| An attention U-Net model for detection of fine-scale hydrologic streamlines Z Xu, S Wang, LV Stanislawski, Z Jiang, N Jaroenchai, AM Sainju, ... Environmental Modelling & Software 140, 104992, 2021 | 50 | 2021 |
| Transfer learning with convolutional neural networks for hydrological streamline delineation N Jaroenchai, S Wang, LV Stanislawski, E Shavers, Z Jiang, V Sagan, ... Environmental Modelling & Software 181, 106165, 2024 | 5 | 2024 |
| Transferring deep learning models for hydrographic feature extraction from IfSAR data in Alaska LV Stanislawski, N Jaroenchai, S Wang, EJ Shavers, A Duffy, PT Thiem, ... GIScience 2023 Workshop on CartoAI: AI for cartography, 2023 | 1 | 2023 |
| Scaling-up deep learning predictions of hydrography from IfSAR data in Alaska LV Stanislawski, EJ Shavers, AJ Duffy, P Thiem, N Jaroenchai, S Wang, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2022 | 1 | 2022 |
| Accurate Feature Extraction from Historical Geologic Maps Using Open-Set Segmentation and Detection A Saxton, J Dong, A Bode, N Jaroenchai, R Kooper, X Zhu, DH Kwark, ... Geosciences 14 (11), 305, 2024 | | 2024 |
| Adaptive Fine-tuning for Transferring a U-net Hydrography Extraction Model using K-means LV Stanislawski, E Shavers, N Pastick, P Thiem, S Wang, N Jaroenchai, ... | | |
Zhe JiangUniversity of Florida; ACM/IEEE Senior Member在 ufl.edu 的电子邮件经过验证
