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Dissertação (Mestrado)
Ranking decisions in Brazilian Supreme Court: a study of network of decisions robustness and leading cases identification (2023)
Souza, Jackson José de ; Finger, Marcelo (Orientador)
Unidade: IME
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, CITAÇÃO (PROCESSO PENAL), DECISÃO JUDICIAL, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Jackson José de. Ranking decisions in Brazilian Supreme Court: a study of network of decisions robustness and leading cases identification. 2023. Dissertação (Mestrado) – Universidade de São Paulo, São Paulo, 2023. Disponível em: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-12032025-105740/. Acesso em: 25 jan. 2026.
APA
Souza, J. J. de. (2023). Ranking decisions in Brazilian Supreme Court: a study of network of decisions robustness and leading cases identification (Dissertação (Mestrado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/45/45134/tde-12032025-105740/
NLM
Souza JJ de. Ranking decisions in Brazilian Supreme Court: a study of network of decisions robustness and leading cases identification [Internet]. 2023 ;[citado 2026 jan. 25 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-12032025-105740/
Vancouver
Souza JJ de. Ranking decisions in Brazilian Supreme Court: a study of network of decisions robustness and leading cases identification [Internet]. 2023 ;[citado 2026 jan. 25 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-12032025-105740/
Artigo de periodico
Extractive multi-document summarization using multilayer networks (2018)
Tohalino, Jorge Valverde; Amancio, Diego Raphael
Source: Physica A : Statistical Mechanics and its Applications. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOHALINO, Jorge Valverde e AMANCIO, Diego Raphael. Extractive multi-document summarization using multilayer networks. Physica A : Statistical Mechanics and its Applications, v. 503, p. 526-539, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2018.03.013. Acesso em: 25 jan. 2026.
APA
Tohalino, J. V., & Amancio, D. R. (2018). Extractive multi-document summarization using multilayer networks. Physica A : Statistical Mechanics and its Applications, 503, 526-539. doi:10.1016/j.physa.2018.03.013
NLM
Tohalino JV, Amancio DR. Extractive multi-document summarization using multilayer networks [Internet]. Physica A : Statistical Mechanics and its Applications. 2018 ; 503 526-539.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1016/j.physa.2018.03.013
Vancouver
Tohalino JV, Amancio DR. Extractive multi-document summarization using multilayer networks [Internet]. Physica A : Statistical Mechanics and its Applications. 2018 ; 503 526-539.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1016/j.physa.2018.03.013
Artigo de periodico
Organizational data classification based on the importance concept of complex networks (2018)
Carneiro, Murillo Guimarães; Liang, Zhao
Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: FFCLRP
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARNEIRO, Murillo Guimarães e LIANG, Zhao. Organizational data classification based on the importance concept of complex networks. IEEE Transactions on Neural Networks and Learning Systems, v. 29, n. 8, p. 3361-3373, 2018Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2017.2726082. Acesso em: 25 jan. 2026.
APA
Carneiro, M. G., & Liang, Z. (2018). Organizational data classification based on the importance concept of complex networks. IEEE Transactions on Neural Networks and Learning Systems, 29( 8), 3361-3373. doi:10.1109/TNNLS.2017.2726082
NLM
Carneiro MG, Liang Z. Organizational data classification based on the importance concept of complex networks [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2018 ; 29( 8): 3361-3373.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1109/TNNLS.2017.2726082
Vancouver
Carneiro MG, Liang Z. Organizational data classification based on the importance concept of complex networks [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2018 ; 29( 8): 3361-3373.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1109/TNNLS.2017.2726082
Trabalho de evento
Using PageRank to reveal relevant issues to support decision-making on open source projects (2018)
Caetano, Alessandro; Leite, Leonardo; Meirelles, Paulo ; Neri, Hilmer; Kon, Fábio ; Travassos, Guilherme Horta
Source: Open Source Systems: Enterprise Software and Solutions. Conference titles: OSS: IFIP International Conference on Open Source Systems. Unidade: IME
Subjects: QUALIDADE DE SOFTWARE, SOFTWARE LIVRE, TOMADA DE DECISÃO, ENGENHARIA DE SOFTWARE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAETANO, Alessandro et al. Using PageRank to reveal relevant issues to support decision-making on open source projects. 2018, Anais.. Cham: Springer, 2018. Disponível em: https://doi.org/10.1007/978-3-319-92375-8_9. Acesso em: 25 jan. 2026.
APA
Caetano, A., Leite, L., Meirelles, P., Neri, H., Kon, F., & Travassos, G. H. (2018). Using PageRank to reveal relevant issues to support decision-making on open source projects. In Open Source Systems: Enterprise Software and Solutions. Cham: Springer. doi:10.1007/978-3-319-92375-8_9
NLM
Caetano A, Leite L, Meirelles P, Neri H, Kon F, Travassos GH. Using PageRank to reveal relevant issues to support decision-making on open source projects [Internet]. Open Source Systems: Enterprise Software and Solutions. 2018 ;[citado 2026 jan. 25 ] Available from: https://doi.org/10.1007/978-3-319-92375-8_9
Vancouver
Caetano A, Leite L, Meirelles P, Neri H, Kon F, Travassos GH. Using PageRank to reveal relevant issues to support decision-making on open source projects [Internet]. Open Source Systems: Enterprise Software and Solutions. 2018 ;[citado 2026 jan. 25 ] Available from: https://doi.org/10.1007/978-3-319-92375-8_9

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