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

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

Fober, T., Hüllermeier, E., &; Mernberger, M. (2008). Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. In A. Beyer &; M. Schroeder (Eds.), iIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008 (pp. 44–53).
LibreCat: /record/15781

Hühn, J., &; Hüllermeier, E. (2008). Is an ordinal class structure useful in classifier learning? International Journal of Data Mining, Modeling and Management , 1(1), 45–67.
LibreCat: /record/16164

Hüllermeier, E., Fürnkranz, J., Cheng, W., &; Brinker, K. (2008). Label ranking by learning pairwise preferences. Artificial Intelligence, 172, 1897–1917.
LibreCat: /record/16166

Vanderlooy, S., &; Hüllermeier, E. (2008). A critical analysis of variants of the AUC. Machine Learning, 72, 247–272.
LibreCat: /record/16167

Fürnkranz, J., Hüllermeier, E., Mencia, E., &; Brinker, K. (2008). Multilabel classification via calibrated label ranking. Machine Learning, 73(2), 133–153.
LibreCat: /record/16168

Hüllermeier, E., &; Brinker, K. (2008). Learning valued preference structures for solving classification problems. Fuzzy Sets and Systems, 159(18), 2337–2352.
LibreCat: /record/16169

Beringer, J., &; Hüllermeier, E. (2008). Case-based learning in a bipolar possibilistic framework. International Journal of Intelligent Systems, 23(10), 1119–1134.
LibreCat: /record/16184

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

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

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

Hüllermeier, E., Vladimirskiy, I., Prados Suarez, B., &; Stauch, E. (2008). Supporting case-based retrieval by similarity skylines: Basic concepts and extensions. In K. D. Althoff, R. Bergmann, M. Minor, &; A. Hanft (Eds.), in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany (pp. 240–254).
LibreCat: /record/13599

Cheng, W., &; Hüllermeier, E. (2008). Learning similarity functions from qualitative feedback. In K. D. Althoff, R. Bergmann, M. Minor, &; A. Hanft (Eds.), in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany (pp. 120–134). Springer.
LibreCat: /record/13600

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

Fober, T., Hüllermeier, E., &; Mernberger, M. (2007). Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. In R. Mikut &; M. Reischl (Eds.), in Proceedings 17th Workshop Computational Intelligence, Dortmund Germany (pp. 1–14).
LibreCat: /record/15783

Vladimirskiy, I., Hüllermeier, E., &; Stauch, E. (2007). Similarity search over uncertain archaeological data using a modified skyline operator. In D. C. Wilson &; D. Khemani (Eds.), In Workshop Proceedings from ICCBR-2007 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland (pp. 31–40).
LibreCat: /record/15784

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

Brinker, K., &; Hüllermeier, E. (2007). Label ranking in case-based reasoning. In M. Richter &; R. Weber (Eds.), In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland (Vol. 4626, pp. 77–91). Springer.
LibreCat: /record/14833

Beringer, J., &; Hüllermeier, E. (2007). Efficient instance-based learning on data streams. In P. Perner (Ed.), In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig (pp. 34–48). Springer.
LibreCat: /record/14834

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

Hüllermeier, E., &; Brinker, K. (2007). 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 (Vol. 1, pp. 353–360).
LibreCat: /record/15197

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

Hüllermeier, E., Weskamp, N., Klebe, G., &; Kuhn, D. (2007). 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.
LibreCat: /record/15199

Hüllermeier, E., &; Yi, Y. (2007). In defense of fuzzy association analysis. IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, 37(4), 1039–1043.
LibreCat: /record/16170

Hüllermeier, E. (2007). Credible case-based inference using similarity profiles. IEEE Transactions on Knowledge and Data Engineering, 19(5), 847–858.
LibreCat: /record/16171

Beringer, J., &; Hüllermeier, E. (2007). Efficient instance-based learning on data streams. Intelligent Data Analysis, 11(6), 627–650.
LibreCat: /record/16172

Dubois, D., &; Hüllermeier, E. (2007). Comparing probability measures using possibility theory: A notion of relative peakedness. International Journal of Approximate Reasoning, 45(2), 364–385.
LibreCat: /record/16175

Weskamp, N., Hüllermeier, E., Kuhn, D., &; Klebe, G. (2007). Multiple graph aligment for the structural analysis of protein active sites. IEEE/ACM Transactions of Computational Biology and Bioinformatics, 4(2), 310–320.
LibreCat: /record/16179

Karimi, I., &; Hüllermeier, E. (2007). Risk assessment for natural hazards: A new approach based on fuzzy probability. Fuzzy Sets and Systems, 158(9), 987–999.
LibreCat: /record/16194

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

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

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

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

Sulzmann, J. N., Fürnkranz, J., &; Hüllermeier, E. (2007). On pairwise Naive Bayes classifiers. In In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland. Springer.
LibreCat: /record/13601

Beringer, J., &; Hüllermeier, E. (2006). Adaptive optimization of the number of clusters in fuzzy clustering, Dortmund, Germany 2006. In R. Mikut &; M. Reischl (Eds.), in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany (pp. 140–149).
LibreCat: /record/15785

Hüllermeier, E., &; Brinker, K. (2006). Classification via fuzzy preference learning. In R. Mikut &; M. Reischl (Eds.), in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany (pp. 190–199).
LibreCat: /record/15786

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

Bade, K., Hüllermeier, E., &; Nürnberger, A. (2006). Hierarchical classification by expected utility maximization. In In Proceedings ICDM-2006, IEEE International Conference on Data Mining (pp. 43–52). IEEE Computer Society Press.
LibreCat: /record/14836

Brinker, K., &; Hüllermeier, E. (2006). Case-based label ranking. In In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006 (pp. 566–573). Springer.
LibreCat: /record/14837

Brinker, K., Fuernkranz, J., &; Hüllermeier, E. (2006). A unified model for multilabel classification and ranking. In G. Brewka, S. Coradeschi, A. Perini, &; P. Traverso (Eds.), In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva del Garda, Italy (pp. 489–493).
LibreCat: /record/14838

Hüllermeier, E. (2006). 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.
LibreCat: /record/15201

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

Dubois, D., Hüllermeier, E., &; Prade, H. (2006). A systematic approach to the assessment of fuzzy association rules. Data Mining and Knowledge Discovery, 13(2), 167–192.
LibreCat: /record/16173

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

Hüllermeier, E., &; Beringer, J. (2006). Learning from ambiguously labeled examples. Intelligent Data Analysis, 10(5), 419–440.
LibreCat: /record/16177

Beringer, J., &; Hüllermeier, E. (2006). Online clustering of parallel data streams. Data and Knowledge Engineering, 58(2), 180–204.
LibreCat: /record/16183

Karimi, I., Hüllermeier, E., &; Meskouris, K. (2006). A fuzzy-probablistic earthquake risk assessment system. Soft Computing, 11(3), 229–238.
LibreCat: /record/16195

Brinker, K., &; Hüllermeier, E. (2005). Calibrated label-ranking. In S. Agarwal, C. Cortes, &; R. Herbrich (Eds.), In Proceedings of the NIPS-2005 Workshop on Learning to Rank, Whistler, BC, Canada (pp. 1–6). http://web.mit.edu/shivani/www/Ranking-NIPS-05/.
LibreCat: /record/15799

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