Articles citing this article

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).

Cited article:

200,000+ Deep Learning–inferred Periods of Stellar Variability from the All-Sky Automated Survey for Supernovae

Meir E. Schochet, Penelope Planet, Zachary R. Claytor, Jamie Tayar and Adina D. Feinstein
The Astrophysical Journal Supplement Series 282 (1) 10 (2026)
https://doi.org/10.3847/1538-4365/ae1ba7

Visibility graph approach to characterize planetary transit signatures: A case study on OGLE IV data

Ankita B Jain, Moses Kartha and Yash Prajapati
New Astronomy 126 102548 (2026)
https://doi.org/10.1016/j.newast.2026.102548

Heartbeat Stars Recognition Based on Recurrent Neural Networks: Method and Validation

Min-Yu Li, Sheng-Bang Qian, Li-Ying Zhu, Wen-Ping Liao, Lin-Feng Chang, Er-Gang Zhao, Xiang-Dong Shi, Fu-Xing Li, Qi-Bin Sun and Ping Li
The Astronomical Journal 170 (3) 161 (2025)
https://doi.org/10.3847/1538-3881/aded86

Variability in hot sub-luminous stars and binaries: Machine-learning analysis of Gaia DR3 multi-epoch photometry

P. Ranaivomanana, M. Uzundag, C. Johnston, P. J. Groot, T. Kupfer and C. Aerts
Astronomy & Astrophysics 693 A268 (2025)
https://doi.org/10.1051/0004-6361/202452429

Leveraging pre-trained vision Transformers for multi-band photometric light curve classification

D. Moreno-Cartagena, P. Protopapas, G. Cabrera-Vives, M. Cádiz-Leyton, I. Becker and C. Donoso-Oliva
Astronomy & Astrophysics 703 A41 (2025)
https://doi.org/10.1051/0004-6361/202554289

A statistical study of lopsided galaxies using random forests

Valentina Fontirroig, Facundo A. Gómez, Marcelo Jaque Arancibia, Arianna Dolfi and Nicolás Monsalves
Astronomy & Astrophysics 699 A118 (2025)
https://doi.org/10.1051/0004-6361/202453215