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Aryal, Bibek
Aryal, Bibek
Applied Scientist II, Microsoft
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Semi-automated semantic segmentation of arctic shorelines using very high-resolution airborne imagery, spectral indices and weakly supervised machine learning approaches
B Aryal, SM Escarzaga, SA Vargas Zesati, M Velez-Reyes, O Fuentes, ...
Remote Sensing 13 (22), 4572, 2021
152021
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
S Baraka, B Akera, B Aryal, T Sherpa, F Shresta, A Ortiz, K Sankaran, ...
NeurIPS 2020 Workshop on Tackling Climate Change with Machine Learning, 2020
142020
Evaluation of the spatiotemporal distribution of precipitation using 28 precipitation Indices and 4 IMERG datasets over Nepal
R Talchabhadel, S Shah, B Aryal
Remote Sensing 14 (23), 5954, 2022
52022
Common sense addition explained by Hurwicz optimism-pessimism criterion
B Aryal, L Bokati, K Godinez, S Ibarra, H Liu, B Wang, V Kreinovich
42019
Boundary Aware U-Net for Glacier Segmentation
B Aryal, KE Miles, SAV Zesati, O Fuentes
arXiv preprint arXiv:2301.11454, 2023
22023
Glacier Segmentation in Satellite Images for Hindu Kush Himalaya Region
B Aryal
The University of Texas at El Paso, 2020
22020
Glacier Segmentation From Remote Sensing Imagery Using Deep Learning
B Aryal
The University of Texas at El Paso, 2022
2022
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