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51 Publikationen
2022 | Konferenzband - Beitrag | ELSA-ID: 9161
Grimm, V., Geiger, L., Rubart, J., & Faller, G. (2022). Requirements and Design of a Training System for Domestic Workers. In P. A. Henning, M. Striewe, M. Wölfel, & Gesellschaft für Informatik (Eds.), DELFI 2022 : die 20. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V., 12.-14. September 2022, Karlsruhe: Vol. P-322 (pp. 213–214). Gesellschaft für Informatik e.V. https://doi.org/10.18420/delfi2022-037
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2021 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12800
Strohschein, J., Fischbach, A., Bunte, A., Faeskorn-Woyke, H., Moriz, N., & Bartz-Beielstein, T. (2021). Cognitive capabilities for the CAAI in cyber-physical production systems. The International Journal of Advanced Manufacturing Technology, 115(11–12), 3513–3532. https://doi.org/10.1007/s00170-021-07248-3
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2021 | Zeitschriftenaufsatz | ELSA-ID: 6689 | 
Wefing, P., Conradi, F., Rämisch, J., Neubauer, P., & Schneider, J. (2021). Determination of free amino nitrogen in beer mash with an inline NIR transflectance probe and data evaluation by machine learning algorithms. Brewing Science , 74(9/10), 107–121. https://doi.org/10.23763/BrSc21-10wefing
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2021 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 7519
Schäfers, T., Falk, T., Kumar, A., & Schamari, J. (2021). More of the same? Effects of volume and variety of social media brand engagement behavior. Journal of Business Research, 135, 282–294. https://doi.org/10.1016/j.jbusres.2021.06.033
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2021 | Konferenzband - Beitrag | ELSA-ID: 11803
Müller, A., Rangras, V., Schnittker, G., Waldmann, M., Friesen, M., Ferfers, T., Schreckenberg, L., Hufen, F., Jasperneite, J., & Wiering, M. (2021). Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control. In M. A. Wani, IEEE ICMLA, & Institute of Electrical and Electronics Engineers (Eds.), 20th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE. https://doi.org/10.1109/ICMLA52953.2021.00085
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2020 | Konferenzband - Beitrag | ELSA-ID: 12807
Leemhuis, A., Waloschek, S., & Hadjakos, A. (2020). Bacher than Bach? On Musicologically Informed AI-Based Bach Chorale Harmonization. In P. Cellier & K. Driessens (Eds.), Machine Learning and Knowledge Discovery in Databases : International Workshops of ECML PKDD 2019 (Vol. 1168, pp. 462–469). Springer International Publishing. https://doi.org/10.1007/978-3-030-43887-6_39
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2020 | Konferenzband - Beitrag | ELSA-ID: 12812
Berns, F., Lange-Hegermann, M., & Beecks, C. (2020). Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0. In H. Panetto, K. Madani, & A. Smirnov (Eds.), Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics IN4PL - Volume 1 (pp. 87–92). SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0010130300870092
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2020 | Sammelwerk - Beitrag | ELSA-ID: 11883
Claes, S., Fischer, Y., & Mertens, C. (2020). Das eCoFolio - ein reflexives E-Portfolio in der Lehramtsausbildung für Berufsschulen. In S. Heuchemer, B. Szczyrba, & T. van Treeck (Eds.), Hochschuldidaktik als Akteurin der Hochschulentwicklung (1st ed., Vol. 136, pp. 207–213). wbv .
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2020 | Konferenz - Beitrag | ELSA-ID: 4097 |
Besginow, A., Büttner, S., & Röcker, C. (2020). Making Object Detection Available to Everyone - A Hardware Prototype for Semi-automatic Synthetic Data Generation. 22nd International Conference on Human-Computer Interaction, 12203, 178–192. https://doi.org/10.1007/978-3-030-50344-4_14
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2020 | Konferenzband - Beitrag | ELSA-ID: 4100 |
Schmohl, T., Schwickert, S., & Glahn, O. (2020). Conceptual Design of an AI-Based Learning Assistant . The Future of Education (pp. 309–313). Bologna: Libreriauniversitaria.it. https://doi.org/10.26352/E618_2384-9509
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2019 | Sammelwerk - Beitrag | ELSA-ID: 6850
von Blanckenburg, K., & Knost, E. (2019). Einsatz von eTutorien als komplementäre Lehr- und Lernform. In T. Schmohl & D. Schäffer (Eds.), Lehrexperimente der Hochschulbildung- Didaktische Innovationen aus den Fachdisziplinen (2. Auflage, Vol. 2, pp. 41–46). Bielefeld: wbv . https://doi.org/ 10.25656/01:18561
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2019 | Konferenz - Beitrag | ELSA-ID: 4102 |
Dhiman, H., Büttner, S., Röcker, C., & Reisch, R. (2019). Handling Work Complexity with AR/Deep Learning. In Proceedings of the 31st Australian Conference on Human-Computer-Interaction (OzCHI’19) : 2nd Dec.-5th Dec. 2019, Perth/Fremantle, WA, Australia (pp. 518–522). Perth/Fremantle, WA, Australia: ACM. https://doi.org/10.1145/3369457.3370919
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2019 | Sammelwerk - Beitrag | ELSA-ID: 4312
Fullen, M., Maier, A., Nazarenko, A., Jenderny, S., & Röcker, C. (2019). Machine Learning for Assistance Systems: Pattern-Based Approach to Online Step Recognition. In IEEE (Ed.), 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) (pp. 296–302). Piscataway, NJ : IEEE. https://doi.org/10.1109/INDIN41052.2019.8972122
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2019 | Sammelwerk - Beitrag | ELSA-ID: 4313
Röcker, C. (2019). Exploring the Acceptance of Video-Based Medical Support. In W. Karwowski & T. Ahram (Eds.), Intelligent Human Systems Integration 2019 (Vol. 903, pp. 551–556). Cham: Springer. https://doi.org/10.1007/978-3-030-11051-2_83
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2018 | Konferenz - Beitrag | ELSA-ID: 4327 |
Lang, D., Wunderlich, P., Heinz, M., Wisniewski, L., Jasperneite, J., Niggemann, O., & Röcker, C. (2018). Assistance System to Support Troubleshooting of Complex Industrial Systems. In 14th IEEE International Workshop on Factory Communication Systems (WFCS). Piscataway, NJ: IEEE. https://doi.org/10.1109/WFCS.2018.8402380
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2018 | Konferenzband - Beitrag | ELSA-ID: 9650 |
Schmohl, T. (2018). Towards a New Scholarship of German Science Education. In PIXEL (Ed.), International Conference New Perspectives in Science Education (7th ed.). libreriauniversitaria.it edizioni.
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2017 | Konferenzband - Beitrag | ELSA-ID: 7592 |
Schmohl, T. (2017). The research—education nexus: Basic premises and practical application of the “Scholarship” movement. The Future of Education (Vol. 7, pp. 317–321). Bologna: Libreriauniversitaria.it.
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2017 | Bachelorarbeit | ELSA-ID: 811
Böhl, F. (2017). eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion. Lemgo: Hochschule Ostwestfalen-Lippe.
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2017 | Konferenz - Beitrag | ELSA-ID: 4254 |
Büttner, S., Wunderlich, P., Heinz, M., Niggemann, O., & Röcker, C. (2017). Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction. In A. Holzinger (Ed.), Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings (Vol. 10410, pp. 69–82). Cham: Springer.
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2016 | Sammelwerk - Beitrag | ELSA-ID: 4298
Robert, S., Büttner, S., Röcker, C., & Holzinger, A. (2016). Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning. In A. Holzinger (Ed.), Machine Learning for Health Informatics : State-of-the-Art and Future Challenges (Vol. 9605, pp. 357–376). Cham, CH: Springer. https://doi.org/10.1007/978-3-319-50478-0_18
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