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Dustin Kempton
Dustin Kempton
Research Assistant Professor, Georgia State University
Geverifieerd e-mailadres voor gsu.edu
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Multivariate time series dataset for space weather data analytics
RA Angryk, PC Martens, B Aydin, D Kempton, SS Mahajan, S Basodi, ...
Scientific data 7 (1), 1-13, 2020
342020
Spatiotemporal indexing techniques for efficiently mining spatiotemporal co-occurrence patterns
B Aydin, D Kempton, V Akkineni, SR Gopavaram, KG Pillai, R Angryk
2014 IEEE International Conference on Big Data, 1-10, 2014
272014
How to train your flare prediction model: Revisiting robust sampling of rare events
A Ahmadzadeh, B Aydin, MK Georgoulis, DJ Kempton, SS Mahajan, ...
The Astrophysical Journal Supplement Series 254 (2), 23, 2021
202021
Tracking solar events through iterative refinement
DJ Kempton, RA Angryk
Astronomy and Computing 13, 124-135, 2015
202015
Iterative Refinement of Multiple Targets Tracking of Solar Events
D Kempton, KG Pillai, R Angryk
2014 IEEE International Conference on Big Data, 36-44, 2014
202014
A time series classification-based approach for solar flare prediction
SM Hamdi, D Kempton, R Ma, SF Boubrahimi, RA Angryk
2017 IEEE International Conference on Big Data (Big Data), 2543-2551, 2017
182017
Spatio-temporal interpolation methods for solar events metadata
SF Boubrahimi, B Aydin, D Kempton, R Angryk
2016 IEEE International Conference on Big Data (Big Data), 3149-3157, 2016
182016
Challenges with extreme class-imbalance and temporal coherence: A study on solar flare data
A Ahmadzadeh, M Hostetter, B Aydin, MK Georgoulis, DJ Kempton, ...
2019 IEEE international conference on big data (Big Data), 1423-1431, 2019
132019
Filling the gaps in solar big data: Interpolation of solar filament event instances
SF Boubrahimi, B Aydin, D Kempton, SS Mahajan, R Angryk
2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud …, 2016
122016
Mining spatiotemporal co-occurrence patterns in solar datasets
B Aydin, D Kempton, V Akkineni, R Angryk, KG Pillai
Astronomy and computing 13, 136-144, 2015
122015
Spatiotemporal interpolation methods for solar event trajectories
SF Boubrahimi, B Aydin, MA Schuh, D Kempton, RA Angryk, R Ma
The Astrophysical Journal Supplement Series 236 (1), 23, 2018
112018
Mining at most top-k% spatiotemporal co-occurrence patterns in datasets with extended spatial representations
KG Pillai, RA Angryk, JM Banda, D Kempton, B Aydin, PC Martens
ACM Transactions on Spatial Algorithms and Systems (TSAS) 2 (3), 1-27, 2016
92016
Understanding the impact of statistical time series features for flare prediction analysis
M Hostetter, A Ahmadzadeh, B Aydin, MK Georgoulis, DJ Kempton, ...
2019 IEEE International Conference on Big Data (Big Data), 4960-4966, 2019
82019
Towards feature selection for appearance models in solar event tracking
DJ Kempton, MA Schuh, RA Angryk
International Conference on Artificial Intelligence and Soft Computing, 88-101, 2016
82016
SWAN-SF
R Angryk, P Martens, B Aydin, D Kempton, S Mahajan, S Basodi, ...
Harvard Dataverse, 2020
62020
Tracking solar phenomena from the sdo
DJ Kempton, MA Schuh, RA Angryk
The Astrophysical Journal 869 (1), 54, 2018
62018
Towards using sparse coding in appearance models for solar event tracking
D Kempoton, M Schuh, R Angryk
2016 19th International Conference on Information Fusion (FUSION), 1252-1259, 2016
62016
Rare-event time series prediction: a case study of solar flare forecasting
A Ahmadzadeh, B Aydin, DJ Kempton, M Hostetter, RA Angryk, ...
2019 18th IEEE international conference on machine learning and applications …, 2019
52019
Prediction of solar eruptions using filament metadata
A Aggarwal, N Schanche, KK Reeves, D Kempton, R Angryk
The Astrophysical Journal Supplement Series 236 (1), 15, 2018
52018
Improving the functionality of tamura directionality on solar images
A Ahmadzadeh, DJ Kempton, MA Schuh, RA Angryk
2017 IEEE International Conference on Big Data (Big Data), 2518-2526, 2017
52017
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Artikelen 1–20