Benjamin Meyer
Benjamin Meyer
ZHAW
School of Engineering
Machine Perception & Cognition Group
Technikumstrasse 71
8400 Winterthur
Projects
- Evidence-Based Diagnostic Assistance for Echocardiography / Team member / ongoing
- Machine Learning for Body Composition Analysis / Team member / completed
- 3D-Master for a Digitized Manufacturing Platform / Team member / completed
Publications
Articles in scientific journal, peer-reviewed
- Meyer, B. et al. (2026) 'A document is worth a structured record : principled inductive bias design for document recognition', International Journal on Document Analysis and Recognition. doi: 10.1007/s10032-026-00602-9.
- Sager, P. J. et al. (2026) 'A comprehensive survey of agents for computer use : foundations, challenges, and future directions', Journal of Artificial Intelligence Research, 85(34). doi: 10.1613/jair.1.19490.
Written conference contributions, peer-reviewed
- Ali, W. et al. (2026) 'Automated component testing for agentic AI in medical decision support systems', in 12th IAPR TC3 Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR), Milan, Italy, 7-9 October 2026. ZHAW Zurich University of Applied Sciences. doi: 10.21256/zhaw-37093.
- Lack, S. et al. (2026) 'A unified cost estimation framework combining milling, turning, AM, and sheet metal processing', in IFIP 23rd International Conference on Product Lifecycle Management, Lecce, Italy, 6-8 July 2026. ZHAW Zurich University of Applied Sciences.
- Meyer, B. et al. (2025) 'Hounsfield unit ranges as inductive bias for intra-clinical learning of data-efficient CT segmentation models', in 2025 IEEE Swiss Conference on Data Science (SDS). IEEE, pp. 1–7. doi: 10.1109/SDS66131.2025.00008.
- Lanfant, B. et al. (2025) '3D-master-based method for optimizing the cost calculation of PBF-LB/M manufactured parts', in BHM Berg- und Hüttenmännische Monatshefte. Springer, pp. 158–171. doi: 10.1007/s00501-025-01563-y.
- Meyer, B., Stadelmann, T. and Lüthi, M. (2024) 'ScalaGrad : a statically typed automatic differentiation library for safer data science', in 2024 11th IEEE Swiss Conference on Data Science (SDS). IEEE, pp. 229–232. doi: 10.1109/SDS60720.2024.00040.
Oral conference contributions and abstracts
Lanfant, B. et al. (2024) '3D-master-based method for optimizing the cost calculation of PBF-LB/M manufactured parts', in Metal Additive Manufacturing Conference (MAMC), Aachen, Germany, 17-19 September 2024.