Puiseau, C., Wolz, F., Montag, M., Peters, J., Tercan, H., & Meisen, T. (2025). "Applying Decision Transformers to Enhance Neural Local Search on the Job Shop Scheduling Problem" , AI , 6 (3),

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),

Peters, J., Puiseau, C., Tercan, H., Gopikrishnan, A., Carvalho, G. A., Bitter, C., & Meisen, T. (2025). "Emergent language: a survey and taxonomy" , Autonomous Agents and Multi-Agent Systems , 39 (1), 18.

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.

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),

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.

Alves Gomes, M., Meyes, R., Meisen, P., & Meisen, T. (2024). "It's Not Always about Wide and Deep Models: Click-Through Rate Prediction with a Customer Behavior-Embedding Representation" , Journal of Theoretical and Applied Electronic Commerce Research , 19 (1), 135—151.