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Cited article:

On the application of machine learning in astronomy and astrophysics: A text‐mining‐based scientometric analysis

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WIREs Data Mining and Knowledge Discovery 12 (5) (2022)
https://doi.org/10.1002/widm.1476

Bayesian decomposition of the Galactic multi-frequency sky using probabilistic autoencoders

Sara Milosevic, Philipp Frank, Reimar H. Leike, Ancla Müller and Torsten A. Enßlin
Astronomy & Astrophysics 650 A100 (2021)
https://doi.org/10.1051/0004-6361/202039435

Machine-learning Application to Fermi-LAT Data: Sharpening All-sky Map and Emphasizing Variable Sources

Shogo Sato, Jun Kataoka, Soichiro Ito, Jun’ichi Kotoku, Masato Taki, Asuka Oyama, Takaya Toyoda, Yuki Nakamura and Marino Yamamoto
The Astrophysical Journal 913 (2) 83 (2021)
https://doi.org/10.3847/1538-4357/abf48f

Surveying the reach and maturity of machine learning and artificial intelligence in astronomy

Christopher J. Fluke and Colin Jacobs
WIREs Data Mining and Knowledge Discovery 10 (2) (2020)
https://doi.org/10.1002/widm.1349