Search Results for author:
Found 3 papers, 0 papers with code
Unsupervised ore/waste classification on open-cut mine faces using close-range hyperspectral data
The proposed pipeline brings together unsupervised and self-supervised algorithms in a unified system to map minerals on a mine face without the need for human-annotated training data.
Empirical observations on the effects of data transformation in machine learning classification of geological domains
The performance of pairwise log-ratio (PWLR) transformation is better than ILR for ensemble and tree-based learners such as boosting and RF; but worse for MLP, SVM and other classifiers.
Surface Warping Incorporating Machine Learning Assisted Domain Likelihood Estimation: A New Paradigm in Mine Geology Modelling and Automation
Once ML likelihood estimators are integrated in the surface warping framework, surface shaping performance is evaluated using unseen data by examining the categorical distribution of test samples located above and below the warped surface.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
