45 citations · 79 across the 4 of their papers we have counts for
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astro-ph.IM2020★ 45 cited
On Neural Architectures for Astronomical Time-series Classification with Application to Variable Stars
Sara Jamal, Joshua S. Bloom
Despite the utility of neural networks (NNs) for astronomical time-series classification, the proliferation of learning architectures applied to diverse datasets has thus far hampe…
astro-ph.IM2017★ 6 cited
Automated reliability assessment for spectroscopic redshift measurements
S. Jamal, V. Le Brun, O. Le Fèvre +7
We present a new approach to automate the spectroscopic redshift reliability assessment based on machine learning (ML) and characteristics of the redshift probability density funct…