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9305 Publications
2015 | Conference Abstract | LibreCat-ID: 15185
Dunst A, Hartel R, Hohenstein S, Laubrock J. Digitale Analyse Graphischer Literatur. In: DHd-Tagung 2015 - Von Daten Zu Erkenntnissen. ; 2015.
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2015 | Journal Article | LibreCat-ID: 16049
Senge R, Hüllermeier E. Fast fuzzy pattern tree learning for classification . IEEE Transactions on Fuzzy Systems. 2015;23(6):2024-2033.
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2015 | Journal Article | LibreCat-ID: 16051
Hüllermeier E. From knowledge-based to data driven fuzzy modeling: Development, criticism and alternative directions. Informatik Spektrum. 2015;38(6):500-509.
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2015 | Journal Article | LibreCat-ID: 16053
Hüllermeier E. Does machine learning need fuzzy logic? Fuzzy Sets and Systems. 2015;281:292-299.
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2015 | Journal Article | LibreCat-ID: 16058
Waegeman W, Dembczynski K, Jachnik A, Cheng W, Hüllermeier E. On the Bayes-optimality of F-measure maximizers. Journal of Machine Learning Research. 2015;15:3313-3368.
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2015 | Journal Article | LibreCat-ID: 16067
Shaker A, Hüllermeier E. Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. Neurocomputing. 2015;150:250-264.
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2015 | Conference Paper | LibreCat-ID: 1636
Auroux S, Draxler M, Morelli A, Mancuso V. Dynamic network reconfiguration in wireless DenseNets with the CROWD SDN architecture. In: 2015 European Conference on Networks and Communications (EuCNC). IEEE; 2015. doi:10.1109/eucnc.2015.7194057
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| DOI
2015 | Journal Article | LibreCat-ID: 16391
Degener B, Kempkes B, Kling P, Meyer auf der Heide F. Linear and Competitive Strategies for Continuous Robot Formation Problems. ACM Transactions on Parallel Computing. 2015:1-18. doi:10.1145/2742341
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| DOI
2015 | Conference Paper | LibreCat-ID: 13153
Graf T, Platzner M. Adaptive Playouts in Monte-Carlo Tree Search with Policy-Gradient Reinforcement Learning. In: Advances in Computer Games: 14th International Conference, ACG 2015, Leiden, The Netherlands, July 1-3, 2015, Revised Selected Papers. Springer International Publishing; 2015:1-11. doi:10.1007/978-3-319-27992-3_1
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| DOI
2015 | Conference Paper | LibreCat-ID: 13222
Webersen M, Bause F, Rautenberg J, Henning B. Identification of temperature-dependent model parameters of ultrasonic piezo-composite transducers. In: AMA Service GmbH, ed. AMA Conferences 2015. ; 2015:195-200.
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2015 | Journal Article | LibreCat-ID: 10030
Friedrich M, Riefer A, Sanna S, Schmidt WG, Schindlmayr A. Phonon dispersion and zero-point renormalization of LiNbO3 from density-functional perturbation theory. Journal of Physics: Condensed Matter. 2015;27(38). doi:10.1088/0953-8984/27/38/385402
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| PubMed | Europe PMC
2015 | Journal Article | LibreCat-ID: 10162
Steffen E. Intersecting 1-factors and nowhere-zero 5-flows. Combinatorica. 2015;35:633-640.
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2015 | Journal Article | LibreCat-ID: 10165
Steffen E. 1-factor-and cycle covers of cubic graphs. J Graph Theory. 2015;78(3):195 – 206.
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2015 | Conference Paper | LibreCat-ID: 10234
Hüllermeier E, Minor M. Case-Based Reasoning Research and Development . In: 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, Hüllermeier E. Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing. In: ; 2015.
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2015 | Conference Paper | LibreCat-ID: 10236
Abdel-Aziz A, Hüllermeier E. Case Base Maintenance in Preference-Based CBR. In: In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015). ; 2015:1-14.
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2015 | Conference Paper | LibreCat-ID: 10237
Szörényi B, Busa-Fekete R, Weng P, Hüllermeier E. Qualitative Multi-Armed Bandits: A Quantile-Based Approach. In: In Proceedings International Conference on Machine Learning (ICML 2015). ; 2015:1660-1668.
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2015 | Conference Paper | LibreCat-ID: 10238
Schäfer D, Hüllermeier E. Dyad Ranking Using A Bilinear Plackett-Luce Model. In: In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD). ; 2015:227-242.
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2015 | Conference Paper | LibreCat-ID: 10239
Hüllermeier E, Cheng W. Superset Learning Based on Generalized Loss Minimization . In: In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD). ; 2015:260-275.
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