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5786 Publications
2018 | Conference Paper | LibreCat-ID: 15585
Bednarik, R., Schulte, C., Budde, L., Heinemann, B., & Vrzakova, H. (2018). Eye-movement Modeling Examples in Source Code Comprehension: A Classroom Study. In Proceedings of the 18th Koli Calling International Conference on Computing Education Research, Koli, Finland, November 22-25, 2018 (pp. 2:1-2:8). https://doi.org/10.1145/3279720.3279722
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| DOI
2018 | Conference Paper | LibreCat-ID: 15586
Müller, K., & Schulte, C. (2018). Are children perceiving robots as supporting or replacing humans?: first empirical results and classification of preconceptions within a theoretical framework. In Proceedings of the 13th Workshop in Primary and Secondary Computing Education, WiPSCE 2018, Potsdam, Germany, October 04-06, 2018 (pp. 10:1-10:4). https://doi.org/10.1145/3265757.3265767
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| DOI
2018 | Conference Paper | LibreCat-ID: 15587
Schulte, C., Krüger, J., Gödecke, A., & Schmidt, A.-K. (2018). The computing repair cafe: a concept for repair cafes in computing edcuation. In Proceedings of the 13th Workshop in Primary and Secondary Computing Education, WiPSCE 2018, Potsdam, Germany, October 04-06, 2018 (pp. 24:1-24:6). https://doi.org/10.1145/3265757.3265781
LibreCat
| DOI
2018 | Conference (Editor) | LibreCat-ID: 15588
Bednarik, R., & Schulte, C. (Eds.). (2018). Proceedings of the Workshop on Eye Movements in Programming, EMIP@ETRA 2018, Warsaw, Poland, June 15, 2018. (ACM).
LibreCat
2018 | Book | LibreCat-ID: 15595
Sentance, S., Barendsen, E., & Schulte, C. (2018). Computer Science Education: Perspectives on Teaching and learning in school. Bloomsbury Publishing.
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2018 | Conference Paper | LibreCat-ID: 15646
Heinemann, B., Opel, S. A., Budde, L., Schulte, C., Frischemeier, D., Biehler, R., … Wassong, T. (2018). Drafting a Data Science Curriculum for Secondary Schools. In Koli Calling (pp. 17:1-17:5). ACM.
LibreCat
2018 | Conference Paper | LibreCat-ID: 15647
Schulte, C., & Budde, L. (2018). A Framework for Computing Education: Hybrid Interaction System: The need for a bigger picture in computing education. In Koli Calling (pp. 12:1-12:10). ACM.
LibreCat
2018 | Journal Article | LibreCat-ID: 14886
Chen, W.-F., & Ku, L.-W. (2018). We Like, We Post: A Joint User-Post Approach for Facebook Post Stance Labeling. IEEE Transactions on Knowledge and Data Engineering, 30(10), 2013–2023.
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2018 | Journal Article | LibreCat-ID: 14887
Chen, M.-H., Chen, W.-F., & Ku, L.-W. (2018). Application of Sentiment Analysis to Language Learning. IEEE Access, 6, 24433–24442.
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2018 | Journal Article | LibreCat-ID: 14888
Chen W.-F., & Ku L.-W. (2018). 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.
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2018 | Conference Paper | LibreCat-ID: 15081
Böttcher, S., & Hartel, R. (2018). RECUT: RE-Compressing partially Unordered Trees. In 2018 IEEE International Conference on Big Data (Big Data) (pp. 3996–4005). https://doi.org/10.1109/bigdata.2018.8622261
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| DOI
2018 | Conference Paper | LibreCat-ID: 15082
Dunst, A., & Hartel, R. (2018). Automated Genre and Author Distinction in Comics: Towards a Stylometry for Visual Narrative. In Digital Humanities 2018: Book of Abstracts/Libro de resúmenes (pp. 184–187). Red de Humanidades Digitales AC.
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2018 | Book Chapter | LibreCat-ID: 15160
Dunst, A., & Hartel, R. (2018). The quantitative analysis of comics: Towards a visual stylometry of graphic narrative. In A. Dunst, J. Laubrock, & J. Wildfeuer (Eds.), Empirical Comics Research: Digital, Multimodal, and Cognitive Methods (pp. 43–61). Routledge.
LibreCat
2018 | Conference Abstract | LibreCat-ID: 15183
Dunst, A., & Hartel, R. (2018). Auf dem Weg zur Visuellen Stilometrie:Automatische Genre- und Autorunterscheidung in graphischen Narrativen. In DHd Konferenz 2018, Kritik der digitalen Vernunft, DHd 2018.
LibreCat
2018 | Journal Article | LibreCat-ID: 16038
Schäfer, D., & Hüllermeier, E. (2018). Dyad ranking using Plackett-Luce models based on joint feature representations. Machine Learning, 107(5), 903–941.
LibreCat
2018 | Book Chapter | LibreCat-ID: 16392
Feldkord, B., Malatyali, M., & Meyer auf der Heide, F. (2018). A Dynamic Distributed Data Structure for Top-k and k-Select Queries. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Cham. https://doi.org/10.1007/978-3-319-98355-4_18
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| DOI
2018 | Conference Paper | LibreCat-ID: 10145
Ahmadi Fahandar, M., & Hüllermeier, E. (2018). Learning to Rank Based on Analogical Reasoning. In Proc. 32 nd AAAI Conference on Artificial Intelligence (AAAI) (pp. 2951–2958).
LibreCat
2018 | Conference Paper | LibreCat-ID: 10148
El Mesaoudi-Paul, A., Hüllermeier, E., & Busa-Fekete, R. (2018). Ranking Distributions based on Noisy Sorting. Proc. 35th Int. Conference on Machine Learning (ICML), 3469–3477.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10149
Hesse, M., Timmermann, J., Hüllermeier, E., & Trächtler, A. (2018). A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart. Proc. 4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, Procedia Manufacturing 24, 15–20.
LibreCat
2018 | Book Chapter | LibreCat-ID: 10152
Mencia, E. L., Fürnkranz, J., Hüllermeier, E., & Rapp, M. (2018). Learning interpretable rules for multi-label classification. 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 (pp. 81–113). Springer.
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