| Newly discovered dwarf galaxies in the MATLAS low-density fields R Habas, FR Marleau, PA Duc, PR Durrell, S Paudel, M Poulain, ... Monthly Notices of the Royal Astronomical Society 491 (2), 1901-1919, 2020 | 57 | 2020 |
| Anomaly detection in the zwicky transient facility dr3 KL Malanchev, MV Pruzhinskaya, VS Korolev, PD Aleo, MV Kornilov, ... Monthly Notices of the Royal Astronomical Society 502 (4), 5147-5175, 2021 | 49 | 2021 |
| Active anomaly detection for time-domain discoveries EEO Ishida, MV Kornilov, KL Malanchev, MV Pruzhinskaya, AA Volnova, ... Astronomy & Astrophysics 650, A195, 2021 | 37 | 2021 |
| Galaxy And Mass Assembly: automatic morphological classification of galaxies using statistical learning S Sreejith, S Pereverzyev Jr, LS Kelvin, FR Marleau, M Haltmeier, J Ebner, ... Monthly Notices of the Royal Astronomical Society 474 (4), 5232-5258, 2018 | 29 | 2018 |
| The SNAD Viewer: Everything You Want to Know about Your Favorite ZTF Object K Malanchev, MV Kornilov, MV Pruzhinskaya, EEO Ishida, PD Aleo, ... Publications of the Astronomical Society of the Pacific 135 (1044), 024503, 2023 | 12 | 2023 |
| SNAD transient miner: Finding missed transient events in ZTF DR4 using kD trees PD Aleo, KL Malanchev, MV Pruzhinskaya, EEO Ishida, E Russeil, ... New Astronomy 96, 101846, 2022 | 8 | 2022 |
| Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients N Kennamer, EEO Ishida, S González-Gaitán, RS de Souza, A Ihler, ... 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 3115-3124, 2020 | 6 | 2020 |
| The Most Interesting Anomalies Discovered in ZTF DR3 from the SNAD-III Workshop PD Aleo, EEO Ishida, M Kornilov, V Korolev, K Malanchev, F Mondon, ... Research Notes of the AAS 4 (7), 112, 2020 | 6 | 2020 |
| Active Anomaly Detection for time-domain discoveries. arXiv e-prints, page EEO Ishida, MV Kornilov, KL Malanchev, MV Pruzhinskaya, AA Volnova, ... arXiv preprint arXiv:1909.13260, 2019 | 5 | 2019 |
| Neural network based point spread function deconvolution for astronomical applications H Wang, S Sreejith, Y Lin, N Ramachandra, A Slosar, S Yoo The Open Journal of Astrophysics 6, 2023 | 4 | 2023 |
| Supernova search with active learning in ZTF DR3 MV Pruzhinskaya, EEO Ishida, AK Novinskaya, E Russeil, AA Volnova, ... Astronomy & Astrophysics 672, A111, 2023 | 3 | 2023 |
| Galaxy deblending using residual dense neural networks H Wang, S Sreejith, A Slosar, Y Lin, S Yoo Physical Review D 106 (6), 063023, 2022 | 3 | 2022 |
| RAINBOW: A colorful approach to multipassband light-curve estimation E Russeil, KL Malanchev, PD Aleo, EEO Ishida, MV Pruzhinskaya, ... Astronomy & Astrophysics 683, A251, 2024 | 2 | 2024 |
| Could SNAD160 be a Pair-instability Supernova? M Pruzhinskaya, A Volnova, M Kornilov, K Malanchev, PD Aleo, ... Research Notes of the AAS 6 (6), 122, 2022 | 2 | 2022 |
| The Most Interesting Anomalies Discovered in ZTF DR17 from the SNAD-VI Workshop A Volnova, PD Aleo, E Gangler, EEO Ishida, M Kornilov, V Korolev, ... Research Notes of the AAS 7 (7), 155, 2023 | 1 | 2023 |
| ZWAD: Anomaly detection pipeline KL Malanchev, MV Pruzhinskaya, VS Korolev, PD Aleo, MV Kornilov, ... Astrophysics Source Code Library, ascl: 2106.033, 2021 | 1 | 2021 |
| Realization of different techniques for anomaly detection in astronomical databases K Malanchev, V Korolev, M Kornilov, EEO Ishida, A Malancheva, ... Data Analytics and Management in Data Intensive Domains: 21st International …, 2020 | 1 | 2020 |
| M-dwarf flares in the Zwicky Transient Facility data and what we can learn from them AS Voloshina, AD Lavrukhina, MV Pruzhinskaya, KL Malanchev, ... arXiv preprint arXiv:2404.07812, 2024 | | 2024 |
| Rainbow: Simultaneous multi-band light curve fitting E Russeil, KL Malanchev, PD Aleo, EEO Ishida, MV Pruzhinskaya, ... Astrophysics Source Code Library, ascl: 2312.019, 2023 | | 2023 |
| Point Spread Function Deconvolution Using a Convolutional Autoencoder for Astronomical Applications S Sreejith, A Slosar, H Wang arXiv preprint arXiv:2310.19605, 2023 | | 2023 |
Matwey V. KornilovLomonosov Moscow State UniversityVerified email at sai.msu.ru
