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9900 Publications


2018 | Book Chapter | LibreCat-ID: 15160
A. Dunst and R. Hartel, “The quantitative analysis of comics: Towards a visual stylometry of graphic narrative,” in Empirical Comics Research: Digital, Multimodal, and Cognitive Methods, A. Dunst, J. Laubrock, and J. Wildfeuer, Eds. Routledge, 2018, pp. 43–61.
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2018 | Conference Abstract | LibreCat-ID: 15183
A. Dunst and R. Hartel, “Auf dem Weg zur Visuellen Stilometrie:Automatische Genre- und Autorunterscheidung in graphischen Narrativen,” in DHd Konferenz 2018, Kritik der digitalen Vernunft, DHd 2018, 2018.
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2018 | Journal Article | LibreCat-ID: 16038
D. Schäfer and E. Hüllermeier, “Dyad ranking using Plackett-Luce models based on joint feature representations,” Machine Learning, vol. 107, no. 5, pp. 903–941, 2018.
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2018 | Preprint | LibreCat-ID: 16292 | OA
S. Peitz, “Controlling nonlinear PDEs using low-dimensional bilinear approximations  obtained from data,” arXiv:1801.06419. 2018.
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2018 | Preprint | LibreCat-ID: 16293 | OA
S. Klus, S. Peitz, and I. Schuster, “Analyzing high-dimensional time-series data using kernel transfer  operator eigenfunctions,” arXiv:1805.10118. 2018.
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2018 | Book Chapter | LibreCat-ID: 16392
B. Feldkord, M. Malatyali, and F. Meyer auf der Heide, “A Dynamic Distributed Data Structure for Top-k and k-Select Queries,” in Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Cham, 2018.
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2018 | Journal Article | LibreCat-ID: 1430 | OA
S. P. Hoffmann et al., “Tailored UV Emission by Nonlinear IR Excitation from ZnO Photonic Crystal Nanocavities,” ACS Photonics, vol. 5, pp. 1933–1942, 2018.
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2018 | Journal Article | LibreCat-ID: 13057
M. Kampmann and S. Hellebrand, “Design For Small Delay Test - A Simulation Study,” Microelectronics Reliability, vol. 80, pp. 124–133, 2018.
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2018 | Misc | LibreCat-ID: 13072
M. Kampmann and S. Hellebrand, 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, 2018.
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2018 | Journal Article | LibreCat-ID: 10129
M. A. Fiol, G. Mazzuoccolo, and E. Steffen, “Measures of Edge-Uncolorability of Cubic Graphs,” The Electronic Journal of Combinatorics, vol. 25, no. 4, 2018.
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2018 | Journal Article | LibreCat-ID: 10132
L. Jin, G. Mazzuoccolo, and E. Steffen, “Cores, joins  and the Fano-flow conjectures,” Discussiones Mathematicae Graph Theory, vol. 38, pp. 165–175, 2018.
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2018 | Journal Article | LibreCat-ID: 10142
E. Steffen, “Approximating Vizing’s independence number conjecture,” Australasian Journal of Combinatorics, vol. 71, no. 1, pp. 153–160, 2018.
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2018 | Conference Paper | LibreCat-ID: 10145
M. Ahmadi Fahandar and E. Hüllermeier, “Learning to Rank Based on Analogical Reasoning,” in Proc. 32 nd AAAI Conference on Artificial Intelligence (AAAI), 2018, pp. 2951–2958.
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2018 | Conference Paper | LibreCat-ID: 10148
A. El Mesaoudi-Paul, E. Hüllermeier, and R. Busa-Fekete, “Ranking Distributions based on Noisy Sorting,” in Proc. 35th Int. Conference on Machine Learning (ICML), 2018, pp. 3469–3477.
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2018 | Conference Paper | LibreCat-ID: 10149
M. Hesse, J. Timmermann, E. Hüllermeier, and A. Trächtler, “A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart,” in Proc. 4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, Procedia Manufacturing 24, 2018, pp. 15–20.
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2018 | Book Chapter | LibreCat-ID: 10152
E. L. Mencia, J. Fürnkranz, E. Hüllermeier, and M. Rapp, “Learning interpretable rules for multi-label classification,” in Explainable and Interpretable Models in Computer Vision and Machine Learning, H. Jair Escalante, S. Escalera, I. Guyon, X. Baro, Y. Güclüütürk, U. Güclü, and M. A. J. van Gerven, Eds. Springer, 2018, pp. 81–113.
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2018 | Conference Paper | LibreCat-ID: 10181
V.-L. Nguyen, S. Destercke, M.-H. Masson, and E. Hüllermeier, “Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty,” in Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI), 2018, pp. 5089–5095.
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2018 | Conference Paper | LibreCat-ID: 10184
D. Schäfer and E. Hüllermeier, “Preference-Based Reinforcement Learning Using Dyad Ranking,” in Proc. 21st Int. Conference on Discovery Science (DS), 2018, pp. 161–175.
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2018 | Journal Article | LibreCat-ID: 10276
D. Schäfer and E. Hüllermeier, “Dyad Ranking Using Plackett-Luce Models based on joint feature representations,” Machine Learning, vol. 107, no. 5, pp. 903–941, 2018.
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2018 | Journal Article | LibreCat-ID: 10331
J. Kiesel, F. Kneist, M. Alshomary, B. Stein, M. Hagen, and M. Potthast, “Reproducible Web Corpora,” Journal of Data and Information Quality, pp. 1–25, 2018.
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