![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
"A shared latent space matrix factorisation method for recommending new ..."
Didi Surian et al. (2018)
- Didi Surian
, Adam G. Dunn
, Liat Orenstein
, Rabia Bashir
, Enrico W. Coiera
, Florence T. Bourgeois:
A shared latent space matrix factorisation method for recommending new trial evidence for systematic review updates. J. Biomed. Informatics 79: 32-40 (2018)
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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.