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Trabalho de evento
The strength of influence ties in stock networks: empirical analysis for portfolio selection (2023)
Ambiel, Thiago ; Castilho, Douglas; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: IEEE International Conference on Data Mining Workshops - ICDMW. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS, REDES COMPLEXAS, MERCADO FINANCEIRO
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ABNT
AMBIEL, Thiago e CASTILHO, Douglas e CARVALHO, André Carlos Ponce de Leon Ferreira de. The strength of influence ties in stock networks: empirical analysis for portfolio selection. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/ICDMW60847.2023.00066. Acesso em: 19 jun. 2024.
APA
Ambiel, T., Castilho, D., & Carvalho, A. C. P. de L. F. de. (2023). The strength of influence ties in stock networks: empirical analysis for portfolio selection. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICDMW60847.2023.00066
NLM
Ambiel T, Castilho D, Carvalho ACP de LF de. The strength of influence ties in stock networks: empirical analysis for portfolio selection [Internet]. Proceedings. 2023 ;[citado 2024 jun. 19 ] Available from: https://doi.org/10.1109/ICDMW60847.2023.00066
Vancouver
Ambiel T, Castilho D, Carvalho ACP de LF de. The strength of influence ties in stock networks: empirical analysis for portfolio selection [Internet]. Proceedings. 2023 ;[citado 2024 jun. 19 ] Available from: https://doi.org/10.1109/ICDMW60847.2023.00066
Trabalho de evento
Feature selection using complex networks to support price trend forecast in energy markets (2023)
Castilho, Douglas; Santos, Moises Rocha dos ; Tinós, Renato ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Paula, Marcos Basile Saviano de; Ladeira, Lucas; Guarnier, Ewerton ; Silva Filho, Donato ; Suiama, Danilo Y; Macedo Junior, Edmur A; Alipio, Lucas P
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), ENERGIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTILHO, Douglas et al. Feature selection using complex networks to support price trend forecast in energy markets. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/IJCNN54540.2023.10191426. Acesso em: 19 jun. 2024.
APA
Castilho, D., Santos, M. R. dos, Tinós, R., Carvalho, A. C. P. de L. F. de, Paula, M. B. S. de, Ladeira, L., et al. (2023). Feature selection using complex networks to support price trend forecast in energy markets. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN54540.2023.10191426
NLM
Castilho D, Santos MR dos, Tinós R, Carvalho ACP de LF de, Paula MBS de, Ladeira L, Guarnier E, Silva Filho D, Suiama DY, Macedo Junior EA, Alipio LP. Feature selection using complex networks to support price trend forecast in energy markets [Internet]. Proceedings. 2023 ;[citado 2024 jun. 19 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191426
Vancouver
Castilho D, Santos MR dos, Tinós R, Carvalho ACP de LF de, Paula MBS de, Ladeira L, Guarnier E, Silva Filho D, Suiama DY, Macedo Junior EA, Alipio LP. Feature selection using complex networks to support price trend forecast in energy markets [Internet]. Proceedings. 2023 ;[citado 2024 jun. 19 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191426
Artigo de periodico
Feature extraction approaches for biological sequences: a comparative study of mathematical features (2021)
Bonidia, Robson Parmezan ; Sampaio, Lucas Dias Hiera ; Domingues, Douglas S ; Paschoal, Alexandre Rossi ; Lopes, Fabrício Martins ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Sanches, Danilo Sipoli
Source: Briefings in Bioinformatics. Unidade: ICMC
Subjects: BIOINFORMÁTICA, GENÔMICA, REDES COMPLEXAS, ENTROPIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BONIDIA, Robson Parmezan et al. Feature extraction approaches for biological sequences: a comparative study of mathematical features. Briefings in Bioinformatics, v. 22, n. 5, p. Se 2021, 2021Tradução . . Disponível em: https://doi.org/10.1093/bib/bbab011. Acesso em: 19 jun. 2024.
APA
Bonidia, R. P., Sampaio, L. D. H., Domingues, D. S., Paschoal, A. R., Lopes, F. M., Carvalho, A. C. P. de L. F. de, & Sanches, D. S. (2021). Feature extraction approaches for biological sequences: a comparative study of mathematical features. Briefings in Bioinformatics, 22( 5), Se 2021. doi:10.1093/bib/bbab011
NLM
Bonidia RP, Sampaio LDH, Domingues DS, Paschoal AR, Lopes FM, Carvalho ACP de LF de, Sanches DS. Feature extraction approaches for biological sequences: a comparative study of mathematical features [Internet]. Briefings in Bioinformatics. 2021 ; 22( 5): Se 2021.[citado 2024 jun. 19 ] Available from: https://doi.org/10.1093/bib/bbab011
Vancouver
Bonidia RP, Sampaio LDH, Domingues DS, Paschoal AR, Lopes FM, Carvalho ACP de LF de, Sanches DS. Feature extraction approaches for biological sequences: a comparative study of mathematical features [Internet]. Briefings in Bioinformatics. 2021 ; 22( 5): Se 2021.[citado 2024 jun. 19 ] Available from: https://doi.org/10.1093/bib/bbab011
Trabalho de evento-anais periodico
Combining mutation and gene network data in a machine learning approach for false-positive cancer driver gene discovery (2020)
Cutigi, Jorge Francisco ; Evangelista, Renato Feijo ; Ramos, Rodrigo Henrique ; Ferreira, Cynthia de Oliveira Lage ; Evangelista, Adriane Feijó ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Simão, Adenilso da Silva
Source: Lecture Notes in Bioinformatics. Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidade: ICMC
Subjects: BIOINFORMÁTICA, REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, GENÔMICA, NEOPLASIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUTIGI, Jorge Francisco et al. Combining mutation and gene network data in a machine learning approach for false-positive cancer driver gene discovery. Lecture Notes in Bioinformatics. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-65775-8_8. Acesso em: 19 jun. 2024. , 2020
APA
Cutigi, J. F., Evangelista, R. F., Ramos, R. H., Ferreira, C. de O. L., Evangelista, A. F., Carvalho, A. C. P. de L. F. de, & Simão, A. da S. (2020). Combining mutation and gene network data in a machine learning approach for false-positive cancer driver gene discovery. Lecture Notes in Bioinformatics. Cham: Springer. doi:10.1007/978-3-030-65775-8_8
NLM
Cutigi JF, Evangelista RF, Ramos RH, Ferreira C de OL, Evangelista AF, Carvalho ACP de LF de, Simão A da S. Combining mutation and gene network data in a machine learning approach for false-positive cancer driver gene discovery [Internet]. Lecture Notes in Bioinformatics. 2020 ; 12558 81-92.[citado 2024 jun. 19 ] Available from: https://doi.org/10.1007/978-3-030-65775-8_8
Vancouver
Cutigi JF, Evangelista RF, Ramos RH, Ferreira C de OL, Evangelista AF, Carvalho ACP de LF de, Simão A da S. Combining mutation and gene network data in a machine learning approach for false-positive cancer driver gene discovery [Internet]. Lecture Notes in Bioinformatics. 2020 ; 12558 81-92.[citado 2024 jun. 19 ] Available from: https://doi.org/10.1007/978-3-030-65775-8_8
Artigo de periodico
Reconstructing commuters network using machine learning and urban indicators (2019)
Spadon, Gabriel ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Rodrigues Junior, José Fernando ; Alves, Luiz Gustavo de Andrade
Source: Scientific Reports. Unidade: ICMC
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, MOBILIDADE URBANA, TRANSPORTE INTERURBANO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SPADON, Gabriel et al. Reconstructing commuters network using machine learning and urban indicators. Scientific Reports, v. 9, p. 11801-1-11801-13, 2019Tradução . . Disponível em: https://doi.org/10.1038/s41598-019-48295-x. Acesso em: 19 jun. 2024.
APA
Spadon, G., Carvalho, A. C. P. de L. F. de, Rodrigues Junior, J. F., & Alves, L. G. de A. (2019). Reconstructing commuters network using machine learning and urban indicators. Scientific Reports, 9, 11801-1-11801-13. doi:10.1038/s41598-019-48295-x
NLM
Spadon G, Carvalho ACP de LF de, Rodrigues Junior JF, Alves LG de A. Reconstructing commuters network using machine learning and urban indicators [Internet]. Scientific Reports. 2019 ; 9 11801-1-11801-13.[citado 2024 jun. 19 ] Available from: https://doi.org/10.1038/s41598-019-48295-x
Vancouver
Spadon G, Carvalho ACP de LF de, Rodrigues Junior JF, Alves LG de A. Reconstructing commuters network using machine learning and urban indicators [Internet]. Scientific Reports. 2019 ; 9 11801-1-11801-13.[citado 2024 jun. 19 ] Available from: https://doi.org/10.1038/s41598-019-48295-x

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