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20172026
most citedMachine and Deep Learning Applied to Galaxy Morphology -- A Comparative Study

93 citations · 175 across the 6 of their papers we have counts for

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astro-ph.IM2024★ 11 cited

Unveiling Galaxy Morphology through an Unsupervised-Supervised Hybrid Approach

I. Kolesnikov, V. M. Sampaio, R. R. de Carvalho +4

Galaxy morphology offers significant insights into the evolutionary pathways and underlying physics of galaxies. As astronomical data grows with surveys such as Euclid and Vera C.…