47 citations · 53 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 6 cited
CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences -- Version 1
Imme Ebert-Uphoff, Ryan Lagerquist, Kyle Hilburn +5
Neural networks are increasingly used in environmental science applications. Furthermore, neural network models are trained by minimizing a loss function, and it is crucial to choo…
eess.IV2020★ 47 cited
Tropical and Extratropical Cyclone Detection Using Deep Learning
Christina Kumler-Bonfanti, Jebb Stewart, David Hall +1
Extracting valuable information from large sets of diverse meteorological data is a time-intensive process. Machine learning methods can help improve both speed and accuracy of thi…