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449 Publications


2011 | Conference Paper | LibreCat-ID: 15115
Nasiri, M., Hüllermeier, E., Senge, R., & Lughofer, E. (2011). 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 (p. RW-103-1-6).
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2011 | Conference Paper | LibreCat-ID: 15116
Lughofer, E., & Hüllermeier, E. (2011). On-line redundancy deletion in evolving fuzzy regression models using a fuzzy inclusion measure. In S. Galichet, J. Montero, & G. Mauris (Eds.), in Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-les-Bains, France (pp. 380–387).
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2011 | Conference Paper | LibreCat-ID: 15117
Fallah Tehrani, A., Cheng, W., & Hüllermeier, E. (2011). 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 (pp. 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. (2011). Multivariate modeling to identify patterns in clinical data: The example of chest pain. BMC Medical Research Methodology, 11(155).
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2011 | Journal Article | LibreCat-ID: 16126
Domshlak, C., Hüllermeier, E., Kaci, S., & Prade, H. (2011). Preferences in AL: An overview. Artificial Intelligence, 175(7–8), 1037–1052.
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2011 | Journal Article | LibreCat-ID: 16147
Hüllermeier, E. (2011). Fuzzy machine learning and data mining. WIREs Data Mining and Knowledge Discovery, 1(4), 269–283.
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2011 | Journal Article | LibreCat-ID: 16148
Mernberger, M., Klebe, G., & Hüllermeier, E. (2011). SEGA: Semi-global graph alignment for structure-based protein comparison. IEEE/ACM Transactions of Computational Biology and Bioinformatics, 8(5), 1330–1343.
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2011 | Journal Article | LibreCat-ID: 16149
Fober, T., Glinca, S., Klebe, G., & Hüllermeier, E. (2011). Superposition and alignment of labeled point clouds. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8(6), 1653–1666.
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2011 | Journal Article | LibreCat-ID: 16150
Hüllermeier, E. (2011). Fuzzy sets in machine learning and data mining. Applied Soft Computing Journal, 1493–1505.
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2011 | Journal Article | LibreCat-ID: 16153
Senge, R., & Hüllermeier, E. (2011). Top-down induction of fuzzy pattern trees. IEEE Transactions on Fuzzy Systems, 19(2), 241–252.
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2011 | Conference Paper | LibreCat-ID: 13194
Dembczynski, K., Waegeman, W., Cheng, W., & Hüllermeier, E. (2011). An exact algorithm for F-measure maximization. In In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain.
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2011 | Conference Paper | LibreCat-ID: 13196
Fürnkranz, J., & Hüllermeier, E. (2011). Learning from label preferences. In T. Elomaa, J. Hollmen, & H. Mannila (Eds.), in Proceedings DS-2011, 14th International  Conference on Discovery Science, number 6926 in LNAI (pp. 2–17). Springer.
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2011 | Conference Paper | LibreCat-ID: 13197
Fallah Tehrani, A., Cheng, W., Dembczynski, K., & Hüllermeier, E. (2011). 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,.
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2011 | Conference Paper | LibreCat-ID: 13198
Hüllermeier, E., & Schlegel, P. (2011). Preference-based CBR: First steps toward a methodological framework. In A. Ram & N. Wiratunga (Eds.), In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, number 6880 in LNAI (pp. 77–91). Springer.
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2011 | Conference Paper | LibreCat-ID: 13588
Kotlowski, W., Dembczynski, K., & Hüllermeier, E. (2011). Bipartite ranking through minimization of univariate loss. In in Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA.
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2010 | Book Chapter | LibreCat-ID: 15297
Hüllermeier, E., & Hühn, J. (2010). An Analysis of the FURIA algorithm for fuzzy rule induction. In J. Koronacki, Z. W. Ras, S. T. Wierzchon, & J. Kacprzyk (Eds.), Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski (Vol. 262, pp. 321–344). Springer.
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2010 | Book Chapter | LibreCat-ID: 15298
Fürnkranz, J., & Hüllermeier, E. (2010). Preference Learning: An Introduction. In J. Fürnkranz & E. Hüllermeier (Eds.), Preference Learning (pp. 1–18). Springer.
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2010 | Conference Paper | LibreCat-ID: 15765
Fober, T., Mernberger, M., Klebe, G., & Hüllermeier, E. (2010). Efficient similarity retrieval for protein binding sites based on histogram comparison. In In Proceedings GCB-2010 German Conference on Bioinformatics Braunschweig, Germany (pp. 51–60).
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2010 | Conference Paper | LibreCat-ID: 15772
Dembczynski, K., Waegeman, W., Cheng, W., & Hüllermeier, E. (2010). On label dependence in multi-label classification. In In Proceedings MLD-2010, 2nd International Workshop on Learning from Multi-Label Data, Haifa, Israel.
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2010 | Conference Paper | LibreCat-ID: 15118
Fober, T., & Hüllermeier, E. (2010). Similarity measures for protein structures based on fuzzy histogram comparison. In in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain.
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