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Z. A. Werginz
Z. A. Werginz
Georgia State University
Astronomy
Artificial intelligence
Machine learning
Solar cycle
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4
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両世界の最良のもの:自動検出と制限されたヒト管理は4太陽周期にわたる均一磁気カタログを作成するための利用【Powered by NICT】
2016
A. Munoz-Jaramillo
Z. A. Werginz
J. P. Vargas-Acosta
M. D. DeLuca
John C. Windmueller
Jie Zhang
D. W. Longcope
D. A. Lamb
C. E. DeForest
S. Vargas-Dominguez
J. W. Harvey
Petrus C. H. Martens
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The best of both worlds: Using automatic detection and limited human supervision to create a homogenous magnetic catalog spanning four solar cycles
2016
Big Data | International Conference on Big Data
A. Munoz-Jaramillo
Z. A. Werginz
J. P. Vargas-Acosta
M. D. DeLuca
John C. Windmueller
Jie Zhang
D. W. Longcope
D. A. Lamb
C. E. DeForest
S. Vargas-Dominguez
J. W. Harvey
Petrus C. H. Martens
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Development of a Homogenous Database of Bipolar Active Regions Spanning Four Cycles
2016
A. Munoz-Jaramillo
Z. A. Werginz
J. P. Vargas-Acosta
M. D. DeLuca
S. Vargas-Dominguez
D.A. Lamb
Craig DeForest
Dana Longcope
Petrus C. Martens
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Developing a Solar Magnetic Catalog Spanning Four Cycles
2016
Z. A. Werginz
Andres Munoz-Jaramillo
Michael D. DeLuca
Juan Pablo Vargas-Acosta
Santiago Vargas Domínguez
Jie Zhang
Dana Longcope
Petrus C. Martens
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