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9900 Publications


2018 | Book Chapter | LibreCat-ID: 15160
The quantitative analysis of comics: Towards a visual stylometry of graphic narrative
A. Dunst, R. Hartel, in: A. Dunst, J. Laubrock, J. Wildfeuer (Eds.), Empirical Comics Research: Digital, Multimodal, and Cognitive Methods, Routledge, 2018, pp. 43–61.
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2018 | Conference Abstract | LibreCat-ID: 15183
Auf dem Weg zur Visuellen Stilometrie:Automatische Genre- und Autorunterscheidung in graphischen Narrativen
A. Dunst, R. Hartel, in: DHd Konferenz 2018, Kritik Der Digitalen Vernunft, DHd 2018, 2018.
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2018 | Journal Article | LibreCat-ID: 16038
Dyad ranking using Plackett-Luce models based on joint feature representations
D. Schäfer, E. Hüllermeier, Machine Learning 107 (2018) 903–941.
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2018 | Preprint | LibreCat-ID: 16292 | OA LibreCat | Download (ext.)
 

2018 | Preprint | LibreCat-ID: 16293 | OA LibreCat | Download (ext.)
 

2018 | Book Chapter | LibreCat-ID: 16392
A Dynamic Distributed Data Structure for Top-k and k-Select Queries
B. Feldkord, M. Malatyali, F. Meyer auf der Heide, in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Cham, 2018.
LibreCat | DOI
 

2018 | Journal Article | LibreCat-ID: 1430 | OA
Tailored UV Emission by Nonlinear IR Excitation from ZnO Photonic Crystal Nanocavities
S.P. Hoffmann, M. Albert, N. Weber, D. Sievers, J. Förstner, T. Zentgraf, C. Meier, ACS Photonics 5 (2018) 1933–1942.
LibreCat | Files available | DOI
 

2018 | Journal Article | LibreCat-ID: 13057
Design For Small Delay Test - A Simulation Study
M. Kampmann, S. Hellebrand, Microelectronics Reliability 80 (2018) 124–133.
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2018 | Misc | LibreCat-ID: 13072
Optimized Constraints for Scan-Chain Insertion for Faster-than-at-Speed Test
M. Kampmann, 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
Measures of Edge-Uncolorability of Cubic Graphs
M.A. Fiol, G. Mazzuoccolo, E. Steffen, The Electronic Journal of Combinatorics 25 (2018).
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2018 | Journal Article | LibreCat-ID: 10132
Cores, joins and the Fano-flow conjectures
L. Jin, G. Mazzuoccolo, E. Steffen, Discussiones Mathematicae Graph Theory 38 (2018) 165–175.
LibreCat | DOI
 

2018 | Journal Article | LibreCat-ID: 10142
Approximating Vizing’s independence number conjecture
E. Steffen, Australasian Journal of Combinatorics 71 (2018) 153–160.
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2018 | Conference Paper | LibreCat-ID: 10145
Learning to Rank Based on Analogical Reasoning
M. Ahmadi Fahandar, E. Hüllermeier, in: Proc. 32 Nd AAAI Conference on Artificial Intelligence (AAAI), 2018, pp. 2951–2958.
LibreCat
 

2018 | Conference Paper | LibreCat-ID: 10148
Ranking Distributions based on Noisy Sorting
A. El Mesaoudi-Paul, E. Hüllermeier, R. Busa-Fekete, in: Proc. 35th Int. Conference on Machine Learning (ICML), Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, 2018, pp. 3469–3477.
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2018 | Conference Paper | LibreCat-ID: 10149
A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart
M. Hesse, J. Timmermann, E. Hüllermeier, A. Trächtler, 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
Learning interpretable rules for multi-label classification
E.L. Mencia, J. Fürnkranz, E. Hüllermeier, M. Rapp, 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, Springer, 2018, pp. 81–113.
LibreCat
 

2018 | Conference Paper | LibreCat-ID: 10181
Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty
V.-L. Nguyen, S. Destercke, M.-H. Masson, E. Hüllermeier, in: Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI), 2018, pp. 5089–5095.
LibreCat
 

2018 | Conference Paper | LibreCat-ID: 10184
Preference-Based Reinforcement Learning Using Dyad Ranking
D. Schäfer, E. Hüllermeier, in: Proc. 21st Int. Conference on Discovery Science (DS), 2018, pp. 161–175.
LibreCat
 

2018 | Journal Article | LibreCat-ID: 10276
Dyad Ranking Using Plackett-Luce Models based on joint feature representations
D. Schäfer, E. Hüllermeier, Machine Learning 107 (2018) 903–941.
LibreCat
 

2018 | Journal Article | LibreCat-ID: 10331
Reproducible Web Corpora
J. Kiesel, F. Kneist, M. Alshomary, B. Stein, M. Hagen, M. Potthast, Journal of Data and Information Quality (2018) 1–25.
LibreCat | DOI | Download (ext.)
 

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