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5947 Publications
2018 | Conference Paper | LibreCat-ID: 15584
Magenheim, Johannes, Kathrin Müller, Carsten Schulte, Nadine Bergner, Kathrin Haselmeier, Ludger Humbert, Dorothee Müller, and Ulrik Schroeder. “Evaluation of Learning Informatics in Primary Education - Views of Teachers and Students.” In Informatics in Schools. Fundamentals of Computer Science and Software Engineering - 11th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, (ISSEP) 2018, St. Petersburg, Russia, October 10-12, 2018, Proceedings, 339–53, 2018. https://doi.org/10.1007/978-3-030-02750-6\_26.
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| DOI
2018 | Conference Paper | LibreCat-ID: 15585
Bednarik, Roman, Carsten Schulte, Lea Budde, Birte Heinemann, and Hana Vrzakova. “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, 2:1-2:8, 2018. https://doi.org/10.1145/3279720.3279722.
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| DOI
2018 | Conference Paper | LibreCat-ID: 15586
Müller, Kathrin, and Carsten Schulte. “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, 10:1-10:4, 2018. https://doi.org/10.1145/3265757.3265767.
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| DOI
2018 | Conference Paper | LibreCat-ID: 15587
Schulte, Carsten, Jessica Krüger, Andreas Gödecke, and Ann-Katrin Schmidt. “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, 24:1-24:6, 2018. https://doi.org/10.1145/3265757.3265781.
LibreCat
| DOI
2018 | Conference (Editor) | LibreCat-ID: 15588
Bednarik, Roman, and Carsten Schulte, eds. Proceedings of the Workshop on Eye Movements in Programming, EMIP@ETRA 2018, Warsaw, Poland, June 15, 2018. (ACM), 2018.
LibreCat
2018 | Book | LibreCat-ID: 15595
Sentance, Sue, Erik Barendsen, and Carsten Schulte. Computer Science Education: Perspectives on Teaching and Learning in School. Bloomsbury Publishing, 2018.
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2018 | Conference Paper | LibreCat-ID: 15647
Schulte, Carsten, and Lea Budde. “A Framework for Computing Education: Hybrid Interaction System: The Need for a Bigger Picture in Computing Education.” In Koli Calling, 12:1-12:10. ACM, 2018.
LibreCat
2018 | Journal Article | LibreCat-ID: 14886
Chen, Wei-Fan, and Lun-Wei Ku. “We Like, We Post: A Joint User-Post Approach for Facebook Post Stance Labeling.” IEEE Transactions on Knowledge and Data Engineering 30, no. 10 (2018): 2013–23.
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2018 | Journal Article | LibreCat-ID: 14887
Chen, Mei-Hua, Wei-Fan Chen, and Lun-Wei Ku. “Application of Sentiment Analysis to Language Learning.” IEEE Access 6 (2018): 24433–42.
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2018 | Journal Article | LibreCat-ID: 14888
Chen Wei-Fan, and Ku Lun-Wei. “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, Stefan, and Rita Hartel. “RECUT: RE-Compressing Partially Unordered Trees.” In 2018 IEEE International Conference on Big Data (Big Data), 3996–4005, 2018. https://doi.org/10.1109/bigdata.2018.8622261.
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| DOI
2018 | Conference Paper | LibreCat-ID: 15082
Dunst, Alexander, and Rita Hartel. “Automated Genre and Author Distinction in Comics: Towards a Stylometry for Visual Narrative.” In Digital Humanities 2018: Book of Abstracts/Libro de Resúmenes, 184–87. Red de Humanidades Digitales AC, 2018.
LibreCat
2018 | Book Chapter | LibreCat-ID: 15160
Dunst, Alexander, and Rita Hartel. “The Quantitative Analysis of Comics: Towards a Visual Stylometry of Graphic Narrative.” In Empirical Comics Research: Digital, Multimodal, and Cognitive Methods, edited by Alexander Dunst, Jochen Laubrock, and Janina Wildfeuer, 43–61. Routledge, 2018.
LibreCat
2018 | Conference Abstract | LibreCat-ID: 15183
Dunst, Alexander, and Rita 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.
LibreCat
2018 | Journal Article | LibreCat-ID: 16038
Schäfer, D., and Eyke Hüllermeier. “Dyad Ranking Using Plackett-Luce Models Based on Joint Feature Representations.” Machine Learning 107, no. 5 (2018): 903–41.
LibreCat
2018 | Book Chapter | LibreCat-ID: 16392
Feldkord, Björn, Manuel Malatyali, and Friedhelm Meyer auf der Heide. “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. https://doi.org/10.1007/978-3-319-98355-4_18.
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| DOI
2018 | Conference Paper | LibreCat-ID: 10145
Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Learning to Rank Based on Analogical Reasoning.” In Proc. 32 Nd AAAI Conference on Artificial Intelligence (AAAI), 2951–58, 2018.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10148
El Mesaoudi-Paul, Adil, Eyke Hüllermeier, and Robert Busa-Fekete. “Ranking Distributions Based on Noisy Sorting.” In Proc. 35th Int. Conference on Machine Learning (ICML), 3469–77. Verlagsschriftenreihe Des Heinz Nixdorf Instituts, Paderborn. Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, 2018.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10149
Hesse, M., J. Timmermann, Eyke Hüllermeier, and Ansgar 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, 15–20, 2018.
LibreCat
2018 | Book Chapter | LibreCat-ID: 10152
Mencia, E.Loza, J. Fürnkranz, Eyke Hüllermeier, and M. Rapp. “Learning Interpretable Rules for Multi-Label Classification.” In Explainable and Interpretable Models in Computer Vision and Machine Learning, edited by H. Jair Escalante, S. Escalera, I. Guyon, X. Baro, Y. Güclüütürk, U. Güclü, and M.A.J. van Gerven, 81–113. The Springer Series on Challenges in Machine Learning. Springer, 2018.
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