Solar Flare Prediction from Time Series of Solar Magnetic Field Parameters
A Track in the IEEE Big Data 2019 Big Data Cup
Schedule
This Big Data Cup is a companion to the Solar & Stellar Astronomy Big Data (SABID) workshop where the works from both are combined into one workshop. The schedule below is for the combined workshop to be held on December 12th.
Time |
Title |
Presenter/Author |
|
|---|---|---|---|
| 8:00-8:20 | An Application of Spatio-temporal Co-occurrence Analyses for Integrating Solar Active Region Data from Multiple Reporting Modules | Xumin Cai | |
| 8:25-8:45 | Window-Based Feature Extraction Method using XGBoost for Time Series Classification of Solar Flares | Renan Sauteraud | |
| 8:50-9:10 | Solar Flare Prediction Using two-tier Ensemble with Deep Learning and Gradient Boosting Machine | Tommy Dang | |
| 9:15-9:35 | A Deep Learning Model with Multi-Scale Skip Connections for Solar Flare Prediction Combined with Prior Information | Tian Han | |
| 9:35-9:55 | Coffee Break | ||
| 10:00-10:20 | Solar Flare Classification with Time Series Profiling | Ruizhe Ma | |
| 10:25-10:45 | Solar event tracking with Deep Regression Networks: A proof of concept evaluation | Juan M. Banda | |
| 10:50-11:10 | Toward Filament Segmentation Using Deep Neural Networks | Azim Ahmadzadeh | |
| 11:15-11:35 | Towards Understanding the Impact of Statistical Time Series Features for Flare Prediction Analysis | Dustin J. Kempton | |
| 11:40-12:00 | Closing Remarks | ||