Publikationen des TMDT
- 2023
- 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
- Waubert-de-Puiseau, C., Tercan, H., & Meisen, T. (2023). "Curriculum Learning in Job Shop Scheduling using Reinforcement Learning" .
- 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 .
- 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
- Braken, R., Paulus, A., Pomp, A., & Meisen, T. (2023). "An Evaluation of Link Prediction Approaches in Few-Shot Scenarios" , Electronics , 12 (10), 2296.
- Müser, S., Maiero, J., Meyer, J., & Hinkenjann, A. (2023). "Authoring Tools for Teaching in VR --- an Evaluation Study" in 2023 IEEE International Conference on Advanced Learning Technologies (ICALT) , IEEE 258--260.
ISBN: 979-8-3503-0054-3
- Benkert, J., Maack, R., & Meisen, T. (2023). "Chances and Challenges: Transformation from a Laser-Based to a Camera-Based Container Crane Automation System" , Journal of Marine Science and Engineering , 11 (9), 1718.
- 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
- 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.
- 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 .
- Müser, S., Fleischer, J., & Leutner, D. (2023). "Entwicklung und Validierung des Essener Tests zur Erfassung des standardorientierten bildungswissenschaftlichen Wissens (ESBW)" , Diagnostica , 69 (2), 62--73.
- 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.
- Tercan, H. (2023). Machine Learning-based Predictive Quality in Manufacturing Processes (1. Auflage). Düren : Shaker.
ISBN: 978-3-8440-9200-4
- 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 : ACM 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 .