| 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 | 54 | 2013 |
| A Filter-and-Refine Approach to Mine Spatiotemporal Co-occurrences KG Pillai, RA Angryk, B Aydin Proceedings of the 21th International Conference on Advances in Geographic …, 2013 | 48 | 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 | 46 | 2012 |
| 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 (Big Data), 1-10, 2014 | 30 | 2014 |
| Iterative refinement of multiple targets tracking of solar events D Kempton, KG Pillai, R Angryk 2014 IEEE International Conference on Big Data (Big Data), 36-44, 2014 | 21 | 2014 |
| DOSI: Training Artificial Neural Networks using Overlapping Swarm Intelligence with Local Credit Assignment'' KGP Nathan Fortier, John Sheppard SCIS-ISIS, 1420-1425, 2012 | 21* | 2012 |
| Overlapping swarm intelligence for training artificial neural networks KG Pillai, JW Sheppard 2011 IEEE Symposium on Swarm Intelligence, 1-8, 2011 | 21 | 2011 |
| 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 |
| Bayesian abductive inference using overlapping swarm intelligence N Fortier, J Sheppard, KG Pillai 2013 IEEE Symposium on Swarm Intelligence (SIS), 263-270, 2013 | 19 | 2013 |
| ERMO-DG: Evolving Region Moving Object Dataset Generator B Aydin, RA Angryk, KG Pillai Proc. of the 27th International Florida Artificial Intelligence Research …, 2014 | 17 | 2014 |
| 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 |
| 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 | 14 | 2015 |
| 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 | 12 | 2014 |
| Multi-sensor Remote Sensing Image Change Detection: An Evaluation of Similarity Measures KG Pillai, RR Vatsavai ICDM Workshops 2013, 2013 | 11 | 2013 |
| 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 | 10 | 2016 |
| Abductive Inference in Bayesian Belief Networks Using Swarm Intelligence JS Karthik Ganesan Pillai SCIS-ISIS, 375-380, 2012 | 7* | 2012 |
| Extending High-Dimensional Indexing Techniques Pyramid and iMinMax(θ): Lessons Learned KG Pillai, L Sturlaugson, JM Banda, RA Angryk Big Data: 29th British National Conference on Databases, BNCOD 2013, Oxford …, 2013 | 6 | 2013 |
| Parallel simulated annealing for VLSI cell placement problem A Roy, KG Pillai Montana State University, 2009 | 4 | 2009 |
| Hemispheric Patterns in Filament Chirality and Sigmoid Shape over the Solar Cycle PC Martens, AR Yeates, KG Pillai | 3 | 2013 |
| Mining spatiotemporal co-occurrence patterns from massive data sets with evolving regions KG Pillai Montana State University, 2014 | 1 | 2014 |
Rafal AngrykDistinguished Professor of Computer Science, Georgia State UniversityGeverifieerd e-mailadres voor cs.montana.edu
