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Filtros : "Pinheiro, Gabriel A." "Quiles, Marcos Gonçalves" Removido: "Congresso Brasileiro de Computação" Limpar

Filtros

Artigo de periodico
SMICLR: Contrastive Learning on Multiple Molecular Representations for Semisupervised and Unsupervised Representation Learning (2022)
Pinheiro, Gabriel A.; Silva, Juarez Lopes Ferreira da ; Quiles, Marcos Gonçalves
Source: Journal of Chemical Information and Modeling. Unidade: IQSC
Subjects: MODELAGEM MOLECULAR, MOLÉCULA, QUÍMICA TEÓRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINHEIRO, Gabriel A. e SILVA, Juarez Lopes Ferreira da e QUILES, Marcos Gonçalves. SMICLR: Contrastive Learning on Multiple Molecular Representations for Semisupervised and Unsupervised Representation Learning. Journal of Chemical Information and Modeling, v. 62, n. 17, p. 3948–3960, 2022Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.2c00521. Acesso em: 01 nov. 2024.
APA
Pinheiro, G. A., Silva, J. L. F. da, & Quiles, M. G. (2022). SMICLR: Contrastive Learning on Multiple Molecular Representations for Semisupervised and Unsupervised Representation Learning. Journal of Chemical Information and Modeling, 62( 17), 3948–3960. doi:10.1021/acs.jcim.2c00521
NLM
Pinheiro GA, Silva JLF da, Quiles MG. SMICLR: Contrastive Learning on Multiple Molecular Representations for Semisupervised and Unsupervised Representation Learning [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 17): 3948–3960.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1021/acs.jcim.2c00521
Vancouver
Pinheiro GA, Silva JLF da, Quiles MG. SMICLR: Contrastive Learning on Multiple Molecular Representations for Semisupervised and Unsupervised Representation Learning [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 17): 3948–3960.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1021/acs.jcim.2c00521
Artigo de periodico
Machine Learning Prediction of Nine Molecular Properties Based on the SMILES Representation of the QM9 Quantum-Chemistry Dataset (2020)
Pinheiro, Gabriel A.; Mucelini, Johnatan ; Soares, Marinalva Dias ; Prati, Ronaldo Cristiano ; Silva, Juarez Lopes Ferreira da ; Quiles, Marcos Gonçalves
Source: Journal of Physical Chemistry A. Unidades: IQSC, ICMC
Assunto: QUÍMICA QUÂNTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINHEIRO, Gabriel A. et al. Machine Learning Prediction of Nine Molecular Properties Based on the SMILES Representation of the QM9 Quantum-Chemistry Dataset. Journal of Physical Chemistry A, v. No 2020, n. 47, p. 9854–9866, 2020Tradução . . Disponível em: https://doi.org/10.1021/acs.jpca.0c05969. Acesso em: 01 nov. 2024.
APA
Pinheiro, G. A., Mucelini, J., Soares, M. D., Prati, R. C., Silva, J. L. F. da, & Quiles, M. G. (2020). Machine Learning Prediction of Nine Molecular Properties Based on the SMILES Representation of the QM9 Quantum-Chemistry Dataset. Journal of Physical Chemistry A, No 2020( 47), 9854–9866. doi:10.1021/acs.jpca.0c05969
NLM
Pinheiro GA, Mucelini J, Soares MD, Prati RC, Silva JLF da, Quiles MG. Machine Learning Prediction of Nine Molecular Properties Based on the SMILES Representation of the QM9 Quantum-Chemistry Dataset [Internet]. Journal of Physical Chemistry A. 2020 ; No 2020( 47): 9854–9866.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1021/acs.jpca.0c05969
Vancouver
Pinheiro GA, Mucelini J, Soares MD, Prati RC, Silva JLF da, Quiles MG. Machine Learning Prediction of Nine Molecular Properties Based on the SMILES Representation of the QM9 Quantum-Chemistry Dataset [Internet]. Journal of Physical Chemistry A. 2020 ; No 2020( 47): 9854–9866.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1021/acs.jpca.0c05969

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