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2202.03407
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Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience
7 February 2022
Antonios Mamalakis
E. Barnes
I. Ebert‐Uphoff
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Papers citing
"Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience"
3 / 3 papers shown
Title
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves
Alessandro Lovo
Amaury Lancelin
Corentin Herbert
Freddy Bouchet
AI4CE
23
0
0
01 Oct 2024
Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications
Tom Beucler
Arthur Grundner
Sara Shamekh
Peter Ukkonen
Matthew Chantry
Ryan Lagerquist
43
0
0
04 Aug 2024
Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset
Antonios Mamalakis
I. Ebert‐Uphoff
E. Barnes
OOD
12
75
0
18 Mar 2021
1