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SPFFN: A Fusion-based Deep Learning Framework for Stellar Photometric Feature Recognition
Peng Liu, Hao Fu, Shuai Meng, Cheng Zeng, Yangyang Guo, Xue Mei and Shengqing Yao Research in Astronomy and Astrophysics 25(7) 075013 (2025) https://doi.org/10.1088/1674-4527/adda7d
Dusty Stellar Source Classification by Implementing Machine Learning Methods Based on Spectroscopic Observations in the Magellanic Clouds
Sepideh Ghaziasgar, Mahdi Abdollahi, Atefeh Javadi, Jacco Th. van Loon, Iain McDonald, Joana Oliveira, Amirhossein Masoudnezhad, Habib G. Khosroshahi, Bernard H. Foing and Fatemeh Fazel Hesar The Astrophysical Journal 986(2) 168 (2025) https://doi.org/10.3847/1538-4357/adceeb
Prediction of Star Formation Rates Using an Artificial Neural Network
Ashraf Ayubinia, Jong-Hak Woo, Fatemeh Hafezianzadeh, Taehwan Kim and Changseok Kim The Astrophysical Journal 980(2) 177 (2025) https://doi.org/10.3847/1538-4357/ada366
Breaking the degeneracy in stellar spectral classification from single wide-band images
Ezequiel Centofanti, Samuel Farrens, Jean-Luc Starck, Tobías Liaudat, Alex Szapiro and Jennifer Pollack Astronomy & Astrophysics 694 A228 (2025) https://doi.org/10.1051/0004-6361/202452224
Predicting the Physical Properties of Dark Matter Subhalos from Baryonic Parameters Using Machine Learning
StellarGAN: Classifying Stellar Spectra with Generative Adversarial Networks in SDSS and APOGEE Sky Surveys
Wei Liu, Shuo Cao, Xian-Chuan Yu, Meng Zhu, Marek Biesiada, Jiawen Yao and Minghao Du The Astrophysical Journal Supplement Series 271(2) 53 (2024) https://doi.org/10.3847/1538-4365/ad29ef
Photometric identification of compact galaxies, stars, and quasars using multiple neural networks
Siddharth Chaini, Atharva Bagul, Anish Deshpande, Rishi Gondkar, Kaushal Sharma, M Vivek and Ajit Kembhavi Monthly Notices of the Royal Astronomical Society 518(2) 3123 (2022) https://doi.org/10.1093/mnras/stac3336