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Domik, G., Arens, S., Scharlau, I., &; Hilkenmeier, F. (2011). How useful is computer graphics for medical diagnoses? In INFORMATIK 2011 – Informatik schafft Communities (p. 437). Bonn: Gesellschaft für Informatik e.V.

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).

Domshlak, C., Hüllermeier, E., Kaci, S., &; Prade, H. (2011). Preferences in AL: An overview. Artificial Intelligence, 175(7–8), 1037–1052.

Hüllermeier, E. (2011). Fuzzy machine learning and data mining. WIREs Data Mining and Knowledge Discovery, 1(4), 269–283.

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.

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.

Warneke, D., &; Dannewitz, C. (2011). Load Balancing in P Networks: Using Statistics to Fight Data and Execution Skew. Journal of Advances in Information Technology, 2(1).https://doi.org/10.4304/jait.2.1.40-49 

Hüllermeier, E. (2011). Fuzzy sets in machine learning and data mining. Applied Soft Computing Journal, 1493–1505.

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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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.

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.

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,.

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.

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.

Agne, A., Platzner, M., &; Lübbers, E. (2011). Memory Virtualization for Multithreaded Reconfigurable Hardware. In Proceedings of the International Conference on Field Programmable Logic and Applications (FPL) (pp. 185–188). IEEE.https://doi.org/10.1109/fpl.2011.42 

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