Space weather in the machine learning era: A multidisciplinary approach
Space weather in the machine learning era: A multidisciplinary approach
The workshop entitled Space Weather: A Multidisciplinary Approach took place at the Lorentz Center, University of Leiden, Netherlands, on 25-29 September 2017. The aim of this workshop was to bring together members of the Space Weather, Mathematics, Statistics, and Computer Science communities to address the use of advanced techniques such as Machine Learning, Information Theory, and Deep Learning, to better understand the Sun-Earth system and to improve space weather forecasting. Although individual efforts have been made toward this goal, the community consensus is that establishing interdisciplinary collaborations is the most promising strategy for fully utilizing the potential of these advanced techniques in solving Space Weather-related problems.
Machine learning, Workshop
Camporeale, E.
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Wing, S.
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Johnson, J.
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Jackman, C.M.
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McGranaghan, R.
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Camporeale, E.
f1272e8d-60ff-4ea8-afa2-653b1ae844c5
Wing, S.
ef9fcef3-6d9a-407d-bd54-09b27f1382ba
Johnson, J.
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Jackman, C.M.
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McGranaghan, R.
10b1c135-458b-44dd-984f-0cb05228d206
Camporeale, E., Wing, S., Johnson, J., Jackman, C.M. and McGranaghan, R.
(2018)
Space weather in the machine learning era: A multidisciplinary approach.
Space Weather.
(doi:10.1002/2017SW001775).
Abstract
The workshop entitled Space Weather: A Multidisciplinary Approach took place at the Lorentz Center, University of Leiden, Netherlands, on 25-29 September 2017. The aim of this workshop was to bring together members of the Space Weather, Mathematics, Statistics, and Computer Science communities to address the use of advanced techniques such as Machine Learning, Information Theory, and Deep Learning, to better understand the Sun-Earth system and to improve space weather forecasting. Although individual efforts have been made toward this goal, the community consensus is that establishing interdisciplinary collaborations is the most promising strategy for fully utilizing the potential of these advanced techniques in solving Space Weather-related problems.
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Space Weather in the Machine Learning Era: A Multidisciplinary Approach
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Accepted/In Press date: 26 December 2017
e-pub ahead of print date: 15 January 2018
Keywords:
Machine learning, Workshop
Identifiers
Local EPrints ID: 417820
URI: http://eprints.soton.ac.uk/id/eprint/417820
PURE UUID: 2861ef98-0865-478a-9470-a5375262b1ca
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Date deposited: 14 Feb 2018 17:31
Last modified: 16 Mar 2024 06:10
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Contributors
Author:
E. Camporeale
Author:
S. Wing
Author:
J. Johnson
Author:
R. McGranaghan
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