A Comparison of Class Imbalance Techniques for Real-World Landslide Predictions-Reference-Cited by-同舟云学术

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A Comparison of Class Imbalance Techniques for Real-World Landslide Predictions

Published:2017-12 Issue: Volume: Page:
ISSN:
Container-title:2017 International Conference on Machine Learning and Data Science (MLDS)
language:
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Author:

Agrawal Kapil,Baweja Yashasvi,Dwivedi Deepti,Saha Ritwik,Prasad Prabhakar,Agrawal Shubham,Kapoor Sunil,Chaturvedi Pratik,Mali Naresh,Kala Venkata Uday,Dutt Varun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8318973/8320244/08320251.pdf?arnumber=8320251

Cited by 27 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

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3. Evaluation of Various Deep Learning Algorithms for Landslide and Sinkhole Detection from UAV Imagery in a Semi-arid Environment;Earth Systems and Environment;2024-06-27

4. A side-sampling based Linformer model for landslide susceptibility assessment: a case study of the railways in China;Geomatics, Natural Hazards and Risk;2024-05-24

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