"S3-VAE: A novel Supervised-Source-Separation Variational AutoEncoder ..."

Paola Casti et al. (2023)

> Home

Details and statistics

DOI: 10.1016/J.ESWA.2023.120861

access: closed

type: Journal Article

metadata version: 2023-10-14

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/eswa/CastiCCDFAMNM23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/eswa/CastiCCDFAMNM23
Paola Casti, Sara Cardarelli, Maria Colomba Comes, Michele D'Orazio, Joanna Filippi, Gianni Antonelli, Arianna Mencattini, Corrado Di Natale, Eugenio Martinelli:
S3-VAE: A novel Supervised-Source-Separation Variational AutoEncoder algorithm to discriminate tumor cell lines in time-lapse microscopy images. Expert Syst. Appl. 232: 120861 (2023)

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.