Generative models for ECG data : theory and application.

Gabriel Victorino Cardoso

Open source

DOI: 10.70675/715f0f66z693az4215z899bzd2237f6518d3
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Publisher: Agence Bibliographique de l'Enseignement Supérieur
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Cite this work

BibTeX

@article{allodium:10.70675/715f0f66z693az4215z899bzd2237f6518d3,
  title = {Generative models for ECG data : theory and application.},
  author = {Gabriel Victorino Cardoso},
  doi = {10.70675/715f0f66z693az4215z899bzd2237f6518d3},
  url = {https://doi.org/10.70675/715f0f66z693az4215z899bzd2237f6518d3}
}

RIS

TY  - JOUR
TI  - Generative models for ECG data : theory and application.
AU  - Gabriel Victorino Cardoso
DO  - 10.70675/715f0f66z693az4215z899bzd2237f6518d3
UR  - https://doi.org/10.70675/715f0f66z693az4215z899bzd2237f6518d3
ER  -

APA

Cardoso, G. V. (n.d.). Generative models for ECG data : theory and application.. https://doi.org/10.70675/715f0f66z693az4215z899bzd2237f6518d3

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crossref · retrieved 2026-09-27T05:48:52.257Z