Machine Learning model interpretability using SHAP values: Application to Igneous Rock Classification task-Reference-Cited by-同舟云学术

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Machine Learning model interpretability using SHAP values: Application to Igneous Rock Classification task

Published:2024-09 Issue: Volume:23 Page:100178
ISSN:2590-1974
Container-title:Applied Computing and Geosciences
language:en
Short-container-title:Applied Computing and Geosciences

Author:

Antonini Antonella S.^ORCID,Tanzola Juan,Asiain Lucía,Ferracutti Gabriela R.,Castro Silvia M.,Bjerg Ernesto A.,Ganuza María Luján

Publisher

Elsevier BV

Reference41 articles.

1. Automatic classification of plutonic rocks with deep learning;Alférez;Appl. Comput. Geosci.,2021

2. A chemical classification of volcanic rocks based on the total alkali-silica diagram;Bas;J. Petrol.,1986

3. Random forests;Breiman;Mach. Learn.,2001

4. Petrología y Geoquímica de los Cuerpos Máficos-Ultramáficos Estratificados de la Sierra Grande de San Luis;Cacace,2019

5. Petrografía, geoquímica y estratigrafía ígnea del cuerpo intrusivo escuela las pircas, sierra grande de san luis, Argentina;Cacace;Rev. Asoc. Geol. Argent.,2019

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