Hahn, Y., Voets, J., Koenigsfeld, A., Tercan, H., & Meisen, T. (2025). Out of Distribution Detection for Efficient Continual Learning in Quality Prediction for Arc Welding.

Maack, R., Thun, L., Liang, T., Tercan, H., & Meisen, T. (2025). "PCAD: A Real-World Dataset for 6D Pose Industrial Anomaly Detection" in Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Workshops . 1132—1141.

Chandorkar, A., Tercan, H., & Meisen, T. (2025). Rethinking Backbone Design for Lightweight 3D Object Detection in LiDAR.

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 .

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-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.

Jäkel, J., Zoghian, P. M., & Klemt-Albert, K. (2024). "Anwendungsfelder und Implementierungsmodelle von Robotik im Bauwesen" in Künstliche Intelligenz im Bauwesen , 395—412.

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.

Yadav, H., Schaefer, M., Zhao, K., & Meisen, T. (2024). CASPFormer: Trajectory Prediction from BEV Images with Deformable Attention.

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.

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),