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1764 Publications
2015 | Journal Article | LibreCat-ID: 10165
Steffen, Eckhard. “1-Factor-and Cycle Covers of Cubic Graphs.” J. Graph Theory, vol. 78, no. 3, 2015, pp. 195 – 206.
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2015 | Journal Article | LibreCat-ID: 10166
Schubert, Michael, and Eckhard Steffen. “Nowhere-Zero Flows on Signed Regular Graphs.” European J. Combinatorics, vol. 48, 2015, pp. 34–47.
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2015 | Conference Paper | LibreCat-ID: 10234
Hüllermeier, Eyke, and M. Minor. “Case-Based Reasoning Research and Development .” In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343, Springer, 2015.
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2015 | Conference Paper | LibreCat-ID: 10235
Hoffmann, F., and Eyke Hüllermeier. Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing. 2015.
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2015 | Conference Paper | LibreCat-ID: 10236
Abdel-Aziz, A., and Eyke Hüllermeier. “Case Base Maintenance in Preference-Based CBR.” In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 2015, pp. 1–14.
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2015 | Conference Paper | LibreCat-ID: 10237
Szörényi, B., et al. “Qualitative Multi-Armed Bandits: A Quantile-Based Approach.” In Proceedings International Conference on Machine Learning (ICML 2015), 2015, pp. 1660–68.
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2015 | Conference Paper | LibreCat-ID: 10238
Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce Model.” In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 227–42.
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2015 | Conference Paper | LibreCat-ID: 10239
Hüllermeier, Eyke, and W. Cheng. “Superset Learning Based on Generalized Loss Minimization .” In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 260–75.
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2015 | Conference Paper | LibreCat-ID: 10240
Henzgen, Sascha, and Eyke Hüllermeier. “Weighted Rank Correlation : A Flexible Approach Based on Fuzzy Order Relations.” In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 422–37.
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2015 | Conference Paper | LibreCat-ID: 10241
Szörényi, B., et al. “Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach.” In Advances in Neural Information Processing Systems 28 (NIPS 2015), 2015, pp. 604–12.
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2015 | Conference Paper | LibreCat-ID: 10242
Szörényi, B., et al. “Online F-Measure Optimization.” In Advances in Neural Information Processing Systems 28 (NIPS 2015), 2015, pp. 595–603.
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2015 | Conference Paper | LibreCat-ID: 10243
El Mesaoudi-Paul, Adil, and Eyke Hüllermeier. “A CBR Approach to the Angry Birds Game.” In Workshop Proc. 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 2015, pp. 68–77.
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2015 | Conference Paper | LibreCat-ID: 10244
Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Meta- Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations.” In Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML), 2015, pp. 110–11.
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2015 | Conference Paper | LibreCat-ID: 10245
Lu, S., and Eyke Hüllermeier. “Locally Weighted Regression through Data Imprecisiation.” Proceedings 25. Workshop Computational Intelligence, 2015, pp. 97–104.
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2015 | Conference Paper | LibreCat-ID: 10246
Ewerth, Ralph, et al. “Depth Estimation in Monocular Images: Quantitative versus Qualitative Approaches.” Proceedings 25. Workshop Computational Intelligence, 2015, pp. 235–40.
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2015 | Dissertation | LibreCat-ID: 10293
Meier, Christian. IT Project Portfolio Selection in the Presence of Project Interactions. 2015.
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2015 | Dissertation | LibreCat-ID: 10294
Mutter, Tobias. On the Activating Power of Gamification – Empirical Evidence from an Online Community. 2015.
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2015 | Journal Article | LibreCat-ID: 10319
Waegeman, W., et al. “On the Bayes-Optimality of F-Measure Maximizers.” In Journal of Machine Learning Research, vol. 15, 2015, pp. 3333–88.
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2015 | Journal Article | LibreCat-ID: 10320
Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy Sets and Systems, vol. 281, 2015, pp. 292–99.
LibreCat
2015 | Journal Article | LibreCat-ID: 10321
Shaker, Ammar, and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing, vol. 150, 2015, pp. 250–64.
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