A novel explainable yield forecasting methodology using deep learning
A novel explainable yield forecasting methodology using deep learning
Nunes, Manuel
af597793-a85a-463c-9d12-0ae4be7e0a69
Gerding, Enrico
d9e92ee5-1a8c-4467-a689-8363e7743362
McGroarty, Frank
693a5396-8e01-4d68-8973-d74184c03072
Niranjan, Mahesan
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Sermpinis, Georgios
d8497649-1c4d-4b93-af81-57560c118690
June 2023
Nunes, Manuel
af597793-a85a-463c-9d12-0ae4be7e0a69
Gerding, Enrico
d9e92ee5-1a8c-4467-a689-8363e7743362
McGroarty, Frank
693a5396-8e01-4d68-8973-d74184c03072
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Sermpinis, Georgios
d8497649-1c4d-4b93-af81-57560c118690
Nunes, Manuel, Gerding, Enrico, McGroarty, Frank, Niranjan, Mahesan and Sermpinis, Georgios
(2023)
A novel explainable yield forecasting methodology using deep learning.
Finance and Business Analytics Conference, , Nikiana, Greece.
07 - 09 Jun 2023.
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Conference or Workshop Item
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Published date: June 2023
Venue - Dates:
Finance and Business Analytics Conference, , Nikiana, Greece, 2023-06-07 - 2023-06-09
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Local EPrints ID: 493850
URI: http://eprints.soton.ac.uk/id/eprint/493850
PURE UUID: 589ab187-c0d2-43a4-b675-95410701028a
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Date deposited: 16 Sep 2024 16:32
Last modified: 26 Sep 2024 02:02
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