[HTML][HTML] Ensemble learning models with a Bayesian optimization algorithm for mineral prospectivity map**

J Yin, N Li - Ore geology reviews, 2022 - Elsevier
Abstract Machine learning algorithms have been widely applied in mineral prospectivity
map** (MPM). In this study, we implemented ensemble learning of extreme gradient …

Data analysis methods for prospectivity modelling as applied to mineral exploration targeting: State-of-the-art and outlook

M Yousefi, EJM Carranza, OP Kreuzer… - Journal of Geochemical …, 2021 - Elsevier
Mineral exploration targeting is a highly complex decision-making task. Two key risk factors,
the quality of exploration data and robustness of the underlying conceptual targeting model …

Translation of the function of hydrothermal mineralization-related focused fluid flux into a mappable exploration criterion for mineral exploration targeting

M Yousefi, JMA Hronsky - Applied Geochemistry, 2023 - Elsevier
Formation of hydrothermal mineralization is related to the late stages of, or immediate
following, orogenic compressional regimes that have been superimposed on arc …

A data augmentation approach to XGboost-based mineral potential map**: an example of carbonate-hosted ZnPb mineral systems of Western Iran

M Parsa - Journal of Geochemical Exploration, 2021 - Elsevier
This study intends to showcase the application of Extreme Gradient boosting (XGboost), a
state-of-the-art ensemble-learning technique, for district-scale mineral potential map** …

Geodata science-based mineral prospectivity map**: A review

R Zuo - Natural Resources Research, 2020 - Springer
This paper introduces the concept of geodata science-based mineral prospectivity map**
(GSMPM), which is based on analyzing the spatial associations between geological …

[HTML][HTML] Mitigating uncertainties in mineral exploration targeting: Majority voting and confidence index approaches in the context of an exploration information system …

M Yousefi, MD Lindsay, O Kreuzer - Ore Geology Reviews, 2024 - Elsevier
Various mineral prospectivity modelling (MPM) approaches are available for targeting
mineral deposits, each method capable of predicting areas of high prospectivity. Given the …