51 citations · 115 across the 5 of their papers we have counts for
5 papers
The VVV survey: Long-period variable stars I. Photometric catalog of ten VVV/OGLE tiles
F. Nikzat, C. E. Ferreira Lopes, M. Catelan +7
Long-period variable stars (LPVs) are pulsating red giants, primarily in the asymptotic giant branch phase, and they include both Miras and semi-regular variables (SRVs). Their per…
StelNet: Hierarchical Neural Network for Automatic Inference in Stellar Characterization
Cecilia Garraffo, Pavlos Protopapas, Jeremy J. Drake +2
Characterizing the fundamental parameters of stars from observations is crucial for studying the stars themselves, their planets, and the galaxy as a whole. Stellar evolution theor…
Scalable End-to-end Recurrent Neural Network for Variable star classification
Ignacio Becker, Karim Pichara, Márcio Catelan +3
During the last decade, considerable effort has been made to perform automatic classification of variable stars using machine learning techniques. Traditionally, light curves are r…
Deep multi-survey classification of variable stars
Carlos Aguirre, Karim Pichara, Ignacio Becker
During the last decade, a considerable amount of effort has been made to classify variable stars using different machine learning techniques. Typically, light curves are represente…
New variable Stars from the Photographic Archive: Semi-automated Discoveries, Attempts of Automatic Classification, and the New Field 104 Her
S. V. Antipin, I. Becker, A. A. Belinski +6
Using 172 plates taken with the 40-cm astrograph of the Sternberg Astronomical Institute (Lomonosov Moscow University) in 1976-1994 and digitized with the resolution of 2400 dpi, w…