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Farahbakhsh, Ehsan; Maughan, Jack; Müller, R. Dietmar (2023) Prospectivity modelling of critical mineral deposits using a generative adversarial network with oversampling and positive-unlabelled bagging. Ore Geology Reviews, 162. doi:10.1016/j.oregeorev.2023.105665

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Reference TypeJournal (article/letter/editorial)
TitleProspectivity modelling of critical mineral deposits using a generative adversarial network with oversampling and positive-unlabelled bagging
JournalOre Geology Reviews
AuthorsFarahbakhsh, EhsanAuthor
Maughan, JackAuthor
Müller, R. DietmarAuthor
Year2023 (November)Volume162
PublisherElsevier BV
DOIdoi:10.1016/j.oregeorev.2023.105665Search in ResearchGate
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Mindat Ref. ID16857773Long-form Identifiermindat:1:5:16857773:8
GUID0
Full ReferenceFarahbakhsh, Ehsan; Maughan, Jack; Müller, R. Dietmar (2023) Prospectivity modelling of critical mineral deposits using a generative adversarial network with oversampling and positive-unlabelled bagging. Ore Geology Reviews, 162. doi:10.1016/j.oregeorev.2023.105665
Plain TextFarahbakhsh, Ehsan; Maughan, Jack; Müller, R. Dietmar (2023) Prospectivity modelling of critical mineral deposits using a generative adversarial network with oversampling and positive-unlabelled bagging. Ore Geology Reviews, 162. doi:10.1016/j.oregeorev.2023.105665
In(2023) Ore Geology Reviews Vol. 162. Elsevier BV

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Li, Tong; Zuo, Renguang; Zhao, Xinfu; Zhao, Kuidong (2022) Mapping prospectivity for regolith-hosted REE deposits via convolutional neural network with generative adversarial network augmented data. Ore Geology Reviews, 142. doi:10.1016/j.oregeorev.2022.104693
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