Michael A. Schuh

Publication Activity (10 Years)

Years Active: 2012-2017
Publications (10 Years): 8

Top Topics

Top Venues

FLAIRS Conference

Astron. Comput.

Publications

Sajitha Naduvil-Vadukootu, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk
Cultivating Evolving Region Trajectory Datasets. ICDM Workshops (2017)
Azim Ahmadzadeh, Dustin J. Kempton, Michael A. Schuh, Rafal A. Angryk
Improving the functionality of tamura directionality on solar images. IEEE BigData (2017)
Michael A. Schuh, Dustin Kempton, Rafal A. Angryk
A Region-Based Retrieval System for Heliophysics Imagery. FLAIRS Conference (2017)
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)
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) (2016)
Michael A. Schuh, Rafal A. Angryk
On the theory and practice of high-dimensional data indexing with iDistance. IEEE BigData (2016)
Dustin J. Kempton, Michael A. Schuh, Rafal A. Angryk
Towards Feature Selection for Appearance Models in Solar Event Tracking. ICAISC (2) (2016)
Dustin J. Kempton, Michael A. Schuh, Rafal A. Angryk
Describing solar images with sparse coding for similarity search. IEEE BigData (2016)
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 (2015)
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 (2015)
Juan M. Banda, Rafal A. Angryk, Michael A. Schuh, Petrus C. Martens
Image retrieval on compressed images: Can we tell the difference? IPTA (2014)
Michael A. Schuh, Tim Wylie, Rafal A. Angryk
Mitigating the Curse of Dimensionality for Exact kNN Retrieval. FLAIRS Conference (2014)
Michael A. Schuh, Tim Wylie, Chang Liu, Rafal A. Angryk
Approximating High-Dimensional Range Queries with kNN Indexing Techniques. COCOON (2014)
Michael A. Schuh, Rafal A. Angryk
Massive labeled solar image data benchmarks for automated feature recognition. IEEE BigData (2014)
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)
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)
Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Tim Wylie, Michael A. Schuh
Spatiotemporal Co-occurrence Rules. ADBIS (2) (2013)
Tim Wylie, Michael A. Schuh, John W. Sheppard, Rafal A. Angryk
Cluster Analysis for Optimal Indexing. FLAIRS Conference (2013)
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)
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)
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)
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)
Michael A. Schuh, Rafal A. Angryk, John W. Sheppard
Evolving Kernel Functions with Particle Swarms and Genetic Programming. FLAIRS Conference (2012)