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2020 – today
- 2024
[i4]Thomas J. Vandal, Kate Duffy, Daniel McDuff, Yoni Nachmany, Chris Hartshorn:
Global atmospheric data assimilation with multi-modal masked autoencoders. CoRR abs/2407.11696 (2024)- 2023
- [j6]Kate Duffy
, Thomas J. Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly:
A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3345-3356 (2023) - 2022
- [j5]Kate Duffy, Thomas J. Vandal, Ramakrishna R. Nemani:
Multisensor Machine Learning to Retrieve High Spatiotemporal Resolution Land Surface Temperature. IEEE Access 10: 89221-89231 (2022) - [j4]Thomas Vandal, Daniel McDuff, Weile Wang, Kate Duffy, Andrew R. Michaelis, Ramakrishna R. Nemani:
Spectral Synthesis for Geostationary Satellite-to-Satellite Translation. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [c2]Thomas J. Vandal, Kate Duffy, Will McCarty, Akira Sewnath, Ramakrishna R. Nemani:
Dense Feature Tracking of Atmospheric Winds with Deep Optical Flow. KDD 2022: 1807-1815 - [i3]Yumin Liu, Kate Duffy, Jennifer G. Dy, Auroop R. Ganguly:
Explainable deep learning for insights in El Nino and river flows. CoRR abs/2201.02596 (2022)
2010 – 2019
- 2019
- [j3]Kate Duffy, Thomas Vandal, Shuang Li, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly:
DeepEmSat: Deep Emulation for Satellite Data Mining. Frontiers Big Data 2: 42 (2019) - [j2]Maxime Chamberland, Erika P. Raven, Sila Genc, Kate Duffy, Maxime Descoteaux, Greg D. Parker, Chantal M. W. Tax, Derek K. Jones:
Dimensionality reduction of diffusion MRI measures for improved tractometry of the human brain. NeuroImage 200: 89-100 (2019) - [j1]Dawn Emil Sebastian, Sangram Ganguly, Jagdish Krishnaswamy, Kate Duffy, Ramakrishna R. Nemani, Subimal Ghosh:
Multi-Scale Association between Vegetation Growth and Climate in India: A Wavelet Analysis Approach. Remote. Sens. 11(22): 2703 (2019) - [i2]Edward Collier, Kate Duffy, Sangram Ganguly, Geri Madanguit, Subodh Kalia, Shreekant Gayaka, Ramakrishna R. Nemani, Andrew R. Michaelis, Shuang Li, Auroop R. Ganguly, Supratik Mukhopadhyay:
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. CoRR abs/1902.04604 (2019) - [i1]Kate Duffy, Thomas Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly:
Deep Learning Emulation of Multi-Angle Implementation of Atmospheric Correction (MAIAC). CoRR abs/1910.13408 (2019) - 2018
- [c1]Edward Collier, Kate Duffy, Sangram Ganguly, Geri Madanguit, Subodh Kalia, Shreekant Gayaka, Ramakrishna R. Nemani, Andrew R. Michaelis, Shuang Li, Auroop R. Ganguly, Supratik Mukhopadhyay:
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. ICDM Workshops 2018: 763-769
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