Author Correction: Hierarchical automated machine learning (AutoML) for advanced unconventional reservoir characterization

Bibliographic Details
Main Authors: Yousef Mubarak, Ardiansyah Koeshidayatullah
Format: Article
Language:English
Published: Nature Portfolio 2023-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-46975-3
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author Yousef Mubarak
Ardiansyah Koeshidayatullah
author_facet Yousef Mubarak
Ardiansyah Koeshidayatullah
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spelling doaj.art-b0f66a362d43450da6b1d5672734cc482023-11-12T12:13:47ZengNature PortfolioScientific Reports2045-23222023-11-011311110.1038/s41598-023-46975-3Author Correction: Hierarchical automated machine learning (AutoML) for advanced unconventional reservoir characterizationYousef Mubarak0Ardiansyah Koeshidayatullah1Department of Geosciences, College of Petroleum Engineering and Geosciences, King Fahd University of Petroleum and MineralsDepartment of Geosciences, College of Petroleum Engineering and Geosciences, King Fahd University of Petroleum and Mineralshttps://doi.org/10.1038/s41598-023-46975-3
spellingShingle Yousef Mubarak
Ardiansyah Koeshidayatullah
Author Correction: Hierarchical automated machine learning (AutoML) for advanced unconventional reservoir characterization
Scientific Reports
title Author Correction: Hierarchical automated machine learning (AutoML) for advanced unconventional reservoir characterization
title_full Author Correction: Hierarchical automated machine learning (AutoML) for advanced unconventional reservoir characterization
title_fullStr Author Correction: Hierarchical automated machine learning (AutoML) for advanced unconventional reservoir characterization
title_full_unstemmed Author Correction: Hierarchical automated machine learning (AutoML) for advanced unconventional reservoir characterization
title_short Author Correction: Hierarchical automated machine learning (AutoML) for advanced unconventional reservoir characterization
title_sort author correction hierarchical automated machine learning automl for advanced unconventional reservoir characterization
url https://doi.org/10.1038/s41598-023-46975-3
work_keys_str_mv AT yousefmubarak authorcorrectionhierarchicalautomatedmachinelearningautomlforadvancedunconventionalreservoircharacterization
AT ardiansyahkoeshidayatullah authorcorrectionhierarchicalautomatedmachinelearningautomlforadvancedunconventionalreservoircharacterization