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Applied Computer Systems
Volume 25 (2020): Issue 2 (December 2020)
Open Access
Assessing the Impact of Expert Labelling of Training Data on the Quality of Automatic Classification of Lithological Groups Using Artificial Neural Networks
Yan Kuchin
Yan Kuchin
,
Ravil Mukhamediev
Ravil Mukhamediev
,
Kirill Yakunin
Kirill Yakunin
,
Janis Grundspenkis
Janis Grundspenkis
and
Adilkhan Symagulov
Adilkhan Symagulov
| Dec 28, 2020
Applied Computer Systems
Volume 25 (2020): Issue 2 (December 2020)
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Published Online:
Dec 28, 2020
Page range:
145 - 152
DOI:
https://doi.org/10.2478/acss-2020-0016
Keywords
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.
Yan Kuchin
Riga Technical University,
Riga, Latvia
Satbayev University,
Almaty, Kazakhstan
Ravil Mukhamediev
Satbayev University,
Almaty, Kazakhstan
Kirill Yakunin
Satbayev University,
Almaty, Kazakhstan
Janis Grundspenkis
Riga Technical University,
Riga, Latvia
Adilkhan Symagulov
Riga Technical University,
Riga, Latvia
Satbayev University,
Almaty, Kazakhstan