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Artigo de periodico
Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII (2021)
Lopes, Tiago José da Silva ; Rios, Ricardo Araújo ; Nogueira, Tatiane ; Mello, Rodrigo Fernandes de
Source: Scientific Reports. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, HEMOFILIA, PROTEÍNAS
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ABNT
LOPES, Tiago José da Silva et al. Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII. Scientific Reports, v. 11, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1038/s41598-021-92201-3. Acesso em: 03 nov. 2024.
APA
Lopes, T. J. da S., Rios, R. A., Nogueira, T., & Mello, R. F. de. (2021). Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII. Scientific Reports, 11, 1-11. doi:10.1038/s41598-021-92201-3
NLM
Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII [Internet]. Scientific Reports. 2021 ; 11 1-11.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1038/s41598-021-92201-3
Vancouver
Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII [Internet]. Scientific Reports. 2021 ; 11 1-11.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1038/s41598-021-92201-3
Artigo de periodico
Prediction of hemophilia A severity using a small-input machine-learning framework (2021)
Lopes, Tiago José da Silva ; Rios, Ricardo Araújo ; Nogueira, Tatiane ; Mello, Rodrigo Fernandes de
Source: npj Systems Biology and Applications. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, HEMOFILIA, PROTEÍNAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Tiago José da Silva et al. Prediction of hemophilia A severity using a small-input machine-learning framework. npj Systems Biology and Applications, v. 7, p. 1-8, 2021Tradução . . Disponível em: https://doi.org/10.1038/s41540-021-00183-9. Acesso em: 03 nov. 2024.
APA
Lopes, T. J. da S., Rios, R. A., Nogueira, T., & Mello, R. F. de. (2021). Prediction of hemophilia A severity using a small-input machine-learning framework. npj Systems Biology and Applications, 7, 1-8. doi:10.1038/s41540-021-00183-9
NLM
Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Prediction of hemophilia A severity using a small-input machine-learning framework [Internet]. npj Systems Biology and Applications. 2021 ; 7 1-8.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1038/s41540-021-00183-9
Vancouver
Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Prediction of hemophilia A severity using a small-input machine-learning framework [Internet]. npj Systems Biology and Applications. 2021 ; 7 1-8.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1038/s41540-021-00183-9
Artigo de periodico
Country transition index based on hierarchical clustering to predict next COVID-19 waves (2021)
Rios, Ricardo Araújo ; Nogueira, Tatiane ; Coimbra, Danilo Barbosa; Lopes, Tiago José da Silva ; Abraham, Ajith ; Mello, Rodrigo Fernandes de
Source: Scientific Reports. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, INTELIGÊNCIA ARTIFICIAL, SURTOS DE DOENÇAS, COVID-19
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ABNT
RIOS, Ricardo Araújo et al. Country transition index based on hierarchical clustering to predict next COVID-19 waves. Scientific Reports, v. 11, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1038/s41598-021-94661-z. Acesso em: 03 nov. 2024.
APA
Rios, R. A., Nogueira, T., Coimbra, D. B., Lopes, T. J. da S., Abraham, A., & Mello, R. F. de. (2021). Country transition index based on hierarchical clustering to predict next COVID-19 waves. Scientific Reports, 11, 1-13. doi:10.1038/s41598-021-94661-z
NLM
Rios RA, Nogueira T, Coimbra DB, Lopes TJ da S, Abraham A, Mello RF de. Country transition index based on hierarchical clustering to predict next COVID-19 waves [Internet]. Scientific Reports. 2021 ; 11 1-13.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1038/s41598-021-94661-z
Vancouver
Rios RA, Nogueira T, Coimbra DB, Lopes TJ da S, Abraham A, Mello RF de. Country transition index based on hierarchical clustering to predict next COVID-19 waves [Internet]. Scientific Reports. 2021 ; 11 1-13.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1038/s41598-021-94661-z
Artigo de periodico
Modeling temporal activity to detect anomalous behavior in social media (2017)
Costa, Alceu Ferraz; Yamaguchi, Yuto; Traina, Agma Juci Machado ; Traina Junior, Caetano ; Faloutsos, Christos
Source: ACM Transactions on Knowledge Discovery from Data. Unidade: ICMC
Subjects: BANCO DE DADOS, MINERAÇÃO DE DADOS, MÍDIAS SOCIAIS
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ABNT
COSTA, Alceu Ferraz et al. Modeling temporal activity to detect anomalous behavior in social media. ACM Transactions on Knowledge Discovery from Data, v. 11, n. 4. p. 49:1-49:23, 2017Tradução . . Disponível em: https://doi.org/10.1145/3064884. Acesso em: 03 nov. 2024.
APA
Costa, A. F., Yamaguchi, Y., Traina, A. J. M., Traina Junior, C., & Faloutsos, C. (2017). Modeling temporal activity to detect anomalous behavior in social media. ACM Transactions on Knowledge Discovery from Data, 11( 4. p. 49:1-49:23). doi:10.1145/3064884
NLM
Costa AF, Yamaguchi Y, Traina AJM, Traina Junior C, Faloutsos C. Modeling temporal activity to detect anomalous behavior in social media [Internet]. ACM Transactions on Knowledge Discovery from Data. 2017 ; 11( 4. p. 49:1-49:23):[citado 2024 nov. 03 ] Available from: https://doi.org/10.1145/3064884
Vancouver
Costa AF, Yamaguchi Y, Traina AJM, Traina Junior C, Faloutsos C. Modeling temporal activity to detect anomalous behavior in social media [Internet]. ACM Transactions on Knowledge Discovery from Data. 2017 ; 11( 4. p. 49:1-49:23):[citado 2024 nov. 03 ] Available from: https://doi.org/10.1145/3064884
Trabalho de evento
Wizard of Oz vs autonomous: children's perception changes according to robot's operation condition (2017)
Tozadore, Daniel; Pinto, Adam; Romero, Roseli Aparecida Francelin ; Trovato, Gabriele
Source: Proceedings. Conference titles: IEEE International Symposium on Robot and Human Interactive Communication - RO-MAN. Unidade: ICMC
Subjects: ROBÓTICA, ROBÔS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOZADORE, Daniel et al. Wizard of Oz vs autonomous: children's perception changes according to robot's operation condition. 2017, Anais.. Los Alamitos: IEEE, 2017. Disponível em: https://doi.org/10.1109/ROMAN.2017.8172374. Acesso em: 03 nov. 2024.
APA
Tozadore, D., Pinto, A., Romero, R. A. F., & Trovato, G. (2017). Wizard of Oz vs autonomous: children's perception changes according to robot's operation condition. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ROMAN.2017.8172374
NLM
Tozadore D, Pinto A, Romero RAF, Trovato G. Wizard of Oz vs autonomous: children's perception changes according to robot's operation condition [Internet]. Proceedings. 2017 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ROMAN.2017.8172374
Vancouver
Tozadore D, Pinto A, Romero RAF, Trovato G. Wizard of Oz vs autonomous: children's perception changes according to robot's operation condition [Internet]. Proceedings. 2017 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ROMAN.2017.8172374
Artigo de periodico-carta/editorial
Mobile sensing and social computing [Editorial] (2016)
Bajo, Javier; Campbell, Andrew T; Omatu, Sigeru; Carvalho, André Carlos Ponce de Leon Ferreira de ; Corchado, Juan M
Source: International Journal of Distributed Sensor Networks. Unidade: ICMC
Assunto: COMPUTAÇÃO MÓVEL
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ABNT
BAJO, Javier et al. Mobile sensing and social computing [Editorial]. International Journal of Distributed Sensor Networks. New York: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1177/1550147716665512. Acesso em: 03 nov. 2024. , 2016
APA
Bajo, J., Campbell, A. T., Omatu, S., Carvalho, A. C. P. de L. F. de, & Corchado, J. M. (2016). Mobile sensing and social computing [Editorial]. International Journal of Distributed Sensor Networks. New York: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1177/1550147716665512
NLM
Bajo J, Campbell AT, Omatu S, Carvalho ACP de LF de, Corchado JM. Mobile sensing and social computing [Editorial] [Internet]. International Journal of Distributed Sensor Networks. 2016 ; 12( 8): 1-2.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1177/1550147716665512
Vancouver
Bajo J, Campbell AT, Omatu S, Carvalho ACP de LF de, Corchado JM. Mobile sensing and social computing [Editorial] [Internet]. International Journal of Distributed Sensor Networks. 2016 ; 12( 8): 1-2.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1177/1550147716665512
Trabalho de evento
Internet course delivery: making it easier and more effective (2000)
Anderson, D; Harvel, L; Hayes, M; Ishiguro, Y; Jackson, J; Pimentel, Maria da Graça Campos
Source: Proceedings. Conference titles: IEEE International Conference on Multimedia an Expo - ICME. Unidade: ICMC
Assunto: MULTIMÍDIA INTERATIVA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDERSON, D et al. Internet course delivery: making it easier and more effective. 2000, Anais.. Piscataway: IEEE, 2000. Disponível em: https://doi.org/10.1109/ICME.2000.869551. Acesso em: 03 nov. 2024.
APA
Anderson, D., Harvel, L., Hayes, M., Ishiguro, Y., Jackson, J., & Pimentel, M. da G. C. (2000). Internet course delivery: making it easier and more effective. In Proceedings. Piscataway: IEEE. doi:10.1109/ICME.2000.869551
NLM
Anderson D, Harvel L, Hayes M, Ishiguro Y, Jackson J, Pimentel M da GC. Internet course delivery: making it easier and more effective [Internet]. Proceedings. 2000 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ICME.2000.869551
Vancouver
Anderson D, Harvel L, Hayes M, Ishiguro Y, Jackson J, Pimentel M da GC. Internet course delivery: making it easier and more effective [Internet]. Proceedings. 2000 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ICME.2000.869551

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