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10588 Publications


2018 | Journal Article | LibreCat-ID: 14887
Application of Sentiment Analysis to Language Learning
M.-H. Chen, W.-F. Chen, L.-W. Ku, IEEE Access 6 (2018) 24433–24442.
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2018 | Journal Article | LibreCat-ID: 14888
中文情感語意分析套件 CSentiPackage 發展與應用
Chen W.-F., Ku L.-W., 圖書館學與資訊科學 (2018).
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2018 | Conference Paper | LibreCat-ID: 15081
RECUT: RE-Compressing partially Unordered Trees
S. Böttcher, R. Hartel, in: 2018 IEEE International Conference on Big Data (Big Data), 2018, pp. 3996–4005.
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2018 | Conference Paper | LibreCat-ID: 15082
Automated Genre and Author Distinction in Comics: Towards a Stylometry for Visual Narrative
A. Dunst, R. Hartel, in: Digital Humanities 2018: Book of Abstracts/Libro de Resúmenes, Red de Humanidades Digitales AC, 2018, pp. 184–187.
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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.
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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.
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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.
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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.
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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.
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