Edwin Lughofer

• PAC (K-Project): Process Analytical Chemistry - Data Acquistion and Data Processing (Key Researcher); National K-Project sponsored by the FFG, 9 industrial and 7 academic research partners
• IREFS (bilateral FWF/DFG research project): Interpretable and Reliable Evolving Fuzzy Systems (Initiator)
• Condition Monitoring with Data-Driven Models: Strategic Project with ACCM (Area 6)
• Performance Optimization of Electrical Drives: Strategic Project with ACCM (Area 4)
• ASHMOSD (National Research Project):  Austrian Structural Health Monitoring System Demonstrator
• DynaVis (EU-Project): Dynamically adaptive image classification framework; combining machine learning with image processing techniques: www.dynavis.org; technical representative of JKU
• SynteX (EU-Project): Measuring Feelings and Expectations Associated with Textures: www.syntex.or.at
• Technology Transfer sponsored by the Upperaustrian technology and research promotion
• AMPA (EU-Project): Automatic Measurement Plausibility Analysis at engine test benches: research and development in data-based modelling, nonlinear system identification and fault detection; technical representative of JKU in AMPA EU-Project; together with 8 partners in Europe
• Exchange of know-how in data-driven evolving fuzzy systems with Lancaster University, sponsored by the Royal Society Grant, United Kingdom

 
Activities:

• Co-Organizer of the Special Issue ’On-line Fuzzy Machine Learning and Data Mining’ at the international journal Information Sciences (Publisher: Elsevier).
• Co-Organizer of the Special Sessions 'Learning in evolving environments and its application on real-world problems’ at the ICMLA 2011 conference (Honolulu, Hawaii), 'On-line Fuzzy Modeling and Pattern Recognition' at EUSFLAT 2011 conference,  'Dynamic Learning in Non-Stationary Environments' at the ICMLA 2010 conference, 'Fuzzy Machine Learning and Data Mining' at the IPMU 2010 conference, 'Recent Advances in Evolving Fuzzy Systems' at the EUSFLAT/IFSA 2009 conference
• Member of the Editorial Board and Associate Editor of the International Journals on ’Evolving Systems’ (Springer) and the 'Organizational and Collective Intelligence'
• Member of the Programme Committees at the 6th International Conference on Soft Methods in Probability and Statistics (SMPS 2012), 2011 International Conference on Adaptive and Intelligent Systems (ICAIS'11), International Conference on Informatics in Control, Automation and Robotics (ISINCO) 2011, the Special Session Multiple Model Approach to Machine Learning (MMAML) 2011 and 2012, the IEEE Workshop on Evolving and Adaptive Intelligent Systems 2011 (EAIS'11)  the International Symposium on Evolving Intelligent Systems 2010 (EIS'10), the IEEE International Conference on Machine Learning and Applications (ICMLA) 2010 and 2011, the EUSFLAT/IFSA 2009 conference, the 2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems and of the 8th International Conference on Pervasive Intelligence and Computing (PICom 2009)
• Member of the Working Group on Learning and Data Mining and the ETTC Task Force on Machine Learning
• Reviewer for the Journals IEEE Transactions on Fuzzy Systems, Fuzzy Sets and Systems, Evolving Systems, IEEE Transactions on Systems, Men and Cybernetics part B: Cybernetics, Pattern Recognition, Information Sciences, Int. Journal of Approximate Reasoning, International Journals of Uncertainty, Fuzziness and Knowledge-Based Systems, Soft Computing, IEEE Transactions on Neural Networks, IEEE Transactions on Evolutionary Computation, Advances of Fuzzy Systems (Hindawi),  European Journal of Operational Research and others

 
Monographies and Book Chapters:
 

• Edwin Lughofer, Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications, Springer Verlag, Berlin Heidelberg, 2011, ISBN: 978-3-642-18086-6, 460 pages, 148 figures, 263 images, 26 tables.
   
• Edwin Lughofer, Evolving Fuzzy Models - Incremental Learning, Stability and Interpretability Issues, Applications, VDM Verlag, Saarbrücken, 2008 (book issue of PhD thesis)
   
• Edwin Lughofer, Data-Driven Incremental Learning of Takagi-Sugeno Fuzzy Models, PhD-Thesis, Department of Knowledge-Based Mathematical Systems, University Linz, 2001-2005

   

• Edwin Lughofer. Towards Robust Evolving Fuzzy Systems, book chapter in Evolving Intelligent Systems - Methodologies and Applications, editors: Plamen Angelov, Dimitar Filev and Nik Kasabov, John Wiley and Sons, 2010, pp. 87-126
   
• Erich Peter Klement*, Edwin Lughofer, Johannes Himmelbauer and Bernhard Moser, Data-Driven and Knowledge-Based Modelling, chapter in Hagenberg Research, editors: Michael Affenzeller, Bruno Buchberger, Alois Ferscha, Michael Haller, Tudor Jebelean, Erich Peter Klement, Josef Kueng, Peter Paule, Birgit Proell, Wolfgang Schreiner, Gerhard Weiss, Roland Wagner, Wolfram Woess, Robert Stubenrauch and Wolfgang Windsteiger, Springer Verlag, pp. 237-279, 2009
   
• Christian Eitzinger*, James E. Smith, Edwin Lughofer and Davy Sannen, Lernfaehige Inspektionssysteme, Automatisierungsatlas, SPS Magazin, 2009, pp. 370-372

Newsletters:

• Edwin Lughofer, Human-Inspired Evolving Machines - The Next Generation of Evolving Intelligent Systems?, IEEE SMC newsletter, vol. 36, 2011. 
   

Journal Papers:

• Edwin Lughofer, A Dynamic Split-and-Merge Approach for Evolving Cluster Models, Evolving Systems (special issue on 'Dynamic Clustering'), to appear, 2012
   
• Edwin Lughofer, Hybrid Active Learning (HAL) for Reducing the Annotation Effort of Operators in Classification Systems, Pattern Recognition, vol. 45 (2), pp. 884-896, 2012, DOI: 10.1016/j.patcog.2011.08.009
   
• Carlos Cernuda, Edwin Lughofer, Wolfgang Maerzinger and Juergen Kasberger, NIR-based Quantification of Process Parameters in Polyetheracrylat (PEA) Production using Flexible Non-linear Fuzzy Systems, Chemometrics and Intelligent Laboratory Systems, vol. 109 (1), pp. 22-33, 2011,
  DOI: 10.1016/j.chemolab.2011.07.004
   
• Edwin Lughofer, Bogdan Trawinski, Krzysztof Trawinski, Olgierd Kempa, Tadeusz Lasota, On Employing Fuzzy Modeling Algorithms for the Valuation of Residential Premises, Information Sciences, vol. 181 (23), pp. 5123--5142, 2011,
  DOI: 10.1016/j.ins.2011.07.012
   
• Edwin Lughofer, Jean-Luc Bouchot and Ammar Shaker. On-line Elimination of Local Redundancies in Evolving Fuzzy Systems. Evolving Systems, vol. 2 (3), pp. 165--187, 2011, DOI: 10.1007/s12530-011-9032-3.
   
• Edwin Lughofer, Vicente Macian, Carlos Guardiola and Erich Peter Klement, Identifying Static and Dynamic Prediction Models for NOx Emissions with Evolving Fuzzy Systems, Applied Soft Computing, vol. 11(2), pp. 2487-2500, 2011, doi:10.1016/j.asoc.2010.10.004
   
• Edwin Lughofer, On-line Incremental Feature Weighting in Evolving Fuzzy Classifiers, Fuzzy Sets and Systems, vol 163 (1), pp. 1-23, 2011, doi:10.1016/j.fss.2010.08.012
   
• Edwin Lughofer* and Plamen Angelov, Handling Drifts and Shifts in On-Line Data Streams with Evolving Fuzzy Systems, Applied Soft Computing, vol. 11(2), pp. 2057-2068, 2011, doi:10.1016/j.asoc.2010.07.003
   
• Edwin Lughofer*, Stefan Kindermann, SparseFIS: Data-Driven Learning of Fuzzy Systems with Sparsity Contraints, IEEE Transactions on Fuzzy Systems, vol. 18 (2), pp. 396-411, 2010, doi:10.1109/TFUZZ.2010.2042960
   
• Werner Groissboeck, Edwin Lughofer*, Stefan Thumfart, Associating Visual Textures with Human Perceptions Using Genetic Algorithms, Information Sciences, vol. 180 (11), pp. 2065-2084, 2010, doi:10.1016/j.ins.2010.01.035
   
• Stefan Thumfart*, Richard Jacobs, Edwin Lughofer, Christian Eitzinger, Frans Cornelissen, Werner Groissboeck, Roland Richter, Modelling Human Aesthetic Perception of Visual Textures, ACM Transactions on Applied Perception, vol. 8 (4), 2011, DOI: 10.1145/2043603.2043609
   
• Edwin Lughofer, On-line Evolving Image Classifiers and Their Application to Surface Inspection, Image and Vision Computing (special issue of on-line pattern recognition and machine learning techniques for computer vision), Vol. 28 (7), pp. 1065-1079, 2010, DOI: 10.1016/j.imavis.2009.07.002
   
• Edwin Lughofer*, James E. Smith, Muhammad A. Tahir, Praminda Caleb-Solly, Christian Eitzinger, Davy Sannen and Marnix Nuttin, Human-Machine Interaction Issues in Quality Control Based on On-Line Image Classification, IEEE Transactions on Systems, Man and Cybernetics, part A: Systems and Humans, 2009, vol. 39 (5), pp. 960-971, DOI: 10.1109/TSMCA.2009.2025025
   
• Davy Sannen, Edwin Lughofer* and Hendrik van Brussel, Towards Incremental Classifier Fusion, Intelligent Data Analysis, Vol. 14 (1), pp. 3-30, 2010, DOI 10.3233/IDA-2009-0406
   
• Christian Eitzinger*, Wolfgang Heidl, Edwin Lughofer, Stefan Raiser, James E. Smith, Muhammad A. Tahir, Davy Sannen and Hendrik van Brussel, Assessment of the Influence of Adaptive Components in Trainable Surface Inspection Systems, Machine Vision and Applications, Vol. 21 (5), pp. 613-626, 2010, DOI 10.1007/s00138-009-0211-1
   
• Stefan Raiser, Edwin Lughofer*, Christian Eitzinger and James E. Smith, Impact of Object Extraction Methods on Classification Performance in Surface Inspection Systems,Machine Vision and Applications, vol. 21(5), pp. 627-641, 2010, DOI: 10.1007/s00138-009-0205-z
   

• Plamen Angelov, Edwin Lughofer*, Xiaowei Zhou. Evolving Fuzzy Classifiers using Different Model Architectures, Fuzzy Sets and Systems, vol.159 (23), pp. 3160-3182, 2008, doi:10.1016/j.fss.2008.06.019 (cited 32 times)
   
• Edwin Lughofer. FLEXFIS: A Robust Incremental Learning Approach for Evolving TS Fuzzy Models,IEEE Transactions on Fuzzy Systems, vol. 16 (6), pp. 1393-1410, 2008, doi 10.1109/TFUZZ.2008.925908 (cited 64 times)
   
• Edwin Lughofer. Extensions of Vector Quantization for Incremental Clustering. Pattern Recognition, vol. 41(3), pp. 995-1011, 2008, doi:10.1016/j.patcog.2007.07.019 (cited 54 times)
   
• Edwin Lughofer* and Carlos Guardiola. On-Line Fault Detection with Data-Driven Evolving Fuzzy Models. Control and Intelligent Systems, Vol. 36 (4), pp. 307-317, 2008
   
• Plamen Angelov* and Edwin Lughofer* , Data-Driven Evolving Fuzzy Systems using eTS and FLEXFIS: Comparative Analysis. International Journal of General Systems, vol. 37(01), pp. 45 - 67, 2008
   
• Plamen Angelov, Veniero Giglio, Carlos Guardiola, Edwin Lughofer*, and Jose Manuel Lujan. An approach to model-based fault detection in industrial measurement systems with application to engine test benches. Measurement Science and Technology, Vol. 17, pp.1809-1818, 2006.

* corresponding author(s)
 
 
Selected Conference Papers (2006-2011):  (Full List)
 

• Edwin Lughofer, Dynamic Evolving Cluster Models Using On-line Split-and-Merge Operations, Proc. of the 10th International Conference in Machine Learning and Applications (ICMLA) 2011, Honolulu, Hawaii, 2011, pp. 20--26, 2011.
   
• Edwin Lughofer, Eyke Hüllermeier, On-line Redundancy Deletion in Evolving Fuzzy Regression Models using a Fuzzy Inclusion Measure, Proceedings of the EUSFLAT-LFA Conference, Aix-Les-Bains, 2011, pp. 380--387.
   
• Edwin Lughofer, All-Pairs Evolving Fuzzy Classifiers for On-line Multi-Class
  Classification Problems, Proceedings of the EUSFLAT-LFA Conference, Aix-Les-Bains, 2011, pp. 372--379.
   
• Maryam Nasiri, Eyke Hüllermeier, Robin Senge, Edwin Lughofer, Comparing Methods for Knowledge-Driven and Data-Driven Fuzzy Modeling: A Case Study in Textile Industry, Proceedings of the IFSA World Congress, Surabaya and Bali Islands, Indonesia, 2011.
   
• Edwin Lughofer, Bogdan Trawiński, Krzysztof Trawiński, Tadeusz Lasota, On-line Valuation of Residential Premises with Evolving Fuzzy Models, Proceedings of the HAIS 2011 conference, LNAI 6678, Wroclaw, Poland, 2011, pp. 107-115.
   
• Wolfgang Heidl, Stefan Thumfart, Christian Eitzinger, Edwin Lughofer, Erich Peter Klement, Decision Tree-Based Analysis Suggests Structural Gender Differences in Visual Inspection, Proceedings of the IASTED Artificial Intelligence and Applications (AIA) Conference 2011, Innsbruck, Austria, pp. 142-149.
   
• Edwin Lughofer, On Dynamic Selection of the Most Informative Samples in Classification Problems, Proc. International Conference on Machine Learning and Applications (ICMLA) 2010, Washington DC, pp. 573-579
   
• Wolfgang Heidl, Stefan Thumfart, Edwin Lughofer, Christian Eitzinger, Erich Peter Klement, Classifier-Based Analysis of Visual Inspection: Gender Differences in Decision-Making, Proceedings of IEEE Conference on Systems, Man and Cybernetics, SMC 2010, pp. 113-120, Istanbul, 2010
   
• Edwin Lughofer, On Dynamic Soft Dimension Reduction in Evolving Fuzzy Classifiers, 13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010,  Lecture Notes in Artificial Intelligence, LNAI 6178 (eds. E. Huellermeier, R. Kruse and F. Hoffmann), pp. 79-88, Dortmund, 2010
   
• Edwin Lughofer, Vicente Macian, Carlos Guardiola, Erich Peter Klement, Data-Driven Design of Takagi-Sugeno Fuzzy Systems for Predicting NOx Emissions, 13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010, Part II (Applications), Communication in Computer and Information Science, CCIS 81 (eds. E. Huellermeier, R. Kruse and F. Hoffmann), pp. 1-10, Dortmund, 2010
   
• Davy Sannen, Edwin Lughofer, Hendrik van Brussel, Increasing Online Classification Performance Using Incremental Classifier Fusion, Proceedings of the International Conference on Adaptive and Intelligent Systems (ICAIS) 2009, pp. 101-107, Klagenfurt, Austria, 2009
   
• Edwin Lughofer and Stefan Kindermann13. Rule Weight Optimization and Feature Selection in Fuzzy Systems with Sparsity Constraints, Proceedings of the IFSA/EUSFLAT 2009 conference, Lisbon, Portugal, 2009, pp. 950-956
   
• Edwin Lughofer and Plamen Angelov1. Detecting and Reacting on Drifts and Shifts in Online Data Streams with Evolving Fuzzy Systems, Proceedings of the IFSA/EUSFLAT 2009 conference, Lisbon, Portugal, 2009, pp. 931-937
   
• Edwin Lughofer and Roland Richter. An Adaptive Image Classification Framework for On-Line Surface Inspection, to appear in the Proceedings of the QCAV (Quality Control by Artificial Vision) 2009 conference, Wels, Austria, 2009
   
• Edwin Lughofer, James E. Smith11, Muhammad A. Tahir11, Praminda Caleb-Solly11, Christian Eitzinger12, Davy Sannen10, Hendrik van Brussels10. On Human-Machine Interaction During Online Image Classifier Training, Proc. of the International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA), pp. 995-1001, Vienna, 2008
   
• Edwin Lughofer. Evolving Vector Quantization for Classification of On-Line Data Streams, Proc. of the International Coference on Computational Intelligence for Modelling, Control and Automation (CIMCA), pp. 780-786, Vienna, 2008
   
• Holger Schoener, Bernhard Moser and Edwin Lughofer. On Preprocessing Multi-Channel Data for Online Process Monitoring, Proc. of the International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA), pp. 414-420, Vienna, 2008
   
• Edwin Lughofer and Stefan Kindermann. Improving the Robustness of Data-Driven Fuzzy Systems with Regularization, in Proc. of the IEEE World Congress on Computational Intelligence (WCCI) 2008, Hongkong, pp. 703-709, 2008
   
• Christian Eitzinger, M. Gmainer, Wolfgang Heidl and Edwin Lughofer. Increasing Classification Robustness with Adaptive Features, in International Conference on Computer Vision Systems 2008, A. Gasteratos, M. Vincze, J.K. Tsotsos (Eds.), Springer Lecture Notes 5008, pp. 445-453, Santorini Island, Greece
   
• D. Sannen, M. Nuttin, J.E. Smith, M.A. Tahir, P. Caleb-Solly, E. Lughofer, C. Eitzinger. An On-Line Self-Adaptive and Interactive Image Classification Framework, in International Conference on Computer Vision Systems 2008, A. Gasteratos, M. Vincze, J.K. Tsotsos (Eds.), Springer Lecture Notes 5008, pp. 171-180, Santorini Island, Greece
   
• Edwin Lughofer and Carlos Guardiola. Applying Evolving Fuzzy Models with Adaptive Local Error Bars to On-Line Fault Detection, in Proc. of the 3rd International Workshop on Genetic and Evolving Fuzzy Systems, GEFS 2008, pp. 35-40, Witten-Bommerholz (Germany) (awarded as best paper finalist)
   
• Edwin Lughofer, Plamen Angelov and Xiaowei Zhou. Evolving single- and multi-model fuzzy classifiers with FLEXFIS-CLASS, in Proceedings of FUZZ-IEEE 2007, pp. 363-368, London, UK, 2007
   
• Plamen Angelov, Xiaowei Zhou, Edwin Lughofer and Dimitar Filev. Architectures for evolving fuzzy rule-based classifiers, in Proc. Systems, Man and Cybernetics conference (SMC) 2007, pp. 2050-2055, Montreal, Canada, 2007
   
• Edwin Lughofer. Process safety enhancements for data-driven evolving fuzzy models. In Proceedings of the International Symposium on Evolving Fuzzy Systems (EFS), pp. 42-48, Lake District, UK, September 2006 (awarded as best paper)
   
• Janos Botzheim, Edwin Lughofer, Erich Peter Klement, Laszlo Koczy, and T.D. Gedeon. Separated antecedent and consequent learning for takagi-sugeno fuzzy systems. In Proceedings of IEEE World Congress on Computational Intelligence (WCCI) 2006, pp. 2263-2269, Vancouver, Canada, 2006.
   
• Edwin Lughofer and Ulrich Bodenhofer. Incremental learning of fuzzy basis function networks with a modified version of vector quantization. In Proceedings of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU) 2006, pp. 56-63, Paris, France, 2006.

 
Research Visits/Stays:

• January and November 2011: Institute for Computational Intelligence and Bioinformatics, Phillips University Marburg
• August 2008:  Fraunhofer Institut Techno- und Wirtschaftmathematik, University Kaiserlautern
• January 2008: Institute for Computational Intelligence and Bioinformatics, Phillips University Marburg
• November 2007:  Center for Bioimage Informatics and Departments of Biological Sciences, Biomedical Engineering, and Machine Learning Carnegie Mellon University, Pittsburgh, Pennsylvania, U.S.A.
• September 2006 and May 2007:  Department of Communication Systems, InfoLab21, Lancaster University
• January 2006: Faculty for Informatics (ITI), Otto-von-Guericke-University