COSMOS-Web: an overview of the JWST Cosmic Origins Survey CM Casey, JS Kartaltepe, NE Drakos, M Franco, S Harish, L Paquereau, ... The Astrophysical Journal 954 (1), 31, 2023 | 107 | 2023 |
Deep learning for computer vision tasks: a review RK Sinha, R Pandey, R Pattnaik arXiv preprint arXiv:1804.03928, 2018 | 73 | 2018 |
A machine-learning approach for classifying low-mass X-ray binaries based on their compact object nature R Pattnaik, K Sharma, K Alabarta, D Altamirano, M Chakraborty, ... Monthly Notices of the Royal Astronomical Society 501 (3), 3457-3471, 2021 | 13 | 2021 |
Deep learning for computer vision tasks: A review. arXiv 2018 RK Sinha, R Pandey, R Pattnaik arXiv preprint arXiv:1804.03928, 0 | 8 | |
Machine learning in astronomy A Kembhavi, R Pattnaik Journal of Astrophysics and Astronomy 43 (2), 76, 2022 | 7 | 2022 |
The Role of Galaxy Mergers and Interactions in Fueling Star Formation and Black Hole Activity J Kartaltepe, S Coffin, RL Larson, R Pattnaik, J Pforr HST Proposal, 17545, 2023 | | 2023 |
Galaxy Morphology Classifications of Simulated JWST NIRCam Images using Vector Quantized Variable Auto Encoder J Liu, J Kartaltepe, C Rose, R Pattnaik American Astronomical Society Meeting Abstracts 55 (2), 105.11, 2023 | | 2023 |
Redshift Wrangler: A Citizen Science Project to Analyze Extragalactic Spectroscopy J Kartaltepe, S Coffin, R Pattnaik, F Hufford, AA Khostovan American Astronomical Society Meeting Abstracts 55 (2), 161.10, 2023 | | 2023 |
Automating Redshift Measurements Using CNN R Pattnaik, J Kartaltepe American Astronomical Society Meeting Abstracts 55 (2), 405.05, 2023 | | 2023 |
Automating the measurements of galaxy redshifts and ISM properties using CNN R Pattnaik Rochester Institute of Technology, 2021 | | 2021 |