"On the Application of Multidimensional LSTM Networks to Forecast Quarterly ..."

Adam Galuszka et al. (2022)

> Home

Details and statistics

DOI: 10.1007/978-3-031-18461-1_40

access: closed

type: Conference or Workshop Paper

metadata version: 2023-03-16

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ftc/GaluszkaNPJWK22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ftc/GaluszkaNPJWK22
Adam Galuszka, Aleksander Nawrat, Eryka Probierz, Karol Jedrasiak, Tomasz Wisniewski, Katarzyna Klimczak:
On the Application of Multidimensional LSTM Networks to Forecast Quarterly Reports Financial Statements. FTC (1) 2022: 615-624

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.