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- W3122561866 abstract "Summary In this paper, I introduce a comprehensive machine learning framework that combines the benefits of complementary algorithms. The user can design his/her own workflow through easy combination of a large number of Python libraries. This approach is addressed to many different types of applications in geosciences at variable spatial scale and for different purposes. I discuss briefly two applications: the first is a case of litho-facies classification of well log data; the second concerns the construction of probabilistic maps of oil distribution using multidisciplinary geophysical data." @default.
- W3122561866 created "2021-02-01" @default.
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- W3122561866 date "2021-01-01" @default.
- W3122561866 modified "2023-10-16" @default.
- W3122561866 title "An Integrated Machine Learning Platform for Multi-Scale and Multi-Domain Applications in Geosciences" @default.
- W3122561866 doi "https://doi.org/10.3997/2214-4609.202010168" @default.
- W3122561866 hasPublicationYear "2021" @default.
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