Time series causal relationships discovery through feature importance and ensemble models

Inferring causal relationships from observational data is a key challenge in understanding the interpretability of Machine Learning models. Given the ever-increasing amount of observational data available in many areas, Machine Learning algorithms used for forecasting have become more complex, leadi...

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Detalles Bibliográficos
Autores principales: Castro, Manuel, Mendes Júnior, Pedro Ribeiro, Soriano-Vargas, Aurea, de Oliveira Werneck, Rafael, Moreira Gonçalves, Maiara, Lusquino Filho, Leopoldo, Moura, Renato, Zampieri, Marcelo, Linares, Oscar, Ferreira, Vitor, Ferreira, Alexandre, Davólio, Alessandra, Schiozer, Denis, Rocha, Anderson
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349147/
https://www.ncbi.nlm.nih.gov/pubmed/37452079
http://dx.doi.org/10.1038/s41598-023-37929-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349147/
https://www.ncbi.nlm.nih.gov/pubmed/37452079
http://dx.doi.org/10.1038/s41598-023-37929-w

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