EL

Edwin Lughofer

Johannes Kepler Universität Linz Technisch-Naturwissenschaftliche Fakultät

Research areas: Computer Science · Artificial Intelligence · Fuzzy Logic and Control Systems · Fault Detection and Control Systems · Data Stream Mining Techniques

ORCID iD 0000-0003-1560-5136
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Employment

  • Johannes Kepler Universität Linz Technisch-Naturwissenschaftliche Fakultät Key Researcher, Dr. Techn.
    1997 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (158)

  • An Incremental Meta-cognitive-based Scaffolding Fuzzy Neural Network
    Neurocomputing 2016
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  • Evolving Fuzzy Systems --- Fundamentals, Reliability, Interpretability and Useability
    Handbook of Computational Intelligence 2016
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  • Fault detection in reciprocating compressor valves under varying load conditions
    Mechanical Systems and Signal Processing 2016
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  • Improved Fault Detection employing Hybrid Memetic Fuzzy Modeling and Adaptive Filters
    Applied Soft Computing 2016
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  • On Improving Performance of Surface Inspection Systems by On-line Active Learning and Flexible Classifier Updates
    Machine Vision and Applications 2016
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  • Scaffolding Type-2 Classifier for Incremental Learning under Concept Drifts
    Neurocomputing 2016
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  • A Surrogate-Based Strategy for Multi-Objective Tolerance Analysis in Electrical Machine Design
    SYNASC 2015, 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing 2015
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  • Adaptive and on-line learning in non-stationary environments
    Evolving Systems 2015
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  • Aesthetic perception of visual textures: a holistic exploration using texture analysis, psychological experiment, and perception modeling
    Frontiers in Computational Neuroscience 2015
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  • Autonomous Data Stream Clustering implementing Incremental Split-and-Merge Techniques --- Towards a Plug-and-Play Approach
    Information Sciences 2015
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  • Could Linear Model Bridge the Gap between Low-level Statistical Features and Aesthetic Emotions of Visual Textures?
    Neurocomputing 2015
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  • DECMO2 - A Robust Hybrid Multi-Objective Evolutionary Algorithm
    Soft Computing 2015
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  • Decentralized Fault Diagnosis Approach without a Global Model for Fault Diagnosis of Discrete Event Systems
    International Journal of Control 2015
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  • Detecting cracks in reciprocating compressor valves using pattern recognition in the pV-diagram
    Pattern Analysis and Applications 2015
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  • Drift Detection in Data Stream Classification without Fully Labelled Instances
    Proceedings of the Evolving and Adaptive Intelligent Systems Conference (EAIS) 2015 2015
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  • Editorial on the special issue 'Hybrid and ensemble techniques in soft computing: recent advances and emerging trends'
    Soft Computing 2015
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  • Efficient Sample Selection in Data Stream Regression using Evolving Generalized Fuzzy Models
    Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 2015 2015
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  • Fast and Economic Integration of New Classes On the Fly in Evolving Fuzzy Classifiers using Class Decomposition
    Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 2015 2015
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  • Fuzzy Fault Isolation using Gradient Information and Quality Criteria from System Identification Models
    Information Sciences 2015
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  • Generalized Smart Evolving Fuzzy Systems
    Evolving Systems 2015
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