Exploring Dataset Bias and Scaling Techniques in Multi-Source Gait Biomechanics: An Explainable Machine Learning Approach.
Sophie Fleischmann|Simon Dietz|Julian Shanbhag|Annika Wuensch|Marlies Nitschke|Jörg Miehling|Sandro Wartzack|Sigrid Leyendecker|Bjoern M. Eskofier|Anne D. Koelewijn
| Anthology ID: | DBLP:journals/tist/FleischmannDSWNMWLEK25 |
|---|---|
| Year: | 2025 |
| Venue: | ACM Transactions on Intelligent Systems and Technology (TIST) |
| Pages: | 20:1-20:19 |
| URL: | https://doi.org/10.1145/3702646 |
| DOI: | https://doi.org/10.1145/3702646 |
| DBLP: | journals/tist/FleischmannDSWNMWLEK25 |
| BibTeX: |
@article{fleischmann-2025-exploring,
author = {Sophie Fleischmann and
Simon Dietz and
Julian Shanbhag and
Annika Wuensch and
Marlies Nitschke and
J\"{o}rg Miehling and
Sandro Wartzack and
Sigrid Leyendecker and
Bjoern M. Eskofier and
Anne D. Koelewijn},
title = {{Exploring Dataset Bias and Scaling Techniques in Multi-Source Gait Biomechanics: An Explainable Machine Learning Approach}},
journal = {ACM Transactions on Intelligent Systems and Technology (TIST)},
volume = {16},
number = {1},
pages = {20:1--20:19},
year = {2025},
url = {https://doi.org/10.1145/3702646},
doi = {https://doi.org/10.1145/3702646}
}