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9900 Publications
2018 | Book Chapter | LibreCat-ID: 15160
Dunst A, Hartel R. The quantitative analysis of comics: Towards a visual stylometry of graphic narrative. In: Dunst A, Laubrock J, Wildfeuer J, eds. Empirical Comics Research: Digital, Multimodal, and Cognitive Methods. Routledge; 2018:43-61.
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2018 | Conference Abstract | LibreCat-ID: 15183
Dunst A, Hartel R. Auf dem Weg zur Visuellen Stilometrie:Automatische Genre- und Autorunterscheidung in graphischen Narrativen. In: DHd Konferenz 2018, Kritik Der Digitalen Vernunft, DHd 2018. ; 2018.
LibreCat
2018 | Journal Article | LibreCat-ID: 16038
Schäfer D, Hüllermeier E. Dyad ranking using Plackett-Luce models based on joint feature representations. Machine Learning. 2018;107(5):903-941.
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2018 | Preprint | LibreCat-ID: 16292 | 
Peitz S. Controlling nonlinear PDEs using low-dimensional bilinear approximations obtained from data. arXiv:180106419. 2018.
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2018 | Preprint | LibreCat-ID: 16293 |
Klus S, Peitz S, Schuster I. Analyzing high-dimensional time-series data using kernel transfer operator eigenfunctions. arXiv:180510118. 2018.
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2018 | Book Chapter | LibreCat-ID: 16392
Feldkord B, Malatyali M, Meyer auf der Heide F. 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. doi:10.1007/978-3-319-98355-4_18
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2018 | Journal Article | LibreCat-ID: 1430 |
Hoffmann SP, Albert M, Weber N, et al. Tailored UV Emission by Nonlinear IR Excitation from ZnO Photonic Crystal Nanocavities. ACS Photonics. 2018;5:1933-1942. doi:10.1021/acsphotonics.7b01228
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2018 | Journal Article | LibreCat-ID: 13057
Kampmann M, Hellebrand S. Design For Small Delay Test - A Simulation Study. Microelectronics Reliability. 2018;80:124-133.
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2018 | Misc | LibreCat-ID: 13072
Kampmann M, Hellebrand S. 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
Fiol MA, Mazzuoccolo G, Steffen E. Measures of Edge-Uncolorability of Cubic Graphs. The Electronic Journal of Combinatorics. 2018;25(4).
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2018 | Journal Article | LibreCat-ID: 10132
Jin L, Mazzuoccolo G, Steffen E. Cores, joins and the Fano-flow conjectures. Discussiones Mathematicae Graph Theory. 2018;38:165-175. doi:10.7151/dmgt.1999
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| DOI
2018 | Journal Article | LibreCat-ID: 10142
Steffen E. Approximating Vizing’s independence number conjecture. Australasian Journal of Combinatorics. 2018;71(1):153-160.
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2018 | Conference Paper | LibreCat-ID: 10145
Ahmadi Fahandar M, Hüllermeier E. Learning to Rank Based on Analogical Reasoning. In: Proc. 32 Nd AAAI Conference on Artificial Intelligence (AAAI). ; 2018:2951-2958.
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2018 | Conference Paper | LibreCat-ID: 10148
El Mesaoudi-Paul A, Hüllermeier E, Busa-Fekete R. Ranking Distributions based on Noisy Sorting. In: Proc. 35th Int. Conference on Machine Learning (ICML). Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn. Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn; 2018:3469-3477.
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2018 | Conference Paper | LibreCat-ID: 10149
Hesse M, Timmermann J, Hüllermeier E, Trächtler A. 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. ; 2018:15-20.
LibreCat
2018 | Book Chapter | LibreCat-ID: 10152
Mencia EL, Fürnkranz J, Hüllermeier E, Rapp M. Learning interpretable rules for multi-label classification. In: Jair Escalante H, Escalera S, Guyon I, et al., eds. Explainable and Interpretable Models in Computer Vision and Machine Learning. The Springer Series on Challenges in Machine Learning. Springer; 2018:81-113.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10181
Nguyen V-L, Destercke S, Masson M-H, Hüllermeier E. Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty. In: Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI). ; 2018:5089-5095.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10184
Schäfer D, Hüllermeier E. Preference-Based Reinforcement Learning Using Dyad Ranking. In: Proc. 21st Int. Conference on Discovery Science (DS). ; 2018:161-175.
LibreCat
2018 | Journal Article | LibreCat-ID: 10276
Schäfer D, Hüllermeier E. Dyad Ranking Using Plackett-Luce Models based on joint feature representations. Machine Learning. 2018;107(5):903-941.
LibreCat
2018 | Journal Article | LibreCat-ID: 10331
Kiesel J, Kneist F, Alshomary M, Stein B, Hagen M, Potthast M. Reproducible Web Corpora. Journal of Data and Information Quality. 2018:1-25. doi:10.1145/3239574
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