Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Ebert-Uphoff, Imme
61  Ergebnisse:
Personensuche X
?
1

Leveraging spatiotemporal information in meteorological ima..:

Bansal, Akansha S. ; Lee, Yoonjin ; Hilburn, Kyle.
Environmental Data Science.  2 (2023)  - p. , 2023
Link: https://doi.org/10.1017/..
 
?
2

The outlook for AI weather prediction:

Ebert-Uphoff, Imme ; Hilburn, Kyle
Nature.  619 (2023)  7970 - p. 473-474 , 2023
Link: https://doi.org/10.1038/..
 
?
3

Explainable Artificial Intelligence in Meteorology and Clim..:

, In: xxAI - Beyond Explainable AI; Lecture Notes in Computer Science,
Mamalakis, Antonios ; Ebert-Uphoff, Imme ; Barnes, Elizabeth A. - p. 315-339 , 2022
Link: https://doi.org/10.1007/..
 
?
4

Neural network attribution methods for problems in geoscien..:

Mamalakis, Antonios ; Ebert-Uphoff, Imme ; Barnes, Elizabeth A.
Environmental Data Science.  1 (2022)  - p. , 2022
Link: https://doi.org/10.1017/..
 
?
5

Why we need to focus on developing ethical, responsible, an..:

McGovern, Amy ; Ebert-Uphoff, Imme ; Gagne II, David John.
Environmental Data Science.  1 (2022)  - p. , 2022
Link: https://doi.org/10.1017/..
 
?
6

Applying machine learning methods to detect convection usin..:

Lee, Yoonjin ; Kummerow, Christian D. ; Ebert-Uphoff, Imme
Atmospheric Measurement Techniques.  14 (2021)  4 - p. 2699-2716 , 2021
Link: https://doi.org/10.5194/..
 
?
7

Development and Interpretation of a Neural-Network-Based Sy..:

Hilburn, Kyle A. ; Ebert-Uphoff, Imme ; Miller, Steven D.
Journal of Applied Meteorology and Climatology.  60 (2021)  1 - p. 3-21 , 2021
Link: https://www.jstor.org/st..
 
?
8

Evaluation, Tuning, and Interpretation of Neural Networks f..:

Ebert-Uphoff, Imme ; Hilburn, Kyle
Bulletin of the American Meteorological Society.  101 (2020)  12 - p. E2149-E2170 , 2020
Link: https://www.jstor.org/st..
 
?
9

New Exploratory Tools for Extremal Dependence: $$\chi $$ Ne..:

Huang, Whitney K. ; Cooley, Daniel S. ; Ebert-Uphoff, Imme..
Journal of Agricultural, Biological and Environmental Statistics.  24 (2019)  3 - p. 484-501 , 2019
Link: https://doi.org/10.1007/..
 
?
10

New Exploratory Tools for Extremal Dependence: χ Networks a..:

Huang, Whitney K. ; Cooley, Daniel S. ; Ebert-Uphoff, Imme..
Journal of Agricultural, Biological, and Environmental Statistics.  24 (2019)  3 - p. 484-501 , 2019
Link: https://www.jstor.org/st..
 
?
11

Machine Learning for the Geosciences: Challenges and Opport..:

Karpatne, Anuj ; Ebert-Uphoff, Imme ; Ravela, Sai..
IEEE Transactions on Knowledge and Data Engineering.  31 (2019)  8 - p. 1544-1554 , 2019
Link: https://doi.org/10.1109/..
 
?
12

Bridging sustainability science, earth science, and data sc..:

Pennington, Deana ; Ebert-Uphoff, Imme ; Freed, Natalie..
Sustainability Science.  15 (2019)  2 - p. 647-661 , 2019
Link: https://doi.org/10.1007/..
 
?
13

Intelligent systems for geosciences: an essential research ..:

Gil, Yolanda ; Pierce, Suzanne A. ; Babaie, Hassan...
Communications of the ACM.  62 (2018)  1 - p. 76-84 , 2018
Link: https://doi.org/10.1145/..
 
?
14

Intelligent systems for geosciences : an essential resea..:

Gil, Yolanda ; Pierce, Suzanne A. ; Babaie, Hassan...
Communications of the ACM.  62 (2018)  1 - p. 76-84 , 2018
Link: https://dl.acm.org/doi/1..
 
?
15

Causal discovery in the geosciences—Using synthetic data to..:

Ebert-Uphoff, Imme ; Deng, Yi
Computers & Geosciences.  99 (2017)  - p. 50-60 , 2017
Link: https://doi.org/10.1016/..
 
1-15