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32 Publikationen
2026 | Konferenzbeitrag | FH-PUB-ID: 7173
Kirsch, A., & Rexilius, J. (n.d.). Reinforcement Learning-based MAV Navigation With Parameterized Waypoints: Incorporating Orientation, Speed Limits, and Corridor Constraints. Presented at the 9th Iberian Robotics Conference (ROBOT), Barcelona.
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2026 | Konferenzbeitrag | FH-PUB-ID: 7174
Mayer, P. T., & Rexilius, J. (n.d.). A Hybrid Control Framework Using Reinforcement Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer. Presented at the 26th International Conference on Control, Automation and Systems (ICCAS), Sapporo.
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2026 | Konferenzbeitrag | FH-PUB-ID: 7175
Mayer, P. T., & Rexilius, J. (n.d.). Adapting to Variable Kinematic Configurations: A Causal-Kinematic Attention Approach for Robotic Control. Presented at the 9th Iberian Robotics Conference (ROBOT) , Barcelona.
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2026 | Konferenzbeitrag | FH-PUB-ID: 7068
Döring, L., Trojahn, S., & Reusch, P. (2026). Smart data adapter: A hybrid pattern-LLM approach. In F. Behrendt, H. Zadek, J. Janmontree, S. Trojahn, & S. Lang (Eds.), 19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management. Magdeburg: Otto von Guericke University Library, Magdeburg, Germany. https://doi.org/10.25673/123544
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2025 | Konferenzbeitrag | FH-PUB-ID: 6235 | 
Sangel, M., Bensch, E., Brandt-Pook, H., Röllke, T., & Markworth, C. (2025). Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES. In Gesellschaft für Informatik e.V. (Ed.), INFORMATIK 2025 (pp. 1363–1371). Bonn. https://doi.org/10.18420/INF2025_121
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2025 | Konferenzbeitrag | FH-PUB-ID: 5905
Jaster, B., & Kohlhase, M. (2025). Trust Issues in Active Learning and Their Impact on Real-World Applications. In IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion) (pp. 1–5). Trondheim, Norway: IEEE. https://doi.org/10.1109/CITRExCompanion65208.2025.10981492
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2025 | Konferenzbeitrag | FH-PUB-ID: 6045 |
Jaster, B., & Kohlhase, M. (2025). Trust Issues in Active Learning and Their Impact on Real-World Applications. In IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion) (pp. 1–5). Trondheim, Norway: IEEE. https://doi.org/10.57720/6045
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2025 | Konferenzbeitrag | FH-PUB-ID: 6049 |
Schöne, M., Jaster, B., Bültemeier, J., Kösters, J., Holst, C.-A., & Kohlhase, M. (2025). Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit. In IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx) (pp. 1–9). Trondheim, Norway: IEEE. https://doi.org/10.57720/6049
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2025 | Konferenzbeitrag | FH-PUB-ID: 5904
Schöne, M., Jaster, B., Bültemeier, J., Kösters, J., Holst, C.-A., & Kohlhase, M. (2025). Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit. In IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx) (pp. 1–9). Trondheim, Norway: IEEE. https://doi.org/10.1109/CITREx64975.2025.10974940
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2024 | Dissertation | FH-PUB-ID: 4392 |
Grumbach, F. (2024). Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg: Universitäts- und Landesbibliothek Sachsen-Anhalt. https://doi.org/10.25673/115290
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2024 | Artikel | FH-PUB-ID: 4881
Wiegraebe, F., Schönbeck, M., Wunderlich, P., Nauerth, A., & Dörksen, H. (2024). KI-basiertes Unterstützungstool für pflegende Erwerbstätige. Pflege und Gesellschaft, 3, 271–285. https://doi.org/10.3262/P&G2403271
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2023 | Artikel | FH-PUB-ID: 2767 |
Richter, N., Tuvshinbayar, K., Ehrmann, G., & Ehrmann, A. (2023). Usability of Inexpensive Optical Pulse Sensors for Textile Integration and Heartbeat Detection Code Development. Electronics, 12(7). https://doi.org/10.3390/electronics12071521
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2023 | Diskussionspapier | FH-PUB-ID: 3729 |
Kösters, J., Schöne, M., & Kohlhase, M. (n.d.). Benchmarking of Machine Learning Models for Tabular Scarce Data.
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2023 | Artikel | FH-PUB-ID: 4073 |
Armutat, S., Mauritz, N., Wattenberg, M., & Bormann, F. (2023). Digitalisiertes Lernen in der betrieblichen Weiterbildung – zielgruppenorientierte Akzeptanz-Anforderungen an virtuelle Produktschulungen am Beispiel der Weidmüller Interface GmbH & Co. KG. bwp@ Berufs- und Wirtschaftspädagogik – online, (45), 1–22.
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2023 | Diskussionspapier | FH-PUB-ID: 2692 |
Strecker, M. J., Freese, C., Nagel, L., Stirner, A., Freese, I., Oldak, A., … Nauerth, A. (2023). Didaktisches Fachkonzept zur digitalen und virtuell unterstützten Fallarbeit in den Gesundheitsberufen. https://doi.org/10.57720/2692
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2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4206 |
Sanaullah, S., Amanullah, A., Roy, K., Lee, J.-A., Chul-Jun, S., & Jungeblut, T. (2023). A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting. Presented at the International Conference on Computer Vision (ICCV) 2023, Paris France. https://doi.org/10.5281/zenodo.10458019
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2023 | Diskussionspapier | FH-PUB-ID: 2763 |
Fries, S., Pfeifer, L. S., Schlautmann, K., Freese, C., Nauerth, A., & Raschper, P. (2023). Entwicklung und Erprobung digital gestützter Lernaufgaben mit VR-Szenarien. Das Fortbildungskonzept des Projekts ViRDiPA. Universität Bielefeld. https://doi.org/10.4119/UNIBI/2978152
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2023 | Konferenzbeitrag | FH-PUB-ID: 4394
Müller, A., & Grumbach, F. (2023). Predicting processing times in high mix low volume job shops. In E. Glistau & S. Trojahn (Eds.), 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management. Magdeburg: Otto von Guericke University Library, Magdeburg, Germany. https://doi.org/10.25673/103491
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2023 | Konferenzbeitrag | FH-PUB-ID: 4207 |
Sanaullah, S., & Jungeblut, T. (2023). Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis. Presented at the 19th International Conference on Machine Learning and Data Mining MLDM, New York USA. https://doi.org/10.5281/zenodo.10457930
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2023 | Diskussionspapier | FH-PUB-ID: 3731 |
Kösters, J., & Schöne, M. (n.d.). Active Learning mit dem GUIDE-Entscheidungsbaum.
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