most citedComparison of Multi-Class and Binary Classification Machine Learning Models in Identifying Strong Gravitational Lenses

15 citations · 15 across the 2 of their papers we have counts for

collaborators

2 papers

astro-ph.GA2024

Predicting the Scaling Relations between the Dark Matter Halo Mass and Observables from Generalised Profiles I: Kinematic Tracers

Andrew Sullivan, Chris Power, Connor Bottrell

We investigate the relationship between a dark matter halo's mass profile and measures of the velocity dispersion of kinematic tracers within its gravitational potential. By predic…

astro-ph.GA2020★ 15 cited

Comparison of Multi-Class and Binary Classification Machine Learning Models in Identifying Strong Gravitational Lenses

Hossen Teimoorinia, Robert D. Toyonaga, Sebastien Fabbro +1

Typically, binary classification lens-finding schemes are used to discriminate between lens candidates and non-lenses. However, these models often suffer from substantial false-pos…