Multioutput Feature Selection for Emulation and Sensitivity Analysis
Author:
Affiliation:
1. Image Processing Laboratory, University of Valencia, Valencia, Spain
2. Escuela técnica superior de ingeniería de telecomunicación, University Rey Juan Carlos, Madrid, Spain
3. CONAHCYT-UAN, Universidad Autónoma de Nayarit, Tepic, Mexico
Funder
Young Researchers Research and Development Project through AUTO-BA-GRAPH funded by the Community of Madrid and Rey Juan Carlos University
Agencia Estatal de Investigacion (AEI) through Project SP-GRAPH
European Research Council (ERC) through the ERC-2017-STG SENTIFLEX Project
ERC through ERC-CoG-2019 USMILE Project
Marie Curie ETN iMIRACLI
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10413599.pdf?arnumber=10413599
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1. A Survey on Gaussian Processes for Earth-Observation Data Analysis: A Comprehensive Investigation
2. Retrieval of Vegetation Biophysical Parameters Using Gaussian Process Techniques
3. Physics-aware Gaussian processes in remote sensing
4. Physics-aware nonparametric regression models for Earth data analysis
5. Improving air quality assessment using physics-inspired deep graph learning
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