150 citations · 457 across the 69 of their papers we have counts for
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An Active Instance-based Machine Learning method for Stellar Population Studies
Thamar Solorio, Olac Fuentes, Roberto Terlevich +1
We have developed a method for fast and accurate stellar population parameters determination in order to apply it to high resolution galaxy spectra. The method is based on an optim…
Computer science approach to the stellar fabric of violent starforming regions in AGN
E. Terlevich, R. Terlevich, J. P. Torres Papaqui +4
In order to analyse the large numbers of Seyfert galaxy spectra available at present, we are testing new techniques to derive their physical parameters fastly and accurately. We pr…
Automated Determination of Stellar Population Parameters in Galaxies Using Active Instance-based Learning
Thamar Solorio, Olac Fuentes, Roberto Terlevich +2
In this work we focus on the determination of the relative distributions of young, intermediate-age and old populations of stars in galaxies. Starting from a grid of theoretical po…