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427 Publications


2011 | Conference Paper | LibreCat-ID: 15116
E. Lughofer and E. Hüllermeier, “On-line redundancy deletion in evolving fuzzy regression models using a fuzzy inclusion measure,” in in Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-les-Bains, France, 2011, pp. 380–387.
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2011 | Journal Article | LibreCat-ID: 16119
O. Hirsch, S. Bösner, E. Hüllermeier, R. Senge, K. Dembczynski, and N. Donner-Banzhoff, “Multivariate modeling to identify patterns in clinical data: The example of chest pain,” BMC Medical Research Methodology, vol. 11, no. 155, 2011.
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2011 | Journal Article | LibreCat-ID: 16126
C. Domshlak, E. Hüllermeier, S. Kaci, and H. Prade, “Preferences in AL: An overview,” Artificial Intelligence, vol. 175, no. 7–8, pp. 1037–1052, 2011.
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2011 | Conference Paper | LibreCat-ID: 15762
K. Dembczynski, W. Waegeman, and E. Hüllermeier, “Joint mode estimation in multi-label classification by chaining,” in In Proceedings ECML Workshop on Collective inference and Learning on Structured Data, Athens, Greece, 2011.
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2011 | Conference Paper | LibreCat-ID: 13197
A. Fallah Tehrani, W. Cheng, K. Dembczynski, and E. Hüllermeier, “Learning  monotone nonlinear models using the Choquet integral,” in In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, 2011.
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2011 | Conference Paper | LibreCat-ID: 15117
A. Fallah Tehrani, W. Cheng, and E. Hüllermeier, “Choquistic regression: Generalizing logistic regression using the Choquet integral,” in in Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-les-Bains, France, 2011, pp. 868–875.
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2011 | Journal Article | LibreCat-ID: 16153
R. Senge and E. Hüllermeier, “Top-down induction of fuzzy pattern trees,” IEEE Transactions on Fuzzy Systems, vol. 19, no. 2, pp. 241–252, 2011.
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2011 | Conference Paper | LibreCat-ID: 13198
E. Hüllermeier and P. Schlegel, “Preference-based CBR: First steps toward a methodological framework,” in In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, number 6880 in LNAI, 2011, pp. 77–91.
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2011 | Conference Paper | LibreCat-ID: 15764
M. Mernberger, D. Moog, S. Stork, S. Zauner, U. Maier, and E. Hüllermeier, “Prediction of protein localization for specialized compartments using time series kernels,” in In Proceedings GCB-2011 German Conference on Bioinformatics Munich, Germany, 2011.
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2011 | Journal Article | LibreCat-ID: 16147
E. Hüllermeier, “Fuzzy machine learning and data mining,” WIREs Data Mining and Knowledge Discovery, vol. 1, no. 4, pp. 269–283, 2011.
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2011 | Conference Paper | LibreCat-ID: 13194
K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, “An exact algorithm for F-measure maximization,” in In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain, 2011.
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2011 | Journal Article | LibreCat-ID: 16148
M. Mernberger, G. Klebe, and E. Hüllermeier, “SEGA: Semi-global graph alignment for structure-based protein comparison,” IEEE/ACM Transactions of Computational Biology and Bioinformatics, vol. 8, no. 5, pp. 1330–1343, 2011.
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2011 | Journal Article | LibreCat-ID: 16150
E. Hüllermeier, “Fuzzy sets in machine learning and data mining,” Applied Soft Computing Journal, pp. 1493–1505, 2011.
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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 | Book Chapter | LibreCat-ID: 15297
E. Hüllermeier and J. Hühn, “An Analysis of the FURIA algorithm for fuzzy rule induction,” in Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski, vol. 262, J. Koronacki, Z. W. Ras, S. T. Wierzchon, and J. Kacprzyk, Eds. Springer, 2010, pp. 321–344.
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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 | 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 | Book Chapter | LibreCat-ID: 15298
J. Fürnkranz and E. Hüllermeier, “Preference Learning: An Introduction,” in Preference Learning, J. Fürnkranz and E. Hüllermeier, Eds. Springer, 2010, pp. 1–18.
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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: 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: 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: 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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2010 | Conference Paper | LibreCat-ID: 15118
T. Fober and E. Hüllermeier, “Similarity measures for protein structures based on fuzzy histogram comparison,” in in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 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: 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 | Conference Paper | LibreCat-ID: 15765
T. Fober, M. Mernberger, G. Klebe, and E. Hüllermeier, “Efficient similarity retrieval for protein binding sites based on histogram comparison,” in In Proceedings GCB-2010 German Conference on Bioinformatics Braunschweig, Germany, 2010, pp. 51–60.
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2010 | Conference Paper | LibreCat-ID: 15772
K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, “On label dependence in multi-label classification,” in In Proceedings MLD-2010, 2nd International Workshop on Learning from Multi-Label Data, Haifa, Israel, 2010.
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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: 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 | 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: 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: 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: 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: 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: 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 | 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: 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: 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: 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: 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 | 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: 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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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 | 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: 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 | 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: 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: 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: 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 | 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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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 | 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.
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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 | Journal Article | LibreCat-ID: 16170
E. Hüllermeier and Y. Yi, “In defense of fuzzy association analysis,” IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, vol. 37, no. 4, pp. 1039–1043, 2007.
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2007 | Journal Article | LibreCat-ID: 16175
D. Dubois and E. Hüllermeier, “Comparing probability measures using possibility theory: A notion of relative peakedness,” International Journal of Approximate Reasoning, vol. 45, no. 2, pp. 364–385, 2007.
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2007 | Journal Article | LibreCat-ID: 16194
I. Karimi and E. Hüllermeier, “Risk assessment for natural hazards: A new approach based on fuzzy probability,” Fuzzy Sets and Systems, vol. 158, no. 9, pp. 987–999, 2007.
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2007 | Book Chapter | LibreCat-ID: 16226
J. Beringer and E. Hüllermeier, “Fuzzy clustering of parallel data streams,” in Advances in Fuzzy Clustering and its Applications , J. Valente de Oliveira and W. Pedrycz, Eds. John Wiley and Sons, 2007, pp. 333–352.
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2007 | Conference Paper | LibreCat-ID: 15197
E. Hüllermeier and K. Brinker, “Fuzzy-relational classificaton : Combining pairwise decomposition techniques with fuzzy preference modeling,” in in Proceedings EUSFLAT-2007 5th International Conference on the European Society for Fuzzy Logic and Technology, Ostrava, Czech Republic, 2007, vol. 1, pp. 353–360.
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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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2007 | Journal Article | LibreCat-ID: 16171
E. Hüllermeier, “Credible case-based inference using similarity profiles,” IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 5, pp. 847–858, 2007.
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2007 | Book Chapter | LibreCat-ID: 16227
E. Hüllermeier, “Fuzzy methods for data mining and machine learning: State of the art and prospects,” in Fuzzy Sets and their Extensions: Representation, Aggregation and Models, Springer, 2007, pp. 355–374.
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2007 | Conference Paper | LibreCat-ID: 14835
K. Brinker and E. Hüllermeier, “Case-based multilabel ranking,” in in Proceedings IJCAI-07, 20th international Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007, 2007, pp. 701–707.
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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: 15198
J. Beringer and E. Hüllermeier, “Adaptive optimization of the number of clusters in fuzzy clustering, London 2007,” in in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, 2007.
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2007 | Journal Article | LibreCat-ID: 16172
J. Beringer and E. Hüllermeier, “Efficient instance-based learning on data streams,” Intelligent Data Analysis, vol. 11, no. 6, pp. 627–650, 2007.
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2007 | Conference Paper | LibreCat-ID: 15199
E. Hüllermeier, N. Weskamp, G. Klebe, and D. Kuhn, “Graph alignment: Fuzzy pattern mining for the structural analysis of protein active sites,” in in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, London, 2007.
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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 | Book Chapter | LibreCat-ID: 16224
E. Hüllermeier, “Why fuzzy set theory is useful in data mining,” in Successes and New Directions in Data Mining, F. Masseglia, P. Poncelet, and M. Teisseire, Eds. Information Science Reference, Hershey, New York, 2007, pp. 1–16.
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2007 | Conference Paper | LibreCat-ID: 13601
J. N. Sulzmann, J. Fürnkranz, and E. Hüllermeier, “On pairwise Naive Bayes classifiers,” in In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, 2007.
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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 | Book | LibreCat-ID: 16282
E. Hüllermeier, Case-based Approximate Reasoning, vol. 44. Springer, 2007.
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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 | Journal Article | LibreCat-ID: 16179
N. Weskamp, E. Hüllermeier, D. Kuhn, and G. Klebe, “Multiple graph aligment for the structural analysis of protein active sites,” IEEE/ACM Transactions of Computational Biology and Bioinformatics, vol. 4, no. 2, pp. 310–320, 2007.
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2006 | Conference Paper | LibreCat-ID: 14838
K. Brinker, J. Fuernkranz, and E. Hüllermeier, “A unified model for multilabel classification and ranking,” in In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva del Garda, Italy, 2006, pp. 489–493.
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2006 | Conference Paper | LibreCat-ID: 15785
J. Beringer and E. Hüllermeier, “Adaptive optimization of the number of clusters in fuzzy clustering, Dortmund, Germany 2006,” in in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, 2006, pp. 140–149.
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2006 | Conference Paper | LibreCat-ID: 15786
E. Hüllermeier and K. Brinker, “Classification via fuzzy preference learning,” in in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, 2006, pp. 190–199.
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2006 | Conference Paper | LibreCat-ID: 15798
E. Hüllermeier, “Credible case-based inference using similarity profiles,” in In Proceedings of ECCBR-2006 Workshops, 8th European Conference on Case-Based Reasoning, Ölüdeniz/Fethiye Turkey, 2006, pp. 230–242.
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2006 | Journal Article | LibreCat-ID: 16176
D. Dubois, E. Hüllermeier, and H. Prade, “Fuzzy methods in case-based recommendation and decision support,” Journal of Intelligent Information Systems, vol. 27, pp. 95–115, 2006.
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2006 | Journal Article | LibreCat-ID: 16183
J. Beringer and E. Hüllermeier, “Online clustering of parallel data streams,” Data and Knowledge Engineering, vol. 58, no. 2, pp. 180–204, 2006.
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2006 | Journal Article | LibreCat-ID: 16195
I. Karimi, E. Hüllermeier, and K. Meskouris, “A fuzzy-probablistic earthquake risk assessment system,” Soft Computing, vol. 11, no. 3, pp. 229–238, 2006.
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2006 | Conference Paper | LibreCat-ID: 15201
E. Hüllermeier, “Integrating instance-based learning and logistic regression,” in In Proceedings IPMU-2006 11th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, France, 2006.
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2006 | Conference Paper | LibreCat-ID: 15213
E. Hüllermeier, “The Choquet integral as an aggregation operator in case-based learning,” in in Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund, 2006, pp. 615–628.
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2006 | Journal Article | LibreCat-ID: 16177
E. Hüllermeier and J. Beringer, “Learning from ambiguously labeled examples,” Intelligent Data Analysis, vol. 10, no. 5, pp. 419–440, 2006.
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2006 | Conference Paper | LibreCat-ID: 14836
K. Bade, E. Hüllermeier, and A. Nürnberger, “Hierarchical classification by expected utility maximization,” in In Proceedings ICDM-2006, IEEE International Conference on Data Mining, 2006, pp. 43–52.
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2006 | Journal Article | LibreCat-ID: 16173
D. Dubois, E. Hüllermeier, and H. Prade, “A systematic approach to the assessment of fuzzy association rules,” Data Mining and Knowledge Discovery, vol. 13, no. 2, pp. 167–192, 2006.
LibreCat
 

2006 | Conference Paper | LibreCat-ID: 14837
K. Brinker and E. Hüllermeier, “Case-based label ranking,” in In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006, 2006, pp. 566–573.
LibreCat
 

2005 | Conference Paper | LibreCat-ID: 15216
Y. Yi and E. Hüllermeier, “Learning complexity-boundet rule-based classifiers by combining association analysis and genetic algorithms,” in in Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology,  Barcelona, Spain, 2005.
LibreCat
 

2005 | Conference Paper | LibreCat-ID: 14840
E. Hüllermeier and J. Fürnkranz, “Learning label preferences: Ranking error versus position error,” in In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, 2005, vol. 3646, pp. 180–191.
LibreCat
 

2005 | Conference Paper | LibreCat-ID: 15800
E. Hüllermeier, J. Fürnkranz, and J. Beringer, “On position error and label ranking through iterated choice,” in In Proceedings LWA/FGML-2005, German Workshop on Machine Learning, Saarbrücken, Germany , 2005, pp. 158–163.
LibreCat
 

2005 | Conference Paper | LibreCat-ID: 14839
E. Hüllermeier and C. NN, “A method for combining interacting pieces of evidence in case-based learning,” in in Proceedings IJCAI-05, 19th international Joint Conference on Artificial Intelligence, Edingburgh, Scotland, 2005, pp. 3–8.
LibreCat
 

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