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Michael A. Schuh
Michael A. Schuh
Dept of Computer Science, Montana State University
Geverifieerd e-mailadres voor cs.montana.edu - Homepage
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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
1292020
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
542013
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
512012
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
422017
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
232011
A comparative evaluation of automated solar filament detection
MA Schuh, JM Banda, PN Bernasconi, RA Angryk, PCH Martens
Solar Physics 289, 2503-2524, 2014
222014
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
192018
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
192014
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
172013
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
162015
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
142014
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
142014
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
132016
Mitigating the curse of dimensionality for exact knn retrieval
MA Schuh, T Wylie, RA Angryk
The Twenty-Seventh International Flairs Conference, 2014
132014
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
132014
SWAN-SF
R Angryk, P Martens, B Aydin, D Kempton, S Mahajan, S Basodi, ...
Harvard Dataverse, 2020
122020
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
122013
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
122011
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
112015
Improving the Performance of High-Dimensional kNN Retrieval through Localized Dataspace Segmentation and Hybrid Indexing
MA Schuh, T Wylie, RA Angryk
Advances in Databases and Information Systems: 17th East European Conference …, 2013
112013
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Artikelen 1–20