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10111 Publications
2018 | Conference Paper | LibreCat-ID: 15906 | 
Böck H, Somorovsky J, Young C. Return Of Bleichenbacher\textquoterights Oracle Threat (ROBOT). In: 27th {USENIX} Security Symposium ({USENIX} Security 18). Baltimore, MD: {USENIX} Association; 2018:817-849.
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2018 | Journal Article | LibreCat-ID: 14886
Chen W-F, Ku L-W. We Like, We Post: A Joint User-Post Approach for Facebook Post Stance Labeling. IEEE Transactions on Knowledge and Data Engineering. 2018;30(10):2013-2023.
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2018 | Journal Article | LibreCat-ID: 14887
Chen M-H, Chen W-F, Ku L-W. Application of Sentiment Analysis to Language Learning. IEEE Access. 2018;6:24433-24442.
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2018 | Journal Article | LibreCat-ID: 14888
Chen W-F, 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: 15081
Böttcher S, Hartel R. RECUT: RE-Compressing partially Unordered Trees. In: 2018 IEEE International Conference on Big Data (Big Data). ; 2018:3996-4005. doi:10.1109/bigdata.2018.8622261
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2018 | Conference Paper | LibreCat-ID: 15082
Dunst A, Hartel R. Automated Genre and Author Distinction in Comics: Towards a Stylometry for Visual Narrative. In: Digital Humanities 2018: Book of Abstracts/Libro de Resúmenes. Red de Humanidades Digitales AC; 2018:184-187.
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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.
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2018 | Working Paper | LibreCat-ID: 15206
Haake C-J, Stroh-Maraun N. 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
Duman P. 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
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 | 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: 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 | 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.
LibreCat
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.
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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.
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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.
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