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Probabilistic study of induced ordered linear fusion operators for time series forecasting

Author:
Baz González, JuanUniovi authority; Ferrero Jaurrieta, M.; Díaz Rodríguez, Susana IreneUniovi authority; Montes Rodríguez, SusanaUniovi authority; Beliakov, G.; Bustince, H.
Publication date:
2024
Publisher version:
http://dx.doi.org/10.1016/j.inffus.2023.102093
Citación:
Information Fusion, 103 (2024); doi:10.1016/j.inffus.2023.102093
URI:
https://hdl.handle.net/10651/74138
ISSN:
1566-2535
DOI:
10.1016/j.inffus.2023.102093
Local Notes:

OA ATUO23

Patrocinado por:

J. Baz is partially supported by Programa Severo Ochoa of Principality of Asturias (BP21042). H. Bustince and M. Ferrero-Jaurrieta are supported by Agencia Estatal de Investigación (PID2019-108392GB-I00, AEI/10.13039/501100011033). J. Baz, S. Montes and I. Díaz are supported by the Ministry of Science and Innovation (PDI2022-139886NB-l00). The work of G. Beliakov was supported by the Australian Research Council Discovery project DP210100227.

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© 2023 The Authors.
This item is protected with a Creative Commons License