Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data-Reference-Cited by-同舟云学术

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Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Conference on Big Data (Big Data)
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Author:

Ahmadzadeh Azim,Hostetter Maxwell,Aydin Berkay,Georgoulis Manolis K.,Kempton Dustin J.,Mahajan Sushant S.,Angryk Rafal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8986695/9005444/09006505.pdf?arnumber=9006505

Cited by 23 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. Predicting host range expansion in parasitic mites using a global mammalian-acarine dataset;Nature Communications;2024-06-26

2. Short-term Classification of Strong Solar Energetic Particle Events Using Multivariate Time-series Classifiers;The Astrophysical Journal;2024-05-01

3. Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF;Lecture Notes in Computer Science;2024

4. An Innovative Solar Flare Metadata Collection for Space Weather Analytics;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15

5. Solar Flare Prediction and Feature Selection Using a Light-Gradient-Boosting Machine Algorithm;Solar Physics;2023-11

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