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449 Publications
2013 | Journal Article | LibreCat-ID: 16081
Bösner S, Bönisch K, Haasenritter J, Schlegel P, Hüllermeier E, Donner-Banzhoff N. Chest pain in primary care: is the localization of pain diagnostically helpful in the critical evaluation of patients? A cross sectional study. . BMC Family Practice. 2013;14(1):154-162.
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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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2012 | Journal Article | LibreCat-ID: 16093
Hüllermeier E, Rifqi M, Henzgen S, Senge R. Comparing fuzzy partitions: A generalization of the Rand index and related measures. IEEE Transactions on Fuzzy Systems. 2012;20(3):546-556.
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2012 | Journal Article | LibreCat-ID: 16094
Senge R, Fober T, Nasiri N, Hüllermeier E. Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung. At-Atomatisierungstechnik. 2012;60(10):622-629.
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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: 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: 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 | Book Chapter | LibreCat-ID: 10153
Hüllermeier E. Fuzzy rules in data mining: From fuzzy associations to gradual dependencies. In: Trillas E, Bonissone PP, Magdalena L, Kacprzyk J, eds. Combining Experimentation and Theory. Vol 271. Studies in Fuzziness and Soft Computing. Springer; 2012:123-135.
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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: 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: 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: 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: 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 | Journal Article | LibreCat-ID: 16119
Hirsch O, Bösner S, Hüllermeier E, Senge R, Dembczynski K, Donner-Banzhoff N. Multivariate modeling to identify patterns in clinical data: The example of chest pain. BMC Medical Research Methodology. 2011;11(155).
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2011 | Journal Article | LibreCat-ID: 16126
Domshlak C, Hüllermeier E, Kaci S, Prade H. Preferences in AL: An overview. Artificial Intelligence. 2011;175(7-8):1037-1052.
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2011 | Journal Article | LibreCat-ID: 16147
Hüllermeier E. Fuzzy machine learning and data mining. WIREs Data Mining and Knowledge Discovery. 2011;1(4):269-283.
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2011 | Journal Article | LibreCat-ID: 16148
Mernberger M, Klebe G, Hüllermeier E. SEGA: Semi-global graph alignment for structure-based protein comparison. IEEE/ACM Transactions of Computational Biology and Bioinformatics. 2011;8(5):1330-1343.
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2011 | Journal Article | LibreCat-ID: 16149
Fober T, Glinca S, Klebe G, Hüllermeier E. Superposition and alignment of labeled point clouds. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2011;8(6):1653-1666.
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2011 | Journal Article | LibreCat-ID: 16150
Hüllermeier E. Fuzzy sets in machine learning and data mining. Applied Soft Computing Journal. 2011:1493-1505.
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2011 | Journal Article | LibreCat-ID: 16153
Senge R, Hüllermeier E. Top-down induction of fuzzy pattern trees. IEEE Transactions on Fuzzy Systems. 2011;19(2):241-252.
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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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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: 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: 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: 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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2010 | Book Chapter | LibreCat-ID: 15297
Hüllermeier E, Hühn J. An Analysis of the FURIA algorithm for fuzzy rule induction. In: Koronacki J, Ras ZW, Wierzchon ST, Kacprzyk J, eds. Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski. Vol 262. Studies in Computational Intelligence. Springer; 2010:321-344.
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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: 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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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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