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9900 Publications
2018 | Book Chapter | LibreCat-ID: 15160
Dunst, A., & Hartel, R. (2018). The quantitative analysis of comics: Towards a visual stylometry of graphic narrative. In A. Dunst, J. Laubrock, & J. Wildfeuer (Eds.), Empirical Comics Research: Digital, Multimodal, and Cognitive Methods (pp. 43–61). Routledge.
LibreCat
2018 | Conference Abstract | LibreCat-ID: 15183
Dunst, A., & Hartel, R. (2018). Auf dem Weg zur Visuellen Stilometrie:Automatische Genre- und Autorunterscheidung in graphischen Narrativen. In DHd Konferenz 2018, Kritik der digitalen Vernunft, DHd 2018.
LibreCat
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 | Preprint | LibreCat-ID: 16292 | 
Peitz, S. (2018). Controlling nonlinear PDEs using low-dimensional bilinear approximations obtained from data. ArXiv:1801.06419.
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2018 | Preprint | LibreCat-ID: 16293 |
Klus, S., Peitz, S., & Schuster, I. (2018). Analyzing high-dimensional time-series data using kernel transfer operator eigenfunctions. ArXiv:1805.10118.
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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 | Journal Article | LibreCat-ID: 1430 |
Hoffmann, S. P., Albert, M., Weber, N., Sievers, D., Förstner, J., Zentgraf, T., & Meier, C. (2018). Tailored UV Emission by Nonlinear IR Excitation from ZnO Photonic Crystal Nanocavities. ACS Photonics, 5, 1933–1942. https://doi.org/10.1021/acsphotonics.7b01228
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2018 | Journal Article | LibreCat-ID: 13057
Kampmann, M., & Hellebrand, S. (2018). Design For Small Delay Test - A Simulation Study. Microelectronics Reliability, 80, 124–133.
LibreCat
2018 | Misc | LibreCat-ID: 13072
Kampmann, M., & Hellebrand, S. (2018). Optimized Constraints for Scan-Chain Insertion for Faster-than-at-Speed Test. 19th Workshop on RTL and High Level Testing (WRTLT’18), Hefei, Anhui, China.
LibreCat
2018 | Journal Article | LibreCat-ID: 10129
Fiol, M. A., Mazzuoccolo, G., & Steffen, E. (2018). Measures of Edge-Uncolorability of Cubic Graphs. The Electronic Journal of Combinatorics, 25(4).
LibreCat
2018 | Journal Article | LibreCat-ID: 10132
Jin, L., Mazzuoccolo, G., & Steffen, E. (2018). Cores, joins and the Fano-flow conjectures. Discussiones Mathematicae Graph Theory, 38, 165–175. https://doi.org/10.7151/dmgt.1999
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| DOI
2018 | Journal Article | LibreCat-ID: 10142
Steffen, E. (2018). Approximating Vizing’s independence number conjecture. Australasian Journal of Combinatorics, 71(1), 153–160.
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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.
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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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