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Artigo de periodico
Benchmarks for pirá 2.0, a reading comprehension dataset about the ocean, the Brazilian Coast, and climate change (2024)
Pirozelli, Paulo ; José, Marcos Menon ; Silveira, Igor Cataneo ; Cação, Flávio Nakasato ; Peres, Sarajane Marques ; Brandão, Anarosa Alves Franco ; Costa, Anna Helena Reali ; Cozman, Fabio Gagliardi
Source: Data Intelligence. Unidades: EACH, EP, IME
Assunto: REFERÊNCIA E CONSULTA
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ABNT
PIROZELLI, Paulo et al. Benchmarks for pirá 2.0, a reading comprehension dataset about the ocean, the Brazilian Coast, and climate change. Data Intelligence, v. 6, n. 1, p. 29–63, 2024Tradução . . Disponível em: http://dx.doi.org/10.1162/dint_a_00245. Acesso em: 26 set. 2024.
APA
Pirozelli, P., José, M. M., Silveira, I. C., Cação, F. N., Peres, S. M., Brandão, A. A. F., et al. (2024). Benchmarks for pirá 2.0, a reading comprehension dataset about the ocean, the Brazilian Coast, and climate change. Data Intelligence, 6( 1), 29–63. doi:10.1162/dint_a_00245
NLM
Pirozelli P, José MM, Silveira IC, Cação FN, Peres SM, Brandão AAF, Costa AHR, Cozman FG. Benchmarks for pirá 2.0, a reading comprehension dataset about the ocean, the Brazilian Coast, and climate change [Internet]. Data Intelligence. 2024 ; 6( 1): 29–63.[citado 2024 set. 26 ] Available from: http://dx.doi.org/10.1162/dint_a_00245
Vancouver
Pirozelli P, José MM, Silveira IC, Cação FN, Peres SM, Brandão AAF, Costa AHR, Cozman FG. Benchmarks for pirá 2.0, a reading comprehension dataset about the ocean, the Brazilian Coast, and climate change [Internet]. Data Intelligence. 2024 ; 6( 1): 29–63.[citado 2024 set. 26 ] Available from: http://dx.doi.org/10.1162/dint_a_00245
Trabalho de evento-anais periodico
Specifying credal sets with probabilistic answer set programming (2023)
Mauá, Denis Deratani ; Cozman, Fabio Gagliardi
Source: Proceedings of Machine Learning Research. Conference titles: International Symposium on Imprecise Probability: Theories and Applications - ISIPTA. Unidades: IME, EP
Assunto: PROGRAMAÇÃO LÓGICA
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ABNT
MAUÁ, Denis Deratani e COZMAN, Fabio Gagliardi. Specifying credal sets with probabilistic answer set programming. Proceedings of Machine Learning Research. Brookline: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://proceedings.mlr.press/v215/maua23a/maua23a.pdf. Acesso em: 26 set. 2024. , 2023
APA
Mauá, D. D., & Cozman, F. G. (2023). Specifying credal sets with probabilistic answer set programming. Proceedings of Machine Learning Research. Brookline: Instituto de Matemática e Estatística, Universidade de São Paulo. Recuperado de https://proceedings.mlr.press/v215/maua23a/maua23a.pdf
NLM
Mauá DD, Cozman FG. Specifying credal sets with probabilistic answer set programming [Internet]. Proceedings of Machine Learning Research. 2023 ; 215 321-332.[citado 2024 set. 26 ] Available from: https://proceedings.mlr.press/v215/maua23a/maua23a.pdf
Vancouver
Mauá DD, Cozman FG. Specifying credal sets with probabilistic answer set programming [Internet]. Proceedings of Machine Learning Research. 2023 ; 215 321-332.[citado 2024 set. 26 ] Available from: https://proceedings.mlr.press/v215/maua23a/maua23a.pdf
Trabalho de evento
Assessing good, bad and ugly arguments generated by ChatGPT: a new dataset, its methodology and associated tasks (2023)
Rocha, Victor Hugo Nascimento ; Silveira, Igor Cataneo ; Pirozelli, Paulo ; Mauá, Denis Deratani ; Cozman, Fabio Gagliardi
Unidades: IME, EP, IEA
Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSAMENTO DE LINGUAGEM NATURAL, ARGUMENTAÇÃO
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ABNT
ROCHA, Victor Hugo Nascimento et al. Assessing good, bad and ugly arguments generated by ChatGPT: a new dataset, its methodology and associated tasks. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-49008-8_34. Acesso em: 26 set. 2024.
APA
Rocha, V. H. N., Silveira, I. C., Pirozelli, P., Mauá, D. D., & Cozman, F. G. (2023). Assessing good, bad and ugly arguments generated by ChatGPT: a new dataset, its methodology and associated tasks. In . Cham: Springer. doi:10.1007/978-3-031-49008-8_34
NLM
Rocha VHN, Silveira IC, Pirozelli P, Mauá DD, Cozman FG. Assessing good, bad and ugly arguments generated by ChatGPT: a new dataset, its methodology and associated tasks [Internet]. 2023 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/978-3-031-49008-8_34
Vancouver
Rocha VHN, Silveira IC, Pirozelli P, Mauá DD, Cozman FG. Assessing good, bad and ugly arguments generated by ChatGPT: a new dataset, its methodology and associated tasks [Internet]. 2023 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/978-3-031-49008-8_34
Trabalho de evento
Integrating question answering and text-to-SQL in portuguese (2022)
José, Marcos Menon; José, Marcelo Archanjo ; Mauá, Denis Deratani ; Cozman, Fabio Gagliardi
Source: Proceedings. Conference titles: International Conference on Computational Processing of the Portuguese Language - PROPOR. Unidades: IME, EP
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL
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ABNT
JOSÉ, Marcos Menon et al. Integrating question answering and text-to-SQL in portuguese. 2022, Anais.. Cham: Springer, 2022. Disponível em: https://doi.org/10.1007/978-3-030-98305-5_26. Acesso em: 26 set. 2024.
APA
José, M. M., José, M. A., Mauá, D. D., & Cozman, F. G. (2022). Integrating question answering and text-to-SQL in portuguese. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-98305-5_26
NLM
José MM, José MA, Mauá DD, Cozman FG. Integrating question answering and text-to-SQL in portuguese [Internet]. Proceedings. 2022 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_26
Vancouver
José MM, José MA, Mauá DD, Cozman FG. Integrating question answering and text-to-SQL in portuguese [Internet]. Proceedings. 2022 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_26
Trabalho de evento
Automatic lung segmentation with seed generation and ROIFT algorithm for the creation of anatomical atlas (2022)
Choi, Jungeui ; Ueda, Edson Kenji ; Duran, Guilherme Cortez ; Miranda, Paulo André Vechiatto de ; Tsuzuki, Marcos de Sales Guerra
Source: Proceedings. Conference titles: International Conference on Geometry and Graphics - ICGG. Unidades: IME, EP
Subjects: ANATOMIA, COMPUTAÇÃO APLICADA, PROCESSAMENTO DE IMAGENS
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ABNT
CHOI, Jungeui et al. Automatic lung segmentation with seed generation and ROIFT algorithm for the creation of anatomical atlas. 2022, Anais.. Cham: Springer, 2022. Disponível em: https://doi.org/10.1007/978-3-031-13588-0_55. Acesso em: 26 set. 2024.
APA
Choi, J., Ueda, E. K., Duran, G. C., Miranda, P. A. V. de, & Tsuzuki, M. de S. G. (2022). Automatic lung segmentation with seed generation and ROIFT algorithm for the creation of anatomical atlas. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-13588-0_55
NLM
Choi J, Ueda EK, Duran GC, Miranda PAV de, Tsuzuki M de SG. Automatic lung segmentation with seed generation and ROIFT algorithm for the creation of anatomical atlas [Internet]. Proceedings. 2022 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/978-3-031-13588-0_55
Vancouver
Choi J, Ueda EK, Duran GC, Miranda PAV de, Tsuzuki M de SG. Automatic lung segmentation with seed generation and ROIFT algorithm for the creation of anatomical atlas [Internet]. Proceedings. 2022 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/978-3-031-13588-0_55
Trabalho de evento
Prediction of environmental conditions for maritime navigation using a network of sensors: a practical application of graph neural networks (2020)
Deberaldini Netto, Caio Fabrício; Tannuri, Eduardo Aoun ; Mauá, Denis Deratani ; Cozman, Fabio Gagliardi
Source: Proceedings. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidades: EP, IME
Subjects: REDES NEURAIS, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
DEBERALDINI NETTO, Caio Fabrício et al. Prediction of environmental conditions for maritime navigation using a network of sensors: a practical application of graph neural networks. 2020, Anais.. Porto Alegre: SBC, 2020. Disponível em: https://doi.org/10.5753/kdmile.2020.11981. Acesso em: 26 set. 2024.
APA
Deberaldini Netto, C. F., Tannuri, E. A., Mauá, D. D., & Cozman, F. G. (2020). Prediction of environmental conditions for maritime navigation using a network of sensors: a practical application of graph neural networks. In Proceedings. Porto Alegre: SBC. doi:10.5753/kdmile.2020.11981
NLM
Deberaldini Netto CF, Tannuri EA, Mauá DD, Cozman FG. Prediction of environmental conditions for maritime navigation using a network of sensors: a practical application of graph neural networks [Internet]. Proceedings. 2020 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.5753/kdmile.2020.11981
Vancouver
Deberaldini Netto CF, Tannuri EA, Mauá DD, Cozman FG. Prediction of environmental conditions for maritime navigation using a network of sensors: a practical application of graph neural networks [Internet]. Proceedings. 2020 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.5753/kdmile.2020.11981
Trabalho de evento-resumo
Técnicas de modelagem do sistema circulatório sanguíneo humano (2018)
Ribeiro, Sonia Alves; Miyagi, Paulo Eigi
Source: SIICUSP 2018: resumos. Conference titles: Simpósio Internacional de Iniciação Científica e Tecnológica da USP - SIICUSP. Unidades: EP, IME
Subjects: CIRCULAÇÃO SANGUÍNEA, PESQUISA CIENTÍFICA, BASES DE DADOS, DINÂMICA DOS FLUÍDOS COMPUTACIONAL
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ABNT
RIBEIRO, Sonia Alves e MIYAGI, Paulo Eigi. Técnicas de modelagem do sistema circulatório sanguíneo humano. 2018, Anais.. Sao Paulo: Universidade de São Paulo - USP, 2018. Disponível em: https://repositorio.usp.br/directbitstream/8c5904ab-ee3c-4b59-abc8-d90e651b9b56/Miyagi-2018-T%C3%A9cnicas%20de%20modelagem%20do%20sistema%20circulat%C3%B3rio%20sangu%C3%ADneo%20humano.pdf. Acesso em: 26 set. 2024.
APA
Ribeiro, S. A., & Miyagi, P. E. (2018). Técnicas de modelagem do sistema circulatório sanguíneo humano. In SIICUSP 2018: resumos. Sao Paulo: Universidade de São Paulo - USP. Recuperado de https://repositorio.usp.br/directbitstream/8c5904ab-ee3c-4b59-abc8-d90e651b9b56/Miyagi-2018-T%C3%A9cnicas%20de%20modelagem%20do%20sistema%20circulat%C3%B3rio%20sangu%C3%ADneo%20humano.pdf
NLM
Ribeiro SA, Miyagi PE. Técnicas de modelagem do sistema circulatório sanguíneo humano [Internet]. SIICUSP 2018: resumos. 2018 ;[citado 2024 set. 26 ] Available from: https://repositorio.usp.br/directbitstream/8c5904ab-ee3c-4b59-abc8-d90e651b9b56/Miyagi-2018-T%C3%A9cnicas%20de%20modelagem%20do%20sistema%20circulat%C3%B3rio%20sangu%C3%ADneo%20humano.pdf
Vancouver
Ribeiro SA, Miyagi PE. Técnicas de modelagem do sistema circulatório sanguíneo humano [Internet]. SIICUSP 2018: resumos. 2018 ;[citado 2024 set. 26 ] Available from: https://repositorio.usp.br/directbitstream/8c5904ab-ee3c-4b59-abc8-d90e651b9b56/Miyagi-2018-T%C3%A9cnicas%20de%20modelagem%20do%20sistema%20circulat%C3%B3rio%20sangu%C3%ADneo%20humano.pdf
Trabalho de evento
Markov decision processes specified by probabilistic logic programming: representation and solution (2017)
Bueno, Thiago Pereira; Mauá, Denis Deratani ; Barros, Leliane Nunes de ; Cozman, Fabio Gagliardi
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: IME, EP
Subjects: PROCESSOS DE MARKOV, PROGRAMAÇÃO LÓGICA, TOMADA DE DECISÃO
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ABNT
BUENO, Thiago Pereira et al. Markov decision processes specified by probabilistic logic programming: representation and solution. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/BRACIS.2016.068. Acesso em: 26 set. 2024.
APA
Bueno, T. P., Mauá, D. D., Barros, L. N. de, & Cozman, F. G. (2017). Markov decision processes specified by probabilistic logic programming: representation and solution. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2016.068
NLM
Bueno TP, Mauá DD, Barros LN de, Cozman FG. Markov decision processes specified by probabilistic logic programming: representation and solution [Internet]. Proceedings. 2017 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1109/BRACIS.2016.068
Vancouver
Bueno TP, Mauá DD, Barros LN de, Cozman FG. Markov decision processes specified by probabilistic logic programming: representation and solution [Internet]. Proceedings. 2017 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1109/BRACIS.2016.068
Artigo de periodico
On the semantics and complexity of probabilistic logic programs (2017)
Cozman, Fabio Gagliardi ; Mauá, Denis Deratani
Source: Journal of Artificial Intelligence Research. Unidades: EP, IME
Subjects: PROGRAMAÇÃO LÓGICA, PROBABILIDADE
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ABNT
COZMAN, Fabio Gagliardi e MAUÁ, Denis Deratani. On the semantics and complexity of probabilistic logic programs. Journal of Artificial Intelligence Research, v. 60, p. 221-262, 2017Tradução . . Disponível em: https://doi.org/10.1613/jair.5482. Acesso em: 26 set. 2024.
APA
Cozman, F. G., & Mauá, D. D. (2017). On the semantics and complexity of probabilistic logic programs. Journal of Artificial Intelligence Research, 60, 221-262. doi:10.1613/jair.5482
NLM
Cozman FG, Mauá DD. On the semantics and complexity of probabilistic logic programs [Internet]. Journal of Artificial Intelligence Research. 2017 ; 60 221-262.[citado 2024 set. 26 ] Available from: https://doi.org/10.1613/jair.5482
Vancouver
Cozman FG, Mauá DD. On the semantics and complexity of probabilistic logic programs [Internet]. Journal of Artificial Intelligence Research. 2017 ; 60 221-262.[citado 2024 set. 26 ] Available from: https://doi.org/10.1613/jair.5482
Trabalho de evento-anais periodico
Credal sum-product networks (2017)
Mauá, Denis Deratani ; Cozman, Fabio Gagliardi ; Conaty, Diarmaid
Source: PMLR: Proceedings of Machine Learning Research. Conference titles: International Symposium on Imprecise Probability: Theories and Applications - ISIPTA. Unidades: IME, EP
Subjects: INTELIGÊNCIA ARTIFICIAL, MODELOS PARA PROCESSOS ESTOCÁSTICOS
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ABNT
MAUÁ, Denis Deratani e COZMAN, Fabio Gagliardi e CONATY, Diarmaid. Credal sum-product networks. PMLR: Proceedings of Machine Learning Research. Brookline: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: http://proceedings.mlr.press/v62/mau*C3*A117a.html. Acesso em: 26 set. 2024. , 2017
APA
Mauá, D. D., Cozman, F. G., & Conaty, D. (2017). Credal sum-product networks. PMLR: Proceedings of Machine Learning Research. Brookline: Instituto de Matemática e Estatística, Universidade de São Paulo. Recuperado de http://proceedings.mlr.press/v62/mau*C3*A117a.html
NLM
Mauá DD, Cozman FG, Conaty D. Credal sum-product networks [Internet]. PMLR: Proceedings of Machine Learning Research. 2017 ;( 62): 205-216.[citado 2024 set. 26 ] Available from: http://proceedings.mlr.press/v62/mau*C3*A117a.html
Vancouver
Mauá DD, Cozman FG, Conaty D. Credal sum-product networks [Internet]. PMLR: Proceedings of Machine Learning Research. 2017 ;( 62): 205-216.[citado 2024 set. 26 ] Available from: http://proceedings.mlr.press/v62/mau*C3*A117a.html
Artigo de periodico
On the complexity of propositional and relational credal networks (2017)
Cozman, Fabio Gagliardi ; Mauá, Denis Deratani
Source: International Journal of Approximate Reasoning. Unidades: EP, IME
Subjects: CIÊNCIA DA COMPUTAÇÃO, MATEMÁTICA DISCRETA, TEORIA DOS GRAFOS, LÓGICA MATEMÁTICA, PROBABILIDADE, PROCESSOS ESTOCÁSTICOS
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ABNT
COZMAN, Fabio Gagliardi e MAUÁ, Denis Deratani. On the complexity of propositional and relational credal networks. International Journal of Approximate Reasoning, v. 83, p. 298-319, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2016.10.008. Acesso em: 26 set. 2024.
APA
Cozman, F. G., & Mauá, D. D. (2017). On the complexity of propositional and relational credal networks. International Journal of Approximate Reasoning, 83, 298-319. doi:10.1016/j.ijar.2016.10.008
NLM
Cozman FG, Mauá DD. On the complexity of propositional and relational credal networks [Internet]. International Journal of Approximate Reasoning. 2017 ; 83 298-319.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.ijar.2016.10.008
Vancouver
Cozman FG, Mauá DD. On the complexity of propositional and relational credal networks [Internet]. International Journal of Approximate Reasoning. 2017 ; 83 298-319.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.ijar.2016.10.008
Trabalho de evento
The descriptive complexity of bayesian network specifications (2017)
Cozman, Fabio Gagliardi ; Mauá, Denis Deratani
Source: Symbolic and quantitative approaches to reasoning with bncertainty: Proceedings. Conference titles: European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty - ECSQARU 2017. Unidades: IME, EP
Subjects: ESTATÍSTICA E PROBABILIDADE, GEOMETRIA E MODELAGEM COMPUTACIONAL
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ABNT
COZMAN, Fabio Gagliardi e MAUÁ, Denis Deratani. The descriptive complexity of bayesian network specifications. 2017, Anais.. Cham: Springer, 2017. Disponível em: https://doi.org/10.1007/978-3-319-61581-3_9. Acesso em: 26 set. 2024.
APA
Cozman, F. G., & Mauá, D. D. (2017). The descriptive complexity of bayesian network specifications. In Symbolic and quantitative approaches to reasoning with bncertainty: Proceedings. Cham: Springer. doi:10.1007/978-3-319-61581-3_9
NLM
Cozman FG, Mauá DD. The descriptive complexity of bayesian network specifications [Internet]. Symbolic and quantitative approaches to reasoning with bncertainty: Proceedings. 2017 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/978-3-319-61581-3_9
Vancouver
Cozman FG, Mauá DD. The descriptive complexity of bayesian network specifications [Internet]. Symbolic and quantitative approaches to reasoning with bncertainty: Proceedings. 2017 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/978-3-319-61581-3_9
Trabalho de evento
Closed-form solutions in learning probabilistic logic programs by exact score maximization (2017)
Faria, Francisco Henrique Otte Vieira de ; Cozman, Fabio Gagliardi ; Mauá, Denis Deratani
Source: Proceedings. Conference titles: International Conference on Scalable Uncertainty Management - SUM. Unidades: EP, IME
Subjects: PROGRAMAÇÃO LÓGICA, APRENDIZADO COMPUTACIONAL
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ABNT
FARIA, Francisco Henrique Otte Vieira de e COZMAN, Fabio Gagliardi e MAUÁ, Denis Deratani. Closed-form solutions in learning probabilistic logic programs by exact score maximization. 2017, Anais.. Cham: Springer, 2017. Disponível em: https://doi.org/10.1007/978-3-319-67582-4_9. Acesso em: 26 set. 2024.
APA
Faria, F. H. O. V. de, Cozman, F. G., & Mauá, D. D. (2017). Closed-form solutions in learning probabilistic logic programs by exact score maximization. In Proceedings. Cham: Springer. doi:10.1007/978-3-319-67582-4_9
NLM
Faria FHOV de, Cozman FG, Mauá DD. Closed-form solutions in learning probabilistic logic programs by exact score maximization [Internet]. Proceedings. 2017 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/978-3-319-67582-4_9
Vancouver
Faria FHOV de, Cozman FG, Mauá DD. Closed-form solutions in learning probabilistic logic programs by exact score maximization [Internet]. Proceedings. 2017 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/978-3-319-67582-4_9
Trabalho de evento
Smart services: a case study on smarter public safety by a mobile App for University of São Paulo (2017)
Ferreira, João Eduardo ; Visintin, Jose Antonio ; Okamoto Junior, Jun ; Pu, Calton
Source: Proceedings. Conference titles: International Conference on Smart City Innovations - SCI. Unidades: IME, FMVZ, EP
Subjects: SEGURANÇA PÚBLICA, COMPUTAÇÃO MÓVEL
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ABNT
FERREIRA, João Eduardo et al. Smart services: a case study on smarter public safety by a mobile App for University of São Paulo. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/UIC-ATC.2017.8397574. Acesso em: 26 set. 2024.
APA
Ferreira, J. E., Visintin, J. A., Okamoto Junior, J., & Pu, C. (2017). Smart services: a case study on smarter public safety by a mobile App for University of São Paulo. In Proceedings. Piscataway: IEEE. doi:10.1109/UIC-ATC.2017.8397574
NLM
Ferreira JE, Visintin JA, Okamoto Junior J, Pu C. Smart services: a case study on smarter public safety by a mobile App for University of São Paulo [Internet]. Proceedings. 2017 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1109/UIC-ATC.2017.8397574
Vancouver
Ferreira JE, Visintin JA, Okamoto Junior J, Pu C. Smart services: a case study on smarter public safety by a mobile App for University of São Paulo [Internet]. Proceedings. 2017 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1109/UIC-ATC.2017.8397574
Trabalho de evento
Parameter learning in ProbLog with probabilistic rules (2017)
Faria, Francisco Henrique Otte Vieira de ; Gusmão, Arthur C; De Bona, Glauber ; Mauá, Denis Deratani ; Cozman, Fabio Gagliardi
Source: Proceedings. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidades: IME, EP
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, PROGRAMAÇÃO LÓGICA
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ABNT
FARIA, Francisco Henrique Otte Vieira de et al. Parameter learning in ProbLog with probabilistic rules. 2017, Anais.. Porto Alegre: SBC, 2017. Disponível em: http://www.facom.ufu.br/~kdmile/proceedings/anais-kdmile-2017.pdf. Acesso em: 26 set. 2024.
APA
Faria, F. H. O. V. de, Gusmão, A. C., De Bona, G., Mauá, D. D., & Cozman, F. G. (2017). Parameter learning in ProbLog with probabilistic rules. In Proceedings. Porto Alegre: SBC. Recuperado de http://www.facom.ufu.br/~kdmile/proceedings/anais-kdmile-2017.pdf
NLM
Faria FHOV de, Gusmão AC, De Bona G, Mauá DD, Cozman FG. Parameter learning in ProbLog with probabilistic rules [Internet]. Proceedings. 2017 ;[citado 2024 set. 26 ] Available from: http://www.facom.ufu.br/~kdmile/proceedings/anais-kdmile-2017.pdf
Vancouver
Faria FHOV de, Gusmão AC, De Bona G, Mauá DD, Cozman FG. Parameter learning in ProbLog with probabilistic rules [Internet]. Proceedings. 2017 ;[citado 2024 set. 26 ] Available from: http://www.facom.ufu.br/~kdmile/proceedings/anais-kdmile-2017.pdf
Artigo de periodico
Heart bounding box automatic determination in coronal magnetic resonance temporal sequences (2017)
Cappabianco, Fabio A. M; Tsuzuki, Marcos de Sales Guerra ; Miranda, Paulo André Vechiatto de ; Martins, Thiago de Castro ; Kagei, Seiichiro; Gotoh, Toshiyuki; Iwasawa, Tae
Source: IFAC-PapersOnLine. Unidades: EP, IME
Subjects: PROCESSAMENTO DE IMAGENS, IMAGEM POR RESSONÂNCIA MAGNÉTICA
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ABNT
CAPPABIANCO, Fabio A. M et al. Heart bounding box automatic determination in coronal magnetic resonance temporal sequences. IFAC-PapersOnLine, v. 50, n. 1, p. 15056-15061, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.ifacol.2017.08.2519. Acesso em: 26 set. 2024.
APA
Cappabianco, F. A. M., Tsuzuki, M. de S. G., Miranda, P. A. V. de, Martins, T. de C., Kagei, S., Gotoh, T., & Iwasawa, T. (2017). Heart bounding box automatic determination in coronal magnetic resonance temporal sequences. IFAC-PapersOnLine, 50( 1), 15056-15061. doi:10.1016/j.ifacol.2017.08.2519
NLM
Cappabianco FAM, Tsuzuki M de SG, Miranda PAV de, Martins T de C, Kagei S, Gotoh T, Iwasawa T. Heart bounding box automatic determination in coronal magnetic resonance temporal sequences [Internet]. IFAC-PapersOnLine. 2017 ; 50( 1): 15056-15061.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.ifacol.2017.08.2519
Vancouver
Cappabianco FAM, Tsuzuki M de SG, Miranda PAV de, Martins T de C, Kagei S, Gotoh T, Iwasawa T. Heart bounding box automatic determination in coronal magnetic resonance temporal sequences [Internet]. IFAC-PapersOnLine. 2017 ; 50( 1): 15056-15061.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.ifacol.2017.08.2519
Artigo de periodico
The effect of combination functions on the complexity of relational Bayesian networks (2017)
Mauá, Denis Deratani ; Cozman, Fabio Gagliardi
Source: International Journal of Approximate Reasoning. Unidades: IME, EP
Subjects: CIÊNCIA DA COMPUTAÇÃO, TEORIA DA COMPUTAÇÃO, ANÁLISE DE ALGORITMOS, ESTATÍSTICA, ANÁLISE MULTIVARIADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAUÁ, Denis Deratani e COZMAN, Fabio Gagliardi. The effect of combination functions on the complexity of relational Bayesian networks. International Journal of Approximate Reasoning, v. 85, p. 178-195, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2017.03.014. Acesso em: 26 set. 2024.
APA
Mauá, D. D., & Cozman, F. G. (2017). The effect of combination functions on the complexity of relational Bayesian networks. International Journal of Approximate Reasoning, 85, 178-195. doi:10.1016/j.ijar.2017.03.014
NLM
Mauá DD, Cozman FG. The effect of combination functions on the complexity of relational Bayesian networks [Internet]. International Journal of Approximate Reasoning. 2017 ; 85 178-195.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.ijar.2017.03.014
Vancouver
Mauá DD, Cozman FG. The effect of combination functions on the complexity of relational Bayesian networks [Internet]. International Journal of Approximate Reasoning. 2017 ; 85 178-195.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.ijar.2017.03.014
Trabalho de evento-anais periodico
Modeling Markov decision processes with imprecise probabilities using probabilistic logic programming (2017)
Bueno, Thiago Pereira; Mauá, Denis Deratani ; Barros, Leliane Nunes de ; Cozman, Fabio Gagliardi
Source: PMLR: Proceedings of Machine Learning Research. Conference titles: International Symposium on Imprecise Probability: Theories and Applications - ISIPTA. Unidades: IME, EP
Subjects: PROCESSOS DE MARKOV, PROGRAMAÇÃO LÓGICA, MODELOS PARA PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BUENO, Thiago Pereira et al. Modeling Markov decision processes with imprecise probabilities using probabilistic logic programming. PMLR: Proceedings of Machine Learning Research. Brookline: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: http://proceedings.mlr.press/v62/bueno17a.html. Acesso em: 26 set. 2024. , 2017
APA
Bueno, T. P., Mauá, D. D., Barros, L. N. de, & Cozman, F. G. (2017). Modeling Markov decision processes with imprecise probabilities using probabilistic logic programming. PMLR: Proceedings of Machine Learning Research. Brookline: Instituto de Matemática e Estatística, Universidade de São Paulo. Recuperado de http://proceedings.mlr.press/v62/bueno17a.html
NLM
Bueno TP, Mauá DD, Barros LN de, Cozman FG. Modeling Markov decision processes with imprecise probabilities using probabilistic logic programming [Internet]. PMLR: Proceedings of Machine Learning Research. 2017 ;( 62): 49-60.[citado 2024 set. 26 ] Available from: http://proceedings.mlr.press/v62/bueno17a.html
Vancouver
Bueno TP, Mauá DD, Barros LN de, Cozman FG. Modeling Markov decision processes with imprecise probabilities using probabilistic logic programming [Internet]. PMLR: Proceedings of Machine Learning Research. 2017 ;( 62): 49-60.[citado 2024 set. 26 ] Available from: http://proceedings.mlr.press/v62/bueno17a.html
Trabalho de evento
The complexity of inferences and explanations in probabilistic logic programming (2017)
Cozman, Fabio Gagliardi ; Mauá, Denis Deratani
Source: Symbolic and quantitative approaches to reasoning with bncertainty: Proceedings. Conference titles: European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty - ECSQARU 2017. Unidades: IME, EP
Subjects: ESTATÍSTICA E PROBABILIDADE, GEOMETRIA E MODELAGEM COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COZMAN, Fabio Gagliardi e MAUÁ, Denis Deratani. The complexity of inferences and explanations in probabilistic logic programming. 2017, Anais.. Cham: Springer, 2017. Disponível em: https://doi.org/10.1007/978-3-319-61581-3_40. Acesso em: 26 set. 2024.
APA
Cozman, F. G., & Mauá, D. D. (2017). The complexity of inferences and explanations in probabilistic logic programming. In Symbolic and quantitative approaches to reasoning with bncertainty: Proceedings. Cham: Springer. doi:10.1007/978-3-319-61581-3_40
NLM
Cozman FG, Mauá DD. The complexity of inferences and explanations in probabilistic logic programming [Internet]. Symbolic and quantitative approaches to reasoning with bncertainty: Proceedings. 2017 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/978-3-319-61581-3_40
Vancouver
Cozman FG, Mauá DD. The complexity of inferences and explanations in probabilistic logic programming [Internet]. Symbolic and quantitative approaches to reasoning with bncertainty: Proceedings. 2017 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/978-3-319-61581-3_40
Trabalho de evento-anais periodico
The effect of combination functions on the complexity of relational Bayesian networks (2016)
Mauá, Denis Deratani ; Cozman, Fabio Gagliardi
Source: Journal of Machine Learning Research. Conference titles: International Conference on Probabilistic Graphical Models - PMLR. Unidades: EP, IME
Subjects: INFERÊNCIA BAYESIANA, INTELIGÊNCIA ARTIFICIAL, RACIOCÍNIO PROBABILÍSTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAUÁ, Denis Deratani e COZMAN, Fabio Gagliardi. The effect of combination functions on the complexity of relational Bayesian networks. Journal of Machine Learning Research. Brookline: Escola Politécnica, Universidade de São Paulo. Disponível em: http://proceedings.mlr.press/v52/maua16.pdf. Acesso em: 26 set. 2024. , 2016
APA
Mauá, D. D., & Cozman, F. G. (2016). The effect of combination functions on the complexity of relational Bayesian networks. Journal of Machine Learning Research. Brookline: Escola Politécnica, Universidade de São Paulo. Recuperado de http://proceedings.mlr.press/v52/maua16.pdf
NLM
Mauá DD, Cozman FG. The effect of combination functions on the complexity of relational Bayesian networks [Internet]. Journal of Machine Learning Research. 2016 ;( 52): 333-344.[citado 2024 set. 26 ] Available from: http://proceedings.mlr.press/v52/maua16.pdf
Vancouver
Mauá DD, Cozman FG. The effect of combination functions on the complexity of relational Bayesian networks [Internet]. Journal of Machine Learning Research. 2016 ;( 52): 333-344.[citado 2024 set. 26 ] Available from: http://proceedings.mlr.press/v52/maua16.pdf

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