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151 Publications
2020 | Conference Paper | LibreCat-ID: 15580
Kersting, J., & Geierhos, M. (2020). Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020) (pp. 391--400). Setúbal, Portugal: SCITEPRESS.
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2020 | Journal Article | LibreCat-ID: 20143 | 
Otroshi, M., Rossel, M., & Meschut, G. (2020). Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model. Journal of Advanced Joining Processes, 1. https://doi.org/10.1016/j.jajp.2020.100015
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2020 | Journal Article | LibreCat-ID: 35313
Harteis, C., Goller, M., & Caruso, C. (2020). Conceptual Change in the Face of Digitalization. Frontiers in Education, 5(1). https://doi.org/10.3389/feduc.2020.00001
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2020 | Journal Article | LibreCat-ID: 35298
Caruso, C., Adammek, C., Bonanati, S., & Wiescholek, S. (2020). Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen. Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion, 3(1), 18–33. https://doi.org/10.4119/hlz-2540
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2020 | Conference (Editor) | LibreCat-ID: 19974
Kuball, C.-M., Jung, R., Uhe, B., Meschut, G., & Merklein, M. (Eds.). (2020). Influence of the process temperature on the forming behaviour and the friction during bulk forming of high nitrogen steel (No. 100023; Vol. 1). https://doi.org/10.1016/j.jajp.2020.100023
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2020 | Journal Article | LibreCat-ID: 19973
Uhe, B., Kuball, C.-M., Merklein, M., & Meschut, G. (2020). Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints. Production Engineering, 14, 417–423. https://doi.org/10.1007/s11740-020-00973-w
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2020 | Journal Article | LibreCat-ID: 33299 |
Hahn, C. A. (2020). Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen. die hochschullehre, 6.
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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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2019 | Journal Article | LibreCat-ID: 9853
Szopinski, D. (2019). Squaring the circle: Business model teaching in large classroom settings. Journal of Business Models, 7(3), 90–100.
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2019 | Conference Paper | LibreCat-ID: 13107
Schumacher, J., & Rezat, S. (n.d.). A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers. In U. T. Jankvist, M. Van den Heuvel-Panhuizen, & M. Veldhuis (Eds.), Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019). Utrecht, the Netherlands: Freudenthal Group & Freudenthal Institute, Utrecht University and ERME.
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2019 | Conference Paper | LibreCat-ID: 13443 |
Redder, A., Ramaswamy, A., & Quevedo, D. (2019). Deep reinforcement learning for scheduling in large-scale networked control systems. In Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems. Chicago, USA.
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2019 | Conference Paper | LibreCat-ID: 15332
Schlichtig, M., Opel, S. A., Budde, L., & Schulte, C. (2019). Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In E. Jasutė & S. Pozdniakov (Eds.), ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings (Vol. 12, pp. 65–73).
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2019 | Dissertation | LibreCat-ID: 10000
Bornmann, P. (2019). Modellierung und experimentelle Charakterisierung der Wechselwirkung zwischen Ultraschallwandler und Flüssigkeit in kavitationsbasierten Prozessen. Shaker.
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2019 | Journal Article | LibreCat-ID: 48877
Casalicchio, G., Bossek, J., Lang, M., Kirchhoff, D., Kerschke, P., Hofner, B., Seibold, H., Vanschoren, J., & Bischl, B. (2019). OpenML: An R Package to Connect to the Machine Learning Platform OpenML. Computational Statistics, 34(3), 977–991. https://doi.org/10.1007/s00180-017-0742-2
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2018 | Book Chapter | LibreCat-ID: 3593
Harteis, C., & Fischer, C. (2018). Wissensmanagement unter Bedingungen von Arbeit 4.0. In G. W. Maier, G. Engels, & E. Steffen (Eds.), Handbuch Gestaltung digitaler und vernetzter Arbeitswelten (pp. 1--18). Berlin, Heidelberg: Springer.
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2018 | Book Chapter | LibreCat-ID: 3594
Fischer, C., Goller, M., Brinkmann, L., & Harteis, C. (2018). Digitalisation of Work: Between Affordances and Constraints for Learning at Work. In D. Ifenthaler (Ed.), Digital Workplace Learning (pp. 227--249). Cham: Springer.
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2018 | Conference Paper | LibreCat-ID: 3852 |
Wever, M. D., Mohr, F., & Hüllermeier, E. (2018). ML-Plan for Unlimited-Length Machine Learning Pipelines. In ICML 2018 AutoML Workshop. Stockholm, Sweden.
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2018 | Conference Paper | LibreCat-ID: 1163
Feldmann, M., Kolb, C., Scheideler, C., & Strothmann, T. F. (2018). Self-Stabilizing Supervised Publish-Subscribe Systems. In Proceedings of the 32nd IEEE International Parallel & Distributed Processing Symposium (IPDPS). Vancouver: IEEE. https://doi.org/10.1109/IPDPS.2018.00114
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| arXiv
2018 | Journal Article | LibreCat-ID: 2331
Kim, Y., Lee, S., Dollmann, M., & Geierhos, M. (2018). Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure. International Journal of Advanced Science and Technology, 112, 123–136. https://doi.org/10.14257/ijast.2018.112.12
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2018 | Conference Paper | LibreCat-ID: 4411
Knollmann, T., & Scheideler, C. (2018). A Self-Stabilizing Hashed Patricia Trie. In T. Izumi & P. Kuznetsov (Eds.), Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS) (Vol. 11201). Tokyo: Springer, Cham. https://doi.org/10.1007/978-3-030-03232-6_1
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