| Progressively growing generative adversarial networks for high resolution semantic segmentation of satellite images E Collier, K Duffy, S Ganguly, G Madanguit, S Kalia, G Shreekant, ... 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 763-769, 2018 | 30 | 2018 |
| Multi-scale association between vegetation growth and climate in India: a wavelet analysis approach DE Sebastian, S Ganguly, J Krishnaswamy, K Duffy, R Nemani, S Ghosh Remote Sensing 11 (22), 2703, 2019 | 21 | 2019 |
| Climate-mediated shifts in temperature fluctuations promote extinction risk K Duffy, TC Gouhier, AR Ganguly Nature Climate Change 12 (11), 1037-1044, 2022 | 18 | 2022 |
| Explainable deep learning for insights in El Niño and river flows Y Liu, K Duffy, JG Dy, AR Ganguly Nature Communications 14 (1), 339, 2023 | 15 | 2023 |
| Spectral Synthesis for Geostationary Satellite-to-Satellite Translation TJ Vandal, D McDuff, W Wang, K Duffy, A Michaelis, RR Nemani IEEE Transactions on Geoscience and Remote Sensing 60, 1-11, 2021 | 15 | 2021 |
| Data-driven solutions AR Ganguly, E Kodra, U Bhatia, ME Warner, K Duffy, A Banerjee, ... Climate 2020: Degrees of Devastation, 82-85, 2018 | 9 | 2018 |
| A framework for deep learning emulation of numerical models with a case study in satellite remote sensing K Duffy, TJ Vandal, W Wang, RR Nemani, AR Ganguly IEEE Transactions on Neural Networks and Learning Systems, 2022 | 8 | 2022 |
| Semantic segmentation of high resolution satellite imagery using generative adversarial networks with progressive growing E Collier, S Mukhopadhyay, K Duffy, S Ganguly, G Madanguit, S Kalia, ... Remote Sensing Letters 12 (5), 439-448, 2021 | 5 | 2021 |
| Deep learning emulation of multi-angle implementation of atmospheric correction (maiac) K Duffy, T Vandal, W Wang, R Nemani, AR Ganguly ArXiv191013408 Cs Eess Stat, 2019 | 5 | 2019 |
| DeepEmSat: Deep emulation for satellite data mining K Duffy, T Vandal, S Li, S Ganguly, R Nemani, AR Ganguly Frontiers in big Data 2, 42, 2019 | 3 | 2019 |
| Multisensor Machine Learning to Retrieve High Spatiotemporal Resolution Land Surface Temperature K Duffy, TJ Vandal, RR Nemani IEEE Access 10, 89221-89231, 2022 | 1 | 2022 |
| Deep learning emulation of atmospheric correction for geostationary sensors K Duffy, T Vandal, S Li, RR Nemani, AR Ganguly AGU Fall Meeting Abstracts 2019, A41T-2671, 2019 | 1 | 2019 |
| NEX-AI: Deployment of Machine Learning Pipelines using Google Cloud ML Engine and AWS SageMaker GE Madanguit, S Ganguly, S Kalia, K Duffy, ED Collier, V Afzali Gorooh, ... AGU Fall Meeting Abstracts 2018, IN51B-0574, 2018 | 1 | 2018 |
| Building Scalable, Cloud-Native Systems for Low-Latency Weather Forecasting at Zeus AI K Duffy, T Vandal, D McDuff 104th AMS Annual Meeting, 2024 | | 2024 |
| Remote-sensing data driven Artificial Intelligence for precipitation-Nowcasting (“RAIN”). P Das, T Vandal, K Duffy, AR Ganguly, NM Barber, D Singh AGU23, 2023 | | 2023 |
| Author Correction: Climate-mediated shifts in temperature fluctuations promote extinction risk K Duffy, TC Gouhier, AR Ganguly Nature Climate Change 13 (5), 491-491, 2023 | | 2023 |
| Climate-mediated shifts in temperature fluctuations promote extinction risk (Oct, 10.1038/s41558-022-01490-7, 2022) K Duffy, TC Gouhier, AR Ganguly NATURE CLIMATE CHANGE 13 (5), 491-491, 2023 | | 2023 |
| Learning to Generate 3D Atmospheric Structure from Geostationary Imagery for Data Assimilation T Vandal, K Duffy, D Holdaway, A Sewnath 103rd AMS Annual Meeting, 2023 | | 2023 |
| Eighth Annual NOAA Open Data Dissemination K Duffy, M Robertson, T Lavoi, P Keown, T Sherman, R Chandra, N Merati, ... 103rd AMS Annual Meeting, 2023 | | 2023 |
| Prediction and Verification of Offshore Wind Using a Combination of Satellite and Weather Model Data K Duffy, T Vandal 103rd AMS Annual Meeting, 2023 | | 2023 |
