Edwin Lughofer

According to our database1, Edwin Lughofer authored at least 216 papers between 2003 and 2024.

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Bibliography

2024
Data-driven prediction of possible quality deterioration in injection molding processes.
Appl. Soft Comput., January, 2024

2023
Assessor-guided learning for continual environments.
Inf. Sci., September, 2023

EFNC-Exp: An evolving fuzzy neural classifier integrating expert rules and uncertainty.
Fuzzy Sets Syst., August, 2023

Evolving Neuro-Fuzzy Systems-Based Design of Experiments in Process Identification.
IEEE Trans. Fuzzy Syst., June, 2023

Evolving fuzzy neural classifier that integrates uncertainty from human-expert feedback.
Evol. Syst., April, 2023

Evolving Error Feedback Fuzzy Model for Improved Robustness Under Measurement Noise.
IEEE Trans. Fuzzy Syst., March, 2023

New group-based generalized interval-valued q-rung orthopair fuzzy soft aggregation operators and their applications in sports decision-making problems.
Comput. Appl. Math., February, 2023

Evolving multi-user fuzzy classifier system with advanced explainability and interpretability aspects.
Inf. Fusion, 2023

Few-Shot Continual Learning via Flat-to-Wide Approaches.
CoRR, 2023

2022
An Explainable Evolving Fuzzy Neural Network to Predict the k Barriers for Intrusion Detection Using a Wireless Sensor Network.
Sensors, 2022

Editorial.
Libr. Hi Tech, 2022

Evolving multi-label fuzzy classifier with advanced robustness respecting human uncertainty.
Knowl. Based Syst., 2022

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

Evolving multi-label fuzzy classifier.
Inf. Sci., 2022

Evolving multi-user fuzzy classifier systems integrating human uncertainty and expert knowledge.
Inf. Sci., 2022

Online active learning for an evolving fuzzy neural classifier based on data density and specificity.
Neurocomputing, 2022

EFNN-NullUni: An evolving fuzzy neural network based on null-uninorm.
Fuzzy Sets Syst., 2022

An advanced interpretable Fuzzy Neural Network model based on uni-nullneuron constructed from n-uninorms.
Fuzzy Sets Syst., 2022

Online sequential ensembling of predictive fuzzy systems.
Evol. Syst., 2022

Deep learning and intelligent system towards smart manufacturing.
Enterp. Inf. Syst., 2022

Transfer learning of fuzzy classifiers for optimized joint representation of simulated and measured data in anomaly detection of motor phase currents.
Appl. Soft Comput., 2022

An Explainable Evolving Fuzzy Neural Network in Position Identification of Basketball Players.
Proceedings of the First Workshop on Online Learning from Uncertain Data Streams (OLUD 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI 2022), 2022

Evolving fuzzy neural network based on null-unineurons for the identification of coronary artery disease.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

An interpretable uni-nullneuron-based evolving neuro-fuzzy network acting to identify Dry Beans.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

EFNN-Gen - a uni-nullneuron-based evolving fuzzy neural network with generalist rules.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent System, 2022

2021
An intelligent Bayesian hybrid approach to help autism diagnosis.
Soft Comput., 2021

New aggregation operators on group-based generalized intuitionistic fuzzy soft sets.
Soft Comput., 2021

Correction to: Multilayered-quality education ecosystem (MQEE): an intelligent education modal for sustainable quality education.
J. Comput. High. Educ., 2021

Multilayered-quality education ecosystem (MQEE): an intelligent education modal for sustainable quality education.
J. Comput. High. Educ., 2021

Adapting H-infinity controller for the desired reference tracking of the sphere position in the maglev process.
Inf. Sci., 2021

Scalable teacher forcing network for semi-supervised large scale data streams.
Inf. Sci., 2021

Online bagging of evolving fuzzy systems.
Inf. Sci., 2021

Improving the robustness of recursive consequent parameters learning in evolving neuro-fuzzy systems.
Inf. Sci., 2021

An evolving neuro-fuzzy system based on uni-nullneurons with advanced interpretability capabilities.
Neurocomputing, 2021

Cloud & fog computing: intelligent applications.
Enterp. Inf. Syst., 2021

A soft-computing framework for automated optimization of multiple product quality criteria with application to micro-fluidic chip production.
Appl. Soft Comput., 2021

An interpretable evolving fuzzy neural network based on self-organized direction-aware data partitioning and fuzzy logic neurons.
Appl. Soft Comput., 2021

Evolving Fuzzy Model Identification of Nonlinear Wiener-Hammerstein Processes.
IEEE Access, 2021

Unsupervised Continual Learning via Self-adaptive Deep Clustering Approach.
Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021

Autonomous Deep Quality Monitoring in Streaming Environments.
Proceedings of the International Joint Conference on Neural Networks, 2021

Regularized neuro-fuzzy AI model to aid score management in Online distance learning forums.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020
Robust Generalized Fuzzy Systems Training From High-Dimensional Time-Series Data Using Local Structure Preserving PLS.
IEEE Trans. Fuzzy Syst., 2020

Online Tool Condition Monitoring Based on Parsimonious Ensemble+.
IEEE Trans. Cybern., 2020

Deep learning: emerging trends, applications and research challenges.
Soft Comput., 2020

Identification of Heart Sounds with an Interpretable Evolving Fuzzy Neural Network.
Sensors, 2020

Informetrics on social network mining: research, policy and practice challenges.
Libr. Hi Tech, 2020

Evolving fuzzy neural hydrocarbon networks: A model based on organic compounds.
Knowl. Based Syst., 2020

Multi-source transfer learning of time series in cyclical manufacturing.
J. Intell. Manuf., 2020

On-line anomaly detection with advanced independent component analysis of multi-variate residual signals from causal relation networks.
Inf. Sci., 2020

PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles.
Inf. Sci., 2020

Fast learning of neural networks with application to big data processes.
Neurocomputing, 2020

DEVDAN: Deep evolving denoising autoencoder.
Neurocomputing, 2020

Detection of driver maneuvers using evolving fuzzy cloud-based system.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Hybrid Model for Parkinson's Disease Prediction.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Knowledge extraction about patients surviving breast cancer treatment through an autonomous fuzzy neural network.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Scalable Teacher-Forcing Networks under Spark Environments for Large-Scale Streaming Problems.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

Online Sequential Ensembling of Fuzzy Systems.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

Variants of Recursive Consequent Parameters Learning in Evolving Neuro-Fuzzy Systems.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

2019
Metacognitive learning approach for online tool condition monitoring.
J. Intell. Manuf., 2019

Robust unsupervised domain adaptation for neural networks via moment alignment.
Inf. Sci., 2019

Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey.
Inf. Sci., 2019

Inner matrix norms in evolving Cauchy possibilistic clustering for classification and regression from data streams.
Inf. Sci., 2019

Approximation of incoherent probabilities.
Int. J. Approx. Reason., 2019

Virtual Quality control using bidirectional LSTM networks and gradient boosting.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

ATL: Autonomous Knowledge Transfer from Many Streaming Processes.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Model Explanation and Interpretation Concepts for Stimulating Advanced Human-Machine Interaction with "Expert-in-the-Loop".
Proceedings of the Human and Machine Learning, 2018

Evolving Ensemble Fuzzy Classifier.
IEEE Trans. Fuzzy Syst., 2018

Incremental Rule Splitting in Generalized Evolving Fuzzy Systems for Autonomous Drift Compensation.
IEEE Trans. Fuzzy Syst., 2018

Online Active Learning in Data Stream Regression Using Uncertainty Sampling Based on Evolving Generalized Fuzzy Models.
IEEE Trans. Fuzzy Syst., 2018

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

Neural network updating via argument Kalman filter for modeling of Takagi-Sugeno fuzzy models.
J. Intell. Fuzzy Syst., 2018

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

Self-adaptive evolving forecast models with incremental PLS space updating for on-line prediction of micro-fluidic chip quality.
Eng. Appl. Artif. Intell., 2018

Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams.
CoRR, 2018

An Online RFID Localization in the Manufacturing Shopfloor.
CoRR, 2018

The Power of Visual Texture in Aesthetic Perception: An Exploration of the Predictability of Perceived Aesthetic Emotions.
Comput. Intell. Neurosci., 2018

Editorial: Special issue on Advanced Soft Computing for Prognostic Health Management.
Appl. Soft Comput., 2018

Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems.
Appl. Soft Comput., 2018

Data stream mining and soft computing applications.
Appl. Soft Comput., 2018

Self-adaptive forecast models in predictive maintenance systems.
Proceedings of the 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2018

Big Data Analytics based on PANFIS MapReduce.
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

Two enhancements for improving the convergence speed of a robust multi-objective coevolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Evolving time-series based prediction models for quality criteria in a multi-stage production process.
Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018

2017
An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks.
IEEE Trans. Fuzzy Syst., 2017

Human behavior analysis for library and information science.
Libr. Hi Tech, 2017

Explaining classifier decisions linguistically for stimulating and improving operators labeling behavior.
Inf. Sci., 2017

On-line active learning: A new paradigm to improve practical useability of data stream modeling methods.
Inf. Sci., 2017

Modeling and control with neural networks for a magnetic levitation system.
Neurocomputing, 2017

Online real-time learning strategies for data streams for Neurocomputing.
Neurocomputing, 2017

Data driven modelling based on Recurrent Interval-Valued Metacognitive Scaffolding Fuzzy Neural Network.
Neurocomputing, 2017

pClass+: A Novel Evolving Semi-Supervised Classifier.
Int. J. Fuzzy Syst., 2017

Top-Down Sparse Fuzzy Regression Modeling from Data with Improved Coverage.
Int. J. Fuzzy Syst., 2017

Editorial of the special issue: adaptive and intelligent systems (AIS) for learning, control and optimization in dynamic environments.
Evol. Syst., 2017

Toward Model Building for Visual Aesthetic Perception.
Comput. Intell. Neurosci., 2017

Evolving type-2 web news mining.
Appl. Soft Comput., 2017

Improved fault detection employing hybrid memetic fuzzy modeling and adaptive filters.
Appl. Soft Comput., 2017

Multi-objective knowledge-based strategy for process parameter optimization in Micro-fluidic chip production.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

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

Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning.
Proceedings of the 5th International Conference on Learning Representations, 2017

Multi-objective Topology Optimization of Electrical Machine Designs Using Evolutionary Algorithms with Discrete and Real Encodings.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Incremental rule splitting in generalized evolving fuzzy regression models.
Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

Self-Adaptive Time-Series Based Forecast Models for Predicting Quality Criteria in Microfluidics Chip Production.
Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017

2016
On improving performance of surface inspection systems by online active learning and flexible classifier updates.
Mach. Vis. Appl., 2016

Recognizing input space and target concept drifts in data streams with scarcely labeled and unlabelled instances.
Inf. Sci., 2016

Scaffolding type-2 classifier for incremental learning under concept drifts.
Neurocomputing, 2016

An incremental meta-cognitive-based scaffolding fuzzy neural network.
Neurocomputing, 2016

Advanced linguistic explanations of classifier decisions for users' annotation support.
Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

MapView: Graphical Data Representation for Active Learning.
Proceedings of the Workshop on Active Learning: Applications, 2016

Evolving type-2 recurrent fuzzy neural network.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems.
Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016

2015
pClass: An Effective Classifier for Streaming Examples.
IEEE Trans. Fuzzy Syst., 2015

DECMO2: a robust hybrid and adaptive multi-objective evolutionary algorithm.
Soft Comput., 2015

Editorial on the special issue "Hybrid and ensemble techniques in soft computing: recent advances and emerging trends".
Soft Comput., 2015

Detecting cracks in reciprocating compressor valves using pattern recognition in the pV diagram.
Pattern Anal. Appl., 2015

Performance comparison of generational and steady-state asynchronous multi-objective evolutionary algorithms for computationally-intensive problems.
Knowl. Based Syst., 2015

Fuzzy fault isolation using gradient information and quality criteria from system identification models.
Inf. Sci., 2015

Autonomous data stream clustering implementing split-and-merge concepts - Towards a plug-and-play approach.
Inf. Sci., 2015

Information fusion in smart living technology innovations.
Inf. Fusion, 2015

Could linear model bridge the gap between low-level statistical features and aesthetic emotions of visual textures?
Neurocomputing, 2015

Decentralized fault diagnosis approach without a global model for fault diagnosis of discrete event systems.
Int. J. Control, 2015

Aesthetic perception of visual textures: a holistic exploration using texture analysis, psychological experiment, and perception modeling.
Frontiers Comput. Neurosci., 2015

Adaptive and on-line learning in non-stationary environments.
Evol. Syst., 2015

Generalized smart evolving fuzzy systems.
Evol. Syst., 2015

Integrating new classes on the fly in evolving fuzzy classifier designs and their application in visual inspection.
Appl. Soft Comput., 2015

A Surrogate-Based Strategy for Multi-objective Tolerance Analysis in Electrical Machine Design.
Proceedings of the 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2015

Affective Property Computation of Visual Texture.
Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015

Evolving Fuzzy Systems - Fundamentals, Reliability, Interpretability, Useability and Applications.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

Fast and economic integration of new classes on the fly in evolving fuzzy classifiers using class decomposition.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Efficient sample selection in data stream regression employing evolving generalized fuzzy models.
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

Drift detection in data stream classification without fully labelled instances.
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

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

GENEFIS: Toward an Effective Localist Network.
IEEE Trans. Fuzzy Syst., 2014

Residual-based fault detection using soft computing techniques for condition monitoring at rolling mills.
Inf. Sci., 2014

Fault detection in multi-sensor networks based on multivariate time-series models and orthogonal transformations.
Inf. Fusion, 2014

Self-adaptive and local strategies for a smooth treatment of drifts in data streams.
Evol. Syst., 2014

Recent advances on evolving intelligent systems and applications.
Evol. Syst., 2014

Special Issue: Evolving Soft Computing Techniques and Applications.
Appl. Soft Comput., 2014

Reducing false positives for residual-based on-line fault detection by means of filters.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

On the robustness of fault detection in reciprocating compressor valves.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

An Incremental Classifier from Data Streams.
Proceedings of the Artificial Intelligence: Methods and Applications, 2014

Hybrid Genetic-Fuzzy Systems for improved performance in Residual-Based Fault Detection.
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

Dynamic Inclusion of New Event Types in Visual Inspection Using Evolving Classifiers.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Gradient-based fuzzy fault isolation in residual-based fault detection systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

A novel meta-cognitive-based scaffolding classifier to sequential non-stationary classification problems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
Reliable All-Pairs Evolving Fuzzy Classifiers.
IEEE Trans. Fuzzy Syst., 2013

Smart space technology innovations.
Libr. Hi Tech, 2013

Hybrid and Ensemble Methods in Machine Learning.
J. Univers. Comput. Sci., 2013

On-line assurance of interpretability criteria in evolving fuzzy systems - Achievements, new concepts and open issues.
Inf. Sci., 2013

Machine learning based analysis of gender differences in visual inspection decision making.
Inf. Sci., 2013

Editorial of the special issue: Online fuzzy machine learning and data mining.
Inf. Sci., 2013

Data driven modeling based on dynamic parsimonious fuzzy neural network.
Neurocomputing, 2013

Hybridization of multi-objective evolutionary algorithms and artificial neural networks for optimizing the performance of electrical drives.
Eng. Appl. Artif. Intell., 2013

An Effective Ensemble-Based Method for Creating On-the-Fly Surrogate Fitness Functions for Multi-objective Evolutionary Algorithms.
Proceedings of the 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2013

Condition Monitoring at Rolling Mills with Data-Driven Residual-Based Fault Detection.
Proceedings of the 7th IFAC Conference on Manufacturing Modelling, Management, and Control, 2013

Generalized Flexible Fuzzy Inference Systems.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

On the Performance of Master-Slave Parallelization Methods for Multi-Objective Evolutionary Algorithms.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

Evolving fuzzy rule-based classifier based on GENEFIS.
Proceedings of the FUZZ-IEEE 2013, 2013

Ensembled Self-Adaptive Fuzzy Calibration Models for On-line Cloud Point Prediction.
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013

Efficient Multi-Objective Optimization Using 2-Population Cooperative Coevolution.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Resolving global and local drifts in data stream regression using evolving rule-based models.
Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

Online identification of complex multi-input-multi-output system based on generic evolving neuro-fuzzy inference system.
Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

eVQ-AM: An extended dynamic version of evolving vector quantization.
Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

Detecting broken reciprocating compressor valves in the pV diagram.
Proceedings of the 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2013

2012
Hybrid active learning for reducing the annotation effort of operators in classification systems.
Pattern Recognit., 2012

Single-pass active learning with conflict and ignorance.
Evol. Syst., 2012

A dynamic split-and-merge approach for evolving cluster models.
Evol. Syst., 2012

Navigating Interpretability Issues in Evolving Fuzzy Systems.
Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012

A Hybrid Soft Computing Approach for Optimizing Design Parameters of Electrical Drives.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012

Dynamic Quantification of Process Parameters in Viscose Production with Evolving Fuzzy Systems.
Proceedings of the Advances on Computational Intelligence, 2012

On-line active learning based on enhanced reliability concepts.
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

2011
Modeling human aesthetic perception of visual textures.
ACM Trans. Appl. Percept., 2011

On employing fuzzy modeling algorithms for the valuation of residential premises.
Inf. Sci., 2011

On-line incremental feature weighting in evolving fuzzy classifiers.
Fuzzy Sets Syst., 2011

On-line elimination of local redundancies in evolving fuzzy systems.
Evol. Syst., 2011

Identifying static and dynamic prediction models for NOx emissions with evolving fuzzy systems.
Appl. Soft Comput., 2011

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

Investigation of Evolving Fuzzy Systems Methods FLEXFIS and eTS on Predicting Residential Prices.
Proceedings of the Fuzzy Logic and Applications - 9th International Workshop, 2011

Dynamic Evolving Cluster Models Using On-line Split-and-Merge Operations.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

On-Line Valuation of Residential Premises with Evolving Fuzzy Models.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

On-line Redundancy Elimination in Evolving Fuzzy Regression Models using a Fuzzy Inclusion Measure.
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology, 2011

All-Pairs Evolving Fuzzy Classifiers for On-line Multi-Class Classification Problems.
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology, 2011

Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications
Studies in Fuzziness and Soft Computing 266, Springer, ISBN: 978-3-642-18086-6, 2011

2010
SparseFIS: Data-Driven Learning of Fuzzy Systems With Sparsity Constraints.
IEEE Trans. Fuzzy Syst., 2010

Impact of object extraction methods on classification performance in surface inspection systems.
Mach. Vis. Appl., 2010

Assessment of the influence of adaptive components in trainable surface inspection systems.
Mach. Vis. Appl., 2010

On-line evolving image classifiers and their application to surface inspection.
Image Vis. Comput., 2010

Associating visual textures with human perceptions using genetic algorithms.
Inf. Sci., 2010

Towards incremental classifier fusion.
Intell. Data Anal., 2010

Classifier-based analysis of visual inspection: Gender differences in decision-making.
Proceedings of the IEEE International Conference on Systems, 2010

Data-Driven Design of Takagi-Sugeno Fuzzy Systems for Predicting NOx Emissions.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2010

On Dynamic Soft Dimension Reduction in Evolving Fuzzy Classifiers.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

On Dynamic Selection of the Most Informative Samples in Classification Problems.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009
Human-Machine Interaction Issues in Quality Control Based on Online Image Classification.
IEEE Trans. Syst. Man Cybern. Part A, 2009

Rule Weight Optimization and Feature Selection in Fuzzy Systems with Sparsity Contraints.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 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

Data-Driven and Knowledge-Based Modeling.
Proceedings of the Hagenberg Research, 2009

2008
FLEXFIS: A Robust Incremental Learning Approach for Evolving Takagi-Sugeno Fuzzy Models.
IEEE Trans. Fuzzy Syst., 2008

Extensions of vector quantization for incremental clustering.
Pattern Recognit., 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

On-Line Fault Detection with Data-Driven Evolving Fuzzy Models.
Control. Intell. Syst., 2008

An On-Line Interactive Self-adaptive Image Classification Framework.
Proceedings of the Computer Vision Systems, 6th International Conference, 2008

Increasing Classification Robustness with Adaptive Features.
Proceedings of the Computer Vision Systems, 6th International Conference, 2008

Applying evolving fuzzy models with adaptive local error bars to on-line fault detection.
Proceedings of the 3rd International Workshop on Genetic and Evolving Systems, 2008

Improving the robustness of data-driven fuzzy systems with regularization.
Proceedings of the FUZZ-IEEE 2008, 2008

On Preprocessing Multi-channel Sensor Data for Online Process Monitoring.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

On Human-Machine Interaction during Online Image Classifier Training.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

Evolving Vector Quantization for Classification of On-Line Data Streams.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

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

2006
Separated Antecedent and Consequent Learning for Takagi-Sugeno Fuzzy Systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
FLEXFIS: A Variant for Incremental Learning of Takagi-Sugeno Fuzzy Systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

Improving the interpretability of data-driven evolving fuzzy systems.
Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005

2004
Premise parameter estimation and adaptation in fuzzy systems with open-loop clustering methods.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
Filtering of dynamic measurements in intelligent sensors for fault detection based on data-driven models.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003


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