Publikationen des TMDT
- 2023
- Paulus, A., Burgdorf, A., Pomp, A., & Meisen, T. (2023). "Collaborative Filtering Recommender System for Semantic Model Refinement" in 2023 IEEE 17th International Conference on Semantic Computing (ICSC) , IEEE 183—190.
ISBN: 978-1-6654-8263-9
- Gehrt, S., Kohl, P., & Krause, M. (2023). "Strategische Ausrichtung und Nutzerakzeptanz als Schlüsselfaktoren bei der Einführung automatisierter und vernetzter Mobilitätslösungen" in Towards the New Normal in Mobility , Proff, Heike, Eds. Wiesbaden : Springer Fachmedien Wiesbaden , 1029—1045.
ISBN: 978-3-658-39437-0
- Kohl, P., Michalik, D., Krause, M., & Kummert, A. (2023). "Untersuchung immersiver VR-Inhalte zur Steigerung der Nutzerakzeptanz für automatisierte Mobilität" in Towards the New Normal in Mobility , Proff, Heike, Eds. Wiesbaden : Springer Fachmedien Wiesbaden , 615—634.
ISBN: 978-3-658-39437-0
- Mack, N. A., Heun, M., & Rose, M. (2023). "Head-anchored text placements and cognitive load in information-rich virtual environments" in Mensch und Computer 2023 , Stolze, Markus and Loch, Frieder and Baldauf, Matthias and Alt, Florian and Schneegass, Christina and Kosch, Thomas and Hirzle, Teresa and Sadeghian, Shadan and Draxler, Fiona and Bektas, Kenan and Lohan, Katrin and Knierim, Pascal, Eds. New York, NY, USA : ACM 27—36.
ISBN: 9798400707711
- Pomp, A., Jansen, M., Berg, H., & Meisen, T. (2023). "SPACE_DS: Towards a Circular Economy Data Space" in Companion Proceedings of the ACM Web Conference 2023 , Ding, Ying and Tang, Jie and Sequeda, Juan and Aroyo, Lora and Castillo, Carlos and Houben, Geert-Jan, Eds. New York, NY, USA : ACM 1500—1501.
ISBN: 9781450394192
- Waubert-de-Puiseau, C., Tercan, H., & Meisen, T. (2023). "Curriculum Learning in Job Shop Scheduling using Reinforcement Learning" . Hannover : publish-Ing .
- Samsonov, V., Chrismarie, E., Köpken, H., Bär, S., Lütticke, D., & Meisen, T. (2023). "Deep representation learning and reinforcement learning for workpiece setup optimization in CNC milling" , Production Engineering .
- Tercan, H., & Meisen, T. (2023). "Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning" in Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , New York, NY, USA : Association for Computing Machinery 4914—4923.
ISBN: 9798400701030
- Theissen-Lipp, J., Kocher, M., Lange, C., Decker, S., Paulus, A., Pomp, A., & Curry, E. (2023). "Semantics in Dataspaces: Origin and Future Directions" in Companion Proceedings of the ACM Web Conference 2023 , Ding, Ying and Tang, Jie and Sequeda, Juan and Aroyo, Lora and Castillo, Carlos and Houben, Geert-Jan, Eds. New York, NY, USA : ACM 1504—1507.
ISBN: 9781450394192
- Puiseau, C., Peters, J., Dörpelkus, C., Tercan, H., & Meisen, T. (2023). "schlably: A Python framework for deep reinforcement learning based scheduling experiments" , SoftwareX , 22 , 101383.
- Puiseau, C., Zey, L., Demir, M., Tercan, H., & Meisen, T. (2023). "On The Effectiveness Of Bottleneck Information For Solving Job Shop Scheduling Problems Using Deep Reinforcement Learning" , Proceedings of the Conference on Production Systems and Logistics: CPSL 2023-2 .
- 2022
- Alves Gomes, M., Meyes, R., Meisen, P., & Meisen, T. (2022). "Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings" in Proceedings of the 31st ACM International Conference on Information & Knowledge Management , New York, NY, USA : Association for Computing Machinery 2873—2882.
ISBN: 9781450392365
- Bär, S., Bär, F., Pol, S., & Meisen, T. (2022). "Skalierung der Online-Job-Shop-Planung durch Reinforcement Learning" , Atp Edition , 63 (5), 52—59.
- Maschler, B., Vietz, H., Tercan, H., Bitter, C., Meisen, T., & Weyrich, M. (2022). "Insights and Example Use Cases on Industrial Transfer Learning" , Procedia CIRP , 107 , 511—516.
- Bitter, C., Thun, T., & Meisen, T. (2022). "Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments" , arXiv arXiv:2212.00906 .