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448 Publications


2009 | Journal Article | LibreCat-ID: 16159
Hüllermeier, E., & Vanderlooy, S. (2009). Why fuzzy decision trees are good rankers. IEEE Transactions on Fuzzy Systems, 17(6), 1233–1244.
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2009 | Journal Article | LibreCat-ID: 16161
Yi, Y., Fober, T., & Hüllermeier, E. (2009). Fuzzy operator trees for modeling rating functions. International Journal of Computational Intelligence and Applications, 8(4), 413–428.
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2009 | Journal Article | LibreCat-ID: 16162
Fober, T., Mernberger, M., Klebe, G., & Hüllermeier, E. (2009). Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. Bioinformatics, 25(16), 2110–2117.
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2009 | Journal Article | LibreCat-ID: 16163
Hühn, J., & Hüllermeier, E. (2009). FR3: A fuzzy rule learner for inducing reliable classifiers. IEEE Transactions on Fuzzy Systems, 17(1), 138–149.
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2009 | Journal Article | LibreCat-ID: 16165
Hüllermeier, E., Vladimirskiy, I., Prados Suarez, B., & Stauch, E. (2009). Supporting case-based retrieval by similarity skylines: Basic concepts and extensions. Künstliche Intelligenz, 1(09), 24–29.
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2009 | Book Chapter | LibreCat-ID: 10188
Hüllermeier, E. (2009). On the usefulness of fuzzy sets in data mining. In R. Seising (Ed.), Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications (pp. 457–470). Springer.
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2009 | Conference Paper | LibreCat-ID: 13595
Cheng, W., Hühn, J., & Hüllermeier, E. (2009). Decision tree and instance-based learning for label ranking. In in Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada (pp. 161–168).
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2009 | Conference Paper | LibreCat-ID: 13596
Fürnkranz, J., Hüllermeier, E., & Vanderlooy, S. (2009). 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.
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2009 | Conference Paper | LibreCat-ID: 13598
Cheng, W., & Hüllermeier, E. (2009). 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 (pp. 707–716). Springer.
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2008 | Conference Paper | LibreCat-ID: 15779
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).
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2008 | Conference Paper | LibreCat-ID: 15780
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).
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2008 | Conference Paper | LibreCat-ID: 15781
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).
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2008 | Journal Article | LibreCat-ID: 16164
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.
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2008 | Journal Article | LibreCat-ID: 16166
Hüllermeier, E., Fürnkranz, J., Cheng, W., & Brinker, K. (2008). Label ranking by learning pairwise preferences. Artificial Intelligence, 172, 1897–1917.
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2008 | Journal Article | LibreCat-ID: 16167
Vanderlooy, S., & Hüllermeier, E. (2008). A critical analysis of variants of the AUC. Machine Learning, 72, 247–272.
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2008 | Journal Article | LibreCat-ID: 16168
Fürnkranz, J., Hüllermeier, E., Mencia, E., & Brinker, K. (2008). Multilabel classification via calibrated label ranking. Machine Learning, 73(2), 133–153.
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2008 | Journal Article | LibreCat-ID: 16169
Hüllermeier, E., & Brinker, K. (2008). Learning valued preference structures for solving classification problems. Fuzzy Sets and Systems, 159(18), 2337–2352.
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2008 | Journal Article | LibreCat-ID: 16184
Beringer, J., & Hüllermeier, E. (2008). Case-based learning in a bipolar possibilistic framework. International Journal of Intelligent Systems, 23(10), 1119–1134.
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2008 | Book Chapter | LibreCat-ID: 16225
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.
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2008 | Book Chapter | LibreCat-ID: 10154
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.
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2008 | Book Chapter | LibreCat-ID: 10185
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.
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2008 | Conference Paper | LibreCat-ID: 13599
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).
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2008 | Conference Paper | LibreCat-ID: 13600
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.
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2007 | Conference Paper | LibreCat-ID: 15782
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).
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2007 | Conference Paper | LibreCat-ID: 15783
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).
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2007 | Conference Paper | LibreCat-ID: 15784
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).
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2007 | Conference Paper | LibreCat-ID: 14832
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.
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2007 | Conference Paper | LibreCat-ID: 14833
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.
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2007 | Conference Paper | LibreCat-ID: 14834
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.
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2007 | Conference Paper | LibreCat-ID: 14835
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).
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2007 | Conference Paper | LibreCat-ID: 15197
Hüllermeier, E., & Brinker, K. (2007). 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, pp. 353–360).
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2007 | Conference Paper | LibreCat-ID: 15198
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.
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2007 | Conference Paper | LibreCat-ID: 15199
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.
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2007 | Journal Article | LibreCat-ID: 16170
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.
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2007 | Journal Article | LibreCat-ID: 16171
Hüllermeier, E. (2007). Credible case-based inference using similarity profiles. IEEE Transactions on Knowledge and Data Engineering, 19(5), 847–858.
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2007 | Journal Article | LibreCat-ID: 16172
Beringer, J., & Hüllermeier, E. (2007). Efficient instance-based learning on data streams. Intelligent Data Analysis, 11(6), 627–650.
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2007 | Journal Article | LibreCat-ID: 16175
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.
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2007 | Journal Article | LibreCat-ID: 16179
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.
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2007 | Journal Article | LibreCat-ID: 16194
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.
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2007 | Book Chapter | LibreCat-ID: 16224
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.
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2007 | Book Chapter | LibreCat-ID: 16226
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.
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2007 | Book Chapter | LibreCat-ID: 16227
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.
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2007 | Book | LibreCat-ID: 16282
Hüllermeier, E. (2007). Case-based Approximate Reasoning (Vol. 44). Springer.
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2007 | Conference Paper | LibreCat-ID: 13601
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.
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2006 | Conference Paper | LibreCat-ID: 15785
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).
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2006 | Conference Paper | LibreCat-ID: 15786
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).
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2006 | Conference Paper | LibreCat-ID: 15798
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).
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2006 | Conference Paper | LibreCat-ID: 14836
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.
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2006 | Conference Paper | LibreCat-ID: 14837
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.
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2006 | Conference Paper | LibreCat-ID: 14838
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).
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