Publikationen des TMDT
- 2024
- Hoseini, S., Burgdorf, A., Paulus, A., Meisen, T., Quix, C., & Pomp, A. (2024). "Towards LLM-augmented Creation of Semantic Models for Dataspaces" in The Second International Workshop on Semantics in Dataspaces, co-located with the Extended Semantic Web Conference .
- Hadwiger, S., Kube, D., Lavrik, V., & Meisen, T. (2024). "Towards Precision in Motion: Investigating the Influences of Curriculum Learning based on a Multi-Purpose Performance Metric for Vision-Based Forklift Navigation" in 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE) , IEEE 796—803.
ISBN: 979-8-3503-5851-3
- 2023
- Alves Gomes, M., & Meisen, T. (2023). "A review on customer segmentation methods for personalized customer targeting in e-commerce use cases" , Information Systems and e-Business Management .
- Bulow, F., & Meisen, T. (2023). "A review on methods for state of health forecasting of lithium-ion batteries applicable in real-world operational conditions" , Journal of Energy Storage , 57 , 105978.
- Braken, R., Paulus, A., Pomp, A., & Meisen, T. (2023). "An Evaluation of Link Prediction Approaches in Few-Shot Scenarios" , Electronics , 12 (10), 2296.
- 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
- Waubert-de-Puiseau, C., Tercan, H., & Meisen, T. (2023). "Curriculum Learning in Job Shop Scheduling using Reinforcement Learning" .
- 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 .
- Maiero, J., Fehling, C. D., & Müser, S. (2023). "Does Higher Education Need Virtual Reality? A Survey" in 2023 11th International Conference on Information and Education Technology (ICIET) , IEEE 6—13.
ISBN: 978-1-6654-6548-9
- Müser, S., Maiero, J., Fehling, C. D., Gilbert, D., Eroglu, S., Bachmann, D., Wiederspohn, S., & Meyer, J. (2023). "Konzeption und Evaluation einer virtuellen Lernumgebung für die Hochschullehre" , MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung , 51 , 345—372.
- 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 .
- 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
- Waubert-de-Puiseau, C., Peters, J., Dörpelkus, C., Tercan, H., & Meisen, T. (2023). "schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments" , arXiv arXiv:2301.04182 .
- 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 , New York, NY, USA : Association for Computing Machinery 1504—1507.
ISBN: 9781450394192
- Hadwiger, S., Lavrik, V., Liao, L. X., & Meisen, T. (2023). "Simulation-to-Reality Transfer of a Two-Stage Deep Reinforcement Learning Controller for Autonomous Load Carrier Approaching" in 2023 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) , IEEE 232—238.
ISBN: 979-8-3503-0121-2