A Deep-learning Anomaly-detection Method to Identify Gamma-Ray Bursts in the Ratemeters of the AGILE Anticoincidence System

@article{pub14320,
    author = {

Parmiggiani, Nicolò
 and 

Bulgarelli, Andrea
 and 

Ursi, Alessandro
 and 

Macaluso, Antonio
 and 

Piano, Ambra Di
 and 

Fioretti, Valentina
 and 

Aboudan, Alessio
 and 

Baroncelli, Leonardo
 and 

Addis, Antonio
 and 

Tavani, Marco
 and 

Pittori, Carlotta
},
    title = {A Deep-learning Anomaly-detection Method to Identify Gamma-Ray Bursts in the Ratemeters of the AGILE Anticoincidence System},
    year = {2023},
    month = {3},
    volume = {945},
    number = {2},
    pages = {1--12},
    journal = {The Astrophysical Journal (ApJ)},
    publisher = {IOP}
}