Deep learning and its application in geochemical map**
R Zuo, Y ** using machine learning methods: A case study from Tongling ore district, eastern China
T Sun, F Chen, L Zhong, W Liu, Y Wang - Ore Geology Reviews, 2019 - Elsevier
Predictive modelling of mineral prospectivity using GIS is a valid and progressively more
accepted tool for delineating reproducible mineral exploration targets. In this study, machine …
accepted tool for delineating reproducible mineral exploration targets. In this study, machine …
Stacking: A novel data-driven ensemble machine learning strategy for prediction and map** of Pb-Zn prospectivity in Varcheh district, west Iran
Various ensemble machine learning techniques have been widely studied and implemented
to construct the predictive models in different sciences, including bagging, boosting, and …
to construct the predictive models in different sciences, including bagging, boosting, and …
Random-drop data augmentation of deep convolutional neural network for mineral prospectivity map**
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** …
state-of-the-art ensemble-learning technique, for district-scale mineral potential map** …
Data analysis methods for prospectivity modelling as applied to mineral exploration targeting: State-of-the-art and outlook
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 …
the quality of exploration data and robustness of the underlying conceptual targeting model …
Data-driven predictive modelling of mineral prospectivity using machine learning and deep learning methods: A case study from southern Jiangxi Province, China
T Sun, H Li, K Wu, F Chen, Z Zhu, Z Hu - Minerals, 2020 - mdpi.com
Predictive modelling of mineral prospectivity, a critical, but challenging procedure for
delineation of undiscovered prospective targets in mineral exploration, has been spurred by …
delineation of undiscovered prospective targets in mineral exploration, has been spurred by …