Tissot, Philippe E.
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3

Relative Importance of Large‐Scale Environmental Variables ..:

Liu, Nana ; Liu, Chuntao ; Tissot, Philippe E.
Journal of Geophysical Research: Atmospheres.  127 (2022)  17 - p. , 2022
 
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4

A Bayesian‐Like Approach to Describe the Regional Variation..:

Liu, Nana ; Liu, Chuntao ; Tissot, Philippe E.
Journal of Geophysical Research: Atmospheres.  124 (2019)  23 - p. 12507-12522 , 2019
 
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5

Ensemble Neural Networks for Modeling DEM Error:

Nguyen, Chuyen ; Starek, Michael J. ; Tissot, Philippe E...
ISPRS International Journal of Geo-Information.  8 (2019)  10 - p. 444 , 2019
 
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9

Artificial neural network predictions of water levels in a ..:

Sadovski, Alexey ; Michaud, Patrick ; Tissot, Philippe E..
Revista de Matemática: Teoría y Aplicaciones.  12 (2005)  1-2 - p. 139-150 , 2005
 
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10

A deep learning based method to delineate the wet/dry shore..:

Vicens-Miquel, Marina ; Medrano, F. Antonio ; Tissot, Philippe E...
Vicens-Miquel, M.; Medrano, F.A.; Tissot, P.E.; Kamangir, H.; Starek, M.J.; Colburn, K. A Deep Learning Based Method to Delineate the Wet/Dry Shoreline and Compute Its Elevation Using High-Resolution UAS Imagery. Remote Sens. 2022, 14, 5990. https://doi.org/10.3390/ rs14235990.  , 2022
 
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11

Artificial neural network predictions of water levels in a ..:

Bowles, Zack ; Tissot, Philippe E ; Michaud, Patrick.
https://revistas.ucr.ac.cr/index.php/matematica/article/view/258/238.  , 2005
 
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12

Outlook for Exploiting Artificial Intelligence in the Earth..:

Boukabara, Sid-Ahmed ; Krasnopolsky, Vladimir ; Penny, Stephen G....
Bulletin of the American Meteorological Society.  102 (2021)  5 - p. E1016-E1032 , 2021
 
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13

Outlook for Exploiting Artificial Intelligence in the Earth..:

Boukabara, Sid-Ahmed ; Krasnopolsky, Vladimir ; Penny, Stephen G....
Bulletin of the American Meteorological Society.  102 (2021)  5 - p. E1016-E1032 , 2021
 
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