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402 Publications


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 | Conference Paper | LibreCat-ID: 15120
T. Fober, G. Klebe, and E. Hüllermeier, “Efficient construction of multiple geometrical alignments for the comparison of protein binding sites,” in in Proceedings ISDA-2009, 9th international Conference on Intelligent Systems Design and Applications, Pisa, Italy, 2009, pp. 1251–1256.
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2009 | Conference Paper | LibreCat-ID: 15776
R. Senge and E. Hüllermeier, “Learning pattern tree classifiers using a co-evolutionary algorithm,” in In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 2009, pp. 105–110.
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2009 | Journal Article | LibreCat-ID: 16154
N. Weskamp, E. Hüllermeier, and G. Klebe, “Merging chemical and biological space: Structural mapping of enzyme binding pocket space,” Proteins, vol. 76, no. 2, pp. 317–330, 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: 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 | Conference Paper | LibreCat-ID: 15194
I. Boukhris, Z. Elouedi, T. Fober, M. Mernberger, and E. Hüllermeier, “Similarity analysis of protein binding sites: A generalization of the maximum common subgraph measure based on quasi-clique detection,” in In Proceedings IDA-2009, 9th International Symposium on Intelligent Data Analysis, Pisa / Italy, 2009, pp. 1245–1250.
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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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2009 | Conference Paper | LibreCat-ID: 15195
T. Fober and E. Hüllermeier, “Fuzzy modeling of labeled point cloud superposition  for the comparison of protein binding sites,” in in Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal, 2009, pp. 1299–1304.
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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 | 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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