Application of explainable machine learning to characterizing apatite fertility in porphyry-skarn deposits

Le Wang, Le; Qin, Ben; Chiaradia, Massimo; Qin, Ke-Zhang; Cao, Ming-Jian

doi:10.1016/j.oregeorev.2025.106926

Scientific article

English

Application of explainable machine learning to characterizing apatite fertility in porphyry-skarn deposits

ContributorsLe Wang, Le

; Qin, Ben

; Chiaradia, Massimo

; Qin, Ke-Zhang; Cao, Ming-Jian

Published inOre geology reviews, vol. 186, 106926

Publication date2025-11

Affiliation entities

Faculté des sciences / Section des sciences de la Terre et de l'Environnement / Département des sciences de la Terre

Research groups

Citation (ISO format)

LE WANG, Le et al. Application of explainable machine learning to characterizing apatite fertility in porphyry-skarn deposits. In: Ore geology reviews, 2025, vol. 186, p. 106926. doi: 10.1016/j.oregeorev.2025.106926

Article (Published version)

CC BY-4.0

Identifiers

PID : unige:188326
DOI : 10.1016/j.oregeorev.2025.106926

Additional URL for this publicationhttps://linkinghub.elsevier.com/retrieve/pii/S016913682500486X

Journal ISSN0169-1368

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Creation09/10/2025 10:49:33

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Application of explainable machine learning to characterizing apatite fertility in porphyry-skarn deposits

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