Brune, M., Puiseau, C., Tercan, H., & Meisen, T. (2025). "Deep reinforcement learning for assembly robot end effector scheduling" , Procedia CIRP , 134 , 927—932.

Jansen, M., Blomqvist, E., Keskisärkkä, R., Li, H., Lindecrantz, M., Wannerberg, K., Pomp, A., Meisen, T., & Berg, H. (2025). "Designing an Ontology Network for Digital Product Passports" in The Semantic Web: ESWC 2024 Satellite Events , Meroño Peñuela, Albert and Corcho, Oscar and Groth, Paul and Simperl, Elena and Tamma, Valentina and Nuzzolese, Andrea Giovanni and Poveda-Villalón, Maria and Sabou, Marta and Presutti, Valentina and Celino, Irene and Revenko, Artem and Raad, Joe and Sartini, Bruno and Lisena, Pasquale, Eds. Cham : Springer Nature Switzerland , 220—237.

Hütten, N., Hölken, F., Tercan, H., & Meisen, T. (2025). Detection Transformers Under the Knife: A Neuroscience-Inspired Approach to Ablations.

Hütten, N., Hölken, F., Tercan, H., & Meisen, T. (2025). Detection Transformers Under the Knife: A Neuroscience-Inspired Approach to Ablations.

Hütten, N., Hölken, F., Tercan, H., & Meisen, T. (2025). "Detection Transformers Under the Knife: A Neuroscience-Inspired Approach to Ablations" in Proceedings of the British Machine Vision Conference .

Tousside, B., Frochte, J., & Meisen, T. (2025). "Dynamic Capacity Expansion in Continual Learning: The eSECL Approach" in Agents and Artificial Intelligence , Rocha, Ana Paula and Steels, Luc and van den Herik, Jaap, Eds. Cham : Springer Nature Switzerland , 272—291.

Bohn, C., Kurbiel, T., Friedrichs, K., Tercan, H., & Meisen, T. (2025). "Efficient Inter-Task Attention for Multitask Transformer Models" in Neural Information Processing , Taniguchi, Tadahiro and Leung, Chi Sing Andrew and Kozuno, Tadashi and Yoshimoto, Junichiro and Mahmud, Mufti and Doborjeh, Maryam and Doya, Kenji, Eds. Singapore : Springer and Springer Nature Singapore 336—350.

Bohn, C., Kurbiel, T., Friedrichs, K., Tercan, H., & Meisen, T. (2025). "Efficient Inter-Task Attention for Multitask Transformer Models" in Neural Information Processing , Taniguchi, Tadahiro and Leung, Andrew Chi Sing and Kozuno, Tadashi and Yoshimoto, Junichiro and Mahmud, Mufti and Doborjeh, Maryam and Doya, Kenji, Eds. Singapore : Springer and Springer Nature Singapore 336—350.

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.

Iravani, E., Hasecke, F., Hahn, L., & Meisen, T. (2025). "Enhancing 3D Human Pose Estimation: A Novel Post-Processing Method" in Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications , SciTePress - Science and and Technology Publications 209—220.

Saini, L., Tercan, H., & Meisen, T. (2025). Graph Query Networks for Object Detection with Automotive Radar.

Bolz, P., Fehling, D., & Zdrallek, M. (2025). Immersive Virtual Reality Training for Service Personnel in the Power Distribution Grid with Adaptable Training Environments.

Hubbertz, M., Colling, P., Han, Q., & Meisen, T. (2025). Inferring Driving Maps by Deep Learning-based Trail Map Extraction.

Hubbertz, M., Colling, P., Han, Q., & Meisen, T. (2025). "Inferring Driving Maps by Deep Learning-based Trail Map Extraction" in Proceedings of the Computer Vision and Pattern Recognition Conference , IEEE 2450—2459.