Journal of Geophysical Research: Machine Learning and Computation is an open access journal dedicated to the publication of research that develops and explores innovative data-driven and computational methodologies based on statistical analysis, machine learning, artificial intelligence, and mathematical models, with the aim of advancing knowledge in the domain of Earth and space sciences.
New paper accepted: Dahal, A., Huser, R., and Lombardo, L. (2024+), At the junction between deep learning and statistics of extremes: formalizing the landslide hazard definition, Journal of Geophysical Research: Machine Learning and Computation, to appear [PDF preprint]
