Edwin Lughofer
Orcid: 0000-0003-1560-5136
According to our database1,
Edwin Lughofer
authored at least 217 papers
between 2003 and 2024.
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Bibliography
2024
Robust Evolving Fuzzy Classifier Integrating Noise Smoothing and Soft Dimension Reduction.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2024
Data-driven prediction of possible quality deterioration in injection molding processes.
Appl. Soft Comput., January, 2024
2023
EFNC-Exp: An evolving fuzzy neural classifier integrating expert rules and uncertainty.
Fuzzy Sets Syst., August, 2023
IEEE Trans. Fuzzy Syst., June, 2023
Evolving fuzzy neural classifier that integrates uncertainty from human-expert feedback.
Evol. Syst., April, 2023
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
2022
An Explainable Evolving Fuzzy Neural Network to Predict the k Barriers for Intrusion Detection Using a Wireless Sensor Network.
Sensors, 2022
Evolving multi-label fuzzy classifier with advanced robustness respecting human uncertainty.
Knowl. Based Syst., 2022
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
Fuzzy Sets Syst., 2022
An advanced interpretable Fuzzy Neural Network model based on uni-nullneuron constructed from n-uninorms.
Fuzzy Sets Syst., 2022
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
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
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
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
IEEE Access, 2021
Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021
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
IEEE Trans. Cybern., 2020
Soft Comput., 2020
Sensors, 2020
Libr. Hi Tech, 2020
Knowl. Based Syst., 2020
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
Inf. Sci., 2020
Neurocomputing, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
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
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
J. Intell. Manuf., 2019
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
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
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
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
Neural network updating via argument Kalman filter for modeling of Takagi-Sugeno fuzzy models.
J. Intell. Fuzzy Syst., 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
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
Proceedings of the 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2018
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
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
Neurocomputing, 2017
Neurocomputing, 2017
Data driven modelling based on Recurrent Interval-Valued Metacognitive Scaffolding Fuzzy Neural Network.
Neurocomputing, 2017
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
Comput. Intell. Neurosci., 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
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
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
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
Neurocomputing, 2016
Neurocomputing, 2016
Advanced linguistic explanations of classifier decisions for users' annotation support.
Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016
Proceedings of the Workshop on Active Learning: Applications, 2016
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
IEEE Trans. Fuzzy Syst., 2015
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
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
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
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
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015
2014
IEEE Trans. Neural Networks Learn. 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
Evol. Syst., 2014
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
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
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
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
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
Inf. Sci., 2013
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
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
Proceedings of the FUZZ-IEEE 2013, 2013
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013
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
Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013
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
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
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012
2011
ACM Trans. Appl. Percept., 2011
Inf. Sci., 2011
Fuzzy Sets Syst., 2011
Evol. Syst., 2011
Identifying static and dynamic prediction models for NOx emissions with evolving fuzzy systems.
Appl. Soft Comput., 2011
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
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
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
Studies in Fuzziness and Soft Computing 266, Springer, ISBN: 978-3-642-18086-6, 2011
2010
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
Image Vis. Comput., 2010
Inf. Sci., 2010
Classifier-based analysis of visual inspection: Gender differences in decision-making.
Proceedings of the IEEE International Conference on Systems, 2010
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2010
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010
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
Proceedings of the Hagenberg Research, 2009
2008
FLEXFIS: A Robust Incremental Learning Approach for Evolving Takagi-Sugeno Fuzzy Models.
IEEE Trans. Fuzzy Syst., 2008
Pattern Recognit., 2008
Int. J. Gen. Syst., 2008
Fuzzy Sets Syst., 2008
Control. Intell. Syst., 2008
Proceedings of the Computer Vision Systems, 6th International Conference, 2008
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
Proceedings of the FUZZ-IEEE 2008, 2008
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008
2007
Proceedings of the IEEE International Conference on Systems, 2007
Proceedings of the FUZZ-IEEE 2007, 2007
2006
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
2005
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005
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