متابعة
Aditya Narendra
Aditya Narendra
Doctoral Student, Jagiellonian University
بريد إلكتروني تم التحقق منه على doctoral.uj.edu.pl
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
192021
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
172022
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
162023
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
92024
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
92023
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
82024
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
82022
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
GRB Redshift Estimation using Machine Learning and the Associated Web-App‏
A Narendra, M Dainotti, M Sarkar, A Lenart, M Bogdan, A Pollo, B Zhang, ...‏
arXiv preprint arXiv:2410.13985, 2024‏
32024
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
The Machine Learning to reconstruct GRB lightcurves‏
MG Dainotti, B De Simone, A Narendra, A Pollo‏
arXiv preprint arXiv:2501.13102, 2025‏
2025
Gamma-ray Bursts as Distance Indicators by a Machine Learning Approach‏
MG Dainotti, A Narendra, A Pollo, V Petrosian, M Bogdan, K Iwasaki, ...‏
arXiv e-prints, 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 226, 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 225, 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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مقالات 1–17