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448 Publications


2009 | Journal Article | LibreCat-ID: 16159
E. Hüllermeier and S. Vanderlooy, “Why fuzzy decision trees are good rankers,” IEEE Transactions on Fuzzy Systems, vol. 17, no. 6, pp. 1233–1244, 2009.
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2009 | Journal Article | LibreCat-ID: 16161
Y. Yi, T. Fober, and E. Hüllermeier, “Fuzzy operator trees for modeling rating functions,” International Journal of Computational Intelligence and Applications, vol. 8, no. 4, pp. 413–428, 2009.
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2009 | Journal Article | LibreCat-ID: 16162
T. Fober, M. Mernberger, G. Klebe, and E. Hüllermeier, “Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules,” Bioinformatics, vol. 25, no. 16, pp. 2110–2117, 2009.
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2009 | Journal Article | LibreCat-ID: 16163
J. Hühn and E. Hüllermeier, “FR3: A fuzzy rule learner for inducing reliable classifiers,” IEEE Transactions on Fuzzy Systems, vol. 17, no. 1, pp. 138–149, 2009.
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2009 | Journal Article | LibreCat-ID: 16165
E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, and E. Stauch, “Supporting case-based retrieval by similarity skylines: Basic concepts and extensions,” Künstliche Intelligenz, vol. 1, no. 09, pp. 24–29, 2009.
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2009 | Book Chapter | LibreCat-ID: 10188
E. Hüllermeier, “On the usefulness of fuzzy sets in data mining,” in Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications, R. Seising, Ed. Springer, 2009, pp. 457–470.
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2009 | Conference Paper | LibreCat-ID: 13595
W. Cheng, J. Hühn, and E. Hüllermeier, “Decision tree and instance-based learning for label ranking,” in in Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada, 2009, pp. 161–168.
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2009 | Conference Paper | LibreCat-ID: 13596
J. Fürnkranz, E. Hüllermeier, and S. Vanderlooy, “Binary decomposition methods for multipartite ranking,” in In Proceedings ECML/PKDD-2009, European Conference on Machine Learning and Principles and Knowledge Discovery in Databases, Bled Sloveniaery in Databases, Bled, Slovenia, 2009.
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2009 | Conference Paper | LibreCat-ID: 13598
W. Cheng and E. Hüllermeier, “A new instance-based label ranking approach using the Mallows model. In Advances in Neural Networks,” in in Proceedings 6th International Symposium on Neural Networks, Wuhan, China, 2009, no. LNCS 5551, pp. 707–716.
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2008 | Conference Paper | LibreCat-ID: 15779
E. Hüllermeier and S. Vanderlooy, “Weighted voting as approximate MAP prediction in pairwise classification,” in In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 34–41.
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2008 | Conference Paper | LibreCat-ID: 15780
T. Fober, E. Hüllermeier, and M. Mernberger, “Evolutionary construction of multiple graph alignments for mining structured biomolecular data ,” in In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 27–33.
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2008 | Conference Paper | LibreCat-ID: 15781
T. Fober, E. Hüllermeier, and M. Mernberger, “Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules,” in iIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008, 2008, pp. 44–53.
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2008 | Journal Article | LibreCat-ID: 16164
J. Hühn and E. Hüllermeier, “Is an ordinal class structure useful in classifier learning?,” International Journal of Data Mining, Modeling and Management , vol. 1, no. 1, pp. 45–67, 2008.
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2008 | Journal Article | LibreCat-ID: 16166
E. Hüllermeier, J. Fürnkranz, W. Cheng, and K. Brinker, “Label ranking by learning pairwise preferences,” Artificial Intelligence, vol. 172, pp. 1897–1917, 2008.
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2008 | Journal Article | LibreCat-ID: 16167
S. Vanderlooy and E. Hüllermeier, “A critical analysis of variants of the AUC,” Machine Learning, vol. 72, pp. 247–272, 2008.
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2008 | Journal Article | LibreCat-ID: 16168
J. Fürnkranz, E. Hüllermeier, E. Mencia, and K. Brinker, “Multilabel classification via calibrated label ranking,” Machine Learning, vol. 73, no. 2, pp. 133–153, 2008.
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2008 | Journal Article | LibreCat-ID: 16169
E. Hüllermeier and K. Brinker, “Learning valued preference structures for solving classification problems,” Fuzzy Sets and Systems, vol. 159, no. 18, pp. 2337–2352, 2008.
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2008 | Journal Article | LibreCat-ID: 16184
J. Beringer and E. Hüllermeier, “Case-based learning in a bipolar possibilistic framework,” International Journal of Intelligent Systems, vol. 23, no. 10, pp. 1119–1134, 2008.
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2008 | Book Chapter | LibreCat-ID: 16225
E. Hüllermeier, “Granular computing in machine learning and data mining,” in Handbook on Granular Computing, W. Pedrycz, A. Skowron, and V. Kreinovich, Eds. John Wiley and Sons, 2008, pp. 889–906.
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2008 | Book Chapter | LibreCat-ID: 10154
E. Hüllermeier, “Fuzzy methods in data mining,” in Encyclopedia of Data Warehousing and Mining - Second Edition, Idea Group, Inc.,Hershey, USA, 2008, pp. 907–912.
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2008 | Book Chapter | LibreCat-ID: 10185
E. Hüllermeier and J. Fürnkranz, “Learning preference models from data: On the problem of label ranking and its variants,” in Preferences and Similarities, G. Della Riccia, D. Dubois, R. Kruse, and H. J. Lenz, Eds. Springer, 2008, pp. 283–304.
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2008 | Conference Paper | LibreCat-ID: 13599
E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, and E. Stauch, “Supporting case-based retrieval by similarity skylines: Basic concepts and extensions,” in in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, 2008, no. LNAI 5239, pp. 240–254.
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2008 | Conference Paper | LibreCat-ID: 13600
W. Cheng and E. Hüllermeier, “Learning similarity functions from qualitative feedback,” in in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, 2008, no. LNAI 5239, pp. 120–134.
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2007 | Conference Paper | LibreCat-ID: 15782
W. Cheng, E. Hüllermeier, B. Seeger, and I. Vladimirskiy, “Interactive ranking of skylines using machine learning techniques,” in In Proceedings Workshop LWA-2007, Lernen-Wissensentdeckung-Adaptivität, Halle/Saale, Germany, 2007, pp. 141–148.
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2007 | Conference Paper | LibreCat-ID: 15783
T. Fober, E. Hüllermeier, and M. Mernberger, “Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules,” in in Proceedings 17th Workshop Computational Intelligence, Dortmund Germany, 2007, pp. 1–14.
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2007 | Conference Paper | LibreCat-ID: 15784
I. Vladimirskiy, E. Hüllermeier, and E. Stauch, “Similarity search over uncertain archaeological data using a modified skyline operator,” in In Workshop Proceedings from ICCBR-2007 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, 2007, pp. 31–40.
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2007 | Conference Paper | LibreCat-ID: 14832
E. Hüllermeier and J. Fürnkranz, “On minimizing the position error in label ranking,” in In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007, 2007.
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2007 | Conference Paper | LibreCat-ID: 14833
K. Brinker and E. Hüllermeier, “Label ranking in case-based reasoning,” in In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, 2007, vol. 4626, pp. 77–91.
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2007 | Conference Paper | LibreCat-ID: 14834
J. Beringer and E. Hüllermeier, “Efficient instance-based learning on data streams,” in In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig, 2007, pp. 34–48.
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2007 | Conference Paper | LibreCat-ID: 14835
K. Brinker and E. Hüllermeier, “Case-based multilabel ranking,” in in Proceedings IJCAI-07, 20th international Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007, 2007, pp. 701–707.
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2007 | Conference Paper | LibreCat-ID: 15197
E. Hüllermeier and K. Brinker, “Fuzzy-relational classificaton : Combining pairwise decomposition techniques with fuzzy preference modeling,” in in Proceedings EUSFLAT-2007 5th International Conference on the European Society for Fuzzy Logic and Technology, Ostrava, Czech Republic, 2007, vol. 1, pp. 353–360.
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2007 | Conference Paper | LibreCat-ID: 15198
J. Beringer and E. Hüllermeier, “Adaptive optimization of the number of clusters in fuzzy clustering, London 2007,” in in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, 2007.
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2007 | Conference Paper | LibreCat-ID: 15199
E. Hüllermeier, N. Weskamp, G. Klebe, and D. Kuhn, “Graph alignment: Fuzzy pattern mining for the structural analysis of protein active sites,” in in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, London, 2007.
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2007 | Journal Article | LibreCat-ID: 16170
E. Hüllermeier and Y. Yi, “In defense of fuzzy association analysis,” IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, vol. 37, no. 4, pp. 1039–1043, 2007.
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2007 | Journal Article | LibreCat-ID: 16171
E. Hüllermeier, “Credible case-based inference using similarity profiles,” IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 5, pp. 847–858, 2007.
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2007 | Journal Article | LibreCat-ID: 16172
J. Beringer and E. Hüllermeier, “Efficient instance-based learning on data streams,” Intelligent Data Analysis, vol. 11, no. 6, pp. 627–650, 2007.
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2007 | Journal Article | LibreCat-ID: 16175
D. Dubois and E. Hüllermeier, “Comparing probability measures using possibility theory: A notion of relative peakedness,” International Journal of Approximate Reasoning, vol. 45, no. 2, pp. 364–385, 2007.
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2007 | Journal Article | LibreCat-ID: 16179
N. Weskamp, E. Hüllermeier, D. Kuhn, and G. Klebe, “Multiple graph aligment for the structural analysis of protein active sites,” IEEE/ACM Transactions of Computational Biology and Bioinformatics, vol. 4, no. 2, pp. 310–320, 2007.
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2007 | Journal Article | LibreCat-ID: 16194
I. Karimi and E. Hüllermeier, “Risk assessment for natural hazards: A new approach based on fuzzy probability,” Fuzzy Sets and Systems, vol. 158, no. 9, pp. 987–999, 2007.
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2007 | Book Chapter | LibreCat-ID: 16224
E. Hüllermeier, “Why fuzzy set theory is useful in data mining,” in Successes and New Directions in Data Mining, F. Masseglia, P. Poncelet, and M. Teisseire, Eds. Information Science Reference, Hershey, New York, 2007, pp. 1–16.
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2007 | Book Chapter | LibreCat-ID: 16226
J. Beringer and E. Hüllermeier, “Fuzzy clustering of parallel data streams,” in Advances in Fuzzy Clustering and its Applications , J. Valente de Oliveira and W. Pedrycz, Eds. John Wiley and Sons, 2007, pp. 333–352.
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2007 | Book Chapter | LibreCat-ID: 16227
E. Hüllermeier, “Fuzzy methods for data mining and machine learning: State of the art and prospects,” in Fuzzy Sets and their Extensions: Representation, Aggregation and Models, Springer, 2007, pp. 355–374.
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2007 | Book | LibreCat-ID: 16282
E. Hüllermeier, Case-based Approximate Reasoning, vol. 44. Springer, 2007.
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2007 | Conference Paper | LibreCat-ID: 13601
J. N. Sulzmann, J. Fürnkranz, and E. Hüllermeier, “On pairwise Naive Bayes classifiers,” in In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, 2007.
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2006 | Conference Paper | LibreCat-ID: 15785
J. Beringer and E. Hüllermeier, “Adaptive optimization of the number of clusters in fuzzy clustering, Dortmund, Germany 2006,” in in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, 2006, pp. 140–149.
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2006 | Conference Paper | LibreCat-ID: 15786
E. Hüllermeier and K. Brinker, “Classification via fuzzy preference learning,” in in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, 2006, pp. 190–199.
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2006 | Conference Paper | LibreCat-ID: 15798
E. Hüllermeier, “Credible case-based inference using similarity profiles,” in In Proceedings of ECCBR-2006 Workshops, 8th European Conference on Case-Based Reasoning, Ölüdeniz/Fethiye Turkey, 2006, pp. 230–242.
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2006 | Conference Paper | LibreCat-ID: 14836
K. Bade, E. Hüllermeier, and A. Nürnberger, “Hierarchical classification by expected utility maximization,” in In Proceedings ICDM-2006, IEEE International Conference on Data Mining, 2006, pp. 43–52.
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2006 | Conference Paper | LibreCat-ID: 14837
K. Brinker and E. Hüllermeier, “Case-based label ranking,” in In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006, 2006, pp. 566–573.
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2006 | Conference Paper | LibreCat-ID: 14838
K. Brinker, J. Fuernkranz, and E. Hüllermeier, “A unified model for multilabel classification and ranking,” in In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva del Garda, Italy, 2006, pp. 489–493.
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