Institute for Technologies and Management of Digital Transformation

Publikationen des TMDT



2025
Bohn, C., Freeman, I., Tercan, H., & Meisen, T. (2025). "Task Weighting through Gradient Projection for Multitask Learning" in Neural Information Processing , Mahmud, Mufti and Doborjeh, Maryam and Wong, Kevin and Leung, Andrew Chi Sing and Doborjeh, Zohreh and Tanveer, M. and Leung, Chi Sing, Eds. Singapore : Springer and Springer Nature Singapore 317—331.

ISBN: 978-981-96-6953-0

Chmielewski, S., Meisen, T., & Pomp, A. (2025). "The Synergy of Large Language Models and Dataspaces: A Functional Exploration" in The Third International Workshop on Semantics in Dataspaces, co-located with the Extended Semantic Web Conference .
Müller, N., Reermann, J., & Meisen, T. (2025). "Timbre Transfer for Ship Radiated Noise" in 2025 33rd European Signal Processing Conference (EUSIPCO) , IEEE 326—330.
Deich, J., Loeb, L., Meins-Becker, A., Meisen, T., & Pomp, A. (2025). "Towards Connecting General DPP Ontology Frameworks with Domain-specific Information Sources" in Knowledge Graphs for Sustainability (KG4S), Workshop Proceedings, CEUR\hbox-WS, Vol. 4002 , https://2025.kg4s.org/content/files/2025/06/KG4S_2025_paper_3.pdf 1—12.
Deich, J., Loeb, L., Meins\hbox-Becker, A., Meisen, T., & Pomp, A. (2025). "Towards Connecting General DPP Ontology Frameworks with Domain\hbox-specific Information Sources" in Knowledge Graphs for Sustainability (KG4S), Workshop Proceedings, CEUR\hbox-WS, Vol. 4002 , https://2025.kg4s.org/content/files/2025/06/KG4S_2025_paper_3.pdf 1—12.
2024
Jäkel, J., Zoghian, P. M., & Klemt-Albert, K. (2024). "Anwendungsfelder und Implementierungsmodelle von Robotik im Bauwesen" in Künstliche Intelligenz im Bauwesen , 395—412.

ISBN: 978-3-658-42795-5

Waubert-de-Puiseau, C., Dörpelkus, C., Peters, J., Tercan, H., & Meisen, T. (2024). Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling.
Saini, L., Su, Y., Tercan, H., & Meisen, T. (2024). "CenterPoint Transformer for BEV Object Detection with Automotive Radar" in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops . 4451—4460.
Tousside, B., Frochte, J., & Meisen, T. (2024). "CNNs Sparsification and Expansion for Continual Learning" in Proceedings of the 16th International Conference on Agents and Artificial Intelligence , SCITEPRESS - Science and Technology Publications 110—120.

ISBN: 978-989-758-680-4

Puiseau, C. W. d., Wolz, F., Montag, M., Peters, J., Tercan, H., & Meisen, T. (2024). Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem.
Hütten, N., Alves Gomes, M., Hölken, F., Andricevic, K., Meyes, R., & Meisen, T. (2024). "Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers" , Applied System Innovation , 7 (1),
Weiss, M., Brierley, N., Schmid, M., & Meisen, T. (2024). "End-To-End Deep Learning Material Discrimination Using Dual-Energy LINAC-CT" , e-Journal of Nondestructive Testing , 29 (3),
Langer, T., Meyes, R., & Meisen, T. (2024). "Guided Exploration of Industrial Sensor Data" , Computer Graphics Forum , 43 (1),
Busch, D., Freeman, I., Meyes, R., & Meisen, T. (2024). Improved Single Camera BEV Perception Using Multi-Camera Training.
Paulus, A., Hölken, F., Chmielewski, S., & Pomp, A. (2024). "IoT4H: Datengewinnung und -nutzung für innovative Geschäftsmodelle im Handwerk" , HMD Praxis der Wirtschaftsinformatik , 61 (6), 1540—1550.