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Filtros : "Intelligent Systems 2025. Lecture Notes in Computer Science (LNAI)" Limpar

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USP affiliated authors
- barros, leliane nunes de (1)
- coelho, davi goncalves bezerra (1)
- cozman, fabio gagliardi (1)
- delgado, karina valdivia (1)
- lawand, daniel angelo esteves (1)

Trabalho de evento
Probabilities of causation and root cause analysis with quasi-Markovian models (2026)
Laurentino, Eduardo Rocha; Cozman, Fabio Gagliardi ; Mauá, Denis Deratani ; Lawand, Daniel Angelo Esteves ; Coelho, Davi Goncalves Bezerra; Marques, Lucas Martins
Source: Intelligent Systems 2025. Lecture Notes in Computer Science (LNAI). Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: EP, IME
Subjects: COMPUTAÇÃO EM NUVEM, INFERÊNCIA BAYESIANA E REDES DE CRENÇA, CADEIAS DE MARKOV
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LAURENTINO, Eduardo Rocha et al. Probabilities of causation and root cause analysis with quasi-Markovian models. 2026, Anais.. Cham: Escola Politécnica, Universidade de São Paulo, 2026. p. 362–376. Disponível em: https://doi.org/10.1007/978-3-032-15984-7_25. Acesso em: 24 fev. 2026.
APA
Laurentino, E. R., Cozman, F. G., Mauá, D. D., Lawand, D. A. E., Coelho, D. G. B., & Marques, L. M. (2026). Probabilities of causation and root cause analysis with quasi-Markovian models. In Intelligent Systems 2025. Lecture Notes in Computer Science (LNAI) (Vol. 16180, p. 362–376). Cham: Escola Politécnica, Universidade de São Paulo. doi:10.1007/978-3-032-15984-7_25
NLM
Laurentino ER, Cozman FG, Mauá DD, Lawand DAE, Coelho DGB, Marques LM. Probabilities of causation and root cause analysis with quasi-Markovian models [Internet]. Intelligent Systems 2025. Lecture Notes in Computer Science (LNAI). 2026 ; 16180 362–376.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1007/978-3-032-15984-7_25
Vancouver
Laurentino ER, Cozman FG, Mauá DD, Lawand DAE, Coelho DGB, Marques LM. Probabilities of causation and root cause analysis with quasi-Markovian models [Internet]. Intelligent Systems 2025. Lecture Notes in Computer Science (LNAI). 2026 ; 16180 362–376.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1007/978-3-032-15984-7_25
Trabalho de evento
Dead-end discovery and secure exploration via large language models (2026)
Polar, Christian Jorge Delgado ; Barros, Leliane Nunes de ; Freire, Valdinei ; Delgado, Karina Valdivia
Source: Intelligent Systems 2025. Lecture Notes in Computer Science (LNAI). Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: IME, EACH, FFLCH
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
POLAR, Christian Jorge Delgado et al. Dead-end discovery and secure exploration via large language models. 2026, Anais.. Cham: Instituto de Matemática e Estatística, Universidade de São Paulo, 2026. p. 331–346. Disponível em: https://doi.org/10.1007/978-3-032-15987-8_22. Acesso em: 24 fev. 2026.
APA
Polar, C. J. D., Barros, L. N. de, Freire, V., & Delgado, K. V. (2026). Dead-end discovery and secure exploration via large language models. In Intelligent Systems 2025. Lecture Notes in Computer Science (LNAI) (Vol. 16179, p. 331–346). Cham: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/978-3-032-15987-8_22
NLM
Polar CJD, Barros LN de, Freire V, Delgado KV. Dead-end discovery and secure exploration via large language models [Internet]. Intelligent Systems 2025. Lecture Notes in Computer Science (LNAI). 2026 ; 16179 331–346.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1007/978-3-032-15987-8_22
Vancouver
Polar CJD, Barros LN de, Freire V, Delgado KV. Dead-end discovery and secure exploration via large language models [Internet]. Intelligent Systems 2025. Lecture Notes in Computer Science (LNAI). 2026 ; 16179 331–346.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1007/978-3-032-15987-8_22

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