105 citations · 205 across the 3 of their papers we have counts for
3 papers
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…
Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset
Antonios Mamalakis, Imme Ebert-Uphoff, Elizabeth A. Barnes
Despite the increasingly successful application of neural networks to many problems in the geosciences, their complex and nonlinear structure makes the interpretation of their pred…
Rotated spectral principal component analysis (rsPCA) for identifying dynamical modes of variability in climate systems
Clément Guilloteau, Antonios Mamalakis, Lawrence Vulis +2
Spectral PCA (sPCA), in contrast to classical PCA, offers the advantage of identifying organized spatio-temporal patterns within specific frequency bands and extracting dynamical m…