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305 Publications


2014 | Conference Paper | LibreCat-ID: 457
Jungmann A, Mohr F, Kleinjohann B. Applying Reinforcement Learning for Resolving Ambiguity in Service Composition. In: Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA). ; 2014:105-112. doi:10.1109/SOCA.2014.48
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2014 | Conference Paper | LibreCat-ID: 10253
Schäfer D, Hüllermeier E. Dyad Ranking Using A Bilinear Plackett-Luce Model. In: Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany. ; 2014:32-33.
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2014 | Journal Article | LibreCat-ID: 10309
Hüllermeier E. Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int J Approx Reasoning. 2014;55(7):1609-1613.
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2014 | Journal Article | LibreCat-ID: 10311
Senge R, Bösner S, Dembczynski K, et al. Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences. 2014;255:16-29.
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2014 | Journal Article | LibreCat-ID: 10316
Krempl G, Zliobaite I, Brzezinski D, et al. Open challenges for data stream mining research. SIGKDD Explorations. 2014;16(1):1-10.
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2014 | Journal Article | LibreCat-ID: 10296
Shaker A, Hüllermeier E. Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. Applied Mathematics and Computer Science. 2014;24(1):199-212.
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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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2013 | Conference Paper | LibreCat-ID: 15761
Senge R, del Coz JJ, Hüllermeier E. On the problem of error propagation in classier chains for multi-label classification. Data Analysis, Machine Learning and Knowledge Discovery. In: Schmidt-Thieme L, Spiliopoulou M, eds. In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany . Springer; 2013.
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2013 | Conference Paper | LibreCat-ID: 15759
Cheng W, Hüllermeier E. A nearest neigbor approach to label ranking based on generalized labelwise loss minimization. In: In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China. ; 2013.
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2013 | Conference Paper | LibreCat-ID: 485
Mohr F, Kleine Büning H. Semi-Automated Software Composition Through Generated Components. In: Proceedings of the 15th International Conference on Information Integration and Web-Based Applications & Services (IiWAS). ; 2013:676-680. doi:10.1145/2539150.2539235
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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: 15755
Busa-Fekete R, Fober T, Hüllermeier E. Preference-based evolutionary optimization using generalized racing algorithms. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2013:237-246.
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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: 15112
Fallah Tehrani A, Hüllermeier E. Ordinal Choquistic regression . In: Montero J, Pasi G, Ciucci D, eds. In Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy. Atlantis Press; 2013.
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2013 | Conference Paper | LibreCat-ID: 15763
Fober T, Klebe G, Hüllermeier E. Local clique merging: An extension of the maximum common subgraph measure with applications in structural bioinformatics, Algorithms from and for Nature and Life. In: Lausen B, Van den Poel D, Ultsch A, eds. In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany. Springer; 2013:279-286.
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2013 | Conference Paper | LibreCat-ID: 15756
Henzgen S, Hüllermeier E. Weighted rank correlation measures based on fuzzy order relations. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2013:227-236.
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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: 15113
Nasiri N, Fober T, Senge R, Hüllermeier E. Fuzzy Pattern Trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of colour yield in poyester dyeing, Edmonton, Canada. In: In Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada. ; 2013:715-721.
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2013 | Conference Paper | LibreCat-ID: 15752
Cheng W, Henzgen S, Hüllermeier E. Labelwise versus pairwise decomposition in label ranking. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany. ; 2013:129-136.
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2013 | Conference Paper | LibreCat-ID: 15757
Weng P, Busa-Fekete R, Hüllermeier E. Interactive Q-learning with ordinal rewards and unreliable tutor. In: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague. ; 2013.
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2013 | Conference Paper | LibreCat-ID: 495
Mohr F, Lettmann T, Kleine Büning H. Reducing Nondeterminism in Automated Service Composition. In: Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA). ; 2013:154-161. doi:10.1109/SOCA.2013.25
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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: 15753
Senge R, del Coz J, Hüllermeier E. Rectifying classifier chains for multi-label classification, Bamberg, Germany. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany. ; 2013:151-158.
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2013 | Conference Paper | LibreCat-ID: 15758
Busa-Fekete R, Szörenyi B, Weng P, Hüllermeier E. Preference-based evolutionary direct policy search. In: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague. ; 2013.
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2013 | Conference Paper | LibreCat-ID: 15760
Shaker A, Hüllermeier E. Event history analysis on data streams: An application to earthquake occurence. In: Krempl G, Zliobaite I, Wang Y, Forman G, eds. In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic. ; 2013:38-41.
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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: 13191
Cheng W, Hüllermeier E. Probability estimation for mulit-class classification based on label ranking. In: Proceedings ECML/PKDD-2012, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bristol, UK. ; 2012.
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2012 | Conference Paper | LibreCat-ID: 13192
Dembczynski K, Kotlowski W, Hüllermeier E. Consistent multilabel ranking through univariate loss minimization. In: Langford J, Pineau J, eds. In Proceedings ICML-2012,  International Conference on Machine Learning, Edinburgh, Scotland. ; 2012.
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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 | Conference Paper | LibreCat-ID: 13193
Dembczynski K, Waegeman W, Hüllermeier E. An analysis of chaining in multi-label classification. In: In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France . IOS Press; 2012:294-299.
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2012 | Conference Paper | LibreCat-ID: 13120
Cheng W, Hüllermeier E, Waegeman W, Welker V. Label ranking with partial abstention based on thresholded probalistic models. In: In Proceedings NIPS-2012, 26th Annual Conference on Neural Information Processing Systems, Lake Tahoe, Nevada, USA. ; 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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2011 | Conference Paper | LibreCat-ID: 15115
Nasiri M, Hüllermeier E, Senge R, Lughofer E. Comparing methods for knowledge-driven and data-driven fuzzy modeling: A case study in textile industry. In: In Proceedings IFSA-2011 World Congress of the International Fuzzy Systems Association, Surabaya and Bali Island, Indonesia. ; 2011:RW-103-1-6.
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2011 | Conference Paper | LibreCat-ID: 13196
Fürnkranz J, Hüllermeier E. Learning from label preferences. In: Elomaa T, Hollmen J, Mannila H, eds. In Proceedings DS-2011, 14th International  Conference on Discovery Science, Number 6926 in LNAI. Springer; 2011:2-17.
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2011 | Conference Paper | LibreCat-ID: 13588
Kotlowski W, Dembczynski K, Hüllermeier E. Bipartite ranking through minimization of univariate loss. In: In Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA. ; 2011.
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2011 | Conference Paper | LibreCat-ID: 15116
Lughofer E, Hüllermeier E. On-line redundancy deletion in evolving fuzzy regression models using a fuzzy inclusion measure. In: Galichet S, Montero J, Mauris G, eds. In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France. ; 2011:380-387.
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2011 | Conference Paper | LibreCat-ID: 15762
Dembczynski K, Waegeman W, Hüllermeier E. 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
Fallah Tehrani A, Cheng W, Dembczynski K, Hüllermeier E. 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
Fallah Tehrani A, Cheng W, Hüllermeier E. 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. ; 2011:868-875.
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2011 | Conference Paper | LibreCat-ID: 13198
Hüllermeier E, Schlegel P. Preference-based CBR: First steps toward a methodological framework. In: Ram A, Wiratunga N, eds. In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, Number 6880 in LNAI. Springer; 2011:77-91.
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2011 | Conference Paper | LibreCat-ID: 15764
Mernberger M, Moog D, Stork S, Zauner S, Maier U, Hüllermeier E. 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 | Conference Paper | LibreCat-ID: 13194
Dembczynski K, Waegeman W, Cheng W, Hüllermeier E. 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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2010 | Conference Paper | LibreCat-ID: 13594
Cheng W, Rademaker M, De Beats B, Hüllermeier E. 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: 13590
Cheng W, Dembczynski K, Hüllermeier E. Label ranking based on the Plackett-Luce model. In: Fürnkranz J, Joachims T, eds. In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel. ; 2010:215-222.
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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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