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:

Cluster population demographics in NGC 628 derived from stochastic population synthesis models

Jianling Tang, Kathryn Grasha and Mark R Krumholz
Monthly Notices of the Royal Astronomical Society 532 (4) 4583 (2024)
https://doi.org/10.1093/mnras/stae1799

Recent evolution of the star cluster population in the Andromeda’s disk

Marius Čeponis, Rima Stonkutė and Vladas Vansevičius
Lithuanian Journal of Physics 64 (2) (2024)
https://doi.org/10.3952/physics.2024.64.2.5

Deriving physical parameters of unresolved star clusters

Karolis Daugevičius, Eimantas Kriščiūnas, Erikas Cicėnas, Rima Stonkutė and Vladas Vansevičius
Astronomy & Astrophysics 688 A131 (2024)
https://doi.org/10.1051/0004-6361/202449680

Deriving physical parameters of unresolved star clusters

Eimantas Kriščiūnas, Karolis Daugevičius, Rima Stonkutė and Vladas Vansevičius
Astronomy & Astrophysics 677 A100 (2023)
https://doi.org/10.1051/0004-6361/202347140

Sparse Logistic Regression for RR Lyrae versus Binaries Classification

Piero Trevisan, Mario Pasquato, Gaia Carenini, Nicolas Mekhaël, Vittorio F. Braga, Giuseppe Bono and Mohamad Abbas
The Astrophysical Journal 950 (2) 103 (2023)
https://doi.org/10.3847/1538-4357/accf8f

RETRACTED: Application of Convolutional Neural Network in Modern Technology Field and Improvement by Time-space Version

Shengyu Hung
Journal of Physics: Conference Series 2386 (1) 012026 (2022)
https://doi.org/10.1088/1742-6596/2386/1/012026

Identification of new M 31 star cluster candidates from PAndAS images using convolutional neural networks

Shoucheng Wang, Bingqiu Chen, Jun Ma, et al.
Astronomy & Astrophysics 658 A51 (2022)
https://doi.org/10.1051/0004-6361/202142169

PHANGS-HST: new methods for star cluster identification in nearby galaxies

David A Thilker, Bradley C Whitmore, Janice C Lee, et al.
Monthly Notices of the Royal Astronomical Society 509 (3) 4094 (2021)
https://doi.org/10.1093/mnras/stab3183

Predicting images for the dynamics of stellar clusters (π-DOC): a deep learning framework to predict mass, distance, and age of globular clusters

Jonathan Chardin and Paolo Bianchini
Monthly Notices of the Royal Astronomical Society 504 (4) 5656 (2021)
https://doi.org/10.1093/mnras/stab737

Star cluster classification in the PHANGS–HST survey: Comparison between human and machine learning approaches

Bradley C Whitmore, Janice C Lee, Rupali Chandar, et al.
Monthly Notices of the Royal Astronomical Society 506 (4) 5294 (2021)
https://doi.org/10.1093/mnras/stab2087

Characterizing lognormal fractional-Brownian-motion density fields with a convolutional neural network

O D Lomax, A P Whitworth and M L Bates
Monthly Notices of the Royal Astronomical Society 493 (1) 161 (2020)
https://doi.org/10.1093/mnras/staa122

Study of Star Clusters in the M83 Galaxy with a Convolutional Neural Network

Jonas Bialopetravičius and Donatas Narbutis
The Astronomical Journal 160 (6) 264 (2020)
https://doi.org/10.3847/1538-3881/abbf53