default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID"Learning interpretable causal networks from very large datasets, ..."
Marcel da Câmara Ribeiro-Dantas (2022)
- Marcel da Câmara Ribeiro-Dantas:
Learning interpretable causal networks from very large datasets, application to 400,000 medical records of breast cancer patients. (Apprentissage de réseaux causaux interprétables à partir de très grands ensembles de données, application à 400 000 dossiers médicaux de patients atteints d'un cancer du sein). Sorbonne University, Paris, France, 2022
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.
last updated on 2022-12-14 17:03 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
