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448 Publications


2013 | Journal Article | LibreCat-ID: 16086
Haasenritter J, Viniol A, Becker A, et al. Diagnose im Kontext - eine erweiterte Perspektive. Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen (ZEFQ). 2013;107:585-591.
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2013 | Journal Article | LibreCat-ID: 16123
Shaker A, Senge R, Hüllermeier E. Evolving fuzzy pattern trees for binary classification on data streams. Information Sciences. 2013;220:34-45.
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2013 | Conference Paper | LibreCat-ID: 13115
Szarvas G, Busa-Fekete R, Hüllermeier E. Learning to rank lexical substitutions. In: In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA. ; 2013.
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2013 | Conference Paper | LibreCat-ID: 13116
Dembczynski K, Jachnik A, Kotlowski W, Waegeman W, Hüllermeier E. Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization. In: Dasgupta S, McAllester D, eds. In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA. ; 2013:1130-1138.
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2013 | Conference Paper | LibreCat-ID: 13117
Busa-Fekete R, Szoreny B, Weng P, Cheng W, Hüllermeier E. Top-k selection based on adaptive sampling of noisy preferences. In: Dasgupta S, McAllester D, eds. In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA. ; 2013:1094-1102.
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2013 | Conference Paper | LibreCat-ID: 13118
Hüllermeier E, Cheng W. Preference-based CBR: General ideas and basic principles. In: Rossi F, ed. In Proceedings IJCAI-13, 23rd International Joint Conference on Artificial Intelligence, Beijing, China. AAAI Press; 2013:3012-3016.
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2013 | Conference Paper | LibreCat-ID: 13119
Henzgen S, Strickert M, Hüllermeier E. Rule chains for visualizing evolving fuzzy rule-based systems. In: Burduk R, Jackowski K, Kurzynski M, Wozniak M, Zolnierek A, eds. In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland. Springer; 2013:279-288.
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2013 | Conference Paper | LibreCat-ID: 13190
Shaker A, Hüllermeier E. Recovery analysis for adaptive learning from non-stationary data streams. In: Burduk R, Jackowski K, Kurzynski M, Wozniak W, Zolnierek A, eds. In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland. Springer; 2013:289-298.
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2012 | Conference Paper | LibreCat-ID: 15299
Leinweber M, Baumgärtner L, Mernberger M, et al. GPU-based cloud computing for comparing the structure of protein binding sites. In: In Proceedings IEEE Conference on Digital Ecosystem Technologies-Complex Environment Engineering Campione D`Italia, Italy. ; 2012.
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2012 | Book Chapter | LibreCat-ID: 15396
Hüllermeier E, Fallah Tehrani A. Efficient learning of classifiers based on the 2-additive Choquet integral. In: Moewes C, Nürnberger A, eds. Computational Intelligence in Intelligent Data Analysis. Studies in Computational Intelligence. Springer; 2012:17-30.
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2012 | Conference Paper | LibreCat-ID: 15754
Bräuning M, Hüllermeier E. Learning conditional lexicographic preference trees. In: In Workshops on Preference Learning at ECAI, European Conference on Artiticial Intelligence, Montpellier, France. ; 2012.
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2012 | Conference Paper | LibreCat-ID: 15114
Hüllermeier E, Fallah Tehrani A. On the VC dimension of the Choquet integral. In: In Proceedings IPMU-2012 14th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Catania, Italy. ; 2012.
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2012 | Journal Article | LibreCat-ID: 16084
Fallah Tehrani A, Cheng W, Dembczynski K, Hüllermeier E. Learning  monotone nonlinear models using the Choquet integral. Machine Learning. 2012;89(1):183-211.
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2012 | Journal Article | LibreCat-ID: 16085
Bustince H, Pagola M, Mesiar R, Hüllermeier E, Herrera F. Grouping, overlap and generalized bientropic functions for fuzzy modeling of pairwise comparisons. IEEE Transactions on Fuzzy Systems. 2012;20(3):405-415.
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2012 | Journal Article | LibreCat-ID: 16087
Fürnkranz J, Hüllermeier E, Cheng W, Park SH. Preference-based reinforcement learning: A formal framework and a policy iteration algorithm. Machine Learning. 2012;89(1):123-156.
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2012 | Journal Article | LibreCat-ID: 16088
Dembczynski K, Waegeman W, Cheng W, Hüllermeier E. On label dependence and loss  minimization in multi-label classification. Machine Learning. 2012;88(1-2):5-45.
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2012 | Journal Article | LibreCat-ID: 16089
Shaker A, Hüllermeier E. IBL Streams: A system for instance-based classification and regression on data streams. Evolving Systems. 2012;3(4):235-249.
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2012 | Journal Article | LibreCat-ID: 16090
Dolorez Ruiz M, Hüllermeier E. A formal and empirical analysis of the fuzzy gamma rank correlation coefficient. Information Sciences. 2012;206:1-17.
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2012 | Journal Article | LibreCat-ID: 16091
Fallah Tehrani A, Cheng W, Hüllermeier E. Preference learning using the Choquet integral: The case of multipartite ranking. IEEE Transactions on Fuzzy Systems. 2012;20(6):1102-1113.
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2012 | Journal Article | LibreCat-ID: 16092
Fober T, Mernberger M, Klebe G, Hüllermeier E. Fingerprint kernels for protein structure comparison. Molecular Informatics. 2012;31(6-7):443-452.
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