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402 Publications


2010 | Journal Article | LibreCat-ID: 16121
GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm
P. Pfeffer, T. Fober, E. Hüllermeier, G. Klebe, Journal of Chemical Information and Modeling 50 (2010) 1644–1659.
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2010 | Journal Article | LibreCat-ID: 16152
On predictive accuracy and risk minimization in pairwise label ranking
E. Hüllermeier, J. Fürnkranz, Journal of Computer and System Sciences 76 (2010) 49–62.
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2010 | Book Chapter | LibreCat-ID: 15298
Preference Learning: An Introduction
J. Fürnkranz, E. Hüllermeier, in: J. Fürnkranz, E. Hüllermeier (Eds.), Preference Learning, Springer, 2010, pp. 1–18.
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2010 | Conference Paper | LibreCat-ID: 13589
Bayes optimal multilabel classification via probalistic classifier chains
K. Dembczynski, W. Cheng, E. Hüllermeier, in: J. Fürnkranz, T. Joachims (Eds.), 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
Graded multi-label classification: The ordinal case
W. Cheng, K. Dembczynski, E. Hüllermeier, in: J. Fürnkranz, T. Joachims (Eds.), In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010.
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2010 | Conference Paper | LibreCat-ID: 13597
Uncertainty in clustering and classification
E. Hüllermeier, in: In Proceedings SUM 2010, International Conference on Scalable Uncertainty Management , Springer, 2010, pp. 16–19.
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2010 | Conference Paper | LibreCat-ID: 15118
Similarity measures for protein structures based on fuzzy histogram comparison
T. Fober, E. Hüllermeier, in: In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
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2010 | Conference Paper | LibreCat-ID: 13593
Regret analysis for performance metrics in multi-label classification: The case of Hamming and subset zero-one loss
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, 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
Pattern trees for regression and fuzzy systems modeling
R. Senge, E. Hüllermeier, in: In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
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2010 | Conference Paper | LibreCat-ID: 15765
Efficient similarity retrieval for protein binding sites based on histogram comparison
T. Fober, M. Mernberger, G. Klebe, E. Hüllermeier, 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
On label dependence in multi-label classification
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, 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
A fuzzy variant of the Rand index for comparing clustering structures
E. Hüllermeier, M. Rifqi, in: In Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal, 2009, pp. 1294–1298.
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2009 | Conference Paper | LibreCat-ID: 15778
Extension and empirical comparison of graph-kernels for the analysis of protein active sites
T. Fober, M. Mernberger, V. Melnikov, R. Moritz, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 2009, pp. 30–36.
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2009 | Conference Paper | LibreCat-ID: 15773
A simple instance-based approach to multilabel classification using the Mallows model
W. Cheng, E. Hüllermeier, 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 | Journal Article | LibreCat-ID: 16163
FR3: A fuzzy rule learner for inducing reliable classifiers
J. Hühn, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 17 (2009) 138–149.
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2009 | Conference Paper | LibreCat-ID: 13595
Decision tree and instance-based learning for label ranking
W. Cheng, J. Hühn, E. Hüllermeier, 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
Learning pattern tree classifiers using a co-evolutionary algorithm
R. Senge, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 19th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2009, pp. 22–33.
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2009 | Conference Paper | LibreCat-ID: 13596
Binary decomposition methods for multipartite ranking
J. Fürnkranz, E. Hüllermeier, S. Vanderlooy, 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
Graph-kernels for the comparative analysis of protein active sites
T. Fober, M. Mernberger, R. Moritz, E. Hüllermeier, in: I. Grosse, S. Neumann, S. Posch, F. Schreiber, P.. Stadler (Eds.), 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
FURIA: An Algorithm for unordered fuzzy rule induction
J. Hühn, E. Hüllermeier, Data Mining and Knowledge Discovery 19 (2009) 293–319.
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2009 | Journal Article | LibreCat-ID: 16165
Supporting case-based retrieval by similarity skylines: Basic concepts and extensions
E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, E. Stauch, Künstliche Intelligenz 1 (2009) 24–29.
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2009 | Conference Paper | LibreCat-ID: 15120
Efficient construction of multiple geometrical alignments for the comparison of protein binding sites
T. Fober, G. Klebe, E. Hüllermeier, 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
Learning pattern tree classifiers using a co-evolutionary algorithm
R. Senge, E. Hüllermeier, 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
Merging chemical and biological space: Structural mapping of enzyme binding pocket space
N. Weskamp, E. Hüllermeier, G. Klebe, Proteins 76 (2009) 317–330.
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2009 | Journal Article | LibreCat-ID: 16161
Fuzzy operator trees for modeling rating functions
Y. Yi, T. Fober, E. Hüllermeier, International Journal of Computational Intelligence and Applications 8 (2009) 413–428.
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2009 | Journal Article | LibreCat-ID: 16159
Why fuzzy decision trees are good rankers
E. Hüllermeier, S. Vanderlooy, IEEE Transactions on Fuzzy Systems 17 (2009) 1233–1244.
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2009 | Conference Paper | LibreCat-ID: 15194
Similarity analysis of protein binding sites: A generalization of the maximum common subgraph measure based on quasi-clique detection
I. Boukhris, Z. Elouedi, T. Fober, M. Mernberger, E. Hüllermeier, 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: 13598
A new instance-based label ranking approach using the Mallows model. In Advances in Neural Networks
W. Cheng, E. Hüllermeier, in: In Proceedings 6th International Symposium on Neural Networks, Wuhan, China, Springer, 2009, pp. 707–716.
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2009 | Conference Paper | LibreCat-ID: 15195
Fuzzy modeling of labeled point cloud superposition for the comparison of protein binding sites
T. Fober, E. Hüllermeier, 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
Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules
T. Fober, M. Mernberger, G. Klebe, E. Hüllermeier, Bioinformatics 25 (2009) 2110–2117.
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2009 | Book Chapter | LibreCat-ID: 10188
On the usefulness of fuzzy sets in data mining
E. Hüllermeier, in: R. Seising (Ed.), Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications, Springer, 2009, pp. 457–470.
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2008 | Conference Paper | LibreCat-ID: 13599
Supporting case-based retrieval by similarity skylines: Basic concepts and extensions
E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, E. Stauch, in: K.D. Althoff, R. Bergmann, M. Minor, A. Hanft (Eds.), In Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, 2008, pp. 240–254.
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2008 | Conference Paper | LibreCat-ID: 15780
Evolutionary construction of multiple graph alignments for mining structured biomolecular data
T. Fober, E. Hüllermeier, M. Mernberger, in: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 27–33.
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2008 | Journal Article | LibreCat-ID: 16168
Multilabel classification via calibrated label ranking
J. Fürnkranz, E. Hüllermeier, E. Mencia, K. Brinker, Machine Learning 73 (2008) 133–153.
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2008 | Conference Paper | LibreCat-ID: 15781
Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules
T. Fober, E. Hüllermeier, M. Mernberger, in: A. Beyer, M. Schroeder (Eds.), IIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008, 2008, pp. 44–53.
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2008 | Conference Paper | LibreCat-ID: 15779
Weighted voting as approximate MAP prediction in pairwise classification
E. Hüllermeier, S. Vanderlooy, in: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 34–41.
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2008 | Journal Article | LibreCat-ID: 16164
Is an ordinal class structure useful in classifier learning?
J. Hühn, E. Hüllermeier, International Journal of Data Mining, Modeling and Management 1 (2008) 45–67.
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2008 | Journal Article | LibreCat-ID: 16169
Learning valued preference structures for solving classification problems
E. Hüllermeier, K. Brinker, Fuzzy Sets and Systems 159 (2008) 2337–2352.
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2008 | Book Chapter | LibreCat-ID: 10185
Learning preference models from data: On the problem of label ranking and its variants
E. Hüllermeier, J. Fürnkranz, in: G. Della Riccia, D. Dubois, R. Kruse, H.J. Lenz (Eds.), Preferences and Similarities, Springer, 2008, pp. 283–304.
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2008 | Book Chapter | LibreCat-ID: 10154
Fuzzy methods in data mining
E. Hüllermeier, in: Encyclopedia of Data Warehousing and Mining - Second Edition, Idea Group, Inc.,Hershey, USA, 2008, pp. 907–912.
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2008 | Journal Article | LibreCat-ID: 16184
Case-based learning in a bipolar possibilistic framework
J. Beringer, E. Hüllermeier, International Journal of Intelligent Systems 23 (2008) 1119–1134.
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2008 | Conference Paper | LibreCat-ID: 13600
Learning similarity functions from qualitative feedback
W. Cheng, E. Hüllermeier, in: K.D. Althoff, R. Bergmann, M. Minor, A. Hanft (Eds.), In Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, Springer, 2008, pp. 120–134.
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2008 | Journal Article | LibreCat-ID: 16166
Label ranking by learning pairwise preferences
E. Hüllermeier, J. Fürnkranz, W. Cheng, K. Brinker, Artificial Intelligence 172 (2008) 1897–1917.
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2008 | Journal Article | LibreCat-ID: 16167
A critical analysis of variants of the AUC
S. Vanderlooy, E. Hüllermeier, Machine Learning 72 (2008) 247–272.
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2008 | Book Chapter | LibreCat-ID: 16225
Granular computing in machine learning and data mining
E. Hüllermeier, in: W. Pedrycz, A. Skowron, V. Kreinovich (Eds.), Handbook on Granular Computing, John Wiley and Sons, 2008, pp. 889–906.
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2007 | Conference Paper | LibreCat-ID: 14833
Label ranking in case-based reasoning
K. Brinker, E. Hüllermeier, in: M. Richter, R. Weber (Eds.), In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, Springer, 2007, pp. 77–91.
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2007 | Journal Article | LibreCat-ID: 16175
Comparing probability measures using possibility theory: A notion of relative peakedness
D. Dubois, E. Hüllermeier, International Journal of Approximate Reasoning 45 (2007) 364–385.
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2007 | Journal Article | LibreCat-ID: 16170
In defense of fuzzy association analysis
E. Hüllermeier, Y. Yi, IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics 37 (2007) 1039–1043.
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2007 | Journal Article | LibreCat-ID: 16194
Risk assessment for natural hazards: A new approach based on fuzzy probability
I. Karimi, E. Hüllermeier, Fuzzy Sets and Systems 158 (2007) 987–999.
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2007 | Book Chapter | LibreCat-ID: 16226
Fuzzy clustering of parallel data streams
J. Beringer, E. Hüllermeier, in: J. Valente de Oliveira, W. Pedrycz (Eds.), Advances in Fuzzy Clustering and Its Applications , John Wiley and Sons, 2007, pp. 333–352.
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