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Investigating the Fidelity of Explainable Artificial Intelligence Methods for Applications of Convolutional Neural Networks in Geoscience
Publisher: American Meteorological Society
Abstract: Convolutional neural networks (CNNs) have recently attracted great attention in geoscience because of their ability to capture nonlinear system behavior and extract predictive spatiotemporal patterns. Given their black-box ...
This Looks Like That There: Interpretable Neural Networks for Image Tasks When Location Matters
Publisher: American Meteorological Society
Abstract: We develop and demonstrate a new interpretable deep learning model specifically designed for image analysis in Earth system science applications. The neural network is designed to be inherently interpretable, rather than ...