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32 Publikationen
2026 | Konferenzbeitrag | FH-PUB-ID: 7173
Kirsch, André, and Jan Rexilius. “Reinforcement Learning-Based MAV Navigation With Parameterized Waypoints: Incorporating Orientation, Speed Limits, and Corridor Constraints,” n.d.
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2026 | Konferenzbeitrag | FH-PUB-ID: 7174
Mayer, Patrick Thomas, and Jan Rexilius. “A Hybrid Control Framework Using Reinforcement Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer,” n.d.
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2026 | Konferenzbeitrag | FH-PUB-ID: 7175
Mayer, Patrick Thomas, and Jan Rexilius. “Adapting to Variable Kinematic Configurations: A Causal-Kinematic Attention Approach for Robotic Control,” n.d.
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2026 | Konferenzbeitrag | FH-PUB-ID: 7068
Döring, Lina, Sebastian Trojahn, and Pascal Reusch. “Smart Data Adapter: A Hybrid Pattern-LLM Approach.” In 19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, edited by Fabian Behrendt, Hartmut Zadek, Jettarat Janmontree, Sebastian Trojahn, and Sebastian Lang. Otto von Guericke University Library, Magdeburg, Germany, 2026. https://doi.org/10.25673/123544.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6235 | 
Sangel, Marius, Emilia Bensch, Hans Brandt-Pook, Timo Röllke, and Cedric Markworth. “Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES.” In INFORMATIK 2025, edited by Gesellschaft für Informatik e.V., 1363–71. Bonn, 2025. https://doi.org/10.18420/INF2025_121.
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2025 | Konferenzbeitrag | FH-PUB-ID: 5905
Jaster, Bjarne, and Martin Kohlhase. “Trust Issues in Active Learning and Their Impact on Real-World Applications.” In 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), edited by IEEE, 1–5. IEEE, 2025. https://doi.org/10.1109/CITRExCompanion65208.2025.10981492.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6045 |
Jaster, Bjarne, and Martin Kohlhase. “Trust Issues in Active Learning and Their Impact on Real-World Applications.” In 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), edited by IEEE, 1–5. IEEE, 2025. https://doi.org/10.57720/6045.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6049 |
Schöne, Marvin, Bjarne Jaster, Julian Bültemeier, Justus Kösters, Christoph-Alexander Holst, and Martin Kohlhase. “Pool-Based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit.” In 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), edited by IEEE, 1–9. IEEE, 2025. https://doi.org/10.57720/6049.
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2025 | Konferenzbeitrag | FH-PUB-ID: 5904
Schöne, Marvin, Bjarne Jaster, Julian Bültemeier, Justus Kösters, Christoph-Alexander Holst, and Martin Kohlhase. “Pool-Based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit.” In 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), edited by IEEE, 1–9. IEEE, 2025. https://doi.org/10.1109/CITREx64975.2025.10974940.
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2024 | Dissertation | FH-PUB-ID: 4392 |
Grumbach, Felix. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg: Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024. https://doi.org/10.25673/115290.
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2024 | Artikel | FH-PUB-ID: 4881
Wiegraebe, Frauke, Marleen Schönbeck, Paul Wunderlich, Annette Nauerth, and Helene Dörksen. “KI-basiertes Unterstützungstool für pflegende Erwerbstätige.” Pflege und Gesellschaft 3 (2024): 271–85. https://doi.org/10.3262/P&G2403271.
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2023 | Artikel | FH-PUB-ID: 2767 |
Richter, Niclas, Khorolsuren Tuvshinbayar, Guido Ehrmann, and Andrea Ehrmann. “Usability of Inexpensive Optical Pulse Sensors for Textile Integration and Heartbeat Detection Code Development.” Electronics 12, no. 7 (2023). https://doi.org/10.3390/electronics12071521.
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2023 | Diskussionspapier | FH-PUB-ID: 3729 |
Kösters, Justus, Marvin Schöne, and Martin Kohlhase. Benchmarking of Machine Learning Models for Tabular Scarce Data, n.d.
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2023 | Artikel | FH-PUB-ID: 4073 |
Armutat, Sascha, Nina Mauritz, Malte Wattenberg, and Frank Bormann. “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, no. 45 (2023): 1–22.
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2023 | Diskussionspapier | FH-PUB-ID: 2692 |
Strecker, Mia Jasmin, Christiane Freese, Lisa Nagel, Alexander Stirner, Isa Freese, Anna Oldak, Urszula Hejna, et al. Didaktisches Fachkonzept zur digitalen und virtuell unterstützten Fallarbeit in den Gesundheitsberufen, 2023. https://doi.org/10.57720/2692.
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2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4206 |
Sanaullah, Sanaullah, Amanullah Amanullah, Kaushik Roy, Jeong-A Lee, Son Chul-Jun, and Thorsten Jungeblut. “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting,” 2023. https://doi.org/10.5281/zenodo.10458019.
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2023 | Diskussionspapier | FH-PUB-ID: 2763 |
Fries, Sophia, Lydia Sophie Pfeifer, Katharina Schlautmann, Christiane Freese, Annette Nauerth, and Patrizia Raschper. Entwicklung Und Erprobung Digital Gestützter Lernaufgaben Mit VR-Szenarien. Das Fortbildungskonzept Des Projekts ViRDiPA. Universität Bielefeld, 2023. https://doi.org/10.4119/UNIBI/2978152.
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2023 | Konferenzbeitrag | FH-PUB-ID: 4394
Müller, Anna, and Felix Grumbach. “Predicting Processing Times in High Mix Low Volume Job Shops.” In 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, edited by Elke Glistau and Sebastian Trojahn. Otto von Guericke University Library, Magdeburg, Germany, 2023. https://doi.org/10.25673/103491.
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2023 | Konferenzbeitrag | FH-PUB-ID: 4207 |
Sanaullah, Sanaullah, and Thorsten Jungeblut. “Analysis of MR Images for Early and Accurate Detection of Brain Tumor Using Resource Efficient Simulator Brain Analysis.” New York USA, 2023. https://doi.org/10.5281/zenodo.10457930.
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2023 | Diskussionspapier | FH-PUB-ID: 3731 |
Kösters, Justus, and Marvin Schöne. Active Learning mit dem GUIDE-Entscheidungsbaum, n.d.
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