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Ebert-Uphoff, Imme
61
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Online (60)
Print (1)
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Books (1)
Articles (Online) (17)
Bookchapter (Online) (1)
OpenAccess-fulltext (42)
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german (1)
english (39)
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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
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/..
?
4
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/..
?
5
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/..
?
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
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/..
?
11
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/..
?
12
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..
?
13
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..
?
14
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/..
?
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
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