51 citations · 507 across the 30 of their papers we have counts for
5 papers · 1 filter
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…
Automatic Survey-Invariant Variable Star Classification
Patricio Benavente, Pavlos Protopapas, Karim Pichara
Machine learning techniques have been successfully used to classify variable stars on widely-studied astronomical surveys. These datasets have been available to astronomers long en…
Uncertain classification of Variable Stars: handling observational GAPS and noise
Nicolas Castro, Pavlos Protopapas, Karim Pichara
Automatic classification methods applied to sky surveys have revolutionized the astronomical target selection process. Most surveys generate a vast amount of time series, or \quote…
Unsupervised Classification of Variable Stars
Lucas Valenzuela, Karim Pichara
During the last ten years, a considerable amount of effort has been made to develop algorithms for automatic classification of variable stars. That has been primarily achieved by a…