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Cited article:

GRB Redshift Classifier to Follow up High-redshift GRBs Using Supervised Machine Learning

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Machine-z: rapid machine-learned redshift indicator forSwiftgamma-ray bursts

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CONNECTING GRBs AND ULIRGs: A SENSITIVE, UNBIASED SURVEY FOR RADIO EMISSION FROM GAMMA-RAY BURST HOST GALAXIES AT 0 D. A. Perley, R. A. Perley, J. Hjorth, et al.
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RAPID, MACHINE-LEARNED RESOURCE ALLOCATION: APPLICATION TO HIGH-REDSHIFT GAMMA-RAY BURST FOLLOW-UP

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Gamma-ray bursts from the early Universe: predictions for present-day and future instruments

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Monthly Notices of the Royal Astronomical Society 385 (1) 189 (2008)
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Hubble diagram of gamma-ray bursts calibrated with Gurzadyan-Xue cosmology

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Testing reionization with gamma-ray burst absorption spectra

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The Luminosity Function of Long Gamma-Ray Burst and their rate at z ≥ 6

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Detection of GRB 060927 atz= 5.47: Implications for the Use of Gamma‐Ray Bursts as Probes of the End of the Dark Ages

A. E. Ruiz‐Velasco, H. Swan, E. Troja, et al.
The Astrophysical Journal 669 (1) 1 (2007)
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On the detection of very high redshift gamma-ray bursts with Swift

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