137 citations · 468 across the 9 of their papers we have counts for
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astro-ph.IM2019★ 137 cited
Machine Learning in Astronomy: a practical overview
Dalya Baron
Astronomy is experiencing a rapid growth in data size and complexity. This change fosters the development of data-driven science as a useful companion to the common model-driven da…
astro-ph.IM2018
Probabilistic Random Forest: A machine learning algorithm for noisy datasets
Itamar Reis, Dalya Baron, Sahar Shahaf
Machine learning (ML) algorithms become increasingly important in the analysis of astronomical data. However, since most ML algorithms are not designed to take data uncertainties i…
astro-ph.IM2018
On the limitations of statistical absorption studies with the Sloan Digital Sky Surveys I--III
Ting-Wen Lan, Brice Ménard, Dalya Baron +4
We investigate the limitations of statistical absorption measurements with the SDSS optical spectroscopic surveys. We show that changes in the data reduction strategy throughout di…