196 citations · 239 across the 4 of their papers we have counts for
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astro-ph.IM2018★ 196 cited
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.IM2017★ 43 cited
Detecting outliers and learning complex structures with large spectroscopic surveys - a case study with APOGEE stars
Itamar Reis, Dovi Poznanski, Dalya Baron +2
In this work we apply and expand on a recently introduced outlier detection algorithm that is based on an unsupervised random forest. We use the algorithm to calculate a similarity…