149 citations · 175 across the 3 of their papers we have counts for
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astro-ph.IM2016★ 20 cited
On the estimation of stellar parameters with uncertainty prediction from Generative Artificial Neural Networks: application to Gaia RVS simulated spectra
C. Dafonte, D. Fustes, M. Manteiga +4
Aims. We present an innovative artificial neural network (ANN) architecture, called Generative ANN (GANN), that computes the forward model, that is it learns the function that rela…
astro-ph.IM2013★ 6 cited
An approach to the analysis of SDSS spectroscopic outliers based on Self-Organizing Maps
D. Fustes, M. Manteiga, C. Dafonte +5
Aims. A new method is applied to the segmentation, and further analysis of the outliers resulting from the classification of astronomical objects in large databases is discussed. T…
astro-ph.IM2013★ 149 cited
The Gaia astrophysical parameters inference system (Apsis). Pre-launch description
C. A. L. Bailer-Jones, R. Andrae, B. Arcay +46
The Gaia satellite will survey the entire celestial sphere down to 20th magnitude, obtaining astrometry, photometry, and low resolution spectrophotometry on one billion astronomica…