Interpreting automatic AGN classifiers with saliency maps
A&A, 652 (2021) A19
Published online: 2021-08-03
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:
This article has been cited by the following article(s):
Deep Learning-based Detection and Segmentation of Edge-on and Highly Inclined Galaxies
Ž. Chrobáková, V. Krešňáková, R. Nagy, J. Gazdová and P. ButkaPublications of the Astronomical Society of the Pacific 137 (3) 034101 (2025)
https://doi.org/10.1088/1538-3873/adbcd6
Redshift‐Agnostic Machine Learning Classification: Unveiling Peak Performance in Galaxy, Star, and Quasar Classification (Using SDSS DR17)
Debashis Chatterjee and Prithwish GhoshAstronomische Nachrichten 346 (5) (2025)
https://doi.org/10.1002/asna.20240057
Psi-GAN: a power-spectrum-informed generative adversarial network for the emulation of large-scale structure maps across cosmologies and redshifts
Prabh Bhambra, Benjamin Joachimi, Ofer Lahav and Davide PirasMonthly Notices of the Royal Astronomical Society 536 (3) 3138 (2024)
https://doi.org/10.1093/mnras/stae2810
Katachi (形): Decoding the Imprints of Past Star Formation on Present-day Morphology in Galaxies with Interpretable CNNs*
Juan Pablo Alfonzo, Kartheik G. Iyer, Masayuki Akiyama, Greg L. Bryan, Suchetha Cooray, Eric Ludwig, Lamiya Mowla, Kiyoaki C. Omori, Camilla Pacifici, Joshua S. 佳士 Speagle 沈 and John F. WuThe Astrophysical Journal 967 (2) 152 (2024)
https://doi.org/10.3847/1538-4357/ad3b95
Optical Properties of Two Complementary Samples of Intermediate Seyfert Galaxies
Benedetta Dalla Barba, Marco Berton, Luigi Foschini, Giovanni La Mura, Amelia Vietri and Stefano CiroiPhysics 5 (4) 1061 (2023)
https://doi.org/10.3390/physics5040069
Galaxy spectral classification and feature analysis based on convolutional neural network
Ying Wu, Yihan Tao, Dongwei Fan, Chenzhou Cui and Yanxia ZhangMonthly Notices of the Royal Astronomical Society 527 (1) 1163 (2023)
https://doi.org/10.1093/mnras/stad2913
Sparse Logistic Regression for RR Lyrae versus Binaries Classification
Piero Trevisan, Mario Pasquato, Gaia Carenini, Nicolas Mekhaël, Vittorio F. Braga, Giuseppe Bono and Mohamad AbbasThe Astrophysical Journal 950 (2) 103 (2023)
https://doi.org/10.3847/1538-4357/accf8f
Explaining deep learning of galaxy morphology with saliency mapping
Prabh Bhambra, Benjamin Joachimi and Ofer LahavMonthly Notices of the Royal Astronomical Society 511 (4) 5032 (2022)
https://doi.org/10.1093/mnras/stac368
Sparse Identification of Variable Star Dynamics
Mario Pasquato, Mohamad Abbas, Alessandro A. Trani, Matteo Nori, James A. Kwiecinski, Piero Trevisan, Vittorio F. Braga, Giuseppe Bono and Andrea V. MacciòThe Astrophysical Journal 930 (2) 161 (2022)
https://doi.org/10.3847/1538-4357/ac5624
Unravelling the origin of extended radio emission in narrow-line Seyfert 1 galaxies with the JVLA
E. Järvelä, R. Dahale, L. Crepaldi, et al.Astronomy & Astrophysics 658 A12 (2022)
https://doi.org/10.1051/0004-6361/202141698
The main sequence of quasars: The taming of the extremes
Paola Marziani, Edi Bon, Natasa Bon, Mauro D'Onofrio, Brian Punsly, Marzena Śniegowska, Bożena Czerny, Swayamtrupta Panda, Mary Loli Martnez Aldama, Ascensión del Olmo, Alice Deconto‐Machado, C. Alenka Negrete, Deborah Dultzin, Tania Buendia and Karla GarnicaAstronomische Nachrichten 343 (1-2) (2022)
https://doi.org/10.1002/asna.20210082
Fast Identification of Soybean Seed Varieties Using Laser-Induced Breakdown Spectroscopy Combined With Convolutional Neural Network
Xiaolong Li, Zhenni He, Fei Liu and Rongqin ChenFrontiers in Plant Science 12 (2021)
https://doi.org/10.3389/fpls.2021.714557