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Cited article:

Fermi LAT AGN classification using supervised machine learning

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Monthly Notices of the Royal Astronomical Society 525 (2) 1731 (2023)
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Detecting intermediate-mass black holes in midiquasars with current and future surveys

I Liodakis
Monthly Notices of the Royal Astronomical Society 512 (1) 291 (2022)
https://doi.org/10.1093/mnras/stac181

An Optical Overview of Blazars with LAMOST. I. Hunting Changing-look Blazars and New Redshift Estimates

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The Astronomical Journal 161 (4) 196 (2021)
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An Optical Overview of Blazars with LAMOST. II. Gamma-Ray Blazar Candidates and Updated Classifications

Harold A. Peña-Herazo, Francesco Massaro, Minfeng Gu, Alessandro Paggi, Marco Landoni, Raffaele D’Abrusco, Federica Ricci, Nicola Masetti and Vahram Chavushyan
The Astronomical Journal 162 (2) 76 (2021)
https://doi.org/10.3847/1538-3881/ac09e2

Optical spectroscopic observations of low-energy counterparts of Fermi-LAT γ-ray sources

H. A. Peña-Herazo, R. A. Amaya-Almazán, F. Massaro, et al.
Astronomy & Astrophysics 643 A103 (2020)
https://doi.org/10.1051/0004-6361/202037978

High-energy gamma-ray sources in the VVV survey – I. The blazars

Ana Pichel, Laura G Donoso, Laura D Baravalle, et al.
Monthly Notices of the Royal Astronomical Society 491 (3) 3448 (2020)
https://doi.org/10.1093/mnras/stz3239

Probing the unidentified Fermi blazar-like population using optical polarization and machine learning

D Blinov and I Liodakis
Monthly Notices of the Royal Astronomical Society 486 (3) 3415 (2019)
https://doi.org/10.1093/mnras/stz1008