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402 Publications


2010 | Journal Article | LibreCat-ID: 16121
Pfeffer P, Fober T, Hüllermeier E, Klebe G. GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm. Journal of Chemical Information and Modeling. 2010;50(9):1644-1659.
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2010 | Journal Article | LibreCat-ID: 16152
Hüllermeier E, Fürnkranz J. On predictive accuracy and risk minimization in pairwise label ranking. Journal of Computer and System Sciences. 2010;76(1):49-62.
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2010 | Book Chapter | LibreCat-ID: 15298
Fürnkranz J, Hüllermeier E. Preference Learning: An Introduction. In: Fürnkranz J, Hüllermeier E, eds. Preference Learning. Springer; 2010:1-18.
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2010 | Conference Paper | LibreCat-ID: 13589
Dembczynski K, Cheng W, Hüllermeier E. Bayes optimal multilabel classification via probalistic classifier chains. In: Fürnkranz J, Joachims T, eds. In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel. ; 2010:279-286.
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2010 | Conference Paper | LibreCat-ID: 13591
Cheng W, Dembczynski K, Hüllermeier E. Graded multi-label classification: The ordinal case. In: Fürnkranz J, Joachims T, eds. In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel. ; 2010.
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2010 | Conference Paper | LibreCat-ID: 13597
Hüllermeier E. Uncertainty in clustering and classification . In: In Proceedings SUM 2010, International Conference on Scalable Uncertainty Management . Vol 6379. Springer; 2010:16-19.
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2010 | Conference Paper | LibreCat-ID: 15118
Fober T, Hüllermeier E. 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
Dembczynski K, Waegeman W, Cheng W, Hüllermeier E. 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
Senge R, Hüllermeier E. 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
Fober T, Mernberger M, Klebe G, Hüllermeier E. Efficient similarity retrieval for protein binding sites based on histogram comparison. In: In Proceedings GCB-2010 German Conference on Bioinformatics Braunschweig, Germany. ; 2010:51-60.
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2010 | Conference Paper | LibreCat-ID: 15772
Dembczynski K, Waegeman W, Cheng W, Hüllermeier E. 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
Hüllermeier E, Rifqi M. 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. ; 2009:1294-1298.
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2009 | Conference Paper | LibreCat-ID: 15778
Fober T, Mernberger M, Melnikov V, Moritz R, Hüllermeier E. 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. ; 2009:30-36.
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2009 | Conference Paper | LibreCat-ID: 15773
Cheng W, Hüllermeier E. 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. ; 2009:28-38.
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2009 | Journal Article | LibreCat-ID: 16163
Hühn J, Hüllermeier E. FR3: A fuzzy rule learner for inducing reliable classifiers. IEEE Transactions on Fuzzy Systems. 2009;17(1):138-149.
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2009 | Conference Paper | LibreCat-ID: 13595
Cheng W, Hühn J, Hüllermeier E. Decision tree and instance-based learning for label ranking. In: In Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada. ; 2009:161-168.
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2009 | Conference Paper | LibreCat-ID: 15774
Senge R, Hüllermeier E. Learning pattern tree classifiers using a co-evolutionary algorithm. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 19th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2009:22-33.
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2009 | Conference Paper | LibreCat-ID: 13596
Fürnkranz J, Hüllermeier E, Vanderlooy S. 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
Fober T, Mernberger M, Moritz R, Hüllermeier E. Graph-kernels for the comparative analysis of protein active sites. In: Grosse I, Neumann S, Posch S, Schreiber F, Stadler P., eds. In Proceedings GCB-2009 German Conference on Bioinformatics Halle (Saale), Germany. ; 2009:21-31.
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2009 | Journal Article | LibreCat-ID: 16158
Hühn J, Hüllermeier E. FURIA: An Algorithm for unordered fuzzy rule induction. Data Mining and Knowledge Discovery . 2009;19:293-319.
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2009 | Journal Article | LibreCat-ID: 16165
Hüllermeier E, Vladimirskiy I, Prados Suarez B, Stauch E. Supporting case-based retrieval by similarity skylines: Basic concepts and extensions. Künstliche Intelligenz. 2009;1(09):24-29.
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2009 | Conference Paper | LibreCat-ID: 15120
Fober T, Klebe G, Hüllermeier E. 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. ; 2009:1251-1256.
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2009 | Conference Paper | LibreCat-ID: 15776
Senge R, Hüllermeier E. Learning pattern tree classifiers using a co-evolutionary algorithm. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany. ; 2009:105-110.
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2009 | Journal Article | LibreCat-ID: 16154
Weskamp N, Hüllermeier E, Klebe G. Merging chemical and biological space: Structural mapping of enzyme binding pocket space. Proteins. 2009;76(2):317-330.
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2009 | Journal Article | LibreCat-ID: 16161
Yi Y, Fober T, Hüllermeier E. Fuzzy operator trees for modeling rating functions. International Journal of Computational Intelligence and Applications. 2009;8(4):413-428.
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2009 | Journal Article | LibreCat-ID: 16159
Hüllermeier E, Vanderlooy S. Why fuzzy decision trees are good rankers. IEEE Transactions on Fuzzy Systems. 2009;17(6):1233-1244.
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2009 | Conference Paper | LibreCat-ID: 15194
Boukhris I, Elouedi Z, Fober T, Mernberger M, Hüllermeier E. 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. ; 2009:1245-1250.
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2009 | Conference Paper | LibreCat-ID: 13598
Cheng W, Hüllermeier E. 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. Springer; 2009:707-716.
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2009 | Conference Paper | LibreCat-ID: 15195
Fober T, Hüllermeier E. 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. ; 2009:1299-1304.
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2009 | Journal Article | LibreCat-ID: 16162
Fober T, Mernberger M, Klebe G, Hüllermeier E. Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. Bioinformatics. 2009;25(16):2110-2117.
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2009 | Book Chapter | LibreCat-ID: 10188
Hüllermeier E. On the usefulness of fuzzy sets in data mining. In: Seising R, ed. Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications. Springer; 2009:457-470.
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2008 | Conference Paper | LibreCat-ID: 13599
Hüllermeier E, Vladimirskiy I, Prados Suarez B, Stauch E. Supporting case-based retrieval by similarity skylines: Basic concepts and extensions. In: Althoff KD, Bergmann R, Minor M, Hanft A, eds. In Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany. ; 2008:240-254.
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2008 | Conference Paper | LibreCat-ID: 15780
Fober T, Hüllermeier E, Mernberger M. Evolutionary construction of multiple graph alignments for mining structured biomolecular data . In: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany. ; 2008:27-33.
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2008 | Journal Article | LibreCat-ID: 16168
Fürnkranz J, Hüllermeier E, Mencia E, Brinker K. Multilabel classification via calibrated label ranking. Machine Learning. 2008;73(2):133-153.
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2008 | Conference Paper | LibreCat-ID: 15781
Fober T, Hüllermeier E, Mernberger M. Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. In: Beyer A, Schroeder M, eds. IIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008. ; 2008:44-53.
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2008 | Conference Paper | LibreCat-ID: 15779
Hüllermeier E, Vanderlooy S. Weighted voting as approximate MAP prediction in pairwise classification. In: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany. ; 2008:34-41.
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2008 | Journal Article | LibreCat-ID: 16164
Hühn J, Hüllermeier E. Is an ordinal class structure useful in classifier learning? International Journal of Data Mining, Modeling and Management . 2008;1(1):45-67.
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2008 | Journal Article | LibreCat-ID: 16169
Hüllermeier E, Brinker K. Learning valued preference structures for solving classification problems. Fuzzy Sets and Systems. 2008;159(18):2337-2352.
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2008 | Book Chapter | LibreCat-ID: 10185
Hüllermeier E, Fürnkranz J. Learning preference models from data: On the problem of label ranking and its variants. In: Della Riccia G, Dubois D, Kruse R, Lenz HJ, eds. Preferences and Similarities. Preferences and Similarities. Springer; 2008:283-304.
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2008 | Book Chapter | LibreCat-ID: 10154
Hüllermeier E. Fuzzy methods in data mining. In: Encyclopedia of Data Warehousing and Mining - Second Edition. Idea Group, Inc.,Hershey, USA; 2008:907-912.
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2008 | Journal Article | LibreCat-ID: 16184
Beringer J, Hüllermeier E. Case-based learning in a bipolar possibilistic framework. International Journal of Intelligent Systems. 2008;23(10):1119-1134.
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2008 | Conference Paper | LibreCat-ID: 13600
Cheng W, Hüllermeier E. Learning similarity functions from qualitative feedback. In: Althoff KD, Bergmann R, Minor M, Hanft A, eds. In Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany. Springer; 2008:120-134.
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2008 | Journal Article | LibreCat-ID: 16166
Hüllermeier E, Fürnkranz J, Cheng W, Brinker K. Label ranking by learning pairwise preferences. Artificial Intelligence. 2008;172:1897-1917.
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2008 | Journal Article | LibreCat-ID: 16167
Vanderlooy S, Hüllermeier E. A critical analysis of variants of the AUC. Machine Learning. 2008;72:247-272.
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2008 | Book Chapter | LibreCat-ID: 16225
Hüllermeier E. Granular computing in machine learning and data mining. In: Pedrycz W, Skowron A, Kreinovich V, eds. Handbook on Granular Computing. John Wiley and Sons; 2008:889-906.
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2007 | Conference Paper | LibreCat-ID: 14833
Brinker K, Hüllermeier E. Label ranking in case-based reasoning. In: Richter M, Weber R, eds. In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland. Vol 4626. LNAI. Springer; 2007:77-91.
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2007 | Journal Article | LibreCat-ID: 16175
Dubois D, Hüllermeier E. Comparing probability measures using possibility theory: A notion of relative peakedness. International Journal of Approximate Reasoning. 2007;45(2):364-385.
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2007 | Journal Article | LibreCat-ID: 16170
Hüllermeier E, Yi Y. In defense of fuzzy association analysis. IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics. 2007;37(4):1039-1043.
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2007 | Journal Article | LibreCat-ID: 16194
Karimi I, Hüllermeier E. Risk assessment for natural hazards: A new approach based on fuzzy probability. Fuzzy Sets and Systems. 2007;158(9):987-999.
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2007 | Book Chapter | LibreCat-ID: 16226
Beringer J, Hüllermeier E. Fuzzy clustering of parallel data streams. In: Valente de Oliveira J, Pedrycz W, eds. Advances in Fuzzy Clustering and Its Applications . John Wiley and Sons; 2007:333-352.
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2007 | Conference Paper | LibreCat-ID: 14834
Beringer J, Hüllermeier E. Efficient instance-based learning on data streams. In: Perner P, ed. In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig. Springer; 2007:34-48.
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2007 | Conference Paper | LibreCat-ID: 15197
Hüllermeier E, Brinker K. 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. Vol 1. ; 2007:353-360.
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2007 | Journal Article | LibreCat-ID: 16171
Hüllermeier E. Credible case-based inference using similarity profiles. IEEE Transactions on Knowledge and Data Engineering. 2007;19(5):847-858.
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2007 | Book Chapter | LibreCat-ID: 16227
Hüllermeier E. 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; 2007:355-374.
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2007 | Conference Paper | LibreCat-ID: 14835
Brinker K, Hüllermeier E. Case-based multilabel ranking. In: In Proceedings IJCAI-07, 20th International Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007. ; 2007:701-707.
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2007 | Conference Paper | LibreCat-ID: 15198
Beringer J, Hüllermeier E. 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 | Conference Paper | LibreCat-ID: 15782
Cheng W, Hüllermeier E, Seeger B, Vladimirskiy I. Interactive ranking of skylines using machine learning techniques. In: In Proceedings Workshop LWA-2007, Lernen-Wissensentdeckung-Adaptivität, Halle/Saale, Germany. ; 2007:141-148.
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2007 | Journal Article | LibreCat-ID: 16172
Beringer J, Hüllermeier E. Efficient instance-based learning on data streams. Intelligent Data Analysis. 2007;11(6):627-650.
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2007 | Conference Paper | LibreCat-ID: 15199
Hüllermeier E, Weskamp N, Klebe G, Kuhn D. 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
Fober T, Hüllermeier E, Mernberger M. Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. In: Mikut R, Reischl M, eds. In Proceedings 17th Workshop Computational Intelligence, Dortmund Germany. ; 2007:1-14.
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2007 | Book Chapter | LibreCat-ID: 16224
Hüllermeier E. Why fuzzy set theory is useful in data mining. In: Masseglia F, Poncelet P, Teisseire M, eds. Successes and New Directions in Data Mining. Information Science Reference, Hershey, New York; 2007:1-16.
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2007 | Conference Paper | LibreCat-ID: 13601
Sulzmann JN, Fürnkranz J, Hüllermeier E. On pairwise Naive Bayes classifiers. In: In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland. Springer; 2007.
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2007 | Conference Paper | LibreCat-ID: 14832
Hüllermeier E, Fürnkranz J. On minimizing the position error in label ranking. In: In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007. Springer; 2007.
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2007 | Conference Paper | LibreCat-ID: 15784
Vladimirskiy I, Hüllermeier E, Stauch E. Similarity search over uncertain archaeological data using a modified skyline operator. In: Wilson DC, Khemani D, eds. In Workshop Proceedings from ICCBR-2007 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland. ; 2007:31-40.
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2007 | Journal Article | LibreCat-ID: 16179
Weskamp N, Hüllermeier E, Kuhn D, Klebe G. Multiple graph aligment for the structural analysis of protein active sites. IEEE/ACM Transactions of Computational Biology and Bioinformatics. 2007;4(2):310-320.
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2007 | Book | LibreCat-ID: 16282
Hüllermeier E. Case-Based Approximate Reasoning. Vol 44. Springer; 2007.
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2006 | Conference Paper | LibreCat-ID: 14838
Brinker K, Fuernkranz J, Hüllermeier E. A unified model for multilabel classification and ranking. In: Brewka G, Coradeschi S, Perini A, Traverso P, eds. In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva Del Garda, Italy. ; 2006:489-493.
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2006 | Conference Paper | LibreCat-ID: 15785
Beringer J, Hüllermeier E. Adaptive optimization of the number of clusters in fuzzy clustering, Dortmund, Germany 2006. In: Mikut R, Reischl M, eds. In Proceedings 16th Workshop Computational Intelligence, Dortmund Germany. ; 2006:140-149.
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2006 | Conference Paper | LibreCat-ID: 15786
Hüllermeier E, Brinker K. Classification via fuzzy preference learning. In: Mikut R, Reischl M, eds. In Proceedings 16th Workshop Computational Intelligence, Dortmund Germany. ; 2006:190-199.
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2006 | Conference Paper | LibreCat-ID: 15798
Hüllermeier E. Credible case-based inference using similarity profiles. In: Minor M, ed. In Proceedings of ECCBR-2006 Workshops, 8th European Conference on Case-Based Reasoning, Ölüdeniz/Fethiye Turkey. ; 2006:230-242.
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2006 | Journal Article | LibreCat-ID: 16176
Dubois D, Hüllermeier E, Prade H. Fuzzy methods in case-based recommendation and decision support. Journal of Intelligent Information Systems. 2006;27:95-115.
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2006 | Journal Article | LibreCat-ID: 16183
Beringer J, Hüllermeier E. Online clustering of parallel data streams. Data and Knowledge Engineering. 2006;58(2):180-204.
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2006 | Journal Article | LibreCat-ID: 16195
Karimi I, Hüllermeier E, Meskouris K. A fuzzy-probablistic earthquake risk assessment system. Soft Computing. 2006;11(3):229-238.
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2006 | Conference Paper | LibreCat-ID: 15201
Hüllermeier E. 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
Hüllermeier E. The Choquet integral as an aggregation operator in case-based learning. In: Reusch B, ed. In Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund. Springer; 2006:615-628.
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2006 | Journal Article | LibreCat-ID: 16177
Hüllermeier E, Beringer J. Learning from ambiguously labeled examples. Intelligent Data Analysis. 2006;10(5):419-440.
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2006 | Conference Paper | LibreCat-ID: 14836
Bade K, Hüllermeier E, Nürnberger A. Hierarchical classification by expected utility maximization. In: In Proceedings ICDM-2006, IEEE International Conference on Data Mining. IEEE Computer Society Press; 2006:43-52.
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2006 | Journal Article | LibreCat-ID: 16173
Dubois D, Hüllermeier E, Prade H. A systematic approach to the assessment of fuzzy association rules. Data Mining and Knowledge Discovery. 2006;13(2):167-192.
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2006 | Conference Paper | LibreCat-ID: 14837
Brinker K, Hüllermeier E. Case-based label ranking. In: In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006. Springer; 2006:566-573.
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2005 | Conference Paper | LibreCat-ID: 14840
Hüllermeier E, Fürnkranz J. Learning label preferences: Ranking error versus position error. In: Famili A, Kok J, Pena J, Siebes A, Feelders A, eds. In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid. Vol 3646. LNCS. Springer; 2005:180-191.
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2005 | Conference Paper | LibreCat-ID: 15216
Yi Y, Hüllermeier E. 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.
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2005 | Conference Paper | LibreCat-ID: 15800
Hüllermeier E, Fürnkranz J, Beringer J. On position error and label ranking through iterated choice. In: In Proceedings LWA/FGML-2005, German Workshop on Machine Learning, Saarbrücken, Germany . ; 2005:158-163.
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2005 | Conference Paper | LibreCat-ID: 14841
Hüllermeier E, Beringer J. Learning from ambiguously labeled examples. In: Famili A, Kok J, Pena J, Siebes A, Feelders A, eds. In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid. Vol 3646. LNAI. Springer; 2005:168-179.
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2005 | Conference Paper | LibreCat-ID: 14839
Hüllermeier E, NN C. A method for combining interacting pieces of evidence in case-based learning. In: Kaelbling L, Saffiotti A, eds. In Proceedings IJCAI-05, 19th International Joint Conference on Artificial Intelligence, Edingburgh, Scotland. ; 2005:3-8.
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2005 | Conference Paper | LibreCat-ID: 15105
Dubois D, Hüllermeier E. A notion of comarative probabilistic entroy based on the possibilistic specificity ordering. In: In Proceedings ECSQARU-2005, 8th European Conference of Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Barcelona, Spain. ; 2005.
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2005 | Conference Paper | LibreCat-ID: 15799
Brinker K, Hüllermeier E. Calibrated label-ranking. In: Agarwal S, Cortes C, Herbrich R, eds. In Proceedings of the NIPS-2005 Workshop on Learning to Rank, Whistler, BC, Canada. http://web.mit.edu/shivani/www/Ranking-NIPS-05/.; 2005:1-6.
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2005 | Conference Paper | LibreCat-ID: 15214
Karimi I, Hüllermeier E. A fuzzy-probablistic risk assessment system for natural disasters. In: In Proceedings IFSA-2005, 11th  World Congress of the International Fuzzy System Association, Beijing, China. ; 2005:1147-1153.
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2005 | Journal Article | LibreCat-ID: 16178
Hüllermeier E. Experience-based decision making: A satisficing decision tree approach. IEEE Transactions on Systems, Man and Cybernetics-Part A: Systems and Humans. 2005;35(5):641-653.
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2005 | Conference Paper | LibreCat-ID: 15215
Lughofer E, Hüllermeier E, Klement E. Improving the interpretability of data-driven evolving fuzzy systems. In: In Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology, Barcelona, Spain. ; 2005.
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2005 | Journal Article | LibreCat-ID: 16181
Balasubramaniyan R, Hüllermeier E, Weskamp N, Kämper J. Clustering of gene expression data using a local shape-based similarity measure. Bioinformatics. 2005;21(7):1069-1077.
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2005 | Journal Article | LibreCat-ID: 16174
Hüllermeier E. Fuzzy sets in machine learning and data mining: Status and prospects. Fuzzy Sets and Systems. 2005;156(3):387-406.
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2004 | Journal Article | LibreCat-ID: 16187
Hüllermeier E. Flexible constraints for regularization in learning from data. International Journal of Intelligent Systems. 2004;19(6):525-541.
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2004 | Conference Paper | LibreCat-ID: 15217
Hüllermeier E, Fürnkranz J. Comparison of ranking procedures in pairwise preference learning. In: In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy. ; 2004.
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2004 | Conference Paper | LibreCat-ID: 15801
Dubois D, Hüllermeier E, Prade H. A systematic approach to the assessment of fuzzy association rules. In: Cubero J, Sanchez D, Ras Z, Sudkamp T, eds. In Proceedings of the Workshop on Alternative Techniques for Data Mining and Knowledge Discovery, IEEE International Conference on Data Mining, Brighton, UK. ; 2004.
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2004 | Conference Paper | LibreCat-ID: 14842
Hüllermeier E. Instance-based prediction with guaranteed confidence. In: Lopez de Mantaras R, Saitta L, eds. In Proceedings ECAI-2004, 16th European Conference on Artificial Inteligence, Valencia, Spain. IOS Press; 2004:97-101.
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2004 | Conference Paper | LibreCat-ID: 15218
Hüllermeier E, Fürnkranz J. Ranking by pairwise comparison: A note on risk minimization. In: In Proceedings FUZZ-IEEE-04, IEEE International Conference on Fuzzy Systems, Budapest, Hungary. ; 2004.
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2004 | Conference Paper | LibreCat-ID: 15220
Hüllermeier E, Beringer J. Learning decision rules from positive and negative preferences. In: In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy. ; 2004.
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2004 | Conference Paper | LibreCat-ID: 15219
Karimi I, Hüllermeier E, Meskouris K. An earthquake risk assessment method based on fuzzy probability. In: In Proceedings 6th International FLINS Conference on Applied  Computational Intelligence, Duinse Polders, Blankenberg,Belgien. ; 2004.
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2004 | Journal Article | LibreCat-ID: 16185
Hüllermeier E, Renners I, Grauel A. An evolutionary approach to constraints-regularized learning. Mathware and Soft Computing. 2004;11(2-3):109-124.
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2004 | Conference Paper | LibreCat-ID: 15804
Weskamp N, Hüllermeier E, Kuhn D, Klebe G. Graph alignments: A new concept to detect conserved regions in protein active sites. In: Giegerich R, Stoye J, eds. In Proceedings of GCB-2004 of the German Conference on Bioinformatics, Bielefeld, Germany. Lecture Notes in Informatics, Bielefeld, Germany. Springer; 2004:131-140.
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