"Putting hands to rest: efficient deep CNN-RNN architecture for chemical ..."

Ilia Korvigo et al. (2018)

> Home

Details and statistics

DOI: 10.1186/S13321-018-0280-0

access: open

type: Journal Article

metadata version: 2022-10-02

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/jcheminf/KorvigoHZS18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jcheminf/KorvigoHZS18
Ilia Korvigo, Maxim Holmatov, Anatolii Zaikovskii, Mikhail Skoblov:
Putting hands to rest: efficient deep CNN-RNN architecture for chemical named entity recognition with no hand-crafted rules. J. Cheminformatics 10(1): 28 (2018)

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.