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402 Publications


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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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: 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 | 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 | 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 | 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 | 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: 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 | 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 | 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 | 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 | 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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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 | 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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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 | 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: 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: 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: 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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