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20172026
most citedMachine learning technique for morphological classification of galaxies from the SDSS. I. Photometry-based approach

46 citations · 94 across the 11 of their papers we have counts for

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astro-ph.GA2022★ 8 cited

Machine learning technique for morphological classification of galaxies from the SDSS. III. Image-based inference of detailed features

V. Khramtsov, I. B. Vavilova, D. V. Dobrycheva +5

This paper follows series of our works on the applicability of various machine learning methods to the morphological galaxy classification (Vavilova et al., 2021, 2022). We exploit…

astro-ph.GA2022★ 8 cited

Machine learning technique for morphological classification of galaxies from SDSS. II. The image-based morphological catalogs of galaxies at 0.02<z<0.1

I. B. Vavilova, V. Khramtsov, D. V. Dobrycheva +3

We applied the image-based approach with a convolutional neural network model to the sample of low-redshifts galaxies with from the SDSS DR9. We divided i…