Assessing the Impact of Expert Labelling of Training Data on the Quality of Automatic Classification of Lithological Groups Using Artificial Neural Networks

Publié en ligne: 28 déc. 2020

Pages: 145 - 152

DOI: https://doi.org/10.2478/acss-2020-0016

Mots clés

Assessment of expert influence, lithology, machine learning, SHAP, uranium mining

© 2020 Yan Kuchin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.