Automated Machine Learning Driven Stacked Ensemble Modeling for Forest Aboveground Biomass Prediction Using Multitemporal Sentinel-2 Data-Reference-Cited by-同舟云学术

Automated Machine Learning Driven Stacked Ensemble Modeling for Forest Aboveground Biomass Prediction Using Multitemporal Sentinel-2 Data

Published:2023 Issue: Volume:16 Page:3442-3454
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Naik Parth¹^ORCID,Dalponte Michele²^ORCID,Bruzzone Lorenzo¹^ORCID

Affiliation:

1. Department of Information Engineering and Computer Science, University of Trento, Trento, Italy

2. Research and Innovation Centre, Fondazione Edmund Mach, via E. Mach 1, San Michele all'Adige, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference90 articles.

3. Gradient-based hyperparameter optimization through reversible learning;maclaurin;Proc 32nd Int Conf Mach Learn,2015

4. Automated model design and benchmarking of 3D deep learning models for COVID-19 detection with chest CT scans;he,2021

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

5. Ormancılıkta makine öğrenmesi kullanımı;Turkish Journal of Forestry | Türkiye Ormancılık Dergisi;2023-05-17