of Anomalous Human Behaviour

Xiaofeng Wang, Plamen P. Angelov, Azliza Mohd Ali, 2017, 2017 3rd IEEE International Conference on Cybernetics (CYBCON).

A randomized neural network for data streams

Chee Peng Lim, Plamen P. Angelov, Mahardhika Pratama, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Creating Evolving User Behavior Profiles Automatically

Plamen P. Angelov, Araceli Sanchis, Agapito Ledezma, 2012, IEEE Transactions on Knowledge and Data Engineering.

Empirical Fuzzy Sets

Plamen P. Angelov, Xiaowei Gu, P. Angelov, 2018, Int. J. Intell. Syst..

Autonomous Data Density based clustering method

Plamen P. Angelov, Xiaowei Gu, Araceli Sanchis, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Automatic Design Synthesis and Optimization of Component-Based Systems by Evolutionary Algorithms

Plamen P. Angelov, Y. Zhang, Jonathan A. Wright, 2003, GECCO.

Adaptive Inferential Sensors Based on Evolving Fuzzy Models

Plamen P. Angelov, Arthur K. Kordon, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

ATDT: Autonomous Template-Based Detection and Tracking of Objects from Airborne Camera

Plamen P. Angelov, Pouria Sadeghi-Tehran, P. Angelov, 2014, IEEE Conf. on Intelligent Systems.

Parallel Computing TEDA for High Frequency Streaming Data Clustering

Plamen P. Angelov, Xiaowei Gu, Araceli Sanchis, 2016, INNS Conference on Big Data.

Decision Support Systems: Improving Levels of Care and Lowering Costs in Anticoagulation Therapy

Plamen P. Angelov, Costas S. Xydeas, Simon McDonald, 2008, eHealth.

An approach for fuzzy rule-base adaptation using on-line clustering

Plamen P. Angelov, P. Angelov, 2004, Int. J. Approx. Reason..

Evolving Extended Naive Bayes Classifiers

Frank Klawonn, Plamen P. Angelov, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

A Massively Parallel Deep Rule-Based Ensemble Classifier for Remote Sensing Scenes

Plamen P. Angelov, Xiaowei Gu, Peter M. Atkinson, 2018, IEEE Geoscience and Remote Sensing Letters.

Design and performance of a rule-based controller in a naturally ventilated room

Plamen P. Angelov, Mahroo Eftekhari, Ljiljana Marjanovic, 2003, Comput. Ind..

A Retrospective Comparative Study of Three Data Modelling Techniques in Anticoagulation Therapy

Plamen P. Angelov, Costas S. Xydeas, Simon McDonald, 2008, 2008 International Conference on BioMedical Engineering and Informatics.

Advances in classification of EEG signals via evolving fuzzy classifiers and dependant multiple HMMs

Plamen P. Angelov, Costas S. Xydeas, Shih-Yang Chiao, 2006, Comput. Biol. Medicine.

Evolving social network analysis: A case study on mobile phone data

Plamen P. Angelov, Rashmi Dutta Baruah, 2012, 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems.

Real-time human activity recognition from wireless sensors using evolving fuzzy systems

Plamen P. Angelov, Javier Andreu, 2010, International Conference on Fuzzy Systems.

Correntropy-Based Evolving Fuzzy Neural System

Plamen P. Angelov, Badong Chen, Hai-Jun Rong, 2018, IEEE Transactions on Fuzzy Systems.

Simplified fuzzy rule-based systems using non-parametric antecedents and relative data density

Plamen P. Angelov, Ronald R. Yager, R. Yager, 2011, 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS).

A comparative study of autonomous learning outlier detection methods applied to fault detection

Plamen P. Angelov, Luiz Affonso Guedes, Clauber Gomes Bezerra, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Evolving fuzzy systems

Plamen P. Angelov, 2008, Scholarpedia.

Evolving local means method for clustering of streaming data

Plamen P. Angelov, Rashmi Dutta Baruah, P. Angelov, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Evolving Single- And Multi-Model Fuzzy Classifiers with FLEXFIS-Class

Plamen P. Angelov, Edwin Lughofer, Xiaowei Zhou, 2007, 2007 IEEE International Fuzzy Systems Conference.

Editorial

Plamen P. Angelov, Dimitar Filev, Nikola K. Kasabov, 2010, Evolutionary Systematics.

IRootLab: a free and open-source MATLAB toolbox for vibrational biospectroscopy data analysis

Plamen P. Angelov, Paul L. Carmichael, Francis L. Martin, 2013, Bioinform..

Foreign currency exchange rate prediction using neuro-fuzzy systems

Plamen P. Angelov, Xiaowei Gu, David Chek Ling Ngo, 2018, INNS Conference on Big Data.

Evolving Fuzzy Classifier for Novelty Detection and Landmark Recognition by Mobile Robots

Plamen P. Angelov, Xiaowei Zhou, P. Angelov, 2007, Mobile Robots.

Local modes-based free-shape data partitioning

Plamen P. Angelov, Xiaowei Gu, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

A real-time approach for novelty detection and trajectories analysis for anomaly recognition in video surveillance systems

Plamen P. Angelov, Pouria Sadeghi-Tehran, 2012, 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems.

Evolving Fuzzy-Rule-Based Classifiers From Data Streams

Plamen P. Angelov, Xiaowei Zhou, P. Angelov, 2008, IEEE Transactions on Fuzzy Systems.

Autonomous visual self-localization in completely unknown environment

Plamen P. Angelov, Javier Andreu, Pouria Sadeghi-Tehran, 2012, EAIS.

Real time recognition of human activities from wearable sensors by evolving classifiers

Plamen P. Angelov, Javier Andreu, Rashmi Dutta Baruah, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

A new type of simplified fuzzy rule-based system

Plamen P. Angelov, Ronald R. Yager, R. Yager, 2012, Int. J. Gen. Syst..

Interpretable policies for reinforcement learning by empirical fuzzy sets

Plamen P. Angelov, Chengliang Yin, Jianfeng Huang, 2020, Eng. Appl. Artif. Intell..

Robust Evolving Cloud-based Controller in normalized data space for heat-exchanger plant

Igor Skrjanc, Plamen P. Angelov, Saso Blazic, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Towards generic human activity recognition for ubiquitous applications

Plamen P. Angelov, Javier Andreu, 2013, J. Ambient Intell. Humaniz. Comput..

An evolving machine learning method for human activity recognition systems

Plamen P. Angelov, Javier Andreu, P. Angelov, 2013, J. Ambient Intell. Humaniz. Comput..

A Fast Recursive Approach to Autonomous Detection, Identification and Tracking of Multiple Objects in Video Streams under Uncertainties

Plamen P. Angelov, Ramin Ramezani, Pouria Sadeghi-Tehran, 2010, IPMU.

Simpl_eClass: Simplified potential-free evolving fuzzy rule-based classifiers

Plamen P. Angelov, Javier Andreu, Rashmi Dutta Baruah, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

Automatic scene recognition for low-resource devices using evolving classifiers

Plamen P. Angelov, Javier Andreu, Rashmi Dutta Baruah, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Dynamically evolving clustering for data streams

Plamen P. Angelov, Rashmi Dutta Baruah, Diganta Baruah, 2014, 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

A Robust Evolving Cloud-Based Controller

Igor Skrjanc, Plamen P. Angelov, Saso Blazic, 2015, Handbook of Computational Intelligence.

Evolving takagi sugeno modelling with memory for slow processes

Plamen P. Angelov, Simon McDonald, 2010, Int. J. Knowl. Based Intell. Eng. Syst..

Evolving fuzzy systems for data streams: a survey

Plamen P. Angelov, Rashmi Dutta Baruah, P. Angelov, 2011, WIREs Data Mining Knowl. Discov..

Evolving classification of agents’ behaviors: a general approach

Plamen P. Angelov, Araceli Sanchis, Agapito Ledezma, 2010, Evol. Syst..

Stability of Evolving Fuzzy Systems Based on Data Clouds

Plamen P. Angelov, Xiaowei Gu, Hai-Jun Rong, 2018, IEEE Transactions on Fuzzy Systems.

RDE with Forgetting: An Approximate Solution for Large Values of k with an Application to Fault Detection Problems

Plamen P. Angelov, Luiz Affonso Guedes, Clauber Gomes Bezerra, 2015, SLDS.

Online evolving fuzzy rule-based prediction model for high frequency trading financial data stream

Plamen P. Angelov, Xiaowei Gu, Georgi Gaydadjiev, 2016, 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Robust End-to-End Hand Identification via Holistic Multi-Unit Knuckle Recognition

Plamen P. Angelov, Bryan M. Williams, Ritesh Vyas, 2021, 2021 IEEE International Joint Conference on Biometrics (IJCB).

A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification

Plamen P. Angelov, Peter M. Atkinson, Xiaowei Gu, 2021, Inf. Fusion.

Self-organizing fuzzy inference ensemble system for big streaming data classification

Plamen P. Angelov, Xiaowei Gu, Zhijin Zhao, 2021, Knowl. Based Syst..

Stochastic Computing co-processing elements for Evolving Autonomous Data Partitioning

Plamen P. Angelov, Vincent Canals, Eugeni Isern, 2021, 2021 XXXVI Conference on Design of Circuits and Integrated Systems (DCIS).

Explainable artificial intelligence: an analytical review

Plamen P. Angelov, Eduardo A. Soares, Richard M. Jiang, 2021, WIREs Data Mining Knowl. Discov..