| 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), 227, 2020 | 171 | 2020 |
| A large-scale solar image dataset with labeled event regions MA Schuh, RA Angryk, KG Pillai, JM Banda, PC Martens 2013 IEEE International Conference on Image Processing, 4349-4353, 2013 | 56 | 2013 |
| Spatio-temporal co-occurrence pattern mining in data sets with evolving regions KG Pillai, RA Angryk, JM Banda, MA Schuh, T Wylie 2012 IEEE 12th international conference on data mining workshops, 805-812, 2012 | 52 | 2012 |
| SPRINTS: A framework for solar‐driven event forecasting and research AJ Engell, DA Falconer, M Schuh, J Loomis, D Bissett Space Weather 15 (10), 1321-1346, 2017 | 44 | 2017 |
| A comparative evaluation of automated solar filament detection MA Schuh, JM Banda, PN Bernasconi, RA Angryk, PCH Martens Solar Physics 289, 2503-2524, 2014 | 23 | 2014 |
| Graph-based ontology-guided data mining for D-matrix model maturation S Strasser, J Sheppard, M Schuh, R Angryk, C Izurieta 2011 Aerospace Conference, 1-12, 2011 | 23 | 2011 |
| 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 | 20 | 2018 |
| Spatiotemporal co-occurrence rules K Ganesan Pillai, RA Angryk, JM Banda, T Wylie, MA Schuh New Trends in Databases and Information Systems: 17th East European …, 2014 | 19 | 2014 |
| A Comprehensive Study of iDistance Partitioning Strategies for kNN Queries and High-Dimensional Data Indexing MA Schuh, T Wylie, JM Banda, RA Angryk Big Data: 29th British National Conference on Databases, BNCOD 2013, Oxford …, 2013 | 17 | 2013 |
| SWAN-SF R Angryk, P Martens, B Aydin, D Kempton, S Mahajan, S Basodi, ... Harvard Dataverse 1, 2020 | 16 | 2020 |
| On visualization techniques for solar data mining MA Schuh, JM Banda, T Wylie, P McInerney, KG Pillai, RA Angryk Astronomy and computing 10, 32-42, 2015 | 16 | 2015 |
| Massive labeled solar image data benchmarks for automated feature recognition MA Schuh, RA Angryk 2014 IEEE International Conference on Big Data (Big Data), 53-60, 2014 | 14 | 2014 |
| When too similar is bad: A practical example of the solar dynamics observatory content-based image-retrieval system JM Banda, MA Schuh, T Wylie, P McInerney, RA Angryk New Trends in Databases and Information Systems: 17th East European …, 2014 | 14 | 2014 |
| Big data new frontiers: Mining, search and management of massive repositories of solar image data and solar events JM Banda, MA Schuh, RA Angryk, KG Pillai, P McInerney New Trends in Databases and Information Systems: 17th East European …, 2014 | 14 | 2014 |
| Mitigating the Curse of Dimensionality for Exact kNN Retrieval. MA Schuh, T Wylie, RA Angryk FLAIRS, 2014 | 13 | 2014 |
| Solar image parameter data from the sdo: Long-term curation and data mining MA Schuh, RA Angryk, PC Martens Astronomy and computing 13, 86-98, 2015 | 12 | 2015 |
| An IEEE standards-based visualization tool for knowledge discovery in maintenance event sequences M Schuh, J Sheppard, S Strasser, R Angryk, C Izurieta IEEE Aerospace and Electronic Systems Magazine 28 (7), 30-39, 2013 | 12 | 2013 |
| Ontology-guided knowledge discovery of event sequences in maintenance data M Schuh, J Sheppard, S Strasser, R Angryk, C Izurieta 2011 IEEE AUTOTESTCON, 279-285, 2011 | 12 | 2011 |
| Tracking solar phenomena from the sdo DJ Kempton, MA Schuh, RA Angryk The Astrophysical Journal 869 (1), 54, 2018 | 11 | 2018 |
| Pg-trajectory: A postgresql/postgis based data model for spatiotemporal trajectories A Kucuk, SM Hamdi, B Aydin, MA Schuh, RA Angryk 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud …, 2016 | 11 | 2016 |
Rafal AngrykDistinguished Professor of Computer Science, Georgia State UniversityDirección de correo verificada de cs.montana.edu