{rfName}
Sp

Indexed in

License and use

Licencia
Icono OpenAccess

Analysis of institutional authors

Zanardini, DamianoSupervisor

Share

April 24, 2025
Thesis & Supervision Work
>
Final project (Master)
Sí

Spatio-Temporal Graph Convolutional Networks (ST-GCN) for predicting international trade

Date read: 2024-07-01 {_iPublic_txt_centro_}: E.T.S. de Ingenieros Informáticos (UPM) | ID: https://oa.upm.es/82924/

Author: Tomás Martín, Alberto

Director: Zanardini, Damiano

Abstract


Keywords

Informática

Quality index

Impact and social visibility

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/82924/

{_iPublic_txt_info_premios_}