APA (7th ed.) Citation

Korvigo, I., Holmatov, M., Zaikovskii, A., & Skoblov, M. (2018). Putting hands to rest: Efficient deep CNN-RNN architecture for chemical named entity recognition with no hand-crafted rules. Journal of cheminformatics, 10(1), 28-10. https://doi.org/10.1186/s13321-018-0280-0

Chicago Style (17th ed.) Citation

Korvigo, Ilia, Maxim Holmatov, Anatolii Zaikovskii, and Mikhail Skoblov. "Putting Hands to Rest: Efficient Deep CNN-RNN Architecture for Chemical Named Entity Recognition with No Hand-crafted Rules." Journal of Cheminformatics 10, no. 1 (2018): 28-10. https://doi.org/10.1186/s13321-018-0280-0.

MLA (9th ed.) Citation

Korvigo, Ilia, et al. "Putting Hands to Rest: Efficient Deep CNN-RNN Architecture for Chemical Named Entity Recognition with No Hand-crafted Rules." Journal of Cheminformatics, vol. 10, no. 1, 2018, pp. 28-10, https://doi.org/10.1186/s13321-018-0280-0.