Classification of blazar candidates of uncertain type from the Fermi LAT 8-yr source catalogue with an artificial neural network

Optimizing neural network techniques in classifying Fermi-LAT gamma-ray sources

(2019) M Kovačević et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

3FGLzoo: classifying 3FGL unassociated Fermi-LAT γ-ray sources by artificial neural networks

(2017) D. Salvetti et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Research and characterisation of blazar candidates among the Fermi/LAT 3FGL catalogue using multivariate classifications

(2017) Julien Lefaucheur et al.   ASTRONOMY & ASTROPHYSICS

Blazar flaring patterns (B-FlaP) classifying blazar candidate of uncertain type in the thirdFermi-LAT catalogue by artificial neural networks

(2016) G. Chiaro et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Optical spectroscopic observations ofγ-ray blazar candidates

(2015) F. Massaro et al.   ASTRONOMY & ASTROPHYSICS

Optical spectroscopic observations ofγ-ray blazar candidates

(2015) F. Massaro et al.   ASTRONOMY & ASTROPHYSICS

SEARCH FOR GAMMA-RAY-EMITTING ACTIVE GALACTIC NUCLEI IN THEFERMI-LAT UNASSOCIATED SAMPLE USING MACHINE LEARNING

(2014) M. Doert et al.   ASTROPHYSICAL JOURNAL

A STATISTICAL APPROACH TO RECOGNIZING SOURCE CLASSES FOR UNASSOCIATED SOURCES IN THE FIRSTFERMI-LAT CATALOG

(2012) M. Ackermann et al.   ASTROPHYSICAL JOURNAL

Gamma-ray active galactic nucleus type through machine-learning algorithms

(2012) T. Hassan et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Application of the Gaussian mixture model in pulsar astronomy - pulsar classification and candidates ranking for the Fermi 2FGL catalogue

(2012) K. J. Lee et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

THE SPECTRAL ENERGY DISTRIBUTION OFFERMIBRIGHT BLAZARS

(2010) A. A. Abdo et al.   ASTROPHYSICAL JOURNAL

FERMILARGE AREA TELESCOPE FIRST SOURCE CATALOG

(2010) A. A. Abdo et al.   ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES