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ORCIDMichael A. Schuh
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2010 – 2019
- 2017
[c20]Azim Ahmadzadeh
, Dustin J. Kempton, Michael A. Schuh, Rafal A. Angryk:
Improving the functionality of tamura directionality on solar images. IEEE BigData 2017: 2518-2526- [c19]Michael A. Schuh, Dustin Kempton, Rafal A. Angryk:
A Region-Based Retrieval System for Heliophysics Imagery. FLAIRS 2017: 526-531 - [c18]Sajitha Naduvil-Vadukootu, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk:
Cultivating Evolving Region Trajectory Datasets. ICDM Workshops 2017: 274-279 - 2016
- [j3]Tim Wylie, Michael A. Schuh, Rafal A. Angryk:
Enabling high-dimensional range queries using kNN indexing techniques: approaches and empirical results. J. Comb. Optim. 32(4): 1107-1132 (2016) - [c17]Ahmet Küçük, Shah Muhammad Hamdi, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk:
Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories. BDCloud-SocialCom-SustainCom 2016: 81-88 - [c16]Dustin J. Kempton, Michael A. Schuh, Rafal A. Angryk:
Describing solar images with sparse coding for similarity search. IEEE BigData 2016: 3168-3176 - [c15]Michael A. Schuh, Rafal A. Angryk:
On the theory and practice of high-dimensional data indexing with iDistance. IEEE BigData 2016: 3593-3600 - [c14]Dustin J. Kempton, Michael A. Schuh, Rafal A. Angryk:
Towards Feature Selection for Appearance Models in Solar Event Tracking. ICAISC (2) 2016: 88-101 - 2015
- [j2]Michael A. Schuh, Juan M. Banda, Tim Wylie, Patrick McInerney, Karthik Ganesan Pillai, Rafal A. Angryk:
On visualization techniques for solar data mining. Astron. Comput. 10: 32-42 (2015) - [j1]Michael A. Schuh, Rafal A. Angryk, Petrus C. Martens:
Solar image parameter data from the SDO: Long-term curation and data mining. Astron. Comput. 13: 86-98 (2015) - 2014
- [c13]Michael A. Schuh, Rafal A. Angryk:
Massive labeled solar image data benchmarks for automated feature recognition. IEEE BigData 2014: 53-60 - [c12]Michael A. Schuh, Tim Wylie, Chang Liu, Rafal A. Angryk:
Approximating High-Dimensional Range Queries with kNN Indexing Techniques. COCOON 2014: 369-380 - [c11]Michael A. Schuh, Tim Wylie, Rafal A. Angryk:
Mitigating the Curse of Dimensionality for Exact kNN Retrieval. FLAIRS 2014 - [c10]Juan M. Banda, Rafal A. Angryk, Michael A. Schuh, Petrus C. Martens:
Image retrieval on compressed images: Can we tell the difference? IPTA 2014: 235-240 - 2013
- [c9]Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Tim Wylie, Michael A. Schuh:
Spatiotemporal Co-occurrence Rules. ADBIS (2) 2013: 27-35 - [c8]Juan M. Banda, Michael A. Schuh, Tim Wylie, Patrick McInerney, Rafal A. Angryk:
When Too Similar Is Bad: A Practical Example of the Solar Dynamics Observatory Content-Based Image-Retrieval System. ADBIS (2) 2013: 87-95 - [c7]Juan M. Banda, Michael A. Schuh, Rafal A. Angryk, Karthik Ganesan Pillai, Patrick McInerney:
Big Data New Frontiers: Mining, Search and Management of Massive Repositories of Solar Image Data and Solar Events. ADBIS (2) 2013: 151-158 - [c6]Michael A. Schuh, Tim Wylie, Rafal A. Angryk:
Improving the Performance of High-Dimensional kNN Retrieval through Localized Dataspace Segmentation and Hybrid Indexing. ADBIS 2013: 344-357 - [c5]Michael A. Schuh, Tim Wylie, Juan M. Banda, Rafal A. Angryk:
A Comprehensive Study of iDistance Partitioning Strategies for kNN Queries and High-Dimensional Data Indexing. BNCOD 2013: 238-252 - [c4]Tim Wylie, Michael A. Schuh, John W. Sheppard, Rafal A. Angryk:
Cluster Analysis for Optimal Indexing. FLAIRS 2013 - [c3]Michael A. Schuh, Rafal A. Angryk, Karthik Ganesan Pillai, Juan M. Banda, Petrus C. Martens:
A large-scale solar image dataset with labeled event regions. ICIP 2013: 4349-4353 - 2012
- [c2]Michael A. Schuh, Rafal A. Angryk, John W. Sheppard:
Evolving Kernel Functions with Particle Swarms and Genetic Programming. FLAIRS 2012 - [c1]Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Michael A. Schuh, Tim Wylie:
Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions. ICDM Workshops 2012: 805-812
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