Dustin Kempton

According to our database1, Dustin Kempton authored at least 12 papers between 2014 and 2017.

Collaborative distances :
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2017
An Integrated Solar Database (ISD) with Extended Spatiotemporal Querying Capabilities.
Proceedings of the Advances in Spatial and Temporal Databases, 2017

A Region-Based Retrieval System for Heliophysics Imagery.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

A time series classification-based approach for solar flare prediction.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

Improving the functionality of tamura directionality on solar images.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

2016
Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Datasets with Extended Spatial Representations.
ACM Trans. Spatial Algorithms and Systems, 2016

Towards Feature Selection for Appearance Models in Solar Event Tracking.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

SOLEV: a video generation framework for solar events from mixed data sources (demo paper).
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

Describing solar images with sparse coding for similarity search.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

Spatio-temporal interpolation methods for solar events metadata.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

Filling the Gaps in Solar Big Data: Interpolation of Solar Filament Event Instances.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

2014
Iterative refinement of multiple targets tracking of solar events.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

Spatiotemporal indexing techniques for efficiently mining spatiotemporal co-occurrence patterns.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014


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