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Artigo de periodico
Stock market trend detection and automatic decision-making through a network-based classification model (2021)
Colliri, Tiago Santos ; Liang, Zhao
Source: Natural Computing. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, BOLSA DE VALORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COLLIRI, Tiago Santos e LIANG, Zhao. Stock market trend detection and automatic decision-making through a network-based classification model. Natural Computing, v. 20, n. 4, p. 791-804, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11047-020-09829-9. Acesso em: 28 abr. 2024.
APA
Colliri, T. S., & Liang, Z. (2021). Stock market trend detection and automatic decision-making through a network-based classification model. Natural Computing, 20( 4), 791-804. doi:10.1007/s11047-020-09829-9
NLM
Colliri TS, Liang Z. Stock market trend detection and automatic decision-making through a network-based classification model [Internet]. Natural Computing. 2021 ; 20( 4): 791-804.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1007/s11047-020-09829-9
Vancouver
Colliri TS, Liang Z. Stock market trend detection and automatic decision-making through a network-based classification model [Internet]. Natural Computing. 2021 ; 20( 4): 791-804.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1007/s11047-020-09829-9
Trabalho de evento-anais periodico
Particle competition for unbalanced community detection in complex networks (2020)
Martins, Luan Vinicius Carvalho; Liang, Zhao
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: FFCLRP, ICMC
Assunto: REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTINS, Luan Vinicius Carvalho e LIANG, Zhao. Particle competition for unbalanced community detection in complex networks. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61380-8_22. Acesso em: 28 abr. 2024. , 2020
APA
Martins, L. V. C., & Liang, Z. (2020). Particle competition for unbalanced community detection in complex networks. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61380-8_22
NLM
Martins LVC, Liang Z. Particle competition for unbalanced community detection in complex networks [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 322-336.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_22
Vancouver
Martins LVC, Liang Z. Particle competition for unbalanced community detection in complex networks [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 322-336.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_22
Artigo de periodico
Fine tuning of polymer content for enhanced structure and luminescent properties of Eu3+: siloxane–poly(methyl methacrylate) hybrids to be applied in photonics (2019)
Jesus, Filipe Augusto de; Santana, Barbara Vasconcelos; Bispo, Giordano Frederico da Cunha; Silva Filho, Cícero Inácio da; Alves Junior, Severino; Valerio, Mario Ernesto Giroldo; Caiut, José Maurício Almeida ; Sarmento, Victor Hugo Vitorino
Source: Polymer. Unidade: FFCLRP
Subjects: LUMINESCÊNCIA, POLÍMEROS (MATERIAIS), ÍONS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JESUS, Filipe Augusto de et al. Fine tuning of polymer content for enhanced structure and luminescent properties of Eu3+: siloxane–poly(methyl methacrylate) hybrids to be applied in photonics. Polymer, v. 181, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.polymer.2019.121767. Acesso em: 28 abr. 2024.
APA
Jesus, F. A. de, Santana, B. V., Bispo, G. F. da C., Silva Filho, C. I. da, Alves Junior, S., Valerio, M. E. G., et al. (2019). Fine tuning of polymer content for enhanced structure and luminescent properties of Eu3+: siloxane–poly(methyl methacrylate) hybrids to be applied in photonics. Polymer, 181. doi:10.1016/j.polymer.2019.121767
NLM
Jesus FA de, Santana BV, Bispo GF da C, Silva Filho CI da, Alves Junior S, Valerio MEG, Caiut JMA, Sarmento VHV. Fine tuning of polymer content for enhanced structure and luminescent properties of Eu3+: siloxane–poly(methyl methacrylate) hybrids to be applied in photonics [Internet]. Polymer. 2019 ; 181[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.polymer.2019.121767
Vancouver
Jesus FA de, Santana BV, Bispo GF da C, Silva Filho CI da, Alves Junior S, Valerio MEG, Caiut JMA, Sarmento VHV. Fine tuning of polymer content for enhanced structure and luminescent properties of Eu3+: siloxane–poly(methyl methacrylate) hybrids to be applied in photonics [Internet]. Polymer. 2019 ; 181[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.polymer.2019.121767
Artigo de periodico
Analyzing the Bills-Voting dynamics and predicting corruption-convictions among brazilian congressmen through temporal networks (2019)
Colliri, Tiago Santos ; Liang, Zhao
Source: Scientific Reports. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, ANÁLISE DE SÉRIES TEMPORAIS, CONGRESSO NACIONAL, CORRUPÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COLLIRI, Tiago Santos e LIANG, Zhao. Analyzing the Bills-Voting dynamics and predicting corruption-convictions among brazilian congressmen through temporal networks. Scientific Reports, v. No 2019, p. 16754-1-16754-11, 2019Tradução . . Disponível em: https://doi.org/10.1038/s41598-019-53252-9. Acesso em: 28 abr. 2024.
APA
Colliri, T. S., & Liang, Z. (2019). Analyzing the Bills-Voting dynamics and predicting corruption-convictions among brazilian congressmen through temporal networks. Scientific Reports, No 2019, 16754-1-16754-11. doi:10.1038/s41598-019-53252-9
NLM
Colliri TS, Liang Z. Analyzing the Bills-Voting dynamics and predicting corruption-convictions among brazilian congressmen through temporal networks [Internet]. Scientific Reports. 2019 ; No 2019 16754-1-16754-11.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1038/s41598-019-53252-9
Vancouver
Colliri TS, Liang Z. Analyzing the Bills-Voting dynamics and predicting corruption-convictions among brazilian congressmen through temporal networks [Internet]. Scientific Reports. 2019 ; No 2019 16754-1-16754-11.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1038/s41598-019-53252-9

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