140 citations · 142 across the 6 of their papers we have counts for
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astro-ph.IM2018
Machine Learning on Difference Image Analysis: A comparison of methods for transient detection
B. Sánchez, M. J. Domínguez R., M. Lares +12
We present a comparison of several Difference Image Analysis (DIA) techniques, in combination with Machine Learning (ML) algorithms, applied to the identification of optical transi…
astro-ph.IM2018
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning
J. B. Cabral, B. Sánchez, F. Ramos +3
Machine learning algorithms are highly useful for the classification of time series data in astronomy in this era of peta-scale public survey data releases. These methods can facil…