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448 Publications


2009 | Journal Article | LibreCat-ID: 16159
Hüllermeier, Eyke, and S. Vanderlooy. “Why Fuzzy Decision Trees Are Good Rankers.” IEEE Transactions on Fuzzy Systems, vol. 17, no. 6, 2009, pp. 1233–44.
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2009 | Journal Article | LibreCat-ID: 16161
Yi, Y., et al. “Fuzzy Operator Trees for Modeling Rating Functions.” International Journal of Computational Intelligence and Applications, vol. 8, no. 4, 2009, pp. 413–28.
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2009 | Journal Article | LibreCat-ID: 16162
Fober, T., et al. “Evolutionary Construction of Multiple Graph Alignments for the Structural Analysis of Biomolecules.” Bioinformatics, vol. 25, no. 16, 2009, pp. 2110–17.
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2009 | Journal Article | LibreCat-ID: 16163
Hühn, J., and Eyke Hüllermeier. “FR3: A Fuzzy Rule Learner for Inducing Reliable Classifiers.” IEEE Transactions on Fuzzy Systems, vol. 17, no. 1, 2009, pp. 138–49.
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2009 | Journal Article | LibreCat-ID: 16165
Hüllermeier, Eyke, et al. “Supporting Case-Based Retrieval by Similarity Skylines: Basic Concepts and Extensions.” Künstliche Intelligenz, vol. 1, no. 09, 2009, pp. 24–29.
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2009 | Book Chapter | LibreCat-ID: 10188
Hüllermeier, Eyke. “On the Usefulness of Fuzzy Sets in Data Mining.” Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications, edited by R. Seising, Springer, 2009, pp. 457–70.
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2009 | Conference Paper | LibreCat-ID: 13595
Cheng, W., et al. “Decision Tree and Instance-Based Learning for Label Ranking.” In Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada, 2009, pp. 161–68.
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2009 | Conference Paper | LibreCat-ID: 13596
Fürnkranz, J., et al. “Binary Decomposition Methods for Multipartite Ranking.” 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
Cheng, W., and Eyke Hüllermeier. “A New Instance-Based Label Ranking Approach Using the Mallows Model. In Advances in Neural Networks.” In Proceedings 6th International Symposium on Neural Networks, Wuhan, China, no. LNCS 5551, Springer, 2009, pp. 707–16.
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2008 | Conference Paper | LibreCat-ID: 15779
Hüllermeier, Eyke, and S. Vanderlooy. “Weighted Voting as Approximate MAP Prediction in Pairwise Classification.” In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 34–41.
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2008 | Conference Paper | LibreCat-ID: 15780
Fober, T., et al. “Evolutionary Construction of Multiple Graph Alignments for Mining Structured Biomolecular Data .” In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 27–33.
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2008 | Conference Paper | LibreCat-ID: 15781
Fober, T., et al. “Evolutionary Construction of Multiple Graph Alignments for the Structural Analysis of Biomolecules.” IIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008, edited by A. Beyer and M. Schroeder, 2008, pp. 44–53.
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2008 | Journal Article | LibreCat-ID: 16164
Hühn, J., and Eyke Hüllermeier. “Is an Ordinal Class Structure Useful in Classifier Learning?” International Journal of Data Mining, Modeling and Management , vol. 1, no. 1, 2008, pp. 45–67.
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2008 | Journal Article | LibreCat-ID: 16166
Hüllermeier, Eyke, et al. “Label Ranking by Learning Pairwise Preferences.” Artificial Intelligence, vol. 172, 2008, pp. 1897–917.
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2008 | Journal Article | LibreCat-ID: 16167
Vanderlooy, S., and Eyke Hüllermeier. “A Critical Analysis of Variants of the AUC.” Machine Learning, vol. 72, 2008, pp. 247–72.
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2008 | Journal Article | LibreCat-ID: 16168
Fürnkranz, J., et al. “Multilabel Classification via Calibrated Label Ranking.” Machine Learning, vol. 73, no. 2, 2008, pp. 133–53.
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2008 | Journal Article | LibreCat-ID: 16169
Hüllermeier, Eyke, and K. Brinker. “Learning Valued Preference Structures for Solving Classification Problems.” Fuzzy Sets and Systems, vol. 159, no. 18, 2008, pp. 2337–52.
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2008 | Journal Article | LibreCat-ID: 16184
Beringer, J., and Eyke Hüllermeier. “Case-Based Learning in a Bipolar Possibilistic Framework.” International Journal of Intelligent Systems, vol. 23, no. 10, 2008, pp. 1119–34.
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2008 | Book Chapter | LibreCat-ID: 16225
Hüllermeier, Eyke. “Granular Computing in Machine Learning and Data Mining.” Handbook on Granular Computing, edited by W. Pedrycz et al., John Wiley and Sons, 2008, pp. 889–906.
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2008 | Book Chapter | LibreCat-ID: 10154
Hüllermeier, Eyke. “Fuzzy Methods in Data Mining.” Encyclopedia of Data Warehousing and Mining - Second Edition, Idea Group, Inc.,Hershey, USA, 2008, pp. 907–12.
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