Detecting favorite topics in computing scientific literature via dynamic topic modeling (2023)
Source: IEEE Access. Unidades: EP, EACH
Subjects: GEOMETRIA E MODELAGEM COMPUTACIONAL, METADADOS
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QUILLE, Rosa Virginia Encinas et al. Detecting favorite topics in computing scientific literature via dynamic topic modeling. IEEE Access, v. 11, p. 41535-41545, 2023Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2023.3269660. Acesso em: 11 out. 2024.APA
Quille, R. V. E., Corrêa, P. L. P., Meléndez Barros, J. de J., Barbado Júnior, M., & Almeida, F. V. de. (2023). Detecting favorite topics in computing scientific literature via dynamic topic modeling. IEEE Access, 11, 41535-41545. doi:10.1109/ACCESS.2023.3269660NLM
Quille RVE, Corrêa PLP, Meléndez Barros J de J, Barbado Júnior M, Almeida FV de. Detecting favorite topics in computing scientific literature via dynamic topic modeling [Internet]. IEEE Access. 2023 ; 11 41535-41545.[citado 2024 out. 11 ] Available from: https://doi.org/10.1109/ACCESS.2023.3269660Vancouver
Quille RVE, Corrêa PLP, Meléndez Barros J de J, Barbado Júnior M, Almeida FV de. Detecting favorite topics in computing scientific literature via dynamic topic modeling [Internet]. IEEE Access. 2023 ; 11 41535-41545.[citado 2024 out. 11 ] Available from: https://doi.org/10.1109/ACCESS.2023.3269660