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ZENODO
Software . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
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Prospectivity modelling of critical mineral deposits using a generative adversarial network with oversampling and positive-unlabelled bagging

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 01 Jan 2023Publisher:Zenodo
Authors: Farahbakhsh, Ehsan; Maughan, Jack; Müller, R. Dietmar;
Code repository: https://github.com/e-farahbakhsh/MPM_Gawler/tree/v1.0.1

doi: 10.5281/zenodo.14188773 , 10.5281/zenodo.7388657

Prospectivity modelling of critical mineral deposits using a generative adversarial network with oversampling and positive-unlabelled bagging

Abstract

Supplementary materials, including Python scripts, Jupyter Notebooks, and datasets used to create the mineral prospectivity maps presented in the paper: Farahbakhsh, E., Maughan, J., Müller, R. D. (2023) Prospectivity modelling of critical mineral deposits using a generative adversarial network with oversampling and positive-unlabelled bagging, Ore Geology Reviews, 105665.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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