Kate Duffy

According to our database, Kate Duffy authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing.

Kate Duffy, Thomas J. Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly

IEEE Trans. Neural Networks Learn. Syst., July, 2023

2022

Spectral Synthesis for Geostationary Satellite-to-Satellite Translation.

Thomas Vandal, Daniel McDuff, Weile Wang, Kate Duffy, Andrew R. Michaelis, Ramakrishna R. Nemani

IEEE Trans. Geosci. Remote. Sens., 2022

Explainable deep learning for insights in El Nino and river flows.

Yumin Liu, Kate Duffy, Jennifer G. Dy, Auroop R. Ganguly

CoRR, 2022

Multisensor Machine Learning to Retrieve High Spatiotemporal Resolution Land Surface Temperature.

Kate Duffy, Thomas J. Vandal, Ramakrishna R. Nemani

IEEE Access, 2022

Dense Feature Tracking of Atmospheric Winds with Deep Optical Flow.

Thomas J. Vandal, Kate Duffy, Will McCarty, Akira Sewnath, Ramakrishna R. Nemani

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2019

Multi-Scale Association between Vegetation Growth and Climate in India: A Wavelet Analysis Approach.

Dawn Emil Sebastian, Sangram Ganguly, Jagdish Krishnaswamy, Kate Duffy, Ramakrishna R. Nemani, Subimal Ghosh

Remote. Sens., 2019

Dimensionality reduction of diffusion MRI measures for improved tractometry of the human brain.

Maxime Chamberland, Erika P. Raven, Sila Genc, Kate Duffy, Maxime Descoteaux, Greg D. Parker, Chantal M. W. Tax, Derek K. Jones

NeuroImage, 2019

DeepEmSat: Deep Emulation for Satellite Data Mining.

Kate Duffy, Thomas Vandal, Shuang Li, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly

Frontiers Big Data, 2019

Deep Learning Emulation of Multi-Angle Implementation of Atmospheric Correction (MAIAC).

Kate Duffy, Thomas Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly

CoRR, 2019

2018

Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images.

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

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018