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Cited article:

Where’s Swimmy?: Mining unique color features buried in galaxies by deep anomaly detection using Subaru Hyper Suprime-Cam data

Takumi S Tanaka, Rhythm Shimakawa, Kazuhiro Shimasaku, Yoshiki Toba, Nobunari Kashikawa, Masayuki Tanaka and Akio K Inoue
Publications of the Astronomical Society of Japan 74 (1) 1 (2022)
https://doi.org/10.1093/pasj/psab105

Machine learning technique for morphological classification of galaxies from the SDSS

I. B. Vavilova, D. V. Dobrycheva, M. Yu. Vasylenko, et al.
Astronomy & Astrophysics 648 A122 (2021)
https://doi.org/10.1051/0004-6361/202038981

Knowledge Discovery in Big Data from Astronomy and Earth Observation

Irina Vavilova, Daria Dobrycheva, Maksym Vasylenko, Andrii Elyiv and Olga Melnyk
Knowledge Discovery in Big Data from Astronomy and Earth Observation 307 (2020)
https://doi.org/10.1016/B978-0-12-819154-5.00028-X

The weirdest SDSS galaxies: results from an outlier detection algorithm

Dalya Baron and Dovi Poznanski
Monthly Notices of the Royal Astronomical Society 465 (4) 4530 (2017)
https://doi.org/10.1093/mnras/stw3021

Multivariate approaches to classification in extragalactic astronomy

Didier Fraix-Burnet, Marc Thuillard and Asis K. Chattopadhyay
Frontiers in Astronomy and Space Sciences 2 (2015)
https://doi.org/10.3389/fspas.2015.00003