Tinarrage, Raphaël 
; Ennes, Henrique; Resck, Lucas ; Gomes, Lucas T; Ponciano, Jean Roberto ; Poco, Jorge
Source: Artificial Intelligence and Law. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, PROCESSAMENTO DE LINGUAGEM NATURAL, RECUPERAÇÃO DA INFORMAÇÃO, SÚMULA VINCULANTE, TRIBUNAL SUPREMO
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TINARRAGE, Raphaël et al. Empirical analysis of binding precedent efficiency in Brazilian Supreme Court via case classification. Artificial Intelligence and Law, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10506-025-09458-6. Acesso em: 13 fev. 2026.APA
Tinarrage, R., Ennes, H., Resck, L., Gomes, L. T., Ponciano, J. R., & Poco, J. (2025). Empirical analysis of binding precedent efficiency in Brazilian Supreme Court via case classification. Artificial Intelligence and Law. doi:10.1007/s10506-025-09458-6NLM
Tinarrage R, Ennes H, Resck L, Gomes LT, Ponciano JR, Poco J. Empirical analysis of binding precedent efficiency in Brazilian Supreme Court via case classification [Internet]. Artificial Intelligence and Law. 2025 ;[citado 2026 fev. 13 ] Available from: https://doi.org/10.1007/s10506-025-09458-6Vancouver
Tinarrage R, Ennes H, Resck L, Gomes LT, Ponciano JR, Poco J. Empirical analysis of binding precedent efficiency in Brazilian Supreme Court via case classification [Internet]. Artificial Intelligence and Law. 2025 ;[citado 2026 fev. 13 ] Available from: https://doi.org/10.1007/s10506-025-09458-6
