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Emily So
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2020 – today
- 2024
- [i1]Joshua Dimasaka, Christian Geiß, Emily So:
Global Mapping of Exposure and Physical Vulnerability Dynamics in Least Developed Countries using Remote Sensing and Machine Learning. CoRR abs/2404.01748 (2024) - 2023
- [j7]Emily So, Fengqing Yu, Bo Wang, Benjamin Haibe-Kains:
Reusability report: Evaluating reproducibility and reusability of a fine-tuned model to predict drug response in cancer patient samples. Nat. Mac. Intell. 5(7): 792-798 (2023) - [c1]Christian Geiß, Jana Maier, Emily So, Yue Zhu:
LSTM models for spatiotemporal extrapolation of population data. JURSE 2023: 1-4 - 2021
- [j6]Yue Zhu, Christian Geiß, Emily So:
Image super-resolution with dense-sampling residual channel-spatial attention networks for multi-temporal remote sensing image classification. Int. J. Appl. Earth Obs. Geoinformation 104: 102543 (2021) - [j5]Yue Zhu, Christian Geiß, Emily So, Ying Jin:
Multitemporal Relearning With Convolutional LSTM Models for Land Use Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3251-3265 (2021)
2010 – 2019
- 2019
- [j4]Christian Geiß, Tobias Leichtle, Michael Wurm, Patrick Aravena Pelizari, Ines Standfuß, Xiao Xiang Zhu, Emily So, Stefan Siedentop, Thomas Esch, Hannes Taubenböck:
Large-Area Characterization of Urban Morphology - Mapping of Built-Up Height and Density Using TanDEM-X and Sentinel-2 Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(8): 2912-2927 (2019) - 2017
- [j3]Dilkushi A. de Alwis Pitts, Emily So:
Enhanced change detection index for disaster response, recovery assessment and monitoring of accessibility and open spaces (camp sites). Int. J. Appl. Earth Obs. Geoinformation 57: 49-60 (2017) - [j2]Dilkushi A. de Alwis Pitts, Emily So:
Enhanced change detection index for disaster response, recovery assessment and monitoring of buildings and critical facilities - A case study for Muzzaffarabad, Pakistan. Int. J. Appl. Earth Obs. Geoinformation 63: 167-177 (2017) - 2015
- [j1]Shifeng Wang, Emily So, Pete Smith:
Detecting tents to estimate the displaced populations for post-disaster relief using high resolution satellite imagery. Int. J. Appl. Earth Obs. Geoinformation 36: 87-93 (2015)
Coauthor Index
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