Institute for Technologies and Management of Digital Transformation

Publikationen des TMDT



2025
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 .
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 Proceedings of The 3rd International Workshop on Knowledge Graphs for Sustainability (KG4S 2025): co-located with the 22nd Extended Semantic Web Conference (ESWC 2025) , https://2025.kg4s.org/content/files/2025/06/KG4S_2025_paper_3.pdf : CEUR 1—12.
Hahn, Y., Voets, J., Königsfeld, A., Tercan, H., & Meisen, T. (2025). "Out of Distribution Detection for Efficient Continual Learning in Quality Prediction for Arc Welding" in Proceedings of the 34th ACM International Conference on Information and Knowledge Management , Cha, Meeyoung and Park, Chanyoung and Park, Noseong and Yang, Carl and Basu Roy, Senjuti and Li, Jessie and Kamps, Jaap and Shin, Kijung and Hooi, Bryan and He, Lifang, Eds. New York, NY, USA : ACM 5699—5706.

ISBN: 9798400720406

Araujo, J. B., Nolte, A., Berg, H., Dittrich, M., Greiff, K., Plociennik, C., Pomp, A., & Viere, T. (2025). "A Typology for Circular Economy Data" , Journal of Circular Economy , 3 (1),
Hölken, F., Paulus, A., Meisen, T., & Pomp, A. (2025). "Smart City Urban Heat Monitoring using a Solid-based Dataspace" in The Third International Workshop on Semantics in Dataspaces, co-located with the Extended Semantic Web Conference .
Brune, M., Puiseau, C., Tercan, H., & Meisen, T. (2025). "Deep reinforcement learning for assembly robot end effector scheduling" , Procedia CIRP , 134 , 927—932.
Hütten, N., Hölken, F., Tercan, H., & Meisen, T. (2025). Detection Transformers Under the Knife: A Neuroscience-Inspired Approach to Ablations.
Hubbertz, M., Colling, P., Han, Q., & Meisen, T. (2025). Inferring Driving Maps by Deep Learning-based Trail Map Extraction.
Königsfeld, A., Bergmann, D., Wunn, A., Tybussek, K., Karbasi, M., Heim, M., Tercan, H., & Meisen, T. (2025). "AI-driven Configuration for Filling Systems using Generative Adversarial Networks" , Procedia CIRP , 134 , 921—926.
Peters, J., Waubert-de-Puiseau, C., Tercan, H., Gopikrishnan, A., Carvalho, G. A. L., Bitter, C., & Meisen, T. (2025). A Survey on Emergent Language.
Ma, Z., Bahja, A. R., Burgdorf, A., Pomp, A., Meisen, T., Jørgensen, B. N., & Ma, Z. G. (2025). "Multi-Agent Multimodal Large Language Model Framework for Automated Interpretation of Fuel Efficiency Analytics in Public Transportation" , Applied Sciences , 15 (21), 11619. arXiv .
Saini, L., Tercan, H., & Meisen, T. (2025). Graph Query Networks for Object Detection with Automotive Radar.
Dehghani, S., Knoth, C., Eskandari, S., Buchmüller, M., Meisen, T., & Görrn, P. (2025). "Data-Driven Inverse Design of Hybrid Waveguide Gratings Using Reflection Spectra via Tandem Networks and Conditional VAEs" , Optics , 6 (4), 61.
Hütten, N., Hölken, F., Tercan, H., & Meisen, T. (2025). Detection Transformers Under the Knife: A Neuroscience-Inspired Approach to Ablations.
Alves Gomes, M., Meisen, P., & Meisen, T. (2025). "Efficient Personalization in E-Commerce: Leveraging Universal Customer Representations with Embeddings" , Journal of Theoretical and Applied Electronic Commerce Research , 20 (1),