Edwin Lughofer

发表

pClass: An Effective Classifier for Streaming Examples

Mahardhika Pratama, Sreenatha G. Anavatti, Meng Joo Er, 2015, IEEE Transactions on Fuzzy Systems.

Visual Inspection Systems

Edwin Lughofer, E. Lughofer, 2011 .

Flexible Evolving Fuzzy Inference Systems from Data Streams (FLEXFIS

Edwin Lughofer, E. Lughofer, 2012 .

Program and abstracts of 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)

Edwin Lughofer, Moamar Sayed-Mouchaweh, Antony Fleury, 2015 .

Incremental and decremental active learning for optimized self-adaptive calibration in viscose production

Edwin Lughofer, Jürgen Kasberger, Peter Hintenaus, 2014 .

Self-adaptive and local strategies for a smooth treatment of drifts in data streams

Edwin Lughofer, Ammar Shaker, 2014, Evol. Syst..

Parsimonious random vector functional link network for data streams

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

DECMO2: a robust hybrid and adaptive multi-objective evolutionary algorithm

Edwin Lughofer, Wolfgang Amrhein, Erich-Peter Klement, 2014, Soft Computing.

On-line anomaly detection with advanced independent component analysis of multi-variate residual signals from causal relation networks

Mahardhika Pratama, Edwin Lughofer, Christian Eitzinger, 2020, Inf. Sci..

Virtual Quality control using bidirectional LSTM networks and gradient boosting

Edwin Lughofer, Christian Eitzinger, Pauline Meyer-Heye, 2019, 2019 IEEE 17th International Conference on Industrial Informatics (INDIN).

Resolving global and local drifts in data stream regression using evolving rule-based models

Edwin Lughofer, Ammar Shaker, 2013, 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Evolving type-2 web news mining

Sreenatha G. Anavatti, Edwin Lughofer, Mahardhika Pratama, 2017, Appl. Soft Comput..

Evolving fuzzy neural hydrocarbon networks: A model based on organic compounds

Edwin Lughofer, Paulo Vitor de Campos Souza, Hiram Ponce, 2020, Knowl. Based Syst..

Rule Weight Optimization and Feature Selection in Fuzzy Systems with Sparsity Contraints

Edwin Lughofer, Stefan Kindermann, E. Lughofer, 2009, IFSA/EUSFLAT Conf..

Improving the robustness of data-driven fuzzy systems with regularization

Edwin Lughofer, Stefan Kindermann, E. Lughofer, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

Variants of Recursive Consequent Parameters Learning in Evolving Neuro-Fuzzy Systems

Edwin Lughofer, E. Lughofer, 2020, 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Editorial on the special issue “Hybrid and ensemble techniques in soft computing: recent advances and emerging trends”

Edwin Lughofer, Przemyslaw Kazienko, Bogdan Trawinski, 2015, Soft Comput..

Fault Detection in Engine Measurement Systems by a Model-Based Approach

Edwin Lughofer, José Galindo, Carlos Guardiola, 2004 .

Reliable All-Pairs Evolving Fuzzy Classifiers

Edwin Lughofer, Oliver Buchtala, E. Lughofer, 2013, IEEE Transactions on Fuzzy Systems.

Advanced linguistic explanations of classifier decisions for users' annotation support

Edwin Lughofer, Wolfgang Heidl, Christian Eitzinger, 2016, 2016 IEEE 8th International Conference on Intelligent Systems (IS).

On Human-Machine Interaction during Online Image Classifier Training

Edwin Lughofer, Hendrik Van Brussel, Praminda Caleb-Solly, 2008, 2008 International Conference on Computational Intelligence for Modelling Control & Automation.

Single-pass active learning with conflict and ignorance

Edwin Lughofer, E. Lughofer, 2012, Evolving Systems.

Hybrid active learning for reducing the annotation effort of operators in classification systems

Edwin Lughofer, E. Lughofer, 2012, Pattern Recognit..

Fault detection in reciprocating compressor valves under varying load conditions

Edwin Lughofer, Matthias Huschenbett, Thomas Buchegger, 2016 .

Modeling and control with neural networks for a magnetic levitation system

Edwin Lughofer, Ahmed Alsaedi, Tasawar Hayat, 2017, Neurocomputing.

Human behavior analysis for library and information science

Edwin Lughofer, Chia-Chen Chen, Neil Y. Yen, 2017, Library hi tech.

On employing fuzzy modeling algorithms for the valuation of residential premises

Edwin Lughofer, Bogdan Trawinski, Krzysztof Trawinski, 2011, Inf. Sci..

Interpretability Issues in EFS

Edwin Lughofer, 2011 .

Improving the interpretability of data-driven evolving fuzzy systems

Eyke Hüllermeier, Edwin Lughofer, Erich-Peter Klement, 2005, EUSFLAT Conf..

PANFIS: A Novel Incremental Learning Machine

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

Multi-objective Topology Optimization of Electrical Machine Designs Using Evolutionary Algorithms with Discrete and Real Encodings

Edwin Lughofer, Alexandru-Ciprian Zavoianu, Gerd Bramerdorfer, 2017, EUROCAST.

GENEFIS: Toward an Effective Localist Network

Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer, 2014, IEEE Transactions on Fuzzy Systems.

Information fusion in smart living technology innovations

Edwin Lughofer, Ken Sakamura, Mu-Yen Chen, 2015, Inf. Fusion.

Increasing On-line Classification Performance Using Incremental Classifier Fusion

Edwin Lughofer, Hendrik Van Brussel, Davy Sannen, 2009, 2009 International Conference on Adaptive and Intelligent Systems.

Reducing false positives for residual-based on-line fault detection by means of filters

Edwin Lughofer, Markus Pichler, Thomas Buchegger, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Autonomous data stream clustering implementing split-and-merge concepts - Towards a plug-and-play approach

Edwin Lughofer, Moamar Sayed Mouchaweh, E. Lughofer, 2015, Inf. Sci..

Preface

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

Efficient Multi-Objective Optimization Using 2-Population Cooperative Coevolution

Edwin Lughofer, Wolfgang Amrhein, Erich-Peter Klement, 2013, EUROCAST.

Automated Process Optimization in Manufacturing Systems Based on Static and Dynamic Prediction Models

Mahardhika Pratama, Edwin Lughofer, Alexandru-Ciprian Zavoianu, 2019, Predictive Maintenance in Dynamic Systems.

Robust Generalized Fuzzy Systems Training From High-Dimensional Time-Series Data Using Local Structure Preserving PLS

Edwin Lughofer, Ramin Nikzad-Langerodi, E. Lughofer, 2020, IEEE Transactions on Fuzzy Systems.

Incremental Classifier Fusion and Its Applications in Industrial Monitoring and Diagnostics

Edwin Lughofer, Hendrik Van Brussel, Steve Vandenplas, 2012 .

Condition Monitoring at Rolling Mills with Data-Driven Residual-Based Fault Detection

Edwin Lughofer, Thomas Buchegger, Kurt Pichler, 2013, MIM.

DEVDAN: Deep Evolving Denoising Autoencoder pdf

Edwin Lughofer, Yew Soon Ong, Andri Ashfahani, 2020, Neurocomputing.

On-line elimination of local redundancies in evolving fuzzy systems

Edwin Lughofer, Ammar Shaker, Jean-Luc Bouchot, 2011, Evol. Syst..

Hybridization of multi-objective evolutionary algorithms and artificial neural networks for optimizing the performance of electrical drives

Edwin Lughofer, Wolfgang Amrhein, Erich-Peter Klement, 2013, Eng. Appl. Artif. Intell..

All-Pairs Evolving Fuzzy Classifiers for On-line Multi-Class Classification Problems

Edwin Lughofer, 2011, EUSFLAT Conf..

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

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

Online System Identification and Prediction

Edwin Lughofer, 2011 .

Detection of driver maneuvers using evolving fuzzy cloud-based system

Edwin Lughofer, Araceli Sanchis, Igor Škrjanc, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Fault diagnosis and prognosis based on physical knowledge and reliability data: Application to MOS Field-Effect Transistor

Edwin Lughofer, M. A. Djeziri, M. Sayed Mouchaweh, 2020 .

Data driven modelling based on Recurrent Interval-Valued Metacognitive Scaffolding Fuzzy Neural Network

Chee Peng Lim, Mahardhika Pratama, Sreenatha G. Anavatti, 2017, Neurocomputing.

Human–Machine Interaction Issues in Quality Control Based on Online Image Classification

Edwin Lughofer, Praminda Caleb-Solly, Christian Eitzinger, 2009, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

Self-adaptive evolving forecast models with incremental PLS space updating for on-line prediction of micro-fluidic chip quality

Edwin Lughofer, Christian Eitzinger, Alexandru-Ciprian Zavoianu, 2018, Eng. Appl. Artif. Intell..

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

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

Big Data and Situation-Aware Technology for Smarter Healthcare

Edwin Lughofer, Robi Polikar, Mu-Yen Chen, 2018, Journal of Medical and Biological Engineering.

Navigating Interpretability Issues in Evolving Fuzzy Systems

Edwin Lughofer, E. Lughofer, 2012, SUM.

Residual-based fault detection using soft computing techniques for condition monitoring at rolling mills

Edwin Lughofer, Thomas Buchegger, Kurt Pichler, 2014, Inf. Sci..

Data-Driven Residual-Based Fault Detection for Condition Monitoring in Rolling Mills

Edwin Lughofer, Thomas Buchegger, Kurt Pichler, 2013 .

Possibilities for Speeding Up the FE-Based Optimization of Electrical Machines—A Case Study

Edwin Lughofer, Wolfgang Amrhein, Alexandru-Ciprian Zavoianu, 2016, IEEE Transactions on Industry Applications.

Improving the robustness of recursive consequent parameters learning in evolving neuro-fuzzy systems

Edwin Lughofer, E. Lughofer, 2021, Inf. Sci..

Incremental rule splitting in generalized evolving fuzzy regression models

Igor Skrjanc, Mahardhika Pratama, Edwin Lughofer, 2017, 2017 Evolving and Adaptive Intelligent Systems (EAIS).

Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems

Edwin Lughofer, Stephan M. Winkler, Michael Affenzeller, 2016, IJCCI.

Modeling human aesthetic perception of visual textures

Edwin Lughofer, Christian Eitzinger, Frans W. Cornelissen, 2008, ACM Trans. Appl. Percept..

Special Issue: Evolving Soft Computing Techniques and Applications

Edwin Lughofer, Moamar Sayed Mouchaweh, Abdelhamid Bouchachia, 2014, Appl. Soft Comput..

EFS Approaches for Regression and Classification

Edwin Lughofer, 2011 .

Dynamic Quantification of Process Parameters in Viscose Production with Evolving Fuzzy Systems

Edwin Lughofer, Jürgen Kasberger, Peter Hintenaus, 2012, IPMU.

Generalized smart evolving fuzzy systems

Mahardhika Pratama, Edwin Lughofer, Stefan Kindermann, 2015, Evol. Syst..

Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems

Nikola Kasabov, Edwin Lughofer, Plamen Angelov, 2013 .

Towards Robust and Process-Save EFS

Edwin Lughofer, 2011 .

Big Data Analytics based on PANFIS MapReduce

Edwin Lughofer, Qing Cai, Md Meftahul Ferdaus, 2018, INNS Conference on Big Data.

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

Edwin Lughofer, E. Lughofer, 2013, Inf. Sci..

Detecting Cracks in Reciprocating Compressor Valves Using Pattern Recognition in Frequency Space

Edwin Lughofer, Matthias Huschenbett, Thomas Buchegger, 2012 .

Self-Adaptive Time-Series Based Forecast Models for Predicting Quality Criteria in Microfluidics Chip Production

Edwin Lughofer, Christian Eitzinger, Alexandru-Ciprian Zavoianu, 2017, 2017 3rd IEEE International Conference on Cybernetics (CYBCON).

NIR-based quantification of process parameters in polyetheracrylat (PEA) production using flexible non-linear fuzzy systems

Edwin Lughofer, Jürgen Kasberger, Wolfgang Märzinger, 2011 .

Evolving Vector Quantization for Classification of On-Line Data Streams

Edwin Lughofer, E. Lughofer, 2008, 2008 International Conference on Computational Intelligence for Modelling Control & Automation.

Informetrics on social network mining: research, policy and practice challenges

Erol Egrioglu, Edwin Lughofer, Mu-Yen Chen, 2020, Libr. Hi Tech.

On Dynamic Soft Dimension Reduction in Evolving Fuzzy Classifiers

Edwin Lughofer, 2010, IPMU.

Approximation of incoherent probabilities

Edwin Lughofer, Thomas Weiler, 2019, Int. J. Approx. Reason..

Evolving type-2 recurrent fuzzy neural network

J. Wenny Rahayu, Tharam S. Dillon, Mahardhika Pratama, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Multi-objective knowledge-based strategy for process parameter optimization in Micro-fluidic chip production

Edwin Lughofer, Christian Eitzinger, Alexandru-Ciprian Zavoianu, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Aesthetic perception of visual textures: a holistic exploration using texture analysis, psychological experiment, and perception modeling

Xianyi Zeng, Edwin Lughofer, Jianli Liu, 2015, Front. Comput. Neurosci..

Top–Down Sparse Fuzzy Regression Modeling from Data with Improved Coverage

Mahardhika Pratama, Edwin Lughofer, Stefan Kindermann, 2017, Int. J. Fuzzy Syst..

Applying evolving fuzzy models with adaptive local error bars to on-line fault detection

Edwin Lughofer, Carlos Guardiola, C. Guardiola, 2008, 2008 3rd International Workshop on Genetic and Evolving Systems.

Data driven modeling based on dynamic parsimonious fuzzy neural network

Meng Joo Er, Edwin Lughofer, Imam Arifin, 2013, Neurocomputing.

An Effective Ensemble-Based Method for Creating On-the-Fly Surrogate Fitness Functions for Multi-objective Evolutionary Algorithms

Edwin Lughofer, Wolfgang Amrhein, Erich-Peter Klement, 2013, 2013 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.

Gradient-based fuzzy fault isolation in residual-based fault detection systems

Edwin Lughofer, Markus Pichler, Thomas Buchegger, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications

Edwin Lughofer, E. Lughofer, 2011, Studies in Fuzziness and Soft Computing.

On-Line Fault Detection with Data-Driven Evolving Fuzzy Models

Edwin Lughofer, Carlos Guardiola, 2008, Control. Intell. Syst..

Increasing Classification Robustness with Adaptive Features

Edwin Lughofer, Wolfgang Heidl, Christian Eitzinger, 2008, ICVS.

Classifier-based analysis of visual inspection: Gender differences in decision-making

Edwin Lughofer, Wolfgang Heidl, Christian Eitzinger, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

A soft-computing framework for automated optimization of multiple product quality criteria with application to micro-fluidic chip production

Edwin Lughofer, Christian Eitzinger, Thomas Radauer, 2020, Appl. Soft Comput..

Model Explanation and Interpretation Concepts for Stimulating Advanced Human-Machine Interaction with "Expert-in-the-Loop"

Edwin Lughofer, E. Lughofer, 2018, Human and Machine Learning.

On Dynamic Selection of the Most Informative Samples in Classification Problems

Edwin Lughofer, E. Lughofer, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

Online identification of complex multi-input-multi-output system based on generic evolving neuro-fuzzy inference system

Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer, 2013, 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Hybrid Model for Parkinson’s Disease Prediction

Edwin Lughofer, Paulo Vitor de Campos Souza, Augusto Junio Guimarães, 2020, IPMU.

Editorial of the special issue: Online fuzzy machine learning and data mining

Daniel Sánchez, Edwin Lughofer, Abdelhamid Bouchachia, 2013, Inf. Sci..

eVQ-AM: An extended dynamic version of evolving vector quantization

Edwin Lughofer, 2013, 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

An Online RFID Localization in the Manufacturing Shopfloor pdf

Edwin Lughofer, Huang Sheng, Qing Cai, 2018, Predictive Maintenance in Dynamic Systems.

pClass+: A Novel Evolving Semi-Supervised Classifier

Chee Peng Lim, Tharam S. Dillon, Mahardhika Pratama, 2017, Int. J. Fuzzy Syst..

Affective Property Computation of Visual Texture

Xianyi Zeng, Edwin Lughofer, Lei Wang, 2015, 2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE).

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..

An Advanced Pruning Method in the Architecture of Extreme Learning Machines Using L1-Regularization and Bootstrapping

Edwin Lughofer, Paulo Vitor de Campos Souza, Antônio de Pádua Braga, 2020, Electronics.

On Improving Performance and Increasing Useability of EFS

Edwin Lughofer, 2011 .

Improved fault detection employing hybrid memetic fuzzy modeling and adaptive filters

Edwin Lughofer, Alexandru-Ciprian Zavoianu, Markus Pichler, 2017, Appl. Soft Comput..

Performance comparison of generational and steady-state asynchronous multi-objective evolutionary algorithms for computationally-intensive problems

Edwin Lughofer, Wolfgang Amrhein, Erich-Peter Klement, 2015, Knowl. Based Syst..

A novel algorithm for the modelling of complex processes

Edwin Lughofer, Plamen Angelov, José de Jesús Rubio, 2018 .

On-line active learning: A new paradigm to improve practical useability of data stream modeling methods

Edwin Lughofer, E. Lughofer, 2017, Inf. Sci..

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

Edwin Lughofer, Moamar Sayed Mouchaweh, Anthony Fleury, 2017, Evol. Syst..

Editorial: Special issue on Advanced Soft Computing for Prognostic Health Management

Igor Skrjanc, Mahardhika Pratama, Edwin Lughofer, 2018, Applied Soft Computing.

On-line active learning based on enhanced reliability concepts

Edwin Lughofer, 2012, 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems.

Integrating new classes on the fly in evolving fuzzy classifier designs and their application in visual inspection

Edwin Lughofer, Wolfgang Heidl, Christian Eitzinger, 2015, Appl. Soft Comput..

Hybrid adaptive calibration methods and ensemble strategy for prediction of cloud point in melamine resin production

Edwin Lughofer, Jürgen Kasberger, Peter Hintenaus, 2013 .

Data-Driven Design of Takagi-Sugeno Fuzzy Systems for Predicting NOx Emissions

Edwin Lughofer, Erich-Peter Klement, Carlos Guardiola, 2010, IPMU.

Dynamic Evolving Cluster Models Using On-line Split-and-Merge Operations

Edwin Lughofer, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Metacognitive learning approach for online tool condition monitoring

Mahardhika Pratama, Edwin Lughofer, Chow Yin Lai, 2017, Journal of Intelligent Manufacturing.

Online Active Learning in Data Stream Regression Using Uncertainty Sampling Based on Evolving Generalized Fuzzy Models

Mahardhika Pratama, Edwin Lughofer, E. Lughofer, 2018, IEEE Transactions on Fuzzy Systems.

Premise parameter estimation and adaptation in fuzzy systems with open-loop clustering methods

Edwin Lughofer, Erich-Peter Klement, E. Klement, 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

Basic Algorithms for EFS

Edwin Lughofer, 2011 .

Evolving time-series based prediction models for quality criteria in a multi-stage production process

Mahardhika Pratama, Edwin Lughofer, Christian Eitzinger, 2018, 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Ensembled Self-Adaptive Fuzzy Calibration Models for On-line Cloud Point Prediction

Edwin Lughofer, Jürgen Kasberger, Peter Hintenaus, 2013, EUSFLAT Conf..

Detecting cracks in reciprocating compressor valves using pattern recognition in the pV diagram

Edwin Lughofer, Erich-Peter Klement, Matthias Huschenbett, 2015, Pattern Analysis and Applications.

An Incremental Classifier from Data Streams

Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer, 2014, SETN.

The Power of Visual Texture in Aesthetic Perception: An Exploration of the Predictability of Perceived Aesthetic Emotions

Xianyi Zeng, Edwin Lughofer, Jianli Liu, 2018, Comput. Intell. Neurosci..

A novel meta-cognitive-based scaffolding classifier to sequential non-stationary classification problems

Mahardhika Pratama, Sreenatha G. Anavatti, Meng Joo Er, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Toward Model Building for Visual Aesthetic Perception

Xianyi Zeng, Edwin Lughofer, Jianli Liu, 2017, Comput. Intell. Neurosci..

Fuzzy fault isolation using gradient information and quality criteria from system identification models

Edwin Lughofer, Markus Pichler, Thomas Buchegger, 2015, Inf. Sci..

PAC: A Novel Self-Adaptive Neuro-Fuzzy Controller for Micro Aerial Vehicles

Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer, 2018, Inf. Sci..

On-Line Fault and Anomaly Detection

Edwin Lughofer, 2011 .

Evolving fuzzy rule-based classifier based on GENEFIS

Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning pdf

Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz, 2017, ICLR.

Fault detection in multi-sensor networks based on multivariate time-series models and orthogonal transformations

Edwin Lughofer, Markus Pichler, Thomas Buchegger, 2014, Inf. Fusion.

An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks

Mahardhika Pratama, Meng Joo Er, Edwin Lughofer, 2017, IEEE Transactions on Fuzzy Systems.

Explaining classifier decisions linguistically for stimulating and improving operators labeling behavior

Edwin Lughofer, Wolfgang Heidl, Christian Eitzinger, 2017, Inf. Sci..

Extensions of vector quantization for incremental clustering

Edwin Lughofer, E. Lughofer, 2008, Pattern Recognit..

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

Xianyi Zeng, Edwin Lughofer, Jianli Liu, 2015, Neurocomputing.

MapView: Graphical Data Representation for Active Learning

Edwin Lughofer, Wolfgang Heidl, Christian Eitzinger, 2016, AL@iKNOW.

Assessment of the influence of adaptive components in trainable surface inspection systems

Edwin Lughofer, Hendrik Van Brussel, Wolfgang Heidl, 2010, Machine Vision and Applications.

Identifying static and dynamic prediction models for NOx emissions with evolving fuzzy systems

Edwin Lughofer, Erich-Peter Klement, Carlos Guardiola, 2011, Appl. Soft Comput..

Online Quality Control with Flexible Evolving Fuzzy Systems

Edwin Lughofer, Christian Eitzinger, Carlos Guardiola, 2012 .

On-line incremental feature weighting in evolving fuzzy classifiers

Edwin Lughofer, E. Lughofer, 2011, Fuzzy Sets Syst..

Decision Tree-based Analysis Suggests Structural Gender Differences in Visual Inspection

Edwin Lughofer, Wolfgang Heidl, Christian Eitzinger, 2011 .

Data stream mining and soft computing applications

Edwin Lughofer, Mu-Yen Chen, 2018, Appl. Soft Comput..

Decentralized fault diagnosis approach without a global model for fault diagnosis of discrete event systems

Edwin Lughofer, Moamar Sayed Mouchaweh, E. Lughofer, 2015, Int. J. Control.

Evolving Fuzzy Models

Edwin Lughofer, 2008 .

Architectures for evolving fuzzy rule-based classifiers

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

FLEXFIS: A Variant for Incremental Learning of Takagi-Sugeno Fuzzy Systems

Edwin Lughofer, Erich-Peter Klement, E. Klement, 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..

Evolving Fuzzy Systems - Fundamentals, Reliability, Interpretability, Useability and Applications

Edwin Lughofer, E. Lughofer, 2015, IJCCI.

Neural network updating via argument Kalman filter for modeling of Takagi-Sugeno fuzzy models

Edwin Lughofer, José de Jesús Rubio, Jesús A. Meda-Campaña, 2018, J. Intell. Fuzzy Syst..

Two enhancements for improving the convergence speed of a robust multi-objective coevolutionary algorithm

Edwin Lughofer, Wolfgang Amrhein, Alexandru-Ciprian Zavoianu, 2018, GECCO.

A Comparative Study of two Approaches for Data-Driven Design of Evolving Fuzzy Systems: eTS and FLEXFIS

Edwin Lughofer, Plamen Angelov, 2008 .

Prologue: Predictive Maintenance in Dynamic Systems

Edwin Lughofer, Moamar Sayed-Mouchaweh, E. Lughofer, 2019, Predictive Maintenance in Dynamic Systems.

A randomized neural network for data streams

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

ATL: Autonomous Knowledge Transfer from Many Streaming Processes

Edwin Lughofer, Jie Lu, Mahardhika Pratama, 2019, CIKM.

Scaffolding type-2 classifier for incremental learning under concept drifts

Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer, 2016, Neurocomputing.

Evolving Ensemble Fuzzy Classifier

Witold Pedrycz, Mahardhika Pratama, Edwin Lughofer, 2017, IEEE Transactions on Fuzzy Systems.

Online real-time learning strategies for data streams for Neurocomputing

Dianhui Wang, Edwin Lughofer, Mahardhika Pratama, 2017, Neurocomputing.

On the robustness of fault detection in reciprocating compressor valves

Edwin Lughofer, Erich-Peter Klement, Matthias Huschenbett, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A novel algorithm for the modeling of complex processes

Edwin Lughofer, Plamen Angelov, José de Jesús Rubio, 2018, Kybernetika.

Incremental Rule Splitting in Generalized Evolving Fuzzy Systems for Autonomous Drift Compensation

Igor Skrjanc, Mahardhika Pratama, Edwin Lughofer, 2018, IEEE Transactions on Fuzzy Systems.

A Hybrid Soft Computing Approach for Optimizing Design Parameters of Electrical Drives

Edwin Lughofer, Wolfgang Amrhein, Erich-Peter Klement, 2012, SOCO.

On improving performance of surface inspection systems by online active learning and flexible classifier updates

Edwin Lughofer, Wolfgang Heidl, Christian Eitzinger, 2015, Machine Vision and Applications.

Investigation of Evolving Fuzzy Systems Methods FLEXFIS and eTS on Predicting Residential Prices

Edwin Lughofer, Bogdan Trawinski, Krzysztof Trawinski, 2011, WILF.

Fast and economic integration of new classes on the fly in evolving fuzzy classifiers using class decomposition

Edwin Lughofer, Wolfgang Heidl, Christian Eitzinger, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams pdf

Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong, 2018, ArXiv.

Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey

Igor Skrjanc, Edwin Lughofer, Araceli Sanchis, 2019, Inf. Sci..

Detecting broken reciprocating compressor valves in the pV diagram

Edwin Lughofer, Erich-Peter Klement, Matthias Huschenbett, 2013, 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

On Preprocessing Multi-channel Sensor Data for Online Process Monitoring

Edwin Lughofer, Holger Schöner, Bernhard Moser, 2008, 2008 International Conference on Computational Intelligence for Modelling Control & Automation.

Scalable Teacher-Forcing Networks under Spark Environments for Large-Scale Streaming Problems

Mahardhika Pratama, Edwin Lughofer, Choiru Za’in, 2020, 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Associating visual textures with human perceptions using genetic algorithms

Edwin Lughofer, Stefan Thumfart, Werner Groissboeck, 2010, Inf. Sci..

Hybrid and Ensemble Methods in Machine Learning

Edwin Lughofer, Przemyslaw Kazienko, Bogdan Trawinski, 2013, J. Univers. Comput. Sci..

Self-Adaptive Non-linear Methods for Improved Multivariate Calibration in Chemical Processes

Edwin Lughofer, Wolfgang Märzinger, Carlos Cernuda, 2015 .

A dynamic split-and-merge approach for evolving cluster models

Edwin Lughofer, 2012, Evol. Syst..

Online Tool Condition Monitoring Based on Parsimonious Ensemble+

Witold Pedrycz, Mahardhika Pratama, Edwin Lughofer, 2017, IEEE Transactions on Cybernetics.

Impact of object extraction methods on classification performance in surface inspection systems

Edwin Lughofer, Christian Eitzinger, James Edward Smith, 2010, Machine Vision and Applications.

A Surrogate-Based Strategy for Multi-objective Tolerance Analysis in Electrical Machine Design

Edwin Lughofer, Wolfgang Amrhein, Alexandru-Ciprian Zavoianu, 2015, 2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC).

Learning in Non-Stationary Environments

Edwin Lughofer, Moamar Sayed-Mouchaweh, E. Lughofer, 2012 .

Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems

Edwin Lughofer, Stephan M. Winkler, Michael Affenzeller, 2018, Appl. Soft Comput..

Adaptive and on-line learning in non-stationary environments

Edwin Lughofer, Moamar Sayed Mouchaweh, 2015, Evol. Syst..

Further (Potential) Application Fields

Edwin Lughofer, 2011 .

Online Sequential Ensembling of Fuzzy Systems

Mahardhika Pratama, Edwin Lughofer, E. Lughofer, 2020, 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Drift detection in data stream classification without fully labelled instances

Edwin Lughofer, Wolfgang Heidl, Christian Eitzinger, 2015, 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS).

On-Line Valuation of Residential Premises with Evolving Fuzzy Models

Edwin Lughofer, Bogdan Trawinski, Krzysztof Trawinski, 2011, HAIS.

Envolving fuzzy systems methodologies, advanced concepts and applications / Edwin Lughofer

Edwin Lughofer, 2011 .

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

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

FLEXFIS: A Robust Incremental Learning Approach for Evolving Takagi–Sugeno Fuzzy Models

Edwin Lughofer, E. Lughofer, 2008, IEEE Transactions on Fuzzy Systems.

On-line Redundancy Elimination in Evolving Fuzzy Regression Models using a Fuzzy Inclusion Measure

Eyke Hüllermeier, Edwin Lughofer, 2011, EUSFLAT Conf..

Machine learning based analysis of gender differences in visual inspection decision making

Edwin Lughofer, Wolfgang Heidl, Christian Eitzinger, 2013, Inf. Sci..

Autonomous supervision and optimization of product quality in a multi-stage manufacturing process based on self-adaptive prediction models

Mahardhika Pratama, Edwin Lughofer, Christian Eitzinger, 2019, Journal of Process Control.

Smart space technology innovations

Edwin Lughofer, Mu-Yen Chen, 2013, Libr. Hi Tech.

SparseFIS: Data-Driven Learning of Fuzzy Systems With Sparsity Constraints

Edwin Lughofer, Stefan Kindermann, E. Lughofer, 2010, IEEE Transactions on Fuzzy Systems.

Towards incremental classifier fusion

Edwin Lughofer, Hendrik Van Brussel, Davy Sannen, 2010, Intell. Data Anal..

Multi-source transfer learning of time series in cyclical manufacturing

Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz, 2019, J. Intell. Manuf..

Separated Antecedent and Consequent Learning for Takagi-Sugeno Fuzzy Systems

László T. Kóczy, Tamás D. Gedeon, Edwin Lughofer, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Hybrid Evolutionary Particle Swarm Optimization and Ant Colony Optimization for Variable Selection. Application to Near Infrared Spectroscopy

Edwin Lughofer, Wolfram Summerer, Wolfgang Märzinger, 2013 .

Self-adaptive forecast models in predictive maintenance systems

Edwin Lughofer, 2018, SYNASC.

Knowledge extraction about patients surviving breast cancer treatment through an autonomous fuzzy neural network

Edwin Lughofer, Paulo Vitor de Campos Souza, Yu-Kai Wang, 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications

Edwin Lughofer, Moamar Sayed-Mouchaweh, 2020 .

Detecting Broken Reciprocating Compressor Valves in pV Diagrams of Different Valve Types

Edwin Lughofer, Matthias Huschenbett, Thomas Buchegger, 2013 .

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

Edwin Lughofer, E. Lughofer, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

On-line evolving image classifiers and their application to surface inspection

Edwin Lughofer, E. Lughofer, 2010, Image Vis. Comput..

Fast learning of neural networks with application to big data processes

Jianbin Qiu, Edwin Lughofer, Mu-Yen Chen, 2020, Neurocomputing.

Data-Driven and Knowledge-Based Modeling

Edwin Lughofer, Bernhard Moser, Erich Peter Klement, 2009, Hagenberg Research.

Recognizing input space and target concept drifts in data streams with scarcely labeled and unlabelled instances

Edwin Lughofer, Wolfgang Heidl, Christian Eitzinger, 2016, Inf. Sci..

Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment

Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz, 2017, Inf. Sci..

An On-Line Interactive Self-adaptive Image Classification Framework

Edwin Lughofer, Praminda Caleb-Solly, Christian Eitzinger, 2008, ICVS.

Generalized Flexible Fuzzy Inference Systems

Mahardhika Pratama, Edwin Lughofer, Carlos Cernuda, 2013, 2013 12th International Conference on Machine Learning and Applications.

An incremental meta-cognitive-based scaffolding fuzzy neural network

Chee Peng Lim, Mahardhika Pratama, Sreenatha G. Anavatti, 2016, Neurocomputing.

Robust Data-Driven Fault Detection in Dynamic Process Environments Using Discrete Event Systems

Edwin Lughofer, E. Lughofer, 2018 .

Recent advances on evolving intelligent systems and applications

Edwin Lughofer, Fernando A. C. Gomide, F. Gomide, 2014, Evol. Syst..

Identification of Heart Sounds with an Interpretable Evolving Fuzzy Neural Network

Edwin Lughofer, Paulo Vitor de Campos Souza, E. Lughofer, 2020, Sensors.

Deep learning: emerging trends, applications and research challenges

Erol Egrioglu, Edwin Lughofer, Mu-Yen Chen, 2020, Soft Comput..

Learning in Non-Stationary Environments: Methods and Applications

Edwin Lughofer, Moamar Sayed-Mouchaweh, E. Lughofer, 2012 .

Hybrid Genetic-Fuzzy Systems for improved performance in Residual-Based Fault Detection

Edwin Lughofer, Alexandru-Ciprian Zavoianu, Thomas Buchegger, 2014, 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014).

On the Performance of Master-Slave Parallelization Methods for Multi-Objective Evolutionary Algorithms

Edwin Lughofer, Wolfgang Amrhein, Erich-Peter Klement, 2013, ICAISC.

Dynamic Inclusion of New Event Types in Visual Inspection Using Evolving Classifiers

Edwin Lughofer, Wolfgang Heidl, Thomas Radauer, 2014, 2014 13th International Conference on Machine Learning and Applications.

An approach to model-based fault detection in industrial measurement systems with application to engine test benches

Edwin Lughofer, Plamen Angelov, Carlos Guardiola, 2006 .

Inner matrix norms in evolving Cauchy possibilistic clustering for classification and regression from data streams

Dejan Dovzan, Igor Skrjanc, Edwin Lughofer, 2019, Inf. Sci..

Evolving Fuzzy Neural Network Based on Uni-nullneuron to Identify Auction Fraud

Edwin Lughofer, Augusto Junio Guimaraes, Paulo Vitor de Campos Souza, 2021, Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AG.

Multilayered-quality education ecosystem (MQEE): an intelligent education modal for sustainable quality education

Edwin Lughofer, Khalid Abualsaud, Anil Verma, 2021, Journal of Computing in Higher Education.

Online bagging of evolving fuzzy systems

Igor Skrjanc, Mahardhika Pratama, Edwin Lughofer, 2021, Inf. Sci..

Scalable Teacher Forcing Network for Semi-Supervised Large Scale Data Streams

Mahardhika Pratama, Edwin Lughofer, Eric Pardede, 2021, Inf. Sci..

Adapting H-infinity controller for the desired reference tracking of the sphere position in the maglev process

Edwin Lughofer, José de Jesús Rubio, Genaro Ochoa, 2021, Inf. Sci..

Autonomous Deep Quality Monitoring in Streaming Environments

Mahardhika Pratama, Edwin Lughofer, Edward Kien Yee Yapp, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Online sequential ensembling of predictive fuzzy systems

Mahardhika Pratama, Edwin Lughofer, E. Lughofer, 2021, Evol. Syst..