272 citations · 816 across the 37 of their papers we have counts for
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astro-ph.GA2017★ 46 cited
Machine learning technique for morphological classification of galaxies from the SDSS. I. Photometry-based approach
I. B. Vavilova, D. V. Dobrycheva, M. Yu. Vasylenko +3
Methods. We used different galaxy classification techniques: human labeling, multi-photometry diagrams, Naive Bayes, Logistic Regression, Support Vector Machine, Random Forest, k-N…
astro-ph.GA2017★ 6 cited
Ultra-Flat Galaxies Selected from RFGC Catalog. III. Star Formation Rate
O. V. Melnyk, V. E. Karachentseva, I. D. Karachentsev
We examine the star formation properties of galaxies with very thin disks selected from the Revised Flat Galaxy Catalog (RFGC). The sample contains 333 ultra-flat galaxies (UFG) at…