Get started
Author

Vladislav Khramtsov

Observed names: Khramtsov, V., Khramtsov, V. P., Khramtsov, Vlad P., V P Khramtsov, V. KHRAMTSOV, V. Khramtsov, V. P. KHRAMTSOV, V. P. Khramtsov, V., Khramtsov, V.P. KHRAMTSOV, Vlad Khramtsov, Vladyslav Khramtsov
ORCID: 0000-0003-1744-7071
Observed ORCID: 0000-0003-1744-7071
OpenAlex ID: A5003725176
Deep Learning for Regular Change Detection in Ukrainian Forest Ecosystem With Sentinel-2
2020 · Kostiantyn Isaienkov, Mykhailo Yushchuk, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 78
KiDS-SQuaD
2019 · Vladislav Khramtsov, Alexey Sergeyev, et al. · Astronomy and Astrophysics · 46
Astrometric Reduction of the Wide-Field Images
2019 · Volodymyr Akhmetov, Sergii Khlamov, et al. · Advances in intelligent systems and computing · 31
Selection of the Reference Stars for Astrometric Reduction of CCD-Frames
2019 · Vadym Savanevych, Volodymyr Akhmetov, et al. · Advances in intelligent systems and computing · 17
Machine learning technique for morphological classification of galaxies from the SDSS
2021 · I. B. Vavilova, D. V. Dobrycheva, et al. · Springer Link (Chiba Institute of Technology) · 15
Deep Learning for Morphological Classification of Galaxies From Sdss
2019 · V. Khramtsov, D. V. Dobrycheva, et al. · Odessa Astronomical Publications · 13
PDF
VEXAS: VISTA EXtension to Auxiliary Surveys
2021 · V. Khramtsov, C. Spiniello, et al. · Astronomy and Astrophysics · 9
PDF
The Northern Extragalactic WISE × Pan-STARRS (NEWS) catalogue
2020 · Vladislav Khramtsov, Volodymyr Akhmetov, et al. · Astronomy and Astrophysics · 9
PDF
Machine learning technique for morphological classification of galaxies from the SDSS. III. The CNN image-based inference of detailed features
2022 · V. KHRAMTSOV, I. B. VAVILOVA, et al. · Kosmìčna nauka ì tehnologìâ · 8
PDF
Machine learning technique for morphological classification of galaxies from SDSS. II. The image-based morphological catalogs of galaxies at 0.02<z<0.1
2022 · Main Astronomical Observatory of the NAS of Ukraine, I. B. VAVILOVA, et al. · Kosmìčna nauka ì tehnologìâ · 8
PDF
KiDS0239-3211: A New Gravitational Quadruple Lens Candidate
2018 · A. Sergeyev, C. Spiniello, et al. · Research Notes of the AAS · 6
PDF
An Advanced Approach to the Definition of the “milky Way Galaxies-analogues”
2024 · I. B. VAVILOVA, P. M. FEDOROV, et al. · Kosmìčna nauka ì tehnologìâ · 5
PDF
Machine-Learning Identification of Extragalactic Objects in the Optical-Infrared All-Sky Surveys
2018 · Vladislav Khramtsov, Vladimir Akhmetov · IEEE International Conference on Computer Sciences and Information Technologies (CSIT) · 5
PDF
NGC 3521 as the Milky Way near-twin: UV–radio-decameter spectral energy distribution
2026 · O. V. Kompaniiets, I. B. Vavilova, et al. · Astronomy and Astrophysics · 3
Spatial orientation and shape of the velocity ellipsoids of the Gaia DR3 giants and sub-giants in the Galactic plane
2025 · A M Dmytrenko, P N Fedorov, et al. · Monthly Notices of the Royal Astronomical Society · 3
Deep Convolutional Neural Networks models for the binary morphological classification of SDSS-galaxies
2020 · M. Vasylenko, D. Dobrycheva, et al. · Communications of the Byurakan Astrophysical Observatory · 3
PDF
Machine learning technique for morphological classification of galaxies from the SDSS. III. Image-based inference of detailed features
2022 · Khramtsov, V., Vavilova, I. B., et al. · arXiv (Cornell University) · 2
PDF
The CNN classification of galaxies by their image morphological peculiarities
2020 · D. Dobrycheva, V. Khramtsov, et al. · Proceedings of the International Astronomical Union · 2
PDF
VizieR Online Data Catalog: SDSS galaxies morphological classification (Vavilova+, 2021)
2021 · I. B. Vavilova, D. V. Dobrycheva, et al. · VizieR Online Data Catalog · 1
New algorithm for astrometric reduction of the wide-field images
2019 · Vladimir Akhmetov, Sergii Khlamov, et al. · IEEE International Conference on Computer Sciences and Information Technologies (CSIT) · 1
PDF
New approach to select reference stars for astrometric reduction of CCD-frames
2019 · Vadym Savanevych, Eugene Dikov, et al. · IEEE International Conference on Computer Sciences and Information Technologies (CSIT) · 1
Milky Way Near Twins (MWNeTs). II. Applications of a Hierarchical Framework to NGC 3521, NGC 2903, UGC 11487, and CGCG 047-026
2026 · Vavilova, I. B., Izviekova, I. O., et al. · arXiv (Cornell University)
PDF
E-INSPIRE – II. Finding relics from wide-sky multiband surveys: a proof-of-concept machine learning regression algorithm
2026 · Charles Rosen, Chiara Spiniello, et al. · Monthly Notices of the Royal Astronomical Society
PDF
Local Jeans estimates of the Galaxy’s circular velocity, based on RGB stars from the Gaia catalogue
2026 · P N Fedorov, A M Dmytrenko, et al. · Monthly Notices of the Royal Astronomical Society
Milky Way Near Twins (MWNeTs). I. A Hierarchical Framework for Identifying Candidate Evolutionary Counterparts of the Milky Way
2026 · Vavilova, I. B., Dmytrenko, A. M., et al. · arXiv (Cornell University)
PDF
Works count: 36
Citation count: 269
H-index: 8
I10-index: 6
Year
Topic
Type