The Citing articles tool gives a list of articles citing the current article. The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Yesol Kim, Bon-Chul Koo, Tae-Soo Pyo, Dirk Froebrich, Woong-Seob Jeong, Jae-Joon Lee, Yong-Hyun Lee, Ho-Gyu Lee, Hyun-Jeong Kim and Watson P Varricatt Monthly Notices of the Royal Astronomical Society 528(3) 4657 (2024) https://doi.org/10.1093/mnras/stae295
Astronomaly at scale: searching for anomalies amongst 4 million galaxies
V Etsebeth, M Lochner, M Walmsley and M Grespan Monthly Notices of the Royal Astronomical Society 529(1) 732 (2024) https://doi.org/10.1093/mnras/stae496
Anomaly Detection and Approximate Similarity Searches of Transients in Real-time Data Streams
P. D. Aleo, A. W. Engel, G. Narayan, C. R. Angus, K. Malanchev, K. Auchettl, V. F. Baldassare, A. Berres, T. J. L. de Boer, B. M. Boyd, K. C. Chambers, K. W. Davis, N. Esquivel, D. Farias, R. J. Foley, A. Gagliano, C. Gall, H. Gao, S. Gomez, M. Grayling, D. O. Jones, C.-C. Lin, E. A. Magnier, K. S. Mandel, T. Matheson, et al. The Astrophysical Journal 974(2) 172 (2024) https://doi.org/10.3847/1538-4357/ad6869
Real-time detection of anomalies in large-scale transient surveys
Daniel Muthukrishna, Kaisey S Mandel, Michelle Lochner, Sara Webb and Gautham Narayan Monthly Notices of the Royal Astronomical Society 517(1) 393 (2022) https://doi.org/10.1093/mnras/stac2582
The Classification of Blazar Candidates of Uncertain Types
Data mining techniques on astronomical spectra data – II. Classification analysis
Haifeng Yang, Lichan Zhou, Jianghui Cai, et al. Monthly Notices of the Royal Astronomical Society 518(4) 5904 (2022) https://doi.org/10.1093/mnras/stac3292
Pattern Recognition Using SVM for the Classification of the Size and Distance of Trans-Neptunian Objects Detected by Serendipitous Stellar Occultations
B. Hernández-Valencia, J. H. Castro-Chacón, M. Reyes-Ruiz, et al. Publications of the Astronomical Society of the Pacific 134(1038) 084501 (2022) https://doi.org/10.1088/1538-3873/ac7f5c
Where’s Swimmy?: Mining unique color features buried in galaxies by deep anomaly detection using Subaru Hyper Suprime-Cam data
Takumi S Tanaka, Rhythm Shimakawa, Kazuhiro Shimasaku, Yoshiki Toba, Nobunari Kashikawa, Masayuki Tanaka and Akio K Inoue Publications of the Astronomical Society of Japan 74(1) 1 (2022) https://doi.org/10.1093/pasj/psab105
One of Everything: The Breakthrough Listen Exotica Catalog
Brian C. Lacki, Bryan Brzycki, Steve Croft, Daniel Czech, David DeBoer, Julia DeMarines, Vishal Gajjar, Howard Isaacson, Matt Lebofsky, David H. E. MacMahon, Danny C. Price, Sofia Z. Sheikh, Andrew P. V. Siemion, Jamie Drew and S. Pete Worden The Astrophysical Journal Supplement Series 257(2) 42 (2021) https://doi.org/10.3847/1538-4365/ac168a
Anomaly detection in Hyper Suprime-Cam galaxy images with generative adversarial networks
Kate Storey-Fisher, Marc Huertas-Company, Nesar Ramachandra, et al. Monthly Notices of the Royal Astronomical Society 508(2) 2946 (2021) https://doi.org/10.1093/mnras/stab2589
Astronomaly: Personalised active anomaly detection in astronomical data
Anomaly detection in the Zwicky Transient Facility DR3
K L Malanchev, M V Pruzhinskaya, V S Korolev, et al. Monthly Notices of the Royal Astronomical Society 502(4) 5147 (2021) https://doi.org/10.1093/mnras/stab316
Rare Object Search From Low-S/N Stellar Spectra in SDSS
Deep transfer learning for star cluster classification: I. application to the PHANGS–HST survey
Wei Wei, E A Huerta, Bradley C Whitmore, et al. Monthly Notices of the Royal Astronomical Society 493(3) 3178 (2020) https://doi.org/10.1093/mnras/staa325
Catalogue of new Herbig Ae/Be and classical Be stars
Detecting outliers in astronomical images with deep generative networks
Berta Margalef-Bentabol, Marc Huertas-Company, Tom Charnock, et al. Monthly Notices of the Royal Astronomical Society 496(2) 2346 (2020) https://doi.org/10.1093/mnras/staa1647
Identification of Young Stellar Object candidates in the Gaia DR2 x AllWISE catalogue with machine learning methods
G Marton, P Ábrahám, E Szegedi-Elek, et al. Monthly Notices of the Royal Astronomical Society 487(2) 2522 (2019) https://doi.org/10.1093/mnras/stz1301
Automatic classification of sources in large astronomical catalogs
Agnieszka Pollo, Aleksandra Solarz, Małgorzata Siudek, et al. Proceedings of the International Astronomical Union 15(S341) 109 (2019) https://doi.org/10.1017/S1743921319002576
Active galactic nucleus selection in the AKARI NEP-Deep field with the fuzzy support vector machine algorithm
Artem Poliszczuk, Aleksandra Solarz, Agnieszka Pollo, Maciej Bilicki, Tsutomu T Takeuchi, Hideo Matsuhara, Tomotsugu Goto, Toshinobu Takagi, Takehiko Wada, Yoichi Ohyama, Hitoshi Hanami, Takamitsu Miyaji, Nagisa Oi, Matthew Malkan, Kazumi Murata, Helen Kim and Jorge Díaz Tello Publications of the Astronomical Society of Japan 71(3) (2019) https://doi.org/10.1093/pasj/psz043
Machine Learning Applied to Star–Galaxy–QSO Classification and Stellar Effective Temperature Regression
The High Cadence Transit Survey (HiTS): Compilation and Characterization of Light-curve Catalogs
Jorge Martínez-Palomera, Francisco Förster, Pavlos Protopapas, Juan Carlos Maureira, Paulina Lira, Guillermo Cabrera-Vives, Pablo Huijse, Lluis Galbany, Thomas de Jaeger, Santiago González-Gaitán, Gustavo Medina, Giuliano Pignata, Jaime San Martín, Mario Hamuy and Ricardo R. Muñoz The Astronomical Journal 156(5) 186 (2018) https://doi.org/10.3847/1538-3881/aadfd8