Acid sulfate soil mapping in western Finland: How to work with imbalanced datasets and machine learning-Reference-Cited by-同舟云学术

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Acid sulfate soil mapping in western Finland: How to work with imbalanced datasets and machine learning

Published:2024-07 Issue: Volume:447 Page:116916
ISSN:0016-7061
Container-title:Geoderma
language:en
Short-container-title:Geoderma

Author:

Estévez Virginia^ORCID,Mattbäck Stefan^ORCID,Boman Anton^ORCID,Liwata-Kenttälä Pauliina,Björk Kaj-Mikael^ORCID,Österholm Peter

Publisher

Elsevier BV

Reference77 articles.

1. Aerogephysics in Finland 1972-2004 Methods, System Characteristics and Applications;Airo,2005

2. Characterization of sulfide deposits by airborne magnetic and gamma-ray responses in eastern Finland;Airo;Ore Geol. Rev.,2004

3. Randomized model structure selection approach for extreme learning machine applied to acid sulfate soil detection;Akusok,2023

4. Acid sulfate soils: Distribution and extent;Andriesse,2006

5. Predicting heavy metal contents by applying machine learning approaches and environmental covariates in west of Iran;Azizi;J. Geochem. Explor.,2022

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