A dual-track machine learning framework for andesite tectonic environment identification: ensemble learning and few-shot learning
- DOI
- 10.1080/20964471.2025.2603810
- Published
- 2026-02-04
- Container
- Big Earth Data
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/20964471.2025.2603810,
title = {A dual-track machine learning framework for andesite tectonic environment identification: ensemble learning and few-shot learning},
author = {Penggang Li and Haiyang He and Fenghua Gu and Xiaoqiang Zhu and Zhengqing Wang and Shili Han and Yuxing He and Xiangcheng Li and Huanbao Zhang},
year = {2026},
journal = {Big Earth Data},
doi = {10.1080/20964471.2025.2603810},
url = {https://doi.org/10.1080/20964471.2025.2603810}
}RIS
TY - JOUR TI - A dual-track machine learning framework for andesite tectonic environment identification: ensemble learning and few-shot learning AU - Penggang Li AU - Haiyang He AU - Fenghua Gu AU - Xiaoqiang Zhu AU - Zhengqing Wang AU - Shili Han AU - Yuxing He AU - Xiangcheng Li AU - Huanbao Zhang PY - 2026 JO - Big Earth Data DO - 10.1080/20964471.2025.2603810 UR - https://doi.org/10.1080/20964471.2025.2603810 ER -
APA
Li, P., He, H., Gu, F., Zhu, X., Wang, Z., Han, S., He, Y., Li, X., & Zhang, H. (2026). A dual-track machine learning framework for andesite tectonic environment identification: ensemble learning and few-shot learning. Big Earth Data. https://doi.org/10.1080/20964471.2025.2603810
Source records
- crossref · retrieved 2026-11-04T01:55:26.642Z