D. Eckhoff, C. Sommer, and F. Dressler, “On the Necessity of Accurate IEEE 802.11P Models for IVC Protocol Simulation,” in 2012 IEEE 75th Vehicular Technology Conference (VTC Spring), 2012.
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DOI: 10.1109/vetecs.2012.6240064

S. Joerer, F. Dressler, and C. Sommer, “Comparing apples and oranges?,” in Proceedings of the ninth ACM international workshop on Vehicular inter-networking, systems, and applications - VANET ’12, 2012.
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S. Joerer, C. Sommer, and F. Dressler, “Toward reproducibility and comparability of IVC simulation studies: a literature survey,” IEEE Communications Magazine, pp. 82–88, 2012.
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F. Malandrino, C. Casetti, C. F. Chiasserini, C. Sommer, and F. Dressler, “Content downloading in vehicular networks: Bringing parked cars into the picture,” in 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC), 2012.
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M. Leinweber et al., “GPU-based cloud computing for comparing the structure of protein binding sites,” in in Proceedings IEEE Conference on Digital Ecosystem Technologies-Complex Environment Engineering Campione d`Italia, Italy, 2012.
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E. Hüllermeier and A. Fallah Tehrani, “Efficient learning of classifiers based on the 2-additive Choquet integral,” in Computational Intelligence in Intelligent Data Analysis, C. Moewes and A. Nürnberger, Eds. Springer, 2012, pp. 17–30.
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C. Schulte and J. Suhonen, “Koli Calling 2009 and 2010,” Computer Science Education, vol. 22, no. 2, pp. 79–80, 2012.
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C. Schulte et al., “Computer science at school/CS teacher education: Koli working-group report on CS at school,” in Koli Calling, 2012, pp. 29–38.
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C. Schulte, “Uncovering structure behind function: the experiment as teaching method in computer science education,” in WiPSCE, 2012, pp. 40–47.
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M. Bräuning and E. Hüllermeier, “Learning conditional lexicographic preference trees,” in In Workshops on Preference Learning at ECAI, European Conference on Artiticial intelligence, Montpellier, France, 2012.
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W.-F. Chen, C.-K. Kuo, Y.-R.  Wang, and S.-H.  Chen, “A Syllable-based Prosody Modeling for L1 and L2 English Speeches,” in Proceedings of the 8th International Symposium on Chinese Spoken Language Processing, 2012, pp. 281–285.
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S. Böttcher, R. Hartel, and S. Weber, “Efficient String-Based XML Stream Prefiltering,” in Proceedings of the Twenty-Third Australasian Database Conference, 2012, pp. 145–152.
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S. Böttcher, A. Bültmann, R. Hartel, and J. Schlüßler, “Fast Insertion and Deletion in Compressed Texts,” in 2012 Data Compression Conference, 2012, p. 393.
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E. Hüllermeier and A. Fallah Tehrani, “On the VC dimension of the Choquet integral,” in In Proceedings IPMU-2012 14th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Catania, Italy, 2012.
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A. Fallah Tehrani, W. Cheng, K. Dembczynski, and E. Hüllermeier, “Learning  monotone nonlinear models using the Choquet integral,” Machine Learning, vol. 89, no. 1, pp. 183–211, 2012.
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H. Bustince, M. Pagola, R. Mesiar, E. Hüllermeier, and F. Herrera, “Grouping, overlap and generalized bientropic functions for fuzzy modeling of pairwise comparisons,” IEEE Transactions on Fuzzy Systems, vol. 20, no. 3, pp. 405–415, 2012.
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J. Fürnkranz, E. Hüllermeier, W. Cheng, and S. H. Park, “Preference-based reinforcement learning: A formal framework and a policy iteration algorithm,” Machine Learning, vol. 89, no. 1, pp. 123–156, 2012.
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K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, “On label dependence and loss  minimization in multi-label classification,” Machine Learning, vol. 88, no. 1–2, pp. 5–45, 2012.
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A. Shaker and E. Hüllermeier, “IBL Streams: A system for instance-based classification and regression on data streams,” Evolving Systems, vol. 3, no. 4, pp. 235–249, 2012.
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M. Dolorez Ruiz and E. Hüllermeier, “A formal and empirical analysis of the fuzzy gamma rank correlation coefficient,” Information Sciences, vol. 206, pp. 1–17, 2012.
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