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6112 Publications
2018 | Journal Article | LibreCat-ID: 16038
Schäfer, D., & Hüllermeier, E. (2018). Dyad ranking using Plackett-Luce models based on joint feature representations. Machine Learning, 107(5), 903–941.
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2018 | Book Chapter | LibreCat-ID: 16392
Feldkord, B., Malatyali, M., & Meyer auf der Heide, F. (2018). A Dynamic Distributed Data Structure for Top-k and k-Select Queries. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Cham. https://doi.org/10.1007/978-3-319-98355-4_18
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2018 | Conference Paper | LibreCat-ID: 10145
Ahmadi Fahandar, M., & Hüllermeier, E. (2018). Learning to Rank Based on Analogical Reasoning. In Proc. 32 nd AAAI Conference on Artificial Intelligence (AAAI) (pp. 2951–2958).
LibreCat
2018 | Conference Paper | LibreCat-ID: 10148
El Mesaoudi-Paul, A., Hüllermeier, E., & Busa-Fekete, R. (2018). Ranking Distributions based on Noisy Sorting. Proc. 35th Int. Conference on Machine Learning (ICML), 3469–3477.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10149
Hesse, M., Timmermann, J., Hüllermeier, E., & Trächtler, A. (2018). A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart. Proc. 4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, Procedia Manufacturing 24, 15–20.
LibreCat
2018 | Book Chapter | LibreCat-ID: 10152
Mencia, E. L., Fürnkranz, J., Hüllermeier, E., & Rapp, M. (2018). Learning interpretable rules for multi-label classification. In H. Jair Escalante, S. Escalera, I. Guyon, X. Baro, Y. Güclüütürk, U. Güclü, & M. A. J. van Gerven (Eds.), Explainable and Interpretable Models in Computer Vision and Machine Learning (pp. 81–113). Springer.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10181
Nguyen, V.-L., Destercke, S., Masson, M.-H., & Hüllermeier, E. (2018). Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty. Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI), 5089–5095.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10184
Schäfer, D., & Hüllermeier, E. (2018). Preference-Based Reinforcement Learning Using Dyad Ranking. Proc. 21st Int. Conference on Discovery Science (DS), 161–175.
LibreCat
2018 | Journal Article | LibreCat-ID: 10276
Schäfer, D., & Hüllermeier, E. (2018). Dyad Ranking Using Plackett-Luce Models based on joint feature representations. Machine Learning, 107(5), 903–941.
LibreCat
2018 | Journal Article | LibreCat-ID: 10331
Kiesel, J., Kneist, F., Alshomary, M., Stein, B., Hagen, M., & Potthast, M. (2018). Reproducible Web Corpora. Journal of Data and Information Quality, 1–25. https://doi.org/10.1145/3239574
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2018 | Journal Article | LibreCat-ID: 1369
Drees, M., Feldotto, M., Riechers, S., & Skopalik, A. (2018). Pure Nash equilibria in restricted budget games. Journal of Combinatorial Optimization. https://doi.org/10.1007/s10878-018-0269-7
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2018 | Mastersthesis | LibreCat-ID: 5417 | 
Ramaswami, A. (2018). Accelerating Molecular Dynamic Simulations by Offloading Fast Fourier Transformations to FPGA. Universität Paderborn.
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2018 | Conference Paper | LibreCat-ID: 11710
Chen, W.-F., Wachsmuth, H., Al Khatib, K., & Stein, B. (2018). Learning to Flip the Bias of News Headlines. Proceedings of the 11th International Conference on Natural Language Generation, 79–88.
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2018 | Conference Paper | LibreCat-ID: 14873
Chen, W.-F., Hagen, M., Stein, B., & Potthast, M. (2018). A User Study on Snippet Generation: Text Reuse vs. Paraphrases. Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 1033–1036.
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2018 | Conference Paper | LibreCat-ID: 14885
Potthast, M., Chen, W.-F., Hagen, M., & Stein, B. (2018). A Plan for Ancillary Copyright: Original Snippets. Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval, 3–5.
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2018 | Conference Paper | LibreCat-ID: 5831 |
Wolters, D., Heindorf, S., Kirchhoff, J., & Engels, G. (2018). Semantic Data Mediator: Linking Services to Websites. In L. Braubach, J. M. Murillo, N. Kaviani, M. Lama, L. Burgueño, N. Moha, & M. Oriol (Eds.), Service-Oriented Computing -- ICSOC 2017 Workshops (pp. 388–392). Springer International Publishing. https://doi.org/10.1007/978-3-319-91764-1_36
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2018 | Conference Abstract | LibreCat-ID: 1379 |
Seemann, N., Geierhos, M., Merten, M.-L., Tophinke, D., Wever, M. D., & Hüllermeier, E. (2018). Supporting the Cognitive Process in Annotation Tasks. In K. Eckart & D. Schlechtweg (Eds.), Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft.
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2018 | Conference Paper | LibreCat-ID: 3873 |
Blömer, J., Eidens, F., & Juhnke, J. (2018). Enhanced Security of Attribute-Based Signatures. The International Conference on Cryptology And Network Security (CANS), 11124, 235–255. https://doi.org/10.1007/978-3-030-00434-7_12
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2018 | Conference Paper | LibreCat-ID: 2379 |
Blömer, J., & Bobolz, J. (n.d.). Delegatable Attribute-based Anonymous Credentials from Dynamically Malleable Signatures. ACNS 2018 Applied Cryptography & Network Security. The 16th International Conference on Applied Cryptography and Network Security, Leuven, Belgium. https://doi.org/10.1007/978-3-319-93387-0_12
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2018 | Conference Paper | LibreCat-ID: 48303
Habernal, I., Wachsmuth, H., Gurevych, I., & Stein, B. (2018). The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). https://doi.org/10.18653/v1/n18-1175
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