Guo, Min, Chen, Yongliang (2024) High-performance imbalanced learning ensembles of decision trees for detecting mineralization anomalies from geochemical exploration data. Journal of Geochemical Exploration, 259. 107443 doi:10.1016/j.gexplo.2024.107443
Reference Type | Journal (article/letter/editorial) | ||
---|---|---|---|
Title | High-performance imbalanced learning ensembles of decision trees for detecting mineralization anomalies from geochemical exploration data | ||
Journal | Journal of Geochemical Exploration | ||
Authors | Guo, Min | Author | |
Chen, Yongliang | Author | ||
Year | 2024 (April) | Volume | 259 |
Publisher | Elsevier BV | ||
DOI | doi:10.1016/j.gexplo.2024.107443Search in ResearchGate | ||
Generate Citation Formats | |||
Mindat Ref. ID | 17201249 | Long-form Identifier | mindat:1:5:17201249:2 |
GUID | 0 | ||
Full Reference | Guo, Min, Chen, Yongliang (2024) High-performance imbalanced learning ensembles of decision trees for detecting mineralization anomalies from geochemical exploration data. Journal of Geochemical Exploration, 259. 107443 doi:10.1016/j.gexplo.2024.107443 | ||
Plain Text | Guo, Min, Chen, Yongliang (2024) High-performance imbalanced learning ensembles of decision trees for detecting mineralization anomalies from geochemical exploration data. Journal of Geochemical Exploration, 259. 107443 doi:10.1016/j.gexplo.2024.107443 | ||
In | (2024) Journal of Geochemical Exploration Vol. 259. Elsevier BV |
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