Recursive Feature Elimination for Machine Learning-based Landslide Prediction Models-Reference-Cited by-同舟云学术

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Recursive Feature Elimination for Machine Learning-based Landslide Prediction Models

Published:2021-04-13 Issue: Volume: Page:
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Container-title:2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
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Author:

Munasinghe Kusala,Karunanayake Piyumika

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9415178/9415179/09415232.pdf?arnumber=9415232

Cited by 7 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

1. Study on Landslide Susceptibility Evaluation Based on Improved Multivariable Weighted Model: A Case Study of Lushan County, China;2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI);2023-06-16

2. Analysis of Conditioning Factors in Cuenca, Ecuador, for Landslide Susceptibility Maps Generation Employing Machine Learning Methods;Land;2023-05-27

3. Ensemble machine learning regression model based predictive framework for Parkinson’s UPDRS motor score prediction from speech data;International Journal of Speech Technology;2023-03-28

4. Landslide susceptibility assessment in Western Henan based on a comparison of conventional and integrated learning;China Geology;2023

5. Cardiovascular disease prediction with imputation techniques and recursive feature elimination;THE 6TH INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT, EPIDEMIOLOGY AND INFORMATION SYSTEM (ICENIS) 2021: Topic of Energy, Environment, Epidemiology, and Information System;2023

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