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eNauka >  Results >  Feature-driven anomaly flagging in obscured active galactic nucleus light curves with autoencoders
Title: Feature-driven anomaly flagging in obscured active galactic nucleus light curves with autoencoders
Authors: De, Bonis Natale; De, Cicco Demetra; Cavuoti, Stefano; Maruccia, Ylenia; Ilić, Dragana  ; Kovačević, Anđelka  ; Riccio, Giuseppe; Vaccaro, Simone
Issue Date: 2026
Publication: Astronomy and Astrophysics
ISSN: 0004-6361 Astronomy and Astrophysics Search Idenfier
Publisher: EDP Sciences
Type: Article
Collation: vol. 712 str. Article no. A69
DOI: 10.1051/0004-6361/202659887
WoS-ID: 001839672600001
Scopus-ID: 2-s2.0-105046958649
URI: https://enauka.gov.rs/handle/123456789/1049980
Project: Italian Research Center on High Performance Computing Big Data and Quantum Computing (ICSC) - European Union
PON RI 2021 [CUP E65F21002880003]
Fondi di Ricerca di Ateneo (FRA), linea C, progetto TORNADO [INAF 2023, 451-03-33/2026-03/200104]
Ministry of Science, Technological Development and Innovation of the Republic of Serbia
EU [101168906]
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
21aM21a

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