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First Application of Artificial Neural Networks to Estimate 21st Century Greenland Ice Sheet Surface Melt

by Sellevold, R. (author), Vizcaino, M. (author)
Published in Geophysical Research Letters (2021)
Subjects: “...neural networks...”

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First Application of Artificial Neural Networks to Estimate 21st Century Greenland Ice Sheet Surface Melt

by Sellevold, Raymond, Vizcaino, Miren
Published in Geophysical Research Letters (2021)
“... calculations within most global climate models and the high computational cost of dynamical downscaling...”

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Constraining subglacial processes from surface velocity observations using surrogate-based Bayesian inference

by Brinkerhoff, Douglas, Aschwanden, Andy, Fahnestock, Mark
Published in Journal of Glaciology (2020)
Subjects: “...Physics - Computational Physics...”

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Automated Extraction of Glacial Features using Deep Learning

by Cheng, Daniel Lop-Chi
Published 2021
Subjects: “...Computer science...”

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Constraining subglacial processes from surface velocity observations using surrogate-based Bayesian inference

by Brinkerhoff, Douglas, Aschwanden, Andy, Fahnestock, Mark
Published 2020
Subjects: “...Computational Physics physics.comp-ph...”

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6

Automatic Fish Age Determination across Different Otolith Image Labs Using Domain Adaptation

by Ordonez, Alba, Eikvil, Line, Salberg, Arnt-Børre, Harbitz, Alf, Elvarsson, Bjarki Thor
Published in Fishes (2022)
“... acquired by the Institute of Marine Research (Norway) were recently used to train a convolutional neural...”

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Constraining subglacial processes from surface velocity observations using surrogate-based Bayesian inference

by Brinkerhoff, Douglas, Aschwanden, Andy, Fahnestock, Mark
Published in Journal of Glaciology (2021)
“... a neural network as a surrogate that approximates the model at a sliver of the computational cost...”

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8

Age prediction by deep learning applied to Greenland halibut (Reinhardtius hippoglossoides) otolith images

by Martinsen, Ivar, Harbitz, Alf, Bianchi, Filippo Maria
Published in PLOS ONE (2022)
“... images by human experts, an automated procedure based on convolutional neural networks (CNNs), a class...”

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9

Constraining subglacial processes from surface velocity observations using surrogate-based Bayesian inference

by Douglas Brinkerhoff, Andy Aschwanden, Mark Fahnestock
Published in Journal of Glaciology (2021)
“... neural network as a surrogate that approximates the model at a sliver of the computational cost. We find...”

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