Position-dependent partial convolutions for supervised spatial interpolation-Reference-Cited by-同舟云学术

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Position-dependent partial convolutions for supervised spatial interpolation

Published:2023-12 Issue: Volume:14 Page:100514
ISSN:2666-8270
Container-title:Machine Learning with Applications
language:en
Short-container-title:Machine Learning with Applications

Author:

Hachiya Hirotaka^ORCID,Nagayoshi Kotaro,Iwaki Asako,Maeda Takahiro,Ueda Naonori,Fujiwara Hiroyuki

Funder

Government of Japan Ministry of Education Culture Sports Science and Technology

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference30 articles.

1. Evaluating machine learning approaches for the interpolation of monthly air temperature at Mt. Kilimanjaro, Tanzania;Appelhans;Spatial Satatics,2015

2. Image inpainting: A review;Elharrouss;Neural Processing Letters,2020

3. Random forest for spatial prediction of censored response variables;Fouedjio;Artificial Intelligence in Geosciences,2021

4. Progressive image inpainting with full-resolution residual network;Guo,2019

5. Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables;Hengl;PeerJ,2018

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