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

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

Applied Computer Systems
Volume 25 (2020): Issue 2 (December 2020)
By: ,  ,  ,   and    
Open Access
|Dec 2020
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DOI: https://doi.org/10.2478/acss-2020-0016 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 145 - 152
Published on: Dec 28, 2020
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Assessment of expert influence,
lithology,
machine learning,
SHAP,
uranium mining
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2020 Yan Kuchin, Ravil Mukhamediev, Kirill Yakunin, Janis Grundspenkis, Adilkhan Symagulov, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 25 (2020): Issue 2 (December 2020)
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