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10111 Publications
2018 | Conference Paper | LibreCat-ID: 15906 | 
H. Böck, J. Somorovsky, and C. Young, “Return Of Bleichenbacher\textquoterights Oracle Threat (ROBOT),” in 27th {USENIX} Security Symposium ({USENIX} Security 18), 2018, pp. 817–849.
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2018 | Journal Article | LibreCat-ID: 14886
W.-F. Chen and L.-W. Ku, “We Like, We Post: A Joint User-Post Approach for Facebook Post Stance Labeling,” IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 10, pp. 2013–2023, 2018.
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2018 | Journal Article | LibreCat-ID: 14887
M.-H. Chen, W.-F. Chen, and L.-W. Ku, “Application of Sentiment Analysis to Language Learning,” IEEE Access, vol. 6, pp. 24433–24442, 2018.
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2018 | Journal Article | LibreCat-ID: 14888
Chen W.-F. and Ku L.-W., “中文情感語意分析套件 CSentiPackage 發展與應用,” 圖書館學與資訊科學, 2018.
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2018 | Conference Paper | LibreCat-ID: 15082
A. Dunst and R. Hartel, “Automated Genre and Author Distinction in Comics: Towards a Stylometry for Visual Narrative,” in Digital Humanities 2018: Book of Abstracts/Libro de resúmenes, 2018, pp. 184–187.
LibreCat
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.
LibreCat
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 | Working Paper | LibreCat-ID: 15206
C.-J. Haake and N. Stroh-Maraun, A Note on Manipulability in School Choice with Reciprocal Preferences, vol. 111. CIE Working Paper Series, Paderborn University, 2018.
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2018 | Working Paper | LibreCat-ID: 15207
P. Duman, Does Informational Equivalence Preserve Strategic Behavior? An Experimental Study on Trockel’s Game, vol. 117. CIE Working Paper Series, Paderborn University, 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.
LibreCat
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.
LibreCat
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.
LibreCat
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.
LibreCat
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.
LibreCat
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.
LibreCat
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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