Eyke Hüllermeier

Eyke Hüllermeier, born in 1969, holds M.S. degree in mathematics and business computing, both from the University of Paderborn, Germany. From the Computer Science Department of the same university, he obtained his Ph.D. degree in 1997 and a Habilitation degree in 2002. In the period 1998–2000, he spent two years as a Visiting Scientist at the Institut de Recherche en Informatique de Toulouse, France, and held appointments at the Universities of Dortmund, Marburg, and Magdeburg afterwards. Recently, he joined the Department of Mathematics and Computer Science at Marburg University, Germany, where he holds a chair and heads the Knowledge Engineering and Bioinformatics Lab. Professor Hüllermeier's research interests include methodical foundations of machine learning and data mining, fuzzy set theory, and applications in bioinformatics. He has published numerous research papers in respective journals and major international conferences. Professor Hüllermeier is a Member of the IEEE, the IEEE Computational Intelligence Society, and a board member of the European Society for Fuzzy Logic and Technology (EUSFLAT). Moreover, he is an Area Editor of the journal Fuzzy Sets and Systems, and a member of the editorial board of Soft Computing.

Biography Updated on 21 October 2007

Articles in Scholarly Journals [Incomplete List]

  1. Risk assessment system of natural hazards: A new approach based on fuzzy probability
    Fuzzy Sets and Systems, vol. 158, no. 9, pp. 987–999, 2007
  2. Comparing probability measures using possibility theory: A notion of relative peakedness?
    International Journal of Approximate Reasoning, vol. 45, no. 2, pp. 364–385, 2007
  3. Credible Case-Based Inference Using Similarity Profiles
    IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 6, pp. 847–858, 2007
  4. In Defense of Fuzzy Association Analysis
    IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol. 37, no. 4, pp. 1039–1043, 2007
  5. From the Similarity Analysis of Protein Cavities to the Functional Classification of Protein Families Using Cavbase
    Journal of Molecular Biology, vol. 359, no. 4, pp. 1023–1044, 2006
  6. Physicochemical descriptors to discriminate protein–protein interactions in permanent and transient complexes selected by means of machine learning algorithms
    Proteins: Structure, Function, and Bioinformatics, vol. 65, no. 3, pp. 607–622, 2006
  7. A fuzzy-probabilistic earthquake risk assessment system
    Soft Computing, vol. 11, no. 3, pp. 229–238, 2006
  8. Special Issue on Soft Computing for Information Mining
    Soft Computing, vol. 11, no. 5, pp. 397–399, 2006
  9. A systematic approach to the assessment of fuzzy association rules
    Data Mining and Knowledge Discovery, vol. 13, no. 2, pp. 167–192, 2006
  10. Fuzzy methods for case-based recommendation and decision support
    Journal of Intelligent Information Systems, vol. 27, no. 2, pp. 95–115, 2006
  11. Online clustering of parallel data streams
    Data & Knowledge Engineering, vol. 58, no. 2, pp. 180–204, 2006
  12. Fuzzy methods in machine learning and data mining: Status and prospects
    Fuzzy Sets and Systems, vol. 156, no. 3, pp. 387–406, 2005
  13. Experience-Based Decision Making: A Satisficing Decision Tree Approach
    IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol. 35, no. 5, pp. 641–653, 2005
  14. Flexible constraints for regularization in learning from data
    International Journal of Intelligent Systems, vol. 19, no. 6, pp. 525–541, 2004
  15. Efficient similarity search in protein structure databases by k-clique hashing
    Bioinformatics, vol. 20, no. 10, pp. 1522–1526, 2004
  16. Clustering of gene expression data using a local shape-based similarity measure
    Bioinformatics, vol. 21, no. 7, pp. 1069–1077, 2004
  17. Possibilistic instance-based learning
    Artificial Intelligence, vol. 148, no. 1-2, pp. 335–383, 2003
  18. On the representation of fuzzy rules in terms of crisp rules
    Information Sciences, vol. 151, pp. 301–326, 2003
  19. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 11, no. 1, p. 43, 2003
  20. Fuzzy set-based methods in instance-based reasoning
    IEEE Transactions on Fuzzy Systems, vol. 10, no. 3, pp. 322–332, 2002
  21. Model adaptation in possibilistic instance-based reasoning
    IEEE Transactions on Fuzzy Systems, vol. 10, no. 3, pp. 333–339, 2002
  22. Similarity-based inference as evidential reasoning
    International Journal of Approximate Reasoning, vol. 26, no. 2, pp. 67–100, 2001
  23. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 7, no. 5, p. 439, 1999
  24. Approximation of uncertain functional relationships
    Fuzzy Sets and Systems, vol. 101, no. 2, pp. 227–240, 1999
  25. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 5, no. 2, p. 117, 1997