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 | 17 | 2021 |
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 | 15 | 2020 |
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 | 6 | 2022 |
Common sense addition explained by Hurwicz optimism-pessimism criterion B Aryal, L Bokati, K Godinez, S Ibarra, H Liu, B Wang, V Kreinovich | 4 | 2019 |
Boundary Aware U-Net for Glacier Segmentation B Aryal, KE Miles, SAV Zesati, O Fuentes arXiv preprint arXiv:2301.11454, 2023 | 2 | 2023 |
Glacier Segmentation in Satellite Images for Hindu Kush Himalaya Region B Aryal The University of Texas at El Paso, 2020 | 2 | 2020 |
Glacier Segmentation From Remote Sensing Imagery Using Deep Learning B Aryal The University of Texas at El Paso, 2022 | | 2022 |