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Artigo de periodico
Analysis of the effectiveness of public health measures on COVID-19 transmission (2023)
Silva, Thiago Christiano ; Anghinoni, Leandro ; Chagas, Cassia Pereira das; Zhao, Liang ; Tabak, Benjamin Miranda
Source: International Journal of Environmental Research and Public Health. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, COVID-19, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Thiago Christiano et al. Analysis of the effectiveness of public health measures on COVID-19 transmission. International Journal of Environmental Research and Public Health, v. 20, n. 18, p. 1-19, 2023Tradução . . Disponível em: https://doi.org/10.3390/ijerph20186758. Acesso em: 25 set. 2024.
APA
Silva, T. C., Anghinoni, L., Chagas, C. P. das, Zhao, L., & Tabak, B. M. (2023). Analysis of the effectiveness of public health measures on COVID-19 transmission. International Journal of Environmental Research and Public Health, 20( 18), 1-19. doi:10.3390/ijerph20186758
NLM
Silva TC, Anghinoni L, Chagas CP das, Zhao L, Tabak BM. Analysis of the effectiveness of public health measures on COVID-19 transmission [Internet]. International Journal of Environmental Research and Public Health. 2023 ; 20( 18): 1-19.[citado 2024 set. 25 ] Available from: https://doi.org/10.3390/ijerph20186758
Vancouver
Silva TC, Anghinoni L, Chagas CP das, Zhao L, Tabak BM. Analysis of the effectiveness of public health measures on COVID-19 transmission [Internet]. International Journal of Environmental Research and Public Health. 2023 ; 20( 18): 1-19.[citado 2024 set. 25 ] Available from: https://doi.org/10.3390/ijerph20186758
Artigo de periodico
Local rule-based explanations method based on genetic algorithms with fitness sharing (2023)
Santos, Daniel Augusto dos; Baranauskas, José Augusto ; Tinós, Renato
Source: Learning and Nonlinear Models - Journal of the Brazilian Society on Computational Intelligence (SBIC). Unidade: FFCLRP
Subjects: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS GENÉTICOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Daniel Augusto dos e BARANAUSKAS, José Augusto e TINÓS, Renato. Local rule-based explanations method based on genetic algorithms with fitness sharing. Learning and Nonlinear Models - Journal of the Brazilian Society on Computational Intelligence (SBIC), v. 21, n. 2, p. 4-15, 2023Tradução . . Disponível em: https://doi.org/10.21528/lnlm-vol21-no2-art1. Acesso em: 25 set. 2024.
APA
Santos, D. A. dos, Baranauskas, J. A., & Tinós, R. (2023). Local rule-based explanations method based on genetic algorithms with fitness sharing. Learning and Nonlinear Models - Journal of the Brazilian Society on Computational Intelligence (SBIC), 21( 2), 4-15. doi:10.21528/lnlm-vol21-no2-art1
NLM
Santos DA dos, Baranauskas JA, Tinós R. Local rule-based explanations method based on genetic algorithms with fitness sharing [Internet]. Learning and Nonlinear Models - Journal of the Brazilian Society on Computational Intelligence (SBIC). 2023 ; 21( 2): 4-15.[citado 2024 set. 25 ] Available from: https://doi.org/10.21528/lnlm-vol21-no2-art1
Vancouver
Santos DA dos, Baranauskas JA, Tinós R. Local rule-based explanations method based on genetic algorithms with fitness sharing [Internet]. Learning and Nonlinear Models - Journal of the Brazilian Society on Computational Intelligence (SBIC). 2023 ; 21( 2): 4-15.[citado 2024 set. 25 ] Available from: https://doi.org/10.21528/lnlm-vol21-no2-art1
Trabalho de evento-anais periodico
First improvement hill climber with linkage learning: on introducing dark gray-box optimization into statistical linkage learning genetic algorithms (2023)
Przewozniczek, Michal Witold; Tinós, Renato ; Komarnicki, Marcin Michal
Source: Proceedings GECCO '23. Conference titles: The Genetic and Evolutionary Computation Conference (GECCO '23). Unidade: FFCLRP
Subjects: ALGORITMOS GENÉTICOS, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRZEWOZNICZEK, Michal Witold e TINÓS, Renato e KOMARNICKI, Marcin Michal. First improvement hill climber with linkage learning: on introducing dark gray-box optimization into statistical linkage learning genetic algorithms. Proceedings GECCO '23. Lisbon: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1145/3583131.3590495. Acesso em: 25 set. 2024. , 2023
APA
Przewozniczek, M. W., Tinós, R., & Komarnicki, M. M. (2023). First improvement hill climber with linkage learning: on introducing dark gray-box optimization into statistical linkage learning genetic algorithms. Proceedings GECCO '23. Lisbon: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1145/3583131.3590495
NLM
Przewozniczek MW, Tinós R, Komarnicki MM. First improvement hill climber with linkage learning: on introducing dark gray-box optimization into statistical linkage learning genetic algorithms [Internet]. Proceedings GECCO '23. 2023 ;[citado 2024 set. 25 ] Available from: https://doi.org/10.1145/3583131.3590495
Vancouver
Przewozniczek MW, Tinós R, Komarnicki MM. First improvement hill climber with linkage learning: on introducing dark gray-box optimization into statistical linkage learning genetic algorithms [Internet]. Proceedings GECCO '23. 2023 ;[citado 2024 set. 25 ] Available from: https://doi.org/10.1145/3583131.3590495

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