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Thomas Vandal
Observed names:
TJ Vandal,
Thomas J. Vandal,
Vandal, Thomas,
Vandal, Thomas J.
Observed institutions:
Ames Research Center,
Northeastern University,
Bay Area Environmental Research Institute,
National Aeronautics and Space Administration,
Affectiva (United States)
ORCID:
0000-0003-4506-2646
Observed ORCID:
0000-0003-4506-2646
OpenAlex ID:
A5005210729
DeepSD
2017
·
Thomas Vandal
, Evan Kodra
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
284
Intercomparison of machine learning methods for statistical downscaling: the case of daily and extreme precipitation
2018
·
Thomas Vandal
, Evan Kodra
, et al.
·
Theoretical and Applied Climatology
·
202
PDF
Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version
2018
·
Thomas Vandal
, Evan Kodra
, et al.
·
International Joint Conference on Artificial Intelligence
·
105
PDF
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution
2017
·
Vandal, Thomas
, Kodra, Evan
, et al.
·
arXiv (Cornell University)
·
89
PDF
Data Science for Weather Impacts on Crop Yield
2020
·
Venkata Shashank Konduri
, Thomas J. Vandal
, et al.
·
Frontiers in Sustainable Food Systems
·
70
PDF
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning
2018
·
Thomas Vandal
, Evan Kodra
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
59
PDF
Hybrid physics-AI outperforms numerical weather prediction for extreme precipitation nowcasting
2024
·
Puja Das
, August Posch
, et al.
·
npj Climate and Atmospheric Science
·
49
PDF
First Provisional Land Surface Reflectance Product from Geostationary Satellite Himawari-8 AHI
2019
·
Shuang Li
, Weile Wang
, et al.
·
Remote Sensing
·
36
PDF
A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing
2022
·
Kate Duffy
, Thomas J. Vandal
, et al.
·
IEEE Transactions on Neural Networks and Learning Systems
·
20
PDF
Temporal Interpolation of Geostationary Satellite Imagery With Optical Flow
2021
·
Thomas J. Vandal
, Ramakrishna R. Nemani
·
IEEE Transactions on Neural Networks and Learning Systems
·
19
PDF
Event detection: Ultra large-scale clustering of facial expressions
2015
·
Thomas Vandal
, Daniel McDuff
, et al.
·
International Conference on Automatic Face and Gesture Recognition
·
19
Spectral Synthesis for Geostationary Satellite-to-Satellite Translation
2021
·
Thomas J. Vandal
, Daniel McDuff
, et al.
·
IEEE Transactions on Geoscience and Remote Sensing
·
18
PDF
GeoNEX: A Geostationary Earth Observatory at NASA Earth Exchange: Earth Monitoring from Operational Geostationary Satellite Systems
2020
·
Ramakrishna Nemani
, Weile Wang
, et al.
·
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
·
9
Multisensor Machine Learning to Retrieve High Spatiotemporal Resolution Land Surface Temperature
2022
·
Kate Duffy
, Thomas J. Vandal
, et al.
·
IEEE Access
·
7
Corrigendum: Data Science for Weather Impacts on Crop Yield
2020
·
Venkata Shashank Konduri
, Thomas J. Vandal
, et al.
·
Frontiers in Sustainable Food Systems
·
3
PDF
DeepEmSat: Deep Emulation for Satellite Data Mining
2019
·
Kate Duffy
, Thomas Vandal
, et al.
·
Frontiers in Big Data
·
3
PDF
Temporal Interpolation of Geostationary Satellite Imagery with Task Specific Optical Flow
2019
·
Vandal, Thomas
, Nemani, Ramakrishna
·
arXiv (Cornell University)
·
3
PDF
Prediction and Uncertainty Quantification of Daily Airport Flight Delays.
2017
·
Thomas Vandal
, Max Livingston
, et al.
·
3
Dense Feature Tracking of Atmospheric Winds with Deep Optical Flow
2022
·
Thomas J. Vandal
, Kate Duffy
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
2
Statistical Downscaling in Climate with State-of-the-Art Scalable Machine Learning
2017
·
Thomas Vandal
, Udit Bhatia
, et al.
·
Chapman & Hall/CRC eBooks
·
2
Deep Learning Emulation of Multi-Angle Implementation of Atmospheric Correction (MAIAC).
2019
·
Kate Duffy
, Thomas Vandal
, et al.
·
arXiv (Cornell University)
·
1
Compressing Earth science datasets with quantum-assisted machine learning algorithms
2018
·
Anita Wilson
, Andrew Michaelis
, et al.
·
AGUFM
·
1
Super-Resolution and Deep Learning for Climate Downscaling
2018
·
Thomas Vandal
·
98th American Meteorological Society Annual Meeting
·
1
Distilling deep optical flow stereo methods to retrieve dense three-dimensional wind fields
2026
·
Vandal, Thomas J.
, Wu, Dong L.
, et al.
·
arXiv (Cornell University)
PDF
Global Atmospheric Data Assimilation with Multi-Modal Masked Autoencoders
2025
·
Thomas J. Vandal
, Kate Duffy
, et al.
·
IEEE ... International Conference on Data Mining workshops
PDF
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Works count:
39
Citation count:
1,005
H-index:
12
I10-index:
12
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