Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience

Antonios Mamalakis, Elizabeth A. Barnes, Imme Ebert-Uphoff

Convolutional neural networks (CNNs) have recently attracted great attention in geoscience due to their ability to capture non-linear system behavior and extract predictive spatiot…