Evolving Kernel Functions with Particle Swarms and Genetic Programming. - Michael A. Schuh; Rafal A. Angryk; John W. Sheppard (FLAIRS, 2012)

Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions. - Karthik Ganesan Pillai; Rafal A. Angryk; Juan M. Banda; Michael A. Schuh; Tim Wylie (ICDM Workshops, 2012)

Big Data New Frontiers: Mining, Search and Management of Massive Repositories of Solar Image Data and Solar Events. - Juan M. Banda; Michael A. Schuh; Rafal A. Angryk; Karthik Ganesan Pillai; Patrick McInerney (ADBIS (2), 2013)

When Too Similar Is Bad: A Practical Example of the Solar Dynamics Observatory Content-Based Image-Retrieval System. - Juan M. Banda; Michael A. Schuh; Tim Wylie; Patrick McInerney; Rafal A. Angryk (ADBIS (2), 2013)

Spatiotemporal Co-occurrence Rules. - Karthik Ganesan Pillai; Rafal A. Angryk; Juan M. Banda; Tim Wylie; Michael A. Schuh (ADBIS (2), 2013)

Improving the Performance of High-Dimensional kNN Retrieval through Localized Dataspace Segmentation and Hybrid Indexing. - Michael A. Schuh; Tim Wylie; Rafal A. Angryk (ADBIS, 2013)

A Comprehensive Study of iDistance Partitioning Strategies for kNN Queries and High-Dimensional Data Indexing. - Michael A. Schuh; Tim Wylie; Juan M. Banda; Rafal A. Angryk (BNCOD, 2013)

Cluster Analysis for Optimal Indexing. - Tim Wylie; Michael A. Schuh; John W. Sheppard; Rafal A. Angryk (FLAIRS, 2013)

A large-scale solar image dataset with labeled event regions. - Michael A. Schuh; Rafal A. Angryk; Karthik Ganesan Pillai; Juan M. Banda; Petrus C. Martens (ICIP, 2013)

Massive labeled solar image data benchmarks for automated feature recognition. - Michael A. Schuh; Rafal A. Angryk (IEEE BigData, 2014)

Approximating High-Dimensional Range Queries with kNN Indexing Techniques. - Michael A. Schuh; Tim Wylie; Chang Liu 080; Rafal A. Angryk (COCOON, 2014)

Mitigating the Curse of Dimensionality for Exact kNN Retrieval. - Michael A. Schuh; Tim Wylie; Rafal A. Angryk (FLAIRS, 2014)

Image retrieval on compressed images: Can we tell the difference? - Juan M. Banda; Rafal A. Angryk; Michael A. Schuh; Petrus C. Martens (IPTA, 2014)

Solar image parameter data from the SDO: Long-term curation and data mining. - Michael A. Schuh; Rafal A. Angryk; Petrus C. Martens (Astron. Comput., 2015)

On visualization techniques for solar data mining. - Michael A. Schuh; Juan M. Banda; Tim Wylie; Patrick McInerney; Karthik Ganesan Pillai; Rafal A. Angryk (Astron. Comput., 2015)

Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories. - Ahmet Küçük; Shah Muhammad Hamdi; Berkay Aydin; Michael A. Schuh; Rafal A. Angryk (BDCloud-SocialCom-SustainCom, 2016)

Describing solar images with sparse coding for similarity search. - Dustin J. Kempton; Michael A. Schuh; Rafal A. Angryk (IEEE BigData, 2016)

On the theory and practice of high-dimensional data indexing with iDistance. - Michael A. Schuh; Rafal A. Angryk (IEEE BigData, 2016)

Towards Feature Selection for Appearance Models in Solar Event Tracking. - Dustin J. Kempton; Michael A. Schuh; Rafal A. Angryk (ICAISC (2), 2016)

Enabling high-dimensional range queries using kNN indexing techniques: approaches and empirical results. - Tim Wylie; Michael A. Schuh; Rafal A. Angryk (J. Comb. Optim., 2016)

Improving the functionality of tamura directionality on solar images. - Azim Ahmadzadeh; Dustin J. Kempton; Michael A. Schuh; Rafal A. Angryk (IEEE BigData, 2017)

A Region-Based Retrieval System for Heliophysics Imagery. - Michael A. Schuh; Dustin Kempton; Rafal A. Angryk (FLAIRS, 2017)

Cultivating Evolving Region Trajectory Datasets. - Sajitha Naduvil-Vadukootu; Berkay Aydin; Michael A. Schuh; Rafal A. Angryk (ICDM Workshops, 2017)