Feature Selection from Multivariate Time Series Data: A Case Study of Solar Flare Prediction
Author:
Affiliation:
1. New Mexico State University,Department of Computer Science,Las Cruces,NM,USA
2. Utah State University,Department of Computer Science,Logan,UT,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020669.pdf?arnumber=10020669
Reference20 articles.
1. Mutual information based feature subset selection in multivariate time series classification
2. Feature selection techniques with class separability for multivariate time series
3. Neural machine translation by jointly learning to align and translate;bahdanau,2014
4. Feature Selection for Multivariate Time Series via Network Pruning
5. Biomarker Detection from fMRI-Based Complete Functional Connectivity Networks
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1. Classification of Major Solar Flares from Extremely Imbalanced Multivariate Time Series Data Using Minimally Random Convolutional Kernel Transform;Universe;2024-05-24
2. Identifying Flare-indicative Photospheric Magnetic Field Parameters from Multivariate Time-series Data of Solar Active Regions;The Astrophysical Journal Supplement Series;2024-03-19
3. Improving Solar Energetic Particle Event Prediction through Multivariate Time Series Data Augmentation;The Astrophysical Journal Supplement Series;2024-02-01
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