Improving anthropometric datasets: comparison of machine learning and statistical approaches to fill data gaps
The article "Improving anthropometric datasets: comparison of machine learning and statistical approaches to fill data gaps" is a chapter of the conference proceedings "Advances in Digital Human Modeling II. Proceedings of the 9th International Digital Human Modeling Symposium, DHM 2025" and can be downloaded on the publisher's website. (charges may apply)
Bibliographic information
Title: Improving anthropometric datasets: comparison of machine learning and statistical approaches to fill data gaps.
in: Advances in Digital Human Modeling II. Proceedings of the 9th International Digital Human Modeling Symposium, DHM 2025 / R. Marshall, S. Summerskill, G. Harih, S. Scataglini (Eds.) Cham: Springer, 2025. pages: 93-107, Project number: F 2446, DOI: 10.1007/978-3-032-00839-8_10
