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448 Publications


2009 | Journal Article | LibreCat-ID: 16159
Why fuzzy decision trees are good rankers
E. Hüllermeier, S. Vanderlooy, IEEE Transactions on Fuzzy Systems 17 (2009) 1233–1244.
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2009 | Journal Article | LibreCat-ID: 16161
Fuzzy operator trees for modeling rating functions
Y. Yi, T. Fober, E. Hüllermeier, International Journal of Computational Intelligence and Applications 8 (2009) 413–428.
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2009 | Journal Article | LibreCat-ID: 16162
Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules
T. Fober, M. Mernberger, G. Klebe, E. Hüllermeier, Bioinformatics 25 (2009) 2110–2117.
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2009 | Journal Article | LibreCat-ID: 16163
FR3: A fuzzy rule learner for inducing reliable classifiers
J. Hühn, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 17 (2009) 138–149.
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2009 | Journal Article | LibreCat-ID: 16165
Supporting case-based retrieval by similarity skylines: Basic concepts and extensions
E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, E. Stauch, Künstliche Intelligenz 1 (2009) 24–29.
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2009 | Book Chapter | LibreCat-ID: 10188
On the usefulness of fuzzy sets in data mining
E. Hüllermeier, in: R. Seising (Ed.), Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications, Springer, 2009, pp. 457–470.
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2009 | Conference Paper | LibreCat-ID: 13595
Decision tree and instance-based learning for label ranking
W. Cheng, J. Hühn, E. Hüllermeier, 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
Binary decomposition methods for multipartite ranking
J. Fürnkranz, E. Hüllermeier, S. Vanderlooy, 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
A new instance-based label ranking approach using the Mallows model. In Advances in Neural Networks
W. Cheng, E. Hüllermeier, in: In Proceedings 6th International Symposium on Neural Networks, Wuhan, China, Springer, 2009, pp. 707–716.
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2008 | Conference Paper | LibreCat-ID: 15779
Weighted voting as approximate MAP prediction in pairwise classification
E. Hüllermeier, S. Vanderlooy, 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
Evolutionary construction of multiple graph alignments for mining structured biomolecular data
T. Fober, E. Hüllermeier, M. Mernberger, 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
Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules
T. Fober, E. Hüllermeier, M. Mernberger, in: A. Beyer, M. Schroeder (Eds.), IIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008, 2008, pp. 44–53.
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2008 | Journal Article | LibreCat-ID: 16164
Is an ordinal class structure useful in classifier learning?
J. Hühn, E. Hüllermeier, International Journal of Data Mining, Modeling and Management 1 (2008) 45–67.
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2008 | Journal Article | LibreCat-ID: 16166
Label ranking by learning pairwise preferences
E. Hüllermeier, J. Fürnkranz, W. Cheng, K. Brinker, Artificial Intelligence 172 (2008) 1897–1917.
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2008 | Journal Article | LibreCat-ID: 16167
A critical analysis of variants of the AUC
S. Vanderlooy, E. Hüllermeier, Machine Learning 72 (2008) 247–272.
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2008 | Journal Article | LibreCat-ID: 16168
Multilabel classification via calibrated label ranking
J. Fürnkranz, E. Hüllermeier, E. Mencia, K. Brinker, Machine Learning 73 (2008) 133–153.
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2008 | Journal Article | LibreCat-ID: 16169
Learning valued preference structures for solving classification problems
E. Hüllermeier, K. Brinker, Fuzzy Sets and Systems 159 (2008) 2337–2352.
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2008 | Journal Article | LibreCat-ID: 16184
Case-based learning in a bipolar possibilistic framework
J. Beringer, E. Hüllermeier, International Journal of Intelligent Systems 23 (2008) 1119–1134.
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2008 | Book Chapter | LibreCat-ID: 16225
Granular computing in machine learning and data mining
E. Hüllermeier, in: W. Pedrycz, A. Skowron, V. Kreinovich (Eds.), Handbook on Granular Computing, John Wiley and Sons, 2008, pp. 889–906.
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2008 | Book Chapter | LibreCat-ID: 10154
Fuzzy methods in data mining
E. Hüllermeier, in: Encyclopedia of Data Warehousing and Mining - Second Edition, Idea Group, Inc.,Hershey, USA, 2008, pp. 907–912.
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