FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2983113609> ?p ?o ?g. }

• W2983113609 endingPage "134" @default.
• W2983113609 startingPage "134" @default.
• W2983113609 abstract "Abstract The recently published fourth Fermi Large Area Telescope source catalog (4FGL) reports 5065 gamma-ray sources in terms of direct observational gamma-ray properties. Among the sources, the largest population is the active galactic nuclei (AGNs), which consists of 3137 blazars, 42 radio galaxies, and 28 other AGNs. The blazar sample comprises 694 flat-spectrum radio quasars (FSRQs), 1131 BL Lac- type objects (BL Lacs), and 1312 blazar candidates of an unknown type (BCUs). The classification of blazars is difficult using optical spectroscopy given the limited knowledge with respect to their intrinsic properties, and the limited availability of astronomical observations. To overcome these challenges, machine-learning algorithms are being investigated as alternative approaches. Using the 4FGL catalog, a sample of 3137 Fermi blazars with 23 parameters is systematically selected. Three established supervised machine-learning algorithms (random forests (RFs), support vector machines (SVMs), artificial neural networks (ANNs)) are employed to general predictive models to classify the BCUs. We analyze the results for all of the different combinations of parameters. Interestingly, a previously reported trend the use of more parameters leading to higher accuracy is not found. Considering the least number of parameters used, combinations of eight, 12 or 10 parameters in the SVM, ANN, or RF generated models achieve the highest accuracy (Accuracy ≃91.8%, or ≃92.9%). Using the combined classification results from the optimal combinations of parameters, 724 BL Lac type candidates and 332 FSRQ type candidates are predicted; however, 256 remain without a clear prediction." @default.
• W2983113609 created "2019-11-22" @default.
• W2983113609 creator A5013489004 @default.
• W2983113609 creator A5019522737 @default.
• W2983113609 creator A5034505488 @default.
• W2983113609 creator A5038793215 @default.
• W2983113609 creator A5041283221 @default.
• W2983113609 creator A5063730642 @default.
• W2983113609 creator A5087457246 @default.
• W2983113609 date "2019-12-16" @default.
• W2983113609 modified "2023-10-10" @default.
• W2983113609 title "Evaluating the Classification of Fermi BCUs from the 4FGL Catalog Using Machine Learning" @default.
• W2983113609 cites W1667450572 @default.
• W2983113609 cites W1948879015 @default.
• W2983113609 cites W1977302341 @default.
• W2983113609 cites W1977864876 @default.
• W2983113609 cites W1979115990 @default.
• W2983113609 cites W1983791096 @default.
• W2983113609 cites W1992565029 @default.
• W2983113609 cites W2001528620 @default.
• W2983113609 cites W2001603309 @default.
• W2983113609 cites W2002690879 @default.
• W2983113609 cites W2043344477 @default.
• W2983113609 cites W2050273642 @default.
• W2983113609 cites W2094436387 @default.
• W2983113609 cites W2099796501 @default.
• W2983113609 cites W2109112103 @default.
• W2983113609 cites W2110713438 @default.
• W2983113609 cites W2119936234 @default.
• W2983113609 cites W2135101687 @default.
• W2983113609 cites W2138333449 @default.
• W2983113609 cites W2145341405 @default.
• W2983113609 cites W2151094992 @default.
• W2983113609 cites W2161408265 @default.
• W2983113609 cites W2161750010 @default.
• W2983113609 cites W2168792528 @default.
• W2983113609 cites W2170343592 @default.
• W2983113609 cites W2192074838 @default.
• W2983113609 cites W2340242368 @default.
• W2983113609 cites W2419525773 @default.
• W2983113609 cites W2480428645 @default.
• W2983113609 cites W2509594028 @default.
• W2983113609 cites W2516246978 @default.
• W2983113609 cites W2526047460 @default.
• W2983113609 cites W2560859645 @default.
• W2983113609 cites W2590817313 @default.
• W2983113609 cites W2607421828 @default.
• W2983113609 cites W2618123267 @default.
• W2983113609 cites W2626230259 @default.
• W2983113609 cites W2759210062 @default.
• W2983113609 cites W2773501620 @default.
• W2983113609 cites W2788453496 @default.
• W2983113609 cites W2894969347 @default.
• W2983113609 cites W2911964244 @default.
• W2983113609 cites W2917852464 @default.
• W2983113609 cites W2935930130 @default.
• W2983113609 cites W3038064033 @default.
• W2983113609 cites W3098634526 @default.
• W2983113609 cites W3098725024 @default.
• W2983113609 cites W3098731512 @default.
• W2983113609 cites W3100828532 @default.
• W2983113609 cites W3101214716 @default.
• W2983113609 cites W3101250786 @default.
• W2983113609 cites W3101946919 @default.
• W2983113609 cites W3102774732 @default.
• W2983113609 cites W3102914911 @default.
• W2983113609 cites W3103200212 @default.
• W2983113609 cites W3104322259 @default.
• W2983113609 cites W3105971240 @default.
• W2983113609 cites W3106198947 @default.
• W2983113609 cites W3121239552 @default.
• W2983113609 cites W3126023057 @default.
• W2983113609 cites W3200734850 @default.
• W2983113609 doi "https://doi.org/10.3847/1538-4357/ab558b" @default.
• W2983113609 hasPublicationYear "2019" @default.
• W2983113609 type Work @default.
• W2983113609 sameAs 2983113609 @default.
• W2983113609 citedByCount "12" @default.
• W2983113609 countsByYear W29831136092020 @default.
• W2983113609 countsByYear W29831136092021 @default.
• W2983113609 countsByYear W29831136092022 @default.
• W2983113609 countsByYear W29831136092023 @default.
• W2983113609 crossrefType "journal-article" @default.
• W2983113609 hasAuthorship W2983113609A5013489004 @default.
• W2983113609 hasAuthorship W2983113609A5019522737 @default.
• W2983113609 hasAuthorship W2983113609A5034505488 @default.
• W2983113609 hasAuthorship W2983113609A5038793215 @default.
• W2983113609 hasAuthorship W2983113609A5041283221 @default.
• W2983113609 hasAuthorship W2983113609A5063730642 @default.
• W2983113609 hasAuthorship W2983113609A5087457246 @default.
• W2983113609 hasBestOaLocation W29831136091 @default.
• W2983113609 hasConcept C100752510 @default.
• W2983113609 hasConcept C121332964 @default.
• W2983113609 hasConcept C12267149 @default.
• W2983113609 hasConcept C135041427 @default.
• W2983113609 hasConcept C144024400 @default.
• W2983113609 hasConcept C149923435 @default.
• W2983113609 hasConcept C154945302 @default.

• next