Semi-supervised learning approaches with applications in Medicinal Chemistry (2019)
Unidade: ICMCSubjects: BIG DATA, FRAMEWORKS, QUÍMICA MÉDICA, APRENDIZADO COMPUTACIONAL, ESTRUTURA QUÍMICA
ABNT
GERTRUDES, Jadson Castro. Semi-supervised learning approaches with applications in Medicinal Chemistry. 2019. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2019. Disponível em: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-22082019-105334/. Acesso em: 23 abr. 2024.APA
Gertrudes, J. C. (2019). Semi-supervised learning approaches with applications in Medicinal Chemistry (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de http://www.teses.usp.br/teses/disponiveis/55/55134/tde-22082019-105334/NLM
Gertrudes JC. Semi-supervised learning approaches with applications in Medicinal Chemistry [Internet]. 2019 ;[citado 2024 abr. 23 ] Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-22082019-105334/Vancouver
Gertrudes JC. Semi-supervised learning approaches with applications in Medicinal Chemistry [Internet]. 2019 ;[citado 2024 abr. 23 ] Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-22082019-105334/