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2182 Publications
2020 | Conference Paper | LibreCat-ID: 46325
Carnein, M., Trautmann, H., Bifet, A., & Pfahringer, B. (2020). Towards Automated Configuration of Stream Clustering Algorithms. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19), 137–143. https://doi.org/10.1007/978-3-030-43823-4_12
LibreCat
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2020 | Conference Paper | LibreCat-ID: 46326
Carnein, M., Trautmann, H., Bifet, A., & Pfahringer, B. (2020). confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020), 80–95. https://doi.org/10.1007/978-3-030-53552-0_10
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2020 | Conference Paper | LibreCat-ID: 46327
Lena, C., Frischlich, L., Trautmann, H., & Grimme, C. (2020). Automated detection of nostalgic text in the context of societal pessimism. In C. Grimme, M. Preuß, F. Takes, & A. Waldherr (Eds.), Disinformation in open online media (pp. 48–58).
LibreCat
2020 | Conference Paper | LibreCat-ID: 46329
Riehle, D. M., Niemann, M., Brunk, J., Assenmacher, D., Trautmann, H., & Becker, J. (2020). Building an Integrated Comment Moderation System – Towards a Semi-automatic Moderation Tool. In G. Meiselwitz (Ed.), Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing (pp. 71–86). Springer International Publishing.
LibreCat
2020 | Journal Article | LibreCat-ID: 48366
Mordhorst, L., & Gössling, B. (2020). Dual Study Programmes as a Design Challenge: Identifying Areas for Improvement as a Starting Point for Interventions. EDeR. Educational Design Research, 4(1), Article 24. https://doi.org/10.15460/eder.4.1.1482
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2020 | Conference Paper | LibreCat-ID: 23518
Gräßler, I., Roesmann, D., & Pottebaum, J. (2020). Traceable learning effects by use of digital adaptive assistance in production. Procedia Manufacturing - Proceedings of the 10th Conference on Learning Factories, CLF2020, Band 45; 16. - 17. Apr. 2020, 45, 479–484. https://doi.org/doi: 10.1016/j.promfg.2020.04.058
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2020 | Conference Paper | LibreCat-ID: 48897
Seiler, M., Pohl, J., Bossek, J., Kerschke, P., & Trautmann, H. (2020). Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. Parallel Problem Solving from {Nature} (PPSN XVI), 48–64. https://doi.org/10.1007/978-3-030-58112-1_4
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2020 | Journal Article | LibreCat-ID: 50280
Gössling, B., & Daniel, D. (2020). Video analysis in Design-Based Research – Findings of a project on self-organised learning at a vocational school. EDeR. Educational Design Research, 2(2). https://doi.org/10.15460/eder.2.2.1270
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2020 | Conference Paper | LibreCat-ID: 45049
Knickenberg, M., Zurbriggen, C., & Venetz, M. (2020). Adolescents’ engagement at school vs. leisure time and their emotional involvement. EARLI (European Association for Research on Learning and Instruction) SIG 08 (Special Interest Group “Motivation and Emotion”), Dresden.
LibreCat
2020 | Conference Paper | LibreCat-ID: 45051
Knickenberg, M. (2020). Social relationships in students with special educational needs. EARLI (European Association for Research on Learning and Instruction) SIG 15 (Special Interest Group “Special Educational Needs”), London.
LibreCat
2020 | Journal Article | LibreCat-ID: 47476 | 
Altenhöner, R., Blümel, I., Boehm, F., Bove, J., Bicher, K., Bracht, C., Brand, O., Dieckmann, L., Effinger, M., Hagener, M., Hammes, A., Heller, L., Kailus, A., Kohle, H., Ludwig, J., Münzmay, A., Pittroff, S., Razum, M., Röwenstrunk, D., … Wiermann, B. (2020). NFDI4Culture - Consortium for research data on material and immaterial cultural heritage. Research Ideas and Outcomes, 6. https://doi.org/10.3897/rio.6.e57036
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2020 | Conference Paper | LibreCat-ID: 53305
Mohammadi, H. G., Arshad, R., Rautmare, S., Manjunatha, S., Kuschel, M., Jentzsch, F. P., Platzner, M., Boschmann, A., & Schollbach, D. (2020). DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms. 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). https://doi.org/10.1109/etfa46521.2020.9211880
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2020 | Journal Article | LibreCat-ID: 35712
Schürmann, M., Gildehaus, L., Liebendörfer, M., Schaper, N., Biehler, R., Hochmuth, R., Kuklinski, C., & Lankeit, E. (2020). Mathematics learning support centres in Germany—an overview. Teaching Mathematics and Its Applications: An International Journal of the IMA, 40(2), 99–113. https://doi.org/10.1093/teamat/hraa007
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2020 | Book Chapter | LibreCat-ID: 35913
Liebendörfer, M., Göller, R., Gildehaus, L., Kortemeyer, J., Biehler, R., Hochmuth, R., Ostsieker, L., Rode, J., & Schaper, N. (2020). The role of learning strategies for performance in mathematics courses for engineers. In T. Hausberger, M. Bosch, & F. Chelloughi (Eds.), Proceedings of the Third Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2020, 12-19 September 2020). University of Carthage and INDRUM.
LibreCat
2020 | Conference Paper | LibreCat-ID: 35814
Biehler, R., Fleischer, Y., Budde, L., Frischemeier, D., Gerstenberger, D., Podworny, S., & Schulte, C. (2020). Data science education in secondary schools: Teaching and learning decision trees with CODAP and Jupyter Notebooks as an example of integrating machine learning into statistics education. In P. Arnold (Ed.), New Skills in the Changing World of Statistics Education Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE). ISI/IASE.
LibreCat
2020 | Conference Paper | LibreCat-ID: 46331
Seiler, M., Trautmann, H., & Kerschke, P. (2020). Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries. Proceedings of the International Joint Conference on Neural Networks (IJCNN), 1–8. https://doi.org/10.1109/IJCNN48605.2020.9207338
LibreCat
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2020 | Conference Paper | LibreCat-ID: 46330
Seiler, M., Pohl, J., Bossek, J., Kerschke, P., & Trautmann, H. (2020). Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. In T. Bäck, M. Preuss, A. Deutz, H. Wang, C. Doerr, M. Emmerich, & H. Trautmann (Eds.), Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI) (pp. 48–64). https://doi.org/10.1007/978-3-030-58112-1_4
LibreCat
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2019 | Conference Abstract | LibreCat-ID: 24920
Tolksdorf, N. F. (2019). Social robots–new opportunities for early language learning in the digital age? Ethical considerations and moving towards goal-oriented co-action. Workshop on the ethical impact of robot tutors in early education, Paderborn.
LibreCat
2019 | Conference Paper | LibreCat-ID: 25370
Obraczka, D., & Ngonga Ngomo, A.-C. (2019). Dragon: Decision Tree Learning for Link Discovery. In M. Bakaev, F. Frasincar, & I.-Y. Ko (Eds.), Web Engineering - 19th International Conference, {ICWE} 2019, Daejeon, South Korea, June 11-14, 2019, Proceedings (Vol. 11496, pp. 441–456). Springer. https://doi.org/10.1007/978-3-030-19274-7\_31
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2019 | Conference Paper | LibreCat-ID: 25375
M. Zahera, H., Ahmed Sherif, M., & Ngonga Ngomo, A.-C. (2019). Jointly Learning from Social Media and Environmental Data for Typhoon Intensity Prediction. In M. Kejriwal, P. A. Szekely, & R. Troncy (Eds.), Proceedings of the 10th International Conference on Knowledge Capture, {K-CAP} 2019, Marina Del Rey, CA, USA, November 19-21, 2019 (pp. 231–234). {ACM}. https://doi.org/10.1145/3360901.3364413
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