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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 17, no. 6 (2009): 1233–44.
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2009 | Journal Article | LibreCat-ID: 16161
Yi, Y., T. Fober, and Eyke Hüllermeier. “Fuzzy Operator Trees for Modeling Rating Functions.” International Journal of Computational Intelligence and Applications 8, no. 4 (2009): 413–28.
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2009 | Journal Article | LibreCat-ID: 16162
Fober, T., M. Mernberger, G. Klebe, and Eyke Hüllermeier. “Evolutionary Construction of Multiple Graph Alignments for the Structural Analysis of Biomolecules.” Bioinformatics 25, no. 16 (2009): 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 17, no. 1 (2009): 138–49.
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2009 | Journal Article | LibreCat-ID: 16165
Hüllermeier, Eyke, I. Vladimirskiy, B. Prados Suarez, and E. Stauch. “Supporting Case-Based Retrieval by Similarity Skylines: Basic Concepts and Extensions.” Künstliche Intelligenz 1, no. 09 (2009): 24–29.
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2009 | Book Chapter | LibreCat-ID: 10188
Hüllermeier, Eyke. “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, edited by R. Seising, 457–70. Springer, 2009.
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2009 | Conference Paper | LibreCat-ID: 13595
Cheng, W., J. Hühn, and Eyke Hüllermeier. “Decision Tree and Instance-Based Learning for Label Ranking.” In In Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada, 161–68, 2009.
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2009 | Conference Paper | LibreCat-ID: 13596
Fürnkranz, J., Eyke 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
Cheng, W., and Eyke 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, 707–16. Springer, 2009.
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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 In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 34–41, 2008.
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2008 | Conference Paper | LibreCat-ID: 15780
Fober, T., Eyke 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, 27–33, 2008.
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2008 | Conference Paper | LibreCat-ID: 15781
Fober, T., Eyke 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, edited by A. Beyer and M. Schroeder, 44–53, 2008.
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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 1, no. 1 (2008): 45–67.
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2008 | Journal Article | LibreCat-ID: 16166
Hüllermeier, Eyke, J. Fürnkranz, W. Cheng, and K. Brinker. “Label Ranking by Learning Pairwise Preferences.” Artificial Intelligence 172 (2008): 1897–1917.
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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 72 (2008): 247–72.
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2008 | Journal Article | LibreCat-ID: 16168
Fürnkranz, J., Eyke Hüllermeier, E. Mencia, and K. Brinker. “Multilabel Classification via Calibrated Label Ranking.” Machine Learning 73, no. 2 (2008): 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 159, no. 18 (2008): 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 23, no. 10 (2008): 1119–34.
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2008 | Book Chapter | LibreCat-ID: 16225
Hüllermeier, Eyke. “Granular Computing in Machine Learning and Data Mining.” In Handbook on Granular Computing, edited by W. Pedrycz, A. Skowron, and V. Kreinovich, 889–906. John Wiley and Sons, 2008.
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2008 | Book Chapter | LibreCat-ID: 10154
Hüllermeier, Eyke. “Fuzzy Methods in Data Mining.” In Encyclopedia of Data Warehousing and Mining - Second Edition, 907–12. Idea Group, Inc.,Hershey, USA, 2008.
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