Predicting galaxy morphology using attention-enhanced ResNets
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12145-024-01449-6.pdf
Reference33 articles.
1. Long JP, De Souza RS (2017) Statistical methods in astronomy. arXiv:1205.2064
2. Leung HW, Bovy J (2019) Deep learning of multi-element abundances from high-resolution spectroscopic data. Mon Not R Astron Soc. https://doi.org/10.1093/mnras/sty3217
3. Lochner M, Bassett BA (2021) Astronomaly: personalised active anomaly detection in astronomical data. Astronomy Comput. https://doi.org/10.1016/j.ascom.2021.100481
4. Dreissigacker C, Sharma R, Messenger C, Zhao R, Prix R (2019) Deep-learning continuous gravitational waves. Phys Rev D. https://doi.org/10.1103/PhysRevD.100.044009
5. Siddiqui MI, Khan K, Fazil A, Zakwan M (2023) Snapshot ensemble-based residual network (SnapEnsemResNet) for remote sensing image scene classification. GeoInformatica. https://doi.org/10.1007/s10707-023-00492-7
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