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449 Publications
2010 | Conference Paper | LibreCat-ID: 15119
R. Senge and E. Hüllermeier, “Pattern trees for regression and fuzzy systems modeling,” in in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
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2010 | Journal Article | LibreCat-ID: 16121
P. Pfeffer, T. Fober, E. Hüllermeier, and G. Klebe, “GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm,” Journal of Chemical Information and Modeling, vol. 50, no. 9, pp. 1644–1659, 2010.
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2010 | Journal Article | LibreCat-ID: 16151
E. Hüllermeier and S. Vanderlooy, “Combining predictions in pairwise classification: An optimal adaptive voting strategy and its relation to weighted voting,” Pattern Recognition, vol. 43, no. 1, pp. 128–142, 2010.
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2010 | Journal Article | LibreCat-ID: 16152
E. Hüllermeier and J. Fürnkranz, “On predictive accuracy and risk minimization in pairwise label ranking,” Journal of Computer and System Sciences, vol. 76, no. 1, pp. 49–62, 2010.
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2010 | Conference Paper | LibreCat-ID: 13589
K. Dembczynski, W. Cheng, and E. Hüllermeier, “Bayes optimal multilabel classification via probalistic classifier chains,” in in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 279–286.
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2010 | Conference Paper | LibreCat-ID: 13590
W. Cheng, K. Dembczynski, and E. Hüllermeier, “Label ranking based on the Plackett-Luce model,” in in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 215–222.
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2010 | Conference Paper | LibreCat-ID: 13591
W. Cheng, K. Dembczynski, and E. Hüllermeier, “Graded multi-label classification: The ordinal case,” in in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010.
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2010 | Conference Paper | LibreCat-ID: 13593
K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, “Regret analysis for performance metrics in multi-label classification: The case of Hamming and subset zero-one loss,” in In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
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2010 | Conference Paper | LibreCat-ID: 13594
W. Cheng, M. Rademaker, B. De Beats, and E. Hüllermeier, “Predicting partial orders: Ranking with abstention,” in In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
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2010 | Conference Paper | LibreCat-ID: 13597
E. Hüllermeier, “Uncertainty in clustering and classification ,” in in Proceedings SUM 2010, International Conference on Scalable Uncertainty Management , 2010, vol. 6379, no. LNCS, pp. 16–19.
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2009 | Conference Paper | LibreCat-ID: 15773
W. Cheng and E. Hüllermeier, “A simple instance-based approach to multilabel classification using the Mallows model,” in In Proceedings MLD-2009 1st International Workshop on Learning from Multi-Label Data, Bled, Slovenia, 2009, pp. 28–38.
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2009 | Conference Paper | LibreCat-ID: 15774
R. Senge and E. Hüllermeier, “Learning pattern tree classifiers using a co-evolutionary algorithm,” in in Proceedings 19th Workshop Computational Intelligence, Dortmund Germany, 2009, pp. 22–33.
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2009 | Conference Paper | LibreCat-ID: 15775
T. Fober, M. Mernberger, R. Moritz, and E. Hüllermeier, “Graph-kernels for the comparative analysis of protein active sites,” in In Proceedings GCB-2009 German Conference on Bioinformatics Halle (Saale), Germany, 2009, pp. 21–31.
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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 | Conference Paper | LibreCat-ID: 15778
T. Fober, M. Mernberger, V. Melnikov, R. Moritz, and E. Hüllermeier, “Extension and empirical comparison of graph-kernels for the analysis of protein active sites,” in In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 2009, pp. 30–36.
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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: 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: 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 | Conference Paper | LibreCat-ID: 15196
E. Hüllermeier and M. Rifqi, “A fuzzy variant of the Rand index for comparing clustering structures,” in in Proceedings IFSA / EUSFLAT-2009 World Congress of the Fuzzy Systems Association, Lissabon, Portugal, 2009, pp. 1294–1298.
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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: 16158
J. Hühn and E. Hüllermeier, “FURIA: An Algorithm for unordered fuzzy rule induction,” Data Mining and Knowledge Discovery , vol. 19, pp. 293–319, 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 | 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: 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 | Journal Article | LibreCat-ID: 16163
J. Hühn and E. Hüllermeier, “FR3: A fuzzy rule learner for inducing reliable classifiers,” IEEE Transactions on Fuzzy Systems, vol. 17, no. 1, pp. 138–149, 2009.
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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 | 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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2009 | Conference Paper | LibreCat-ID: 13595
W. Cheng, J. Hühn, and E. Hüllermeier, “Decision tree and instance-based learning for label ranking,” 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
J. Fürnkranz, E. 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
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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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 | 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 | 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 | 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: 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 | 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 | 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 | 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 | 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.
LibreCat
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 | 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 | 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: 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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2007 | Conference Paper | LibreCat-ID: 15782
W. Cheng, E. Hüllermeier, B. Seeger, and I. Vladimirskiy, “Interactive ranking of skylines using machine learning techniques,” in In Proceedings Workshop LWA-2007, Lernen-Wissensentdeckung-Adaptivität, Halle/Saale, Germany, 2007, pp. 141–148.
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2007 | Conference Paper | LibreCat-ID: 15783
T. Fober, E. Hüllermeier, and M. Mernberger, “Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules,” in in Proceedings 17th Workshop Computational Intelligence, Dortmund Germany, 2007, pp. 1–14.
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2007 | Conference Paper | LibreCat-ID: 15784
I. Vladimirskiy, E. Hüllermeier, and E. Stauch, “Similarity search over uncertain archaeological data using a modified skyline operator,” in In Workshop Proceedings from ICCBR-2007 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, 2007, pp. 31–40.
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2007 | Conference Paper | LibreCat-ID: 14832
E. Hüllermeier and J. Fürnkranz, “On minimizing the position error in label ranking,” in In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007, 2007.
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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 | Conference Paper | LibreCat-ID: 14834
J. Beringer and E. Hüllermeier, “Efficient instance-based learning on data streams,” in In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig, 2007, pp. 34–48.
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