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428 Publications


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 | 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: 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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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
LibreCat | Files available | DOI
 

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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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 | 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 | 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: 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: 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 | 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: 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 | 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: 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 | 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: 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: 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 | 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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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: 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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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 | 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 | 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 | 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 | 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 | 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: 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 | 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 | 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 | 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: 16150
Hüllermeier E. Fuzzy sets in machine learning and data mining. Applied Soft Computing Journal. 2011:1493-1505.
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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 | 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 | Journal Article | LibreCat-ID: 16151
Hüllermeier E, Vanderlooy S. Combining predictions in pairwise classification: An optimal adaptive voting strategy and its relation to weighted voting. Pattern Recognition. 2010;43(1):128-142.
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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 | 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 | 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 | 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 | 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: 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 | 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: 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: 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: 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: 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 | 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 | 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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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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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 | 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: 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 | 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 | 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 | 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 | 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 | 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 | 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: 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: 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: 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.
LibreCat
 

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.
LibreCat
 

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.
LibreCat
 

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.
LibreCat
 

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