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Classification and ranking of Fermi LAT gamma-ray sources from the 3FGL catalog using machine learning techniques
P. M. SAZ PARKINSON
, H. XU
,
Leung Ho Philip YU
, D. SALVETTI
, M. MARELLI
, A. D. FALCONE
Department of Mathematics and Information Technology (MIT)
Research output
:
Contribution to journal
›
Articles
›
peer-review
108
Citations (Scopus)
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Keyphrases
Active Galactic nuclei
40%
Best Model
20%
Copyright
20%
Fermi-LAT
100%
Gamma Ray Emitters
20%
Gamma-ray Pulsars
20%
Gamma-ray Sources
100%
Logistic Regression
20%
Logistic Regression Algorithm
20%
Logistic Regression Analysis
20%
Machine Learning Techniques
100%
Millisecond Pulsars
40%
Overall Accuracy
40%
Population-based Study
20%
Pulsar Wind Nebulae
20%
Pulsars
100%
Random Forest Algorithm
20%
Random Forest Method
20%
Random Forest Regression
20%
Source Catalogues
20%
Statistical Learning Techniques
20%
Supernova Remnants
20%
Swift
20%
X-ray
20%
Physics
Active Galactic Nuclei
28%
Gamma Radiation
28%
Gamma-Ray Sources
100%
Machine Learning
100%
Millisecond Pulsars
28%
Nebula
14%
Pulsar
100%
Supernova Remnant
14%