most citedEvaluating race and sex diversity in the world's largest companies using deep neural networks

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CY2017★ 4 cited

Evaluating race and sex diversity in the world's largest companies using deep neural networks

Konstantin Chekanov, Polina Mamoshina, Roman V. Yampolskiy +3

Diversity is one of the fundamental properties for the survival of species, populations, and organizations. Recent advances in deep learning allow for the rapid and automatic asses…