Plamen Angelov

Orcid: 0000-0002-5770-934X

Affiliations:
  • Lancaster University, School of Computing and Communications, Lancaster, UK


According to our database1, Plamen Angelov authored at least 242 papers between 1994 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2016, "For contributions to neuro-fuzzy and autonomous learning systems".

Timeline

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Bibliography

2024
An explainable approach to deep learning from CT-scans for Covid identification.
Evol. Syst., December, 2024

Semisupervised Fuzzily Weighted Adaptive Boosting for Classification.
IEEE Trans. Fuzzy Syst., April, 2024

A large multiclass dataset of CT scans for COVID-19 identification.
Evol. Syst., April, 2024

Deep orientated distance-transform network for geometric-aware centerline detection.
Pattern Recognit., February, 2024

Marine Debris Detection in Satellite Surveillance Using Attention Mechanisms.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Self-Supervised Representation Learning for Adversarial Attack Detection.
CoRR, 2024

IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data.
CoRR, 2024

Unsupervised Domain Adaptation within Deep Foundation Latent Spaces.
CoRR, 2024

Machine Learning within Latent Spaces formed by Foundation Models.
Proceedings of the 12th IEEE International Conference on Intelligent Systems, 2024

UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification.
Proceedings of the International Joint Conference on Neural Networks, 2024

Rethinking Self-supervised Learning for Cross-domain Adversarial Sample Recovery.
Proceedings of the International Joint Conference on Neural Networks, 2024

Federated Adversarial Learning for Robust Autonomous Landing Runway Detection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Edge Implementation of Unsupervised Self-evolving Vision Classifier.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Multilayer Evolving Fuzzy Neural Networks.
IEEE Trans. Fuzzy Syst., December, 2023

Obituary Edwin Lughofer (1972-2023).
Evol. Syst., October, 2023

An Improved Explainable Point Cloud Classifier (XPCC).
IEEE Trans. Artif. Intell., February, 2023

Delve Into Neural Activations: Toward Understanding Dying Neurons.
IEEE Trans. Artif. Intell., 2023

Towards interpretable-by-design deep learning algorithms.
CoRR, 2023

Autonomous learning for fuzzy systems: a review.
Artif. Intell. Rev., 2023

Fuzzy Detectors Against Adversarial Attacks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Domain Generalization and Feature Fusion for Cross-domain Imperceptible Adversarial Attack Detection.
Proceedings of the International Joint Conference on Neural Networks, 2023

Interpretable-through-prototypes deepfake detection for diffusion models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Statistically Evolving Fuzzy Inference System for Non-Gaussian Noises.
IEEE Trans. Fuzzy Syst., 2022

Self-Organizing Fuzzy Belief Inference System for Classification.
IEEE Trans. Fuzzy Syst., 2022

Multiclass Fuzzily Weighted Adaptive-Boosting-Based Self-Organizing Fuzzy Inference Ensemble Systems for Classification.
IEEE Trans. Fuzzy Syst., 2022

Ensemble-Based Bounding Box Regression for Enhanced Knuckle Localization.
Sensors, 2022

A Semi-Supervised Deep Rule-Based Approach for Complex Satellite Sensor Image Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Editorial: Special issue on recent progress in autonomous machine learning.
Inf. Sci., 2022

A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification.
Inf. Fusion, 2022

Person identification from fingernails and knuckles images using deep learning features and the Bray-Curtis similarity measure.
Neurocomputing, 2022

A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine.
Cogn. Comput., 2022

On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork.
Auton. Agents Multi Agent Syst., 2022

Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

PPFM: An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

An Interpretable Deep Semantic Segmentation Method for Earth Observation.
Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022

Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning.
Proceedings of the Eleventh International Conference on Image Processing Theory, 2022

Multi-Branch with Attention Network for Hand-Based Person Recognition.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Graph-context Attention Networks for Size-varied Deep Graph Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Explainable artificial intelligence: an analytical review.
WIREs Data Mining Knowl. Discov., 2021

Self-Evolving Data Cloud-Based PID-Like Controller for Nonlinear Uncertain Systems.
IEEE Trans. Ind. Electron., 2021

Explaining Deep Learning Models Through Rule-Based Approximation and Visualization.
IEEE Trans. Fuzzy Syst., 2021

Particle Swarm Optimized Autonomous Learning Fuzzy System.
IEEE Trans. Cybern., 2021

Detecting and learning from unknown by extremely weak supervision: exploratory classifier (xClass).
Neural Comput. Appl., 2021

Self-organizing fuzzy inference ensemble system for big streaming data classification.
Knowl. Based Syst., 2021

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., 2021

Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning.
CoRR, 2021

Automated Person Identification Framework Based on Fingernails and Dorsal Knuckle Patterns.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Keynote: Explainable-by-design Deep Learning.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Robust End-to-End Hand Identification via Holistic Multi-Unit Knuckle Recognition.
Proceedings of the International IEEE Joint Conference on Biometrics, 2021

Stochastic Computing co-processing elements for Evolving Autonomous Data Partitioning.
Proceedings of the XXXVI Conference on Design of Circuits and Integrated Systems, 2021

2020
Towards explainable deep neural networks (xDNN).
Neural Networks, 2020

Human action recognition using deep rule-based classifier.
Multim. Tools Appl., 2020

An evolving approach to data streams clustering based on typicality and eccentricity data analytics.
Inf. Sci., 2020

A self-adaptive synthetic over-sampling technique for imbalanced classification.
Int. J. Intell. Syst., 2020

Interpretable policies for reinforcement learning by empirical fuzzy sets.
Eng. Appl. Artif. Intell., 2020

Autonomous Learning Multiple-Model zero-order classifier for heart sound classification.
Appl. Soft Comput., 2020

Highly interpretable hierarchical deep rule-based classifier.
Appl. Soft Comput., 2020

Deep Learning-Based Automated Forest Health Diagnosis From Aerial Images.
IEEE Access, 2020

Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Concept Drift Detection Using Autoencoders in Data Streams Processing.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

On-line Estimators for Ad-hoc Task Allocation.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Empirical Approach to Machine Learning
Studies in Computational Intelligence 800, Springer, ISBN: 978-3-030-02384-3, 2019

Scalable Database Indexing and Fast Image Retrieval Based on Deep Learning and Hierarchically Nested Structure Applied to Remote Sensing and Plant Biology.
J. Imaging, 2019

Local optimality of self-organising neuro-fuzzy inference systems.
Inf. Sci., 2019

Novelty Detection and Learning from Extremely Weak Supervision.
CoRR, 2019

Fair-by-design explainable models for prediction of recidivism.
CoRR, 2019

A distance-type-insensitive clustering approach.
Appl. Soft Comput., 2019

Self-boosting first-order autonomous learning neuro-fuzzy systems.
Appl. Soft Comput., 2019

Self-Organising and Self-Learning Model for Soybean Yield Prediction.
Proceedings of the Sixth International Conference on Social Networks Analysis, 2019

A Semi-supervised Deep Rule-Based Approach for Remote Sensing Scene Classification.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios.
Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Rule-Based Aerial Scene Classifier using High-Level Ensemble Feature Descriptor.
Proceedings of the International Joint Conference on Neural Networks, 2019

Explainable Density-Based Approach for Self-Driving Actions Classification.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
Stability of Evolving Fuzzy Systems Based on Data Clouds.
IEEE Trans. Fuzzy Syst., 2018

Correntropy-Based Evolving Fuzzy Neural System.
IEEE Trans. Fuzzy Syst., 2018

Autonomous Learning Multimodel Systems From Data Streams.
IEEE Trans. Fuzzy Syst., 2018

A Generalized Methodology for Data Analysis.
IEEE Trans. Cybern., 2018

The 16th Annual UK Workshop on Computational Intelligence.
Soft Comput., 2018

Anomalous behaviour detection based on heterogeneous data and data fusion.
Soft Comput., 2018

A Massively Parallel Deep Rule-Based Ensemble Classifier for Remote Sensing Scenes.
IEEE Geosci. Remote. Sens. Lett., 2018

A novel algorithm for the modeling of complex processes.
Kybernetika, 2018

Parsimonious random vector functional link network for data streams.
Inf. Sci., 2018

A method for autonomous data partitioning.
Inf. Sci., 2018

Self-Organised direction aware data partitioning algorithm.
Inf. Sci., 2018

Self-organising fuzzy logic classifier.
Inf. Sci., 2018

Deep rule-based classifier with human-level performance and characteristics.
Inf. Sci., 2018

Empirical Fuzzy Sets.
Int. J. Intell. Syst., 2018

Toward Anthropomorphic Machine Learning.
Computer, 2018

Semi-supervised deep rule-based approach for image classification.
Appl. Soft Comput., 2018

How Best to Design Fuzzy Sets and Systems - In Memory of Prof. Lotfi A. Zadeh.
Proceedings of the Fuzzy Logic and Applications - 12th International Workshop, 2018

Towards Evolving Cooperative Mapping for Large-Scale UAV Teams.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

A Deep Rule-Based Approach for Satellite Scene Image Analysis.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Foreign currency exchange rate prediction using neuro-fuzzy systems.
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

Empirical Approach to Learning from Data (Streams).
Proceedings of the 20th International Conference on Enterprise Information Systems, 2018

Towards Large Scale Ad-hoc Teamwork.
Proceedings of the IEEE International Conference on Agents, 2018

2017
AURORA: autonomous real-time on-board video analytics.
Neural Comput. Appl., 2017

Fully online clustering of evolving data streams into arbitrarily shaped clusters.
Inf. Sci., 2017

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., 2017

Empirical Data Analytics.
Int. J. Intell. Syst., 2017

A new type of distance metric and its use for clustering.
Evol. Syst., 2017

Editorial Soft Computing Applied to Swarm Robotics.
Appl. Soft Comput., 2017

A cascade of deep learning fuzzy rule-based image classifier and SVM.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Human action recognition using transfer learning with deep representations.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A randomized neural network for data streams.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Fast feedforward non-parametric deep learning network with automatic feature extraction.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Autonomous anomaly detection.
Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

Autonomous learning multi-model classifier of 0-Order (ALMMo-0).
Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

Robust Evolving Cloud-based Controller (RECCo).
Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

Gender and Age Classification of Human Faces for Automatic Detection of Anomalous Human Behaviour.
Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017

MICE: Multi-Layer Multi-Model Images Classifier Ensemble.
Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017

2016
Autonomously evolving classifier TEDAClass.
Inf. Sci., 2016

An evolving approach to unsupervised and Real-Time fault detection in industrial processes.
Expert Syst. Appl., 2016

A practical implementation of Robust Evolving Cloud-based Controller with normalized data space for heat-exchanger plant.
Appl. Soft Comput., 2016

Vision Based Human Activity Recognition: A Review.
Proceedings of the Advances in Computational Intelligence Systems, 2016

Detecting Anomalous Behaviour Using Heterogeneous Data.
Proceedings of the Advances in Computational Intelligence Systems, 2016

Local modes-based free-shape data partitioning.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Autonomous data-driven clustering for live data stream.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Empirical data analysis: A new tool for data analytics.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Parallel Computing TEDA for High Frequency Streaming Data Clustering.
Proceedings of the Advances in Big Data, 2016

A general purpose intelligent surveillance system for mobile devices using Deep Learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Autonomous Data Density based clustering method.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Unsupervised classification of data streams based on Typicality and Eccentricity Data Analytics.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Challenges in Deep Learning.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Online evolving fuzzy rule-based prediction model for high frequency trading financial data stream.
Proceedings of the 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2016

A new evolving clustering algorithm for online data streams.
Proceedings of the 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2016

2015
A Robust Evolving Cloud-Based Controller.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Fully unsupervised fault detection and identification based on recursive density estimation and self-evolving cloud-based classifier.
Neurocomputing, 2015

Synergy of computers, cognition, communication and control with industrial applications.
Comput. Ind., 2015

An overview on fault diagnosis and nature-inspired optimal control of industrial process applications.
Comput. Ind., 2015

Edge Flow.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Recursive SVM Based on TEDA.
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

RDE with Forgetting: An Approximate Solution for Large Values of k with an Application to Fault Detection Problems.
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

Evolving Classifier TEDAClass for Big Data.
Proceedings of the INNS Conference on Big Data 2015, 2015

A Nested Hierarchy of Dynamically Evolving Clouds for Big Data Structuring and Searching.
Proceedings of the INNS Conference on Big Data 2015, 2015

Evolving clustering, classification and regression with TEDA.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Online fault detection based on Typicality and Eccentricity Data Analytics.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Typicality distribution function - A new density-based data analytics tool.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A comparative study of autonomous learning outlier detection methods applied to fault detection.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Robust Evolving Cloud-based Controller in normalized data space for heat-exchanger plant.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Preface.
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

Analysis of adaptation law of the robust evolving cloud-based controller.
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

A new online clustering approach for data in arbitrary shaped clusters.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

2014
PANFIS: A Novel Incremental Learning Machine.
IEEE Trans. Neural Networks Learn. Syst., 2014

DEC: Dynamically Evolving Clustering and Its Application to Structure Identification of Evolving Fuzzy Models.
IEEE Trans. Cybern., 2014

SARIVA: Smartphone APP for Real-time Intelligent Video Analytics.
J. Autom. Mob. Robotics Intell. Syst., 2014

Outside the box: an alternative data analytics framework.
J. Autom. Mob. Robotics Intell. Syst., 2014

Data density based clustering.
Proceedings of the 14th UK Workshop on Computational Intelligence, 2014

Real-time novelty detection in video using background subtraction techniques: State of the art a practical review.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

ATDT: Autonomous Template-Based Detection and Tracking of Objects from Airborne Camera.
Proceedings of the Intelligent Systems'2014, 2014

A new unsupervised approach to fault detection and identification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Dynamically evolving fuzzy classifier for real-time classification of data streams.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

A real-time approach for autonomous detection and tracking of moving objects from UAV.
Proceedings of the IEEE Symposium on Evolving and Autonomous Learning Systems, 2014

A fully autonomous Data Density based Clustering technique.
Proceedings of the IEEE Symposium on Evolving and Autonomous Learning Systems, 2014

RTSDE: Recursive total-sum-distances-based density estimation approach and its application for autonomous real-time video analytics.
Proceedings of the IEEE Symposium on Evolving and Autonomous Learning Systems, 2014

Anomaly detection based on eccentricity analysis.
Proceedings of the IEEE Symposium on Evolving and Autonomous Learning Systems, 2014

Robust evolving cloud-based PID control adjusted by gradient learning method.
Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014

Dynamically evolving clustering for data streams.
Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014

Symbol recognition with a new autonomously evolving classifier autoclass.
Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014

2013
An evolving machine learning method for human activity recognition systems.
J. Ambient Intell. Humaniz. Comput., 2013

Towards generic human activity recognition for ubiquitous applications.
J. Ambient Intell. Humaniz. Comput., 2013

Density-based averaging - A new operator for data fusion.
Inf. Sci., 2013

Analysis of evolving social network: methods and results from cell phone dataset case study.
Int. J. Soc. Netw. Min., 2013

IRootLab: a free and open-source MATLAB toolbox for vibrational biospectroscopy data analysis.
Bioinform., 2013

Towards an autonomous resilience strategy the implementation of a self evolving rate limiter.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

Incremental anomaly identification by adapted SVM method.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

OSA: One-Class Recursive SVM Algorithm with Negative Samples for Fault Detection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Vehicle Plate Recognition Using Improved Neocognitron Neural Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Online learning and prediction of data streams using dynamically evolving fuzzy approach.
Proceedings of the FUZZ-IEEE 2013, 2013

ARFA: Automated real-time flight data analysis using evolving clustering, classifiers and recursive density estimation.
Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

Robust evolving cloud-based controller for a hydraulic plant.
Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

A practical implementation of self-evolving cloud-based control of a pilot plant.
Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

2012
Creating Evolving User Behavior Profiles Automatically.
IEEE Trans. Knowl. Data Eng., 2012

A new type of simplified fuzzy rule-based system.
Int. J. Gen. Syst., 2012

ARTOT: Autonomous real-time object detection and tracking by a moving camera.
Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

Adaptive resilience for computer networks: Using online fuzzy learning.
Proceedings of the 4th International Congress on Ultra Modern Telecommunications and Control Systems, 2012

Self-evolving parameter-free Rule-based Controller.
Proceedings of the FUZZ-IEEE 2012, 2012

Evolving local means method for clustering of streaming data.
Proceedings of the FUZZ-IEEE 2012, 2012

Autonomous visual self-localization in completely unknown environment.
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

A real-time approach for novelty detection and trajectories analysis for anomaly recognition in video surveillance systems.
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

Evolving social network analysis: A case study on mobile phone data.
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

Automatic mobile photographer and picture diary.
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

2011
Evolving fuzzy systems for data streams: a survey.
WIREs Data Mining Knowl. Discov., 2011

Fuzzily Connected Multimodel Systems Evolving Autonomously From Data Streams.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network.
IEEE Trans. Neural Networks, 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.
Int. J. Intell. Syst., 2011

Handling drifts and shifts in on-line data streams with evolving fuzzy systems.
Appl. Soft Comput., 2011

Simpl_eClass: Simplified potential-free evolving fuzzy rule-based classifiers.
Proceedings of the IEEE International Conference on Systems, 2011

Autonomous Learning Machines - Generating Rules from Data Streams.
Proceedings of the NCTA 2011, 2011

Real time recognition of human activities from wearable sensors by evolving classifiers.
Proceedings of the FUZZ-IEEE 2011, 2011

Automatic scene recognition for low-resource devices using evolving classifiers.
Proceedings of the FUZZ-IEEE 2011, 2011

Online self-evolving fuzzy controller for autonomous mobile robots.
Proceedings of the 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, 2011

Evolving human activity classifier from sensor streams.
Proceedings of the 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, 2011

Simplified fuzzy rule-based systems using non-parametric antecedents and relative data density.
Proceedings of the 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, 2011

2010
Adaptive Inferential Sensors Based on Evolving Fuzzy Models.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Evolving takagi sugeno modelling with memory for slow processes.
Int. J. Knowl. Based Intell. Eng. Syst., 2010

Human Activity Recognition Based on Evolving Fuzzy Systems.
Int. J. Neural Syst., 2010

Evolving classification of agents' behaviors: a general approach.
Evol. Syst., 2010

Editorial.
Evol. Syst., 2010

A simple fuzzy rule-based system through vector membership and kernel-based granulation.
Proceedings of the 5th IEEE International Conference on Intelligent Systems, 2010

A Fast Recursive Approach to Autonomous Detection, Identification and Tracking of Multiple Objects in Video Streams under Uncertainties.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2010

User modeling: Through statistical analysis and an evolving classifier.
Proceedings of the FUZZ-IEEE 2010, 2010

Forecasting time-series for NN GC1 using Evolving Takagi-Sugeno (eTS) Fuzzy Systems with on-line inputs selection.
Proceedings of the FUZZ-IEEE 2010, 2010

Real-time human activity recognition from wireless sensors using evolving fuzzy systems.
Proceedings of the FUZZ-IEEE 2010, 2010

Human Activity Recognition in Intelligent Home Environments: An Evolving Approach.
Proceedings of the ECAI 2010, 2010

2009
Evolving Fuzzy Systems.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

Detecting and Reacting on Drifts and Shifts in On-Line Data Streams with Evolving Fuzzy Systems.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008
Evolving Fuzzy-Rule-Based Classifiers From Data Streams.
IEEE Trans. Fuzzy Syst., 2008

Guest Editorial Evolving Fuzzy Systems - Preface to the Special Section.
IEEE Trans. Fuzzy Syst., 2008

Evolving fuzzy systems.
Scholarpedia, 2008

Data-driven evolving fuzzy systems using eTS and FLEXFIS: comparative analysis.
Int. J. Gen. Syst., 2008

Evolving fuzzy classifiers using different model architectures.
Fuzzy Sets Syst., 2008

A Passive Approach to Autonomous Collision Detection and Avoidance.
Proceedings of the 10th EUROS/UKSim International Conference on Computer Modelling and Simulation, 2008

Autonomous novelty detection and object tracking in video streams using evolving clustering and Takagi-Sugeno type neuro-fuzzy system.
Proceedings of the International Joint Conference on Neural Networks, 2008

Evolving fuzzy inferential sensors for process industry.
Proceedings of the 3rd International Workshop on Genetic and Evolving Systems, 2008

On line learning fuzzy rule-based system structure from data streams.
Proceedings of the FUZZ-IEEE 2008, 2008

Decision Support Systems: Improving Levels of Care and Lowering Costs in Anticoagulation Therapy.
Proceedings of the Electronic Healthcare, First International Conference, 2008

A Retrospective Comparative Study of Three Data Modelling Techniques in Anticoagulation Therapy.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008

2007
Evolving Fuzzy Classifier for Novelty Detection and Landmark Recognition by Mobile Robots.
Proceedings of the Mobile Robots: The Evolutionary Approach, 2007

Soft sensor for predicting crude oil distillation side streams using evolving takagi-sugeno fuzzy models.
Proceedings of the IEEE International Conference on Systems, 2007

Architectures for evolving fuzzy rule-based classifiers.
Proceedings of the IEEE International Conference on Systems, 2007

Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class.
Proceedings of the FUZZ-IEEE 2007, 2007

Autonomous Visual Self-localization in Completely Unknown Environment using Evolving Fuzzy Rule-based Classifier.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, 2007

2006
Fuzzy systems design: direct and indirect approaches.
Soft Comput., 2006

Advances in classification of EEG signals via evolving fuzzy classifiers and dependant multiple HMMs.
Comput. Biol. Medicine, 2006

Evolving Extended Naive Bayes Classifiers.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Simpl_eTS: a simplified method for learning evolving Takagi-Sugeno fuzzy models.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

2004
An approach to online identification of Takagi-Sugeno fuzzy models.
IEEE Trans. Syst. Man Cybern. Part B, 2004

A fuzzy controller with evolving structure.
Inf. Sci., 2004

Flexible models with evolving structure.
Int. J. Intell. Syst., 2004

An approach for fuzzy rule-base adaptation using on-line clustering.
Int. J. Approx. Reason., 2004

On-line identification of MIMO evolving Takagi- Sugeno fuzzy models.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
Automatic generation of fuzzy rule-based models from data by genetic algorithms.
Inf. Sci., 2003

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

Design and performance of a rule-based controller in a naturally ventilated room.
Comput. Ind., 2003

On-line Design of Takagi-Sugeno Models.
Proceedings of the Fuzzy Sets and Systems - IFSA 2003, 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, June 30, 2003

Automatic Design Synthesis and Optimization of Component-Based Systems by Evolutionary Algorithms.
Proceedings of the Genetic and Evolutionary Computation, 2003

2002
Identification of evolving fuzzy rule-based models.
IEEE Trans. Fuzzy Syst., 2002

2001
Transparency and simplification of rule-based models for on-line adaptation.
Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, 2001

1997
Optimization in an intuitionistic fuzzy environment.
Fuzzy Sets Syst., 1997

1994
A generalized approach to fuzzy optimization.
Int. J. Intell. Syst., 1994


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