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Aditya Narendra
Aditya Narendra
Doctoral Student, Jagiellonian University
Dirección de correo verificada de doctoral.uj.edu.pl
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Predicting the redshift of γ-ray-loud AGNs using supervised machine learning
MG Dainotti, M Bogdan, A Narendra, SJ Gibson, B Miasojedow, I Liodakis, ...
The Astrophysical Journal 920 (2), 118, 2021
172021
Predicting the redshift of gamma-ray loud agns using supervised machine learning. ii
A Narendra, SJ Gibson, MG Dainotti, M Bogdan, A Pollo, I Liodakis, ...
The Astrophysical Journal Supplement Series 259 (2), 55, 2022
122022
A Stochastic Approach To Reconstruct Gamma Ray Burst Lightcurves
MG Dainotti, R Sharma, A Narendra, D Levine, E Rinaldi, A Pollo, ...
The Astrophysical Journal Supplement Series 267 (2), 42, 2023
82023
Validation of estimated cloud fraction from MERRA-2 and AIRS data using ground based observation over IAO, Hanle
SS Ningombam, A Narendra, BC Bhatt, TP Prabhu, GC Anupama, ...
Advances in Space Research 66 (4), 826-843, 2020
42020
Inferring the Redshift of More than 150 GRBs with a Machine-learning Ensemble Model
MG Dainotti, E Taira, E Wang, E Lehman, A Narendra, A Pollo, ...
The Astrophysical Journal Supplement Series 271 (1), 22, 2024
22024
GRB optical and X-ray plateau properties classifier using unsupervised machine learning
S Bhardwaj, MG Dainotti, S Venkatesh, A Narendra, A Kalsi, E Rinaldi, ...
Monthly Notices of the Royal Astronomical Society 525 (4), 5204-5223, 2023
22023
Fermi LAT AGN classification using supervised machine learning
N Cooper, MG Dainotti, A Narendra, I Liodakis, M Bogdan
Monthly Notices of the Royal Astronomical Society 525 (2), 1731-1745, 2023
12023
Using Multivariate Imputation by Chained Equations to Predict Redshifts of Active Galactic Nuclei
SJ Gibson, A Narendra, MG Dainotti, M Bogdan, A Pollo, A Poliszczuk, ...
Frontiers in Astronomy and Space Sciences 9, 836215, 2022
12022
Gamma-Ray Bursts as Distance Indicators by a Statistical Learning Approach
MG Dainotti, A Narendra, A Pollo, V Petrosian, M Bogdan, K Iwasaki, ...
The Astrophysical Journal Letters 967 (2), L30, 2024
2024
Gamma-ray Bursts as Distance Indicators by a Machine Learning Approach
MG Dainotti, A Narendra, A Pollo, V Petrosian, M Bogdan, K Iwasaki, ...
arXiv preprint arXiv:2402.04551, 2024
2024
Predicting the redshift of AGNs using SuperLearner
A Narendra
Video Memorie della Societa Astronomica Italiana 4, 41, 2023
2023
VizieR Online Data Catalog: Swift GRBs light curve reconstruction (Dainotti+, 2023)
MG Dainotti, R Sharma, A Narendra, D Levine, E Rinaldi, A Pollo, ...
VizieR Online Data Catalog, J/ApJS/267/42, 2023
2023
VizieR Online Data Catalog: Predicted redshifts for 4FGL gamma-ray loud AGNs (Narendra+, 2022)
A Narendra, SJ Gibson, MG Dainotti, M Bogdan, A Pollo, I Liodakis, ...
VizieR Online Data Catalog, J/ApJS/259/55, 2022
2022
Validation of estimated cloud fraction from MERRA-2 and AIRS data using ground based observation over IAO, Hanle
SN Shantikumar, A Narendra, BC Bhatt, TP Prabhu, GC Anupama, ...
Elsevier BV, 2020
2020
Inferring the redshift of more than 150 GRBs with a Machine Learning Ensemble model
M giovanna Dainotti, E Taira, E Wang, E Lehman, A Narendra, A Pollo, ...
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Artículos 1–15