Self-supervised and few-shot learning for robust bioaerosol monitoring.
- DOI
- 10.1007/s10453-025-09850-4
- Published
- 2025
- Container
- Aerobiologia
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/s10453-025-09850-4,
title = {Self-supervised and few-shot learning for robust bioaerosol monitoring.},
author = {Willi A and Baumann P and Erb S and Gröger F and Zeder Y and Lionetti S},
year = {2025},
journal = {Aerobiologia},
doi = {10.1007/s10453-025-09850-4},
url = {https://doi.org/10.1007/s10453-025-09850-4}
}RIS
TY - JOUR TI - Self-supervised and few-shot learning for robust bioaerosol monitoring. AU - Willi A AU - Baumann P AU - Erb S AU - Gröger F AU - Zeder Y AU - Lionetti S PY - 2025 JO - Aerobiologia DO - 10.1007/s10453-025-09850-4 UR - https://doi.org/10.1007/s10453-025-09850-4 ER -
APA
A, W., P, B., S, E., F, G., Y, Z., & S, L. (2025). Self-supervised and few-shot learning for robust bioaerosol monitoring.. Aerobiologia. https://doi.org/10.1007/s10453-025-09850-4
Source records
- pubmed · retrieved 2026-09-26T14:57:08.297Z