Interpretable near-infrared spectroscopic classification of Baijiu grades using XGBoost and multi-level XAI.
- DOI
- 10.1039/d6ay01392a
- Published
- 2026 Sep 23
- Container
- Analytical methods : advancing methods and applications
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1039/d6ay01392a,
title = {Interpretable near-infrared spectroscopic classification of Baijiu grades using XGBoost and multi-level XAI.},
author = {Zhang G and Qin M and Chen K and Deng S and Zeng X and Li L},
year = {2026},
journal = {Analytical methods : advancing methods and applications},
doi = {10.1039/d6ay01392a},
url = {https://doi.org/10.1039/d6ay01392a}
}RIS
TY - JOUR TI - Interpretable near-infrared spectroscopic classification of Baijiu grades using XGBoost and multi-level XAI. AU - Zhang G AU - Qin M AU - Chen K AU - Deng S AU - Zeng X AU - Li L PY - 2026 JO - Analytical methods : advancing methods and applications DO - 10.1039/d6ay01392a UR - https://doi.org/10.1039/d6ay01392a ER -
APA
G, Z., M, Q., K, C., S, D., X, Z., & L, L. (2026). Interpretable near-infrared spectroscopic classification of Baijiu grades using XGBoost and multi-level XAI.. Analytical methods : advancing methods and applications. https://doi.org/10.1039/d6ay01392a
Source records
- pubmed · retrieved 2026-09-24T20:09:18.123Z