M. Nasiri, E. Hüllermeier, R. Senge, and E. Lughofer, “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, p. RW-103-1-6.
LibreCat: /record/15115

E. Lughofer and E. Hüllermeier, “On-line redundancy deletion in evolving fuzzy regression models using a fuzzy inclusion measure,” in in Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-les-Bains, France, 2011, pp. 380–387.
LibreCat: /record/15116

A. Fallah Tehrani, W. Cheng, and E. Hüllermeier, “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, pp. 868–875.
LibreCat: /record/15117

O. Hirsch, S. Bösner, E. Hüllermeier, R. Senge, K. Dembczynski, and N. Donner-Banzhoff, “Multivariate modeling to identify patterns in clinical data: The example of chest pain,” BMC Medical Research Methodology, vol. 11, no. 155, 2011.
LibreCat: /record/16119

C. Domshlak, E. Hüllermeier, S. Kaci, and H. Prade, “Preferences in AL: An overview,” Artificial Intelligence, vol. 175, no. 7–8, pp. 1037–1052, 2011.
LibreCat: /record/16126

E. Hüllermeier, “Fuzzy machine learning and data mining,” WIREs Data Mining and Knowledge Discovery, vol. 1, no. 4, pp. 269–283, 2011.
LibreCat: /record/16147

M. Mernberger, G. Klebe, and E. Hüllermeier, “SEGA: Semi-global graph alignment for structure-based protein comparison,” IEEE/ACM Transactions of Computational Biology and Bioinformatics, vol. 8, no. 5, pp. 1330–1343, 2011.
LibreCat: /record/16148

T. Fober, S. Glinca, G. Klebe, and E. Hüllermeier, “Superposition and alignment of labeled point clouds,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 8, no. 6, pp. 1653–1666, 2011.
LibreCat: /record/16149

E. Hüllermeier, “Fuzzy sets in machine learning and data mining,” Applied Soft Computing Journal, pp. 1493–1505, 2011.
LibreCat: /record/16150

R. Senge and E. Hüllermeier, “Top-down induction of fuzzy pattern trees,” IEEE Transactions on Fuzzy Systems, vol. 19, no. 2, pp. 241–252, 2011.
LibreCat: /record/16153

K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, “An exact algorithm for F-measure maximization,” in In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain, 2011.
LibreCat: /record/13194

J. Fürnkranz and E. Hüllermeier, “Learning from label preferences,” in in Proceedings DS-2011, 14th International  Conference on Discovery Science, number 6926 in LNAI, 2011, pp. 2–17.
LibreCat: /record/13196

A. Fallah Tehrani, W. Cheng, K. Dembczynski, and E. Hüllermeier, “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.
LibreCat: /record/13197

E. Hüllermeier and P. Schlegel, “Preference-based CBR: First steps toward a methodological framework,” in In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, number 6880 in LNAI, 2011, pp. 77–91.
LibreCat: /record/13198

W. Kotlowski, K. Dembczynski, and E. Hüllermeier, “Bipartite ranking through minimization of univariate loss,” in in Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA, 2011.
LibreCat: /record/13588

E. Hüllermeier and J. Hühn, “An Analysis of the FURIA algorithm for fuzzy rule induction,” in Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski, vol. 262, J. Koronacki, Z. W. Ras, S. T. Wierzchon, and J. Kacprzyk, Eds. Springer, 2010, pp. 321–344.
LibreCat: /record/15297

J. Fürnkranz and E. Hüllermeier, “Preference Learning: An Introduction,” in Preference Learning, J. Fürnkranz and E. Hüllermeier, Eds. Springer, 2010, pp. 1–18.
LibreCat: /record/15298

T. Fober, M. Mernberger, G. Klebe, and E. Hüllermeier, “Efficient similarity retrieval for protein binding sites based on histogram comparison,” in In Proceedings GCB-2010 German Conference on Bioinformatics Braunschweig, Germany, 2010, pp. 51–60.
LibreCat: /record/15765

K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, “On label dependence in multi-label classification,” in In Proceedings MLD-2010, 2nd International Workshop on Learning from Multi-Label Data, Haifa, Israel, 2010.
LibreCat: /record/15772

T. Fober and E. Hüllermeier, “Similarity measures for protein structures based on fuzzy histogram comparison,” in in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
LibreCat: /record/15118

R. Senge and E. Hüllermeier, “Pattern trees for regression and fuzzy systems modeling,” in in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
LibreCat: /record/15119

P. Pfeffer, T. Fober, E. Hüllermeier, and G. Klebe, “GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm,” Journal of Chemical Information and Modeling, vol. 50, no. 9, pp. 1644–1659, 2010.
LibreCat: /record/16121

E. Hüllermeier and S. Vanderlooy, “Combining predictions in pairwise classification: An optimal adaptive voting strategy and its relation to weighted voting,” Pattern Recognition, vol. 43, no. 1, pp. 128–142, 2010.
LibreCat: /record/16151

E. Hüllermeier and J. Fürnkranz, “On predictive accuracy and risk minimization in pairwise label ranking,” Journal of Computer and System Sciences, vol. 76, no. 1, pp. 49–62, 2010.
LibreCat: /record/16152

K. Dembczynski, W. Cheng, and E. Hüllermeier, “Bayes optimal multilabel classification via probalistic classifier chains,” in in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 279–286.
LibreCat: /record/13589

W. Cheng, K. Dembczynski, and E. Hüllermeier, “Label ranking based on the Plackett-Luce model,” in in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 215–222.
LibreCat: /record/13590

W. Cheng, K. Dembczynski, and E. Hüllermeier, “Graded multi-label classification: The ordinal case,” in in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010.
LibreCat: /record/13591

K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, “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.
LibreCat: /record/13593

W. Cheng, M. Rademaker, B. De Beats, and E. Hüllermeier, “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.
LibreCat: /record/13594

E. Hüllermeier, “Uncertainty in clustering and classification ,” in in Proceedings SUM 2010, International Conference on Scalable Uncertainty Management , 2010, vol. 6379, no. LNCS, pp. 16–19.
LibreCat: /record/13597

W. Cheng and E. Hüllermeier, “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, pp. 28–38.
LibreCat: /record/15773

R. Senge and E. Hüllermeier, “Learning pattern tree classifiers using a co-evolutionary algorithm,” in in Proceedings 19th Workshop Computational Intelligence, Dortmund Germany, 2009, pp. 22–33.
LibreCat: /record/15774

T. Fober, M. Mernberger, R. Moritz, and E. Hüllermeier, “Graph-kernels for the comparative analysis of protein active sites,” in In Proceedings GCB-2009 German Conference on Bioinformatics Halle (Saale), Germany, 2009, pp. 21–31.
LibreCat: /record/15775

R. Senge and E. Hüllermeier, “Learning pattern tree classifiers using a co-evolutionary algorithm,” in In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 2009, pp. 105–110.
LibreCat: /record/15776

T. Fober, M. Mernberger, V. Melnikov, R. Moritz, and E. Hüllermeier, “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, pp. 30–36.
LibreCat: /record/15778

T. Fober, G. Klebe, and E. Hüllermeier, “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, pp. 1251–1256.
LibreCat: /record/15120

I. Boukhris, Z. Elouedi, T. Fober, M. Mernberger, and E. Hüllermeier, “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, pp. 1245–1250.
LibreCat: /record/15194

T. Fober and E. Hüllermeier, “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, pp. 1299–1304.
LibreCat: /record/15195

E. Hüllermeier and M. Rifqi, “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, pp. 1294–1298.
LibreCat: /record/15196

N. Weskamp, E. Hüllermeier, and G. Klebe, “Merging chemical and biological space: Structural mapping of enzyme binding pocket space,” Proteins, vol. 76, no. 2, pp. 317–330, 2009.
LibreCat: /record/16154

J. Hühn and E. Hüllermeier, “FURIA: An Algorithm for unordered fuzzy rule induction,” Data Mining and Knowledge Discovery , vol. 19, pp. 293–319, 2009.
LibreCat: /record/16158

E. Hüllermeier and S. Vanderlooy, “Why fuzzy decision trees are good rankers,” IEEE Transactions on Fuzzy Systems, vol. 17, no. 6, pp. 1233–1244, 2009.
LibreCat: /record/16159

Y. Yi, T. Fober, and E. Hüllermeier, “Fuzzy operator trees for modeling rating functions,” International Journal of Computational Intelligence and Applications, vol. 8, no. 4, pp. 413–428, 2009.
LibreCat: /record/16161

T. Fober, M. Mernberger, G. Klebe, and E. Hüllermeier, “Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules,” Bioinformatics, vol. 25, no. 16, pp. 2110–2117, 2009.
LibreCat: /record/16162

J. Hühn and E. Hüllermeier, “F: A fuzzy rule learner for inducing reliable classifiers,” IEEE Transactions on Fuzzy Systems, vol. 17, no. 1, pp. 138–149, 2009.
LibreCat: /record/16163

E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, and E. Stauch, “Supporting case-based retrieval by similarity skylines: Basic concepts and extensions,” Künstliche Intelligenz, vol. 1, no. 09, pp. 24–29, 2009.
LibreCat: /record/16165

E. Hüllermeier, “On the usefulness of fuzzy sets in data mining,” in Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications, R. Seising, Ed. Springer, 2009, pp. 457–470.
LibreCat: /record/10188

W. Cheng, J. Hühn, and E. Hüllermeier, “Decision tree and instance-based learning for label ranking,” in in Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada, 2009, pp. 161–168.
LibreCat: /record/13595

J. Fürnkranz, E. Hüllermeier, and S. Vanderlooy, “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.
LibreCat: /record/13596

W. Cheng and E. Hüllermeier, “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, 2009, no. LNCS 5551, pp. 707–716.
LibreCat: /record/13598

E. Hüllermeier and S. Vanderlooy, “Weighted voting as approximate MAP prediction in pairwise classification,” in In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 34–41.
LibreCat: /record/15779

T. Fober, E. Hüllermeier, and M. Mernberger, “Evolutionary construction of multiple graph alignments for mining structured biomolecular data ,” in In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 27–33.
LibreCat: /record/15780

T. Fober, E. Hüllermeier, and M. Mernberger, “Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules,” in iIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008, 2008, pp. 44–53.
LibreCat: /record/15781

J. Hühn and E. Hüllermeier, “Is an ordinal class structure useful in classifier learning?,” International Journal of Data Mining, Modeling and Management , vol. 1, no. 1, pp. 45–67, 2008.
LibreCat: /record/16164

E. Hüllermeier, J. Fürnkranz, W. Cheng, and K. Brinker, “Label ranking by learning pairwise preferences,” Artificial Intelligence, vol. 172, pp. 1897–1917, 2008.
LibreCat: /record/16166

S. Vanderlooy and E. Hüllermeier, “A critical analysis of variants of the AUC,” Machine Learning, vol. 72, pp. 247–272, 2008.
LibreCat: /record/16167

J. Fürnkranz, E. Hüllermeier, E. Mencia, and K. Brinker, “Multilabel classification via calibrated label ranking,” Machine Learning, vol. 73, no. 2, pp. 133–153, 2008.
LibreCat: /record/16168

E. Hüllermeier and K. Brinker, “Learning valued preference structures for solving classification problems,” Fuzzy Sets and Systems, vol. 159, no. 18, pp. 2337–2352, 2008.
LibreCat: /record/16169

J. Beringer and E. Hüllermeier, “Case-based learning in a bipolar possibilistic framework,” International Journal of Intelligent Systems, vol. 23, no. 10, pp. 1119–1134, 2008.
LibreCat: /record/16184

E. Hüllermeier, “Granular computing in machine learning and data mining,” in Handbook on Granular Computing, W. Pedrycz, A. Skowron, and V. Kreinovich, Eds. John Wiley and Sons, 2008, pp. 889–906.
LibreCat: /record/16225

E. Hüllermeier, “Fuzzy methods in data mining,” in Encyclopedia of Data Warehousing and Mining - Second Edition, Idea Group, Inc.,Hershey, USA, 2008, pp. 907–912.
LibreCat: /record/10154

E. Hüllermeier and J. Fürnkranz, “Learning preference models from data: On the problem of label ranking and its variants,” in Preferences and Similarities, G. Della Riccia, D. Dubois, R. Kruse, and H. J. Lenz, Eds. Springer, 2008, pp. 283–304.
LibreCat: /record/10185

E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, and E. Stauch, “Supporting case-based retrieval by similarity skylines: Basic concepts and extensions,” in in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, 2008, no. LNAI 5239, pp. 240–254.
LibreCat: /record/13599

W. Cheng and E. Hüllermeier, “Learning similarity functions from qualitative feedback,” in in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, 2008, no. LNAI 5239, pp. 120–134.
LibreCat: /record/13600

W. Cheng, E. Hüllermeier, B. Seeger, and I. Vladimirskiy, “Interactive ranking of skylines using machine learning techniques,” in In Proceedings Workshop LWA-2007, Lernen-Wissensentdeckung-Adaptivität, Halle/Saale, Germany, 2007, pp. 141–148.
LibreCat: /record/15782

T. Fober, E. Hüllermeier, and M. Mernberger, “Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules,” in in Proceedings 17th Workshop Computational Intelligence, Dortmund Germany, 2007, pp. 1–14.
LibreCat: /record/15783

I. Vladimirskiy, E. Hüllermeier, and E. Stauch, “Similarity search over uncertain archaeological data using a modified skyline operator,” in In Workshop Proceedings from ICCBR-2007 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, 2007, pp. 31–40.
LibreCat: /record/15784

E. Hüllermeier and J. Fürnkranz, “On minimizing the position error in label ranking,” in In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007, 2007.
LibreCat: /record/14832

K. Brinker and E. Hüllermeier, “Label ranking in case-based reasoning,” in In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, 2007, vol. 4626, pp. 77–91.
LibreCat: /record/14833

J. Beringer and E. Hüllermeier, “Efficient instance-based learning on data streams,” in In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig, 2007, pp. 34–48.
LibreCat: /record/14834

K. Brinker and E. Hüllermeier, “Case-based multilabel ranking,” in in Proceedings IJCAI-07, 20th international Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007, 2007, pp. 701–707.
LibreCat: /record/14835

E. Hüllermeier and K. Brinker, “Fuzzy-relational classificatonf: 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, 2007, vol. 1, pp. 353–360.
LibreCat: /record/15197

J. Beringer and E. Hüllermeier, “Adaptive optimization of the number of clusters in fuzzy clustering, London 2007,” in in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, 2007.
LibreCat: /record/15198

E. Hüllermeier, N. Weskamp, G. Klebe, and D. Kuhn, “Graph alignment: Fuzzy pattern mining for the structural analysis of protein active sites,” in in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, London, 2007.
LibreCat: /record/15199

E. Hüllermeier and Y. Yi, “In defense of fuzzy association analysis,” IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, vol. 37, no. 4, pp. 1039–1043, 2007.
LibreCat: /record/16170

E. Hüllermeier, “Credible case-based inference using similarity profiles,” IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 5, pp. 847–858, 2007.
LibreCat: /record/16171

J. Beringer and E. Hüllermeier, “Efficient instance-based learning on data streams,” Intelligent Data Analysis, vol. 11, no. 6, pp. 627–650, 2007.
LibreCat: /record/16172

D. Dubois and E. Hüllermeier, “Comparing probability measures using possibility theory: A notion of relative peakedness,” International Journal of Approximate Reasoning, vol. 45, no. 2, pp. 364–385, 2007.
LibreCat: /record/16175

N. Weskamp, E. Hüllermeier, D. Kuhn, and G. Klebe, “Multiple graph aligment for the structural analysis of protein active sites,” IEEE/ACM Transactions of Computational Biology and Bioinformatics, vol. 4, no. 2, pp. 310–320, 2007.
LibreCat: /record/16179

I. Karimi and E. Hüllermeier, “Risk assessment for natural hazards: A new approach based on fuzzy probability,” Fuzzy Sets and Systems, vol. 158, no. 9, pp. 987–999, 2007.
LibreCat: /record/16194

E. Hüllermeier, “Why fuzzy set theory is useful in data mining,” in Successes and New Directions in Data Mining, F. Masseglia, P. Poncelet, and M. Teisseire, Eds. Information Science Reference, Hershey, New York, 2007, pp. 1–16.
LibreCat: /record/16224

J. Beringer and E. Hüllermeier, “Fuzzy clustering of parallel data streams,” in Advances in Fuzzy Clustering and its Applications , J. Valente de Oliveira and W. Pedrycz, Eds. John Wiley and Sons, 2007, pp. 333–352.
LibreCat: /record/16226

E. Hüllermeier, “Fuzzy methods for data mining and machine learning: State of the art and prospects,” in Fuzzy Sets and their Extensions: Representation, Aggregation and Models, Springer, 2007, pp. 355–374.
LibreCat: /record/16227

E. Hüllermeier, Case-based Approximate Reasoning, vol. 44. Springer, 2007.
LibreCat: /record/16282

J. N. Sulzmann, J. Fürnkranz, and E. Hüllermeier, “On pairwise Naive Bayes classifiers,” in In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, 2007.
LibreCat: /record/13601

J. Beringer and E. Hüllermeier, “Adaptive optimization of the number of clusters in fuzzy clustering, Dortmund, Germany 2006,” in in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, 2006, pp. 140–149.
LibreCat: /record/15785

E. Hüllermeier and K. Brinker, “Classification via fuzzy preference learning,” in in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, 2006, pp. 190–199.
LibreCat: /record/15786

E. Hüllermeier, “Credible case-based inference using similarity profiles,” in In Proceedings of ECCBR-2006 Workshops, 8th European Conference on Case-Based Reasoning, Ölüdeniz/Fethiye Turkey, 2006, pp. 230–242.
LibreCat: /record/15798

K. Bade, E. Hüllermeier, and A. Nürnberger, “Hierarchical classification by expected utility maximization,” in In Proceedings ICDM-2006, IEEE International Conference on Data Mining, 2006, pp. 43–52.
LibreCat: /record/14836

K. Brinker and E. Hüllermeier, “Case-based label ranking,” in In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006, 2006, pp. 566–573.
LibreCat: /record/14837

K. Brinker, J. Fuernkranz, and E. Hüllermeier, “A unified model for multilabel classification and ranking,” in In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva del Garda, Italy, 2006, pp. 489–493.
LibreCat: /record/14838

E. Hüllermeier, “Integrating instance-based learning and logistic regression,” in In Proceedings IPMU-2006 11th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, France, 2006.
LibreCat: /record/15201

E. Hüllermeier, “The Choquet integral as an aggregation operator in case-based learning,” in in Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund, 2006, pp. 615–628.
LibreCat: /record/15213

D. Dubois, E. Hüllermeier, and H. Prade, “A systematic approach to the assessment of fuzzy association rules,” Data Mining and Knowledge Discovery, vol. 13, no. 2, pp. 167–192, 2006.
LibreCat: /record/16173

D. Dubois, E. Hüllermeier, and H. Prade, “Fuzzy methods in case-based recommendation and decision support,” Journal of Intelligent Information Systems, vol. 27, pp. 95–115, 2006.
LibreCat: /record/16176

E. Hüllermeier and J. Beringer, “Learning from ambiguously labeled examples,” Intelligent Data Analysis, vol. 10, no. 5, pp. 419–440, 2006.
LibreCat: /record/16177

J. Beringer and E. Hüllermeier, “Online clustering of parallel data streams,” Data and Knowledge Engineering, vol. 58, no. 2, pp. 180–204, 2006.
LibreCat: /record/16183

I. Karimi, E. Hüllermeier, and K. Meskouris, “A fuzzy-probablistic earthquake risk assessment system,” Soft Computing, vol. 11, no. 3, pp. 229–238, 2006.
LibreCat: /record/16195

K. Brinker and E. Hüllermeier, “Calibrated label-ranking,” in In Proceedings of the NIPS-2005 Workshop on Learning to Rank, Whistler, BC, Canada, 2005, pp. 1–6.
LibreCat: /record/15799

E. Hüllermeier, J. Fürnkranz, and J. Beringer, “On position error and label ranking through iterated choice,” in In Proceedings LWA/FGML-2005, German Workshop on Machine Learning, Saarbrücken, Germany , 2005, pp. 158–163.
LibreCat: /record/15800