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.

Langer, T., Welbers, V., & Meisen, T. (2023). "Gideon-TS: Efficient Exploration and Labeling of Multivariate Industrial Sensor Data" in Proceedings of the 24th International Conference on Enterprise Information Systems , Filipe, Joaquim and Śmiałek, Michał and Brodsky, Alexander and Hammoudi, Slimane, Eds. Cham : SciTePress - Science and and Technology Publications 321—331.

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.

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.

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.

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.

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.

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.

Jansen, M., Meisen, T., Plociennik, C., Berg, H., Pomp, A., & Windholz, W. (2023). "Stop Guessing in the Dark: Identified Requirements for Digital Product Passport Systems" , Systems , 11 (3), 123.

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.

Alves Gomes, M., Wönkhaus, M., Meisen, P., & Meisen, T. (2023). "TEE: Real-Time Purchase Prediction Using Time Extended Embeddings for Representing Customer Behavior" , Journal of Theoretical and Applied Electronic Commerce Research , 18 (3), 1404—1418.

Paulus, A., Pomp, A., & Meisen, T. (2023). "The PLASMA Framework: Laying the Path to Domain-Specific Semantics in Dataspaces" 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 1474—1479.