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Trabalho de evento
Hyperintensional models and belief change (2022)
Souza, Marlo ; Wassermann, Renata
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: IME
Subjects: REVISÃO DE CRENÇAS, LÓGICA MATEMÁTICA
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ABNT
SOUZA, Marlo e WASSERMANN, Renata. Hyperintensional models and belief change. 2022, Anais.. Cham: Springer, 2022. Disponível em: https://doi.org/10.1007/978-3-031-21686-2_30. Acesso em: 13 nov. 2025.
APA
Souza, M., & Wassermann, R. (2022). Hyperintensional models and belief change. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-21686-2_30
NLM
Souza M, Wassermann R. Hyperintensional models and belief change [Internet]. Proceedings. 2022 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_30
Vancouver
Souza M, Wassermann R. Hyperintensional models and belief change [Internet]. Proceedings. 2022 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_30
Trabalho de evento
Time robust trees: using temporal invariance to improve generalization (2022)
Moneda, Luis ; Mauá, Denis Deratani
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: IME
Subjects: INVARIANTES, TEORIA DA DECISÃO
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MONEDA, Luis e MAUÁ, Denis Deratani. Time robust trees: using temporal invariance to improve generalization. 2022, Anais.. Cham: Springer, 2022. Disponível em: https://doi.org/10.1007/978-3-031-21686-2_27. Acesso em: 13 nov. 2025.
APA
Moneda, L., & Mauá, D. D. (2022). Time robust trees: using temporal invariance to improve generalization. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-21686-2_27
NLM
Moneda L, Mauá DD. Time robust trees: using temporal invariance to improve generalization [Internet]. Proceedings. 2022 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_27
Vancouver
Moneda L, Mauá DD. Time robust trees: using temporal invariance to improve generalization [Internet]. Proceedings. 2022 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_27
Trabalho de evento
Exploration versus exploitation in model-based reinforcement learning: an empirical study (2022)
Lovatto, Ângelo Gregório ; Barros, Leliane Nunes de ; Mauá, Denis Deratani
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: IME
Assunto: CONTROLE ÓTIMO
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LOVATTO, Ângelo Gregório e BARROS, Leliane Nunes de e MAUÁ, Denis Deratani. Exploration versus exploitation in model-based reinforcement learning: an empirical study. 2022, Anais.. Cham: Springer, 2022. Disponível em: https://doi.org/10.1007/978-3-031-21689-3_3. Acesso em: 13 nov. 2025.
APA
Lovatto, Â. G., Barros, L. N. de, & Mauá, D. D. (2022). Exploration versus exploitation in model-based reinforcement learning: an empirical study. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-21689-3_3
NLM
Lovatto ÂG, Barros LN de, Mauá DD. Exploration versus exploitation in model-based reinforcement learning: an empirical study [Internet]. Proceedings. 2022 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_3
Vancouver
Lovatto ÂG, Barros LN de, Mauá DD. Exploration versus exploitation in model-based reinforcement learning: an empirical study [Internet]. Proceedings. 2022 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_3
Trabalho de evento
Gradient estimation in model-based reinforcement learning: a study on linear quadratic environments (2021)
Lovatto, Ângelo Gregório ; Bueno, Thiago Pereira ; Barros, Leliane Nunes de
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: IME
Subjects: MODELOS PARA PROCESSOS ESTOCÁSTICOS, APRENDIZADO COMPUTACIONAL
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LOVATTO, Ângelo Gregório e BUENO, Thiago Pereira e BARROS, Leliane Nunes de. Gradient estimation in model-based reinforcement learning: a study on linear quadratic environments. 2021, Anais.. Cham: Springer, 2021. Disponível em: https://doi.org/10.1007/978-3-030-91702-9_3. Acesso em: 13 nov. 2025.
APA
Lovatto, Â. G., Bueno, T. P., & Barros, L. N. de. (2021). Gradient estimation in model-based reinforcement learning: a study on linear quadratic environments. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-91702-9_3
NLM
Lovatto ÂG, Bueno TP, Barros LN de. Gradient estimation in model-based reinforcement learning: a study on linear quadratic environments [Internet]. Proceedings. 2021 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_3
Vancouver
Lovatto ÂG, Bueno TP, Barros LN de. Gradient estimation in model-based reinforcement learning: a study on linear quadratic environments [Internet]. Proceedings. 2021 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_3
Trabalho de evento
Finding feasible policies for extreme risk-averse agents in probabilistic planning (2020)
Fernandez, Milton Condori; Barros, Leliane Nunes de ; Mauá, Denis Deratani ; Delgado, Karina Valdivia ; Silva, Valdinei Freire da
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: IME, EACH
Subjects: PROBABILIDADE, MODELOS PARA PROCESSOS ESTOCÁSTICOS, ANÁLISE DE RISCO
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FERNANDEZ, Milton Condori et al. Finding feasible policies for extreme risk-averse agents in probabilistic planning. 2020, Anais.. Cham: Springer, 2020. Disponível em: https://doi.org/10.1007/978-3-030-61380-8_7. Acesso em: 13 nov. 2025.
APA
Fernandez, M. C., Barros, L. N. de, Mauá, D. D., Delgado, K. V., & Silva, V. F. da. (2020). Finding feasible policies for extreme risk-averse agents in probabilistic planning. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-61380-8_7
NLM
Fernandez MC, Barros LN de, Mauá DD, Delgado KV, Silva VF da. Finding feasible policies for extreme risk-averse agents in probabilistic planning [Internet]. Proceedings. 2020 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_7
Vancouver
Fernandez MC, Barros LN de, Mauá DD, Delgado KV, Silva VF da. Finding feasible policies for extreme risk-averse agents in probabilistic planning [Internet]. Proceedings. 2020 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_7
Trabalho de evento
Robust ranking of brazilian Supreme Court decisions (2020)
Souza, Jackson José de ; Finger, Marcelo
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: IME
Subjects: REDES COMPLEXAS, ALGORITMOS E ESTRUTURAS DE DADOS, TRIBUNAL SUPREMO
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SOUZA, Jackson José de e FINGER, Marcelo. Robust ranking of brazilian Supreme Court decisions. 2020, Anais.. Cham: Springer, 2020. Disponível em: https://doi.org/10.1007/978-3-030-61377-8_40. Acesso em: 13 nov. 2025.
APA
Souza, J. J. de, & Finger, M. (2020). Robust ranking of brazilian Supreme Court decisions. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-61377-8_40
NLM
Souza JJ de, Finger M. Robust ranking of brazilian Supreme Court decisions [Internet]. Proceedings. 2020 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-61377-8_40
Vancouver
Souza JJ de, Finger M. Robust ranking of brazilian Supreme Court decisions [Internet]. Proceedings. 2020 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-61377-8_40
Trabalho de evento
On the performance of planning through backpropagation (2020)
Scaroni, Renato; Bueno, Thiago Pereira; Barros, Leliane Nunes de ; Mauá, Denis Deratani
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: IME
Subjects: APRENDIZAGEM PROFUNDA, COMPUTAÇÃO APLICADA, METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO
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SCARONI, Renato et al. On the performance of planning through backpropagation. 2020, Anais.. Cham: Springer, 2020. Disponível em: https://doi.org/10.1007/978-3-030-61380-8_8. Acesso em: 13 nov. 2025.
APA
Scaroni, R., Bueno, T. P., Barros, L. N. de, & Mauá, D. D. (2020). On the performance of planning through backpropagation. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-61380-8_8
NLM
Scaroni R, Bueno TP, Barros LN de, Mauá DD. On the performance of planning through backpropagation [Internet]. Proceedings. 2020 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_8
Vancouver
Scaroni R, Bueno TP, Barros LN de, Mauá DD. On the performance of planning through backpropagation [Internet]. Proceedings. 2020 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_8
Trabalho de evento
Semi-supervised classification using deep learning (2019)
Lima, Bruno Vicente Alves de; Dória Neto, Adrião Duarte ; Silva, Lúcia Emília Soares ; Machado, Vinícius Ponte ; Costa, João Guilherme Cavalcanti
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
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ABNT
LIMA, Bruno Vicente Alves de et al. Semi-supervised classification using deep learning. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00158. Acesso em: 13 nov. 2025.
APA
Lima, B. V. A. de, Dória Neto, A. D., Silva, L. E. S., Machado, V. P., & Costa, J. G. C. (2019). Semi-supervised classification using deep learning. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00158
NLM
Lima BVA de, Dória Neto AD, Silva LES, Machado VP, Costa JGC. Semi-supervised classification using deep learning [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00158
Vancouver
Lima BVA de, Dória Neto AD, Silva LES, Machado VP, Costa JGC. Semi-supervised classification using deep learning [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00158
Trabalho de evento
Selecting the most relevant features for the identification of long non-coding RNAs in plants (2019)
Bonidia, Robson P ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Paschoal, Alexandre Rossi ; Sanches, Danilo Sipoli
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: BIOINFORMÁTICA, HEURÍSTICA, ALGORITMOS GENÉTICOS, APRENDIZADO COMPUTACIONAL, RNA
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BONIDIA, Robson P et al. Selecting the most relevant features for the identification of long non-coding RNAs in plants. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00100. Acesso em: 13 nov. 2025.
APA
Bonidia, R. P., Carvalho, A. C. P. de L. F. de, Paschoal, A. R., & Sanches, D. S. (2019). Selecting the most relevant features for the identification of long non-coding RNAs in plants. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00100
NLM
Bonidia RP, Carvalho ACP de LF de, Paschoal AR, Sanches DS. Selecting the most relevant features for the identification of long non-coding RNAs in plants [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00100
Vancouver
Bonidia RP, Carvalho ACP de LF de, Paschoal AR, Sanches DS. Selecting the most relevant features for the identification of long non-coding RNAs in plants [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00100
Trabalho de evento
A multilevel approach for building location-based social network by using stay points (2019)
Minatel, Diego ; Ferreira, Vinicius; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: REDES SOCIAIS, APRENDIZADO COMPUTACIONAL, SISTEMA DE POSICIONAMENTO GLOBAL
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MINATEL, Diego e FERREIRA, Vinicius e LOPES, Alneu de Andrade. A multilevel approach for building location-based social network by using stay points. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00070. Acesso em: 13 nov. 2025.
APA
Minatel, D., Ferreira, V., & Lopes, A. de A. (2019). A multilevel approach for building location-based social network by using stay points. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00070
NLM
Minatel D, Ferreira V, Lopes A de A. A multilevel approach for building location-based social network by using stay points [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00070
Vancouver
Minatel D, Ferreira V, Lopes A de A. A multilevel approach for building location-based social network by using stay points [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00070
Trabalho de evento
A scalability approach based on multilevel optimization for link prediction methods (2019)
Ferreira, Vinicius; Valejo, Alan Demetrius Baria ; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: REDES COMPLEXAS, ALGORITMOS ÚTEIS E ESPECÍFICOS, REDES SOCIAIS
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FERREIRA, Vinicius e VALEJO, Alan Demetrius Baria e LOPES, Alneu de Andrade. A scalability approach based on multilevel optimization for link prediction methods. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00071. Acesso em: 13 nov. 2025.
APA
Ferreira, V., Valejo, A. D. B., & Lopes, A. de A. (2019). A scalability approach based on multilevel optimization for link prediction methods. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00071
NLM
Ferreira V, Valejo ADB, Lopes A de A. A scalability approach based on multilevel optimization for link prediction methods [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00071
Vancouver
Ferreira V, Valejo ADB, Lopes A de A. A scalability approach based on multilevel optimization for link prediction methods [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00071
Trabalho de evento
A sampling-based framework for transductive classification in information networks (2019)
Santos, Brucce Neves dos ; Marcacini, Ricardo Marcondes ; Rezende, Solange Oliveira
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, DESCOBERTA DE CONHECIMENTO
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SANTOS, Brucce Neves dos e MARCACINI, Ricardo Marcondes e REZENDE, Solange Oliveira. A sampling-based framework for transductive classification in information networks. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00120. Acesso em: 13 nov. 2025.
APA
Santos, B. N. dos, Marcacini, R. M., & Rezende, S. O. (2019). A sampling-based framework for transductive classification in information networks. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00120
NLM
Santos BN dos, Marcacini RM, Rezende SO. A sampling-based framework for transductive classification in information networks [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00120
Vancouver
Santos BN dos, Marcacini RM, Rezende SO. A sampling-based framework for transductive classification in information networks [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00120
Trabalho de evento
Towards meta-learning for multi-target regression problems (2019)
Aguiar, Gabriel Jones; Santana, Everton J; Mastelini, Saulo Martiello ; Mantovani, Rafael Gomes ; Barbon Júnior, Sylvio
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MATEMÁTICA DA COMPUTAÇÃO
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ABNT
AGUIAR, Gabriel Jones et al. Towards meta-learning for multi-target regression problems. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00073. Acesso em: 13 nov. 2025.
APA
Aguiar, G. J., Santana, E. J., Mastelini, S. M., Mantovani, R. G., & Barbon Júnior, S. (2019). Towards meta-learning for multi-target regression problems. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00073
NLM
Aguiar GJ, Santana EJ, Mastelini SM, Mantovani RG, Barbon Júnior S. Towards meta-learning for multi-target regression problems [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00073
Vancouver
Aguiar GJ, Santana EJ, Mastelini SM, Mantovani RG, Barbon Júnior S. Towards meta-learning for multi-target regression problems [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00073
Trabalho de evento
Explainable machine learning for breast cancer diagnosis (2019)
Brito-Sarracino, Tamires ; Santos, Moises Rocha dos ; Antunes, Eric Freire ; Santos, Iury Batista de Andrade; Kasmanas, Jonas Coelho ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISUALIZAÇÃO, NEOPLASIAS MAMÁRIAS, TECNOLOGIAS DA SAÚDE
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BRITO-SARRACINO, Tamires et al. Explainable machine learning for breast cancer diagnosis. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00124. Acesso em: 13 nov. 2025.
APA
Brito-Sarracino, T., Santos, M. R. dos, Antunes, E. F., Santos, I. B. de A., Kasmanas, J. C., & Carvalho, A. C. P. de L. F. de. (2019). Explainable machine learning for breast cancer diagnosis. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00124
NLM
Brito-Sarracino T, Santos MR dos, Antunes EF, Santos IB de A, Kasmanas JC, Carvalho ACP de LF de. Explainable machine learning for breast cancer diagnosis [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00124
Vancouver
Brito-Sarracino T, Santos MR dos, Antunes EF, Santos IB de A, Kasmanas JC, Carvalho ACP de LF de. Explainable machine learning for breast cancer diagnosis [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00124
Trabalho de evento
The influence of sampling on imbalanced data classification (2019)
Barella, Victor Hugo ; Garcia, Luís Paulo Faina ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: ALGORITMOS ÚTEIS E ESPECÍFICOS, RECONHECIMENTO DE PADRÕES, MATEMÁTICA DA COMPUTAÇÃO
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BARELLA, Victor Hugo e GARCIA, Luís Paulo Faina e CARVALHO, André Carlos Ponce de Leon Ferreira de. The influence of sampling on imbalanced data classification. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00045. Acesso em: 13 nov. 2025.
APA
Barella, V. H., Garcia, L. P. F., & Carvalho, A. C. P. de L. F. de. (2019). The influence of sampling on imbalanced data classification. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00045
NLM
Barella VH, Garcia LPF, Carvalho ACP de LF de. The influence of sampling on imbalanced data classification [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00045
Vancouver
Barella VH, Garcia LPF, Carvalho ACP de LF de. The influence of sampling on imbalanced data classification [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00045
Trabalho de evento
Online local boosting: improving performance in online decision trees (2019)
Costa, Victor Guilherme Turrisi da ; Mastelini, Saulo Martiello ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Barbon Júnior, Sylvio
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, ALGORITMOS ÚTEIS E ESPECÍFICOS, ANÁLISE DE SÉRIES TEMPORAIS
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COSTA, Victor Guilherme Turrisi da et al. Online local boosting: improving performance in online decision trees. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00032. Acesso em: 13 nov. 2025.
APA
Costa, V. G. T. da, Mastelini, S. M., Carvalho, A. C. P. de L. F. de, & Barbon Júnior, S. (2019). Online local boosting: improving performance in online decision trees. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00032
NLM
Costa VGT da, Mastelini SM, Carvalho ACP de LF de, Barbon Júnior S. Online local boosting: improving performance in online decision trees [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00032
Vancouver
Costa VGT da, Mastelini SM, Carvalho ACP de LF de, Barbon Júnior S. Online local boosting: improving performance in online decision trees [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00032
Trabalho de evento
Improving recommendations by using a heterogeneous network and user's reviews (2019)
Tonon, Vitor Rodrigues ; Oliveira, Cintia Carvalho ; Oliveira, Daniele Carvalho ; Lopes, Alneu de Andrade ; Sinoara, Roberta Akemi ; Marcacini, Ricardo Marcondes ; Rezende, Solange Oliveira
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, SISTEMAS DE INFORMAÇÃO
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TONON, Vitor Rodrigues et al. Improving recommendations by using a heterogeneous network and user's reviews. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00117. Acesso em: 13 nov. 2025.
APA
Tonon, V. R., Oliveira, C. C., Oliveira, D. C., Lopes, A. de A., Sinoara, R. A., Marcacini, R. M., & Rezende, S. O. (2019). Improving recommendations by using a heterogeneous network and user's reviews. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00117
NLM
Tonon VR, Oliveira CC, Oliveira DC, Lopes A de A, Sinoara RA, Marcacini RM, Rezende SO. Improving recommendations by using a heterogeneous network and user's reviews [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00117
Vancouver
Tonon VR, Oliveira CC, Oliveira DC, Lopes A de A, Sinoara RA, Marcacini RM, Rezende SO. Improving recommendations by using a heterogeneous network and user's reviews [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00117
Trabalho de evento
Impact of facial expressions on the accuracy of a CNN performing periocular recognition (2019)
Dalapicola, Rodolfo Coelho; Queiroga, Raissa Tavares Vieira; Ferraz, Carolina Toledo; Borges, Tamiris Trevisan Negri; Saito, Jose Hiroki; Gonzaga, Adilson
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: EESC
Subjects: BIOMETRIA, REDES NEURAIS, TRANSFERÊNCIA (APRENDIZAGEM), ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DALAPICOLA, Rodolfo Coelho et al. Impact of facial expressions on the accuracy of a CNN performing periocular recognition. 2019, Anais.. Piscataway, NJ, USA: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00077. Acesso em: 13 nov. 2025.
APA
Dalapicola, R. C., Queiroga, R. T. V., Ferraz, C. T., Borges, T. T. N., Saito, J. H., & Gonzaga, A. (2019). Impact of facial expressions on the accuracy of a CNN performing periocular recognition. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/BRACIS.2019.00077
NLM
Dalapicola RC, Queiroga RTV, Ferraz CT, Borges TTN, Saito JH, Gonzaga A. Impact of facial expressions on the accuracy of a CNN performing periocular recognition [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00077
Vancouver
Dalapicola RC, Queiroga RTV, Ferraz CT, Borges TTN, Saito JH, Gonzaga A. Impact of facial expressions on the accuracy of a CNN performing periocular recognition [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00077
Trabalho de evento
A network-based model for optimizing returns in the stock market (2019)
Colliri, Tiago Santos ; Liang, Zhao
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, 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. A network-based model for optimizing returns in the stock market. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00118. Acesso em: 13 nov. 2025.
APA
Colliri, T. S., & Liang, Z. (2019). A network-based model for optimizing returns in the stock market. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00118
NLM
Colliri TS, Liang Z. A network-based model for optimizing returns in the stock market [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00118
Vancouver
Colliri TS, Liang Z. A network-based model for optimizing returns in the stock market [Internet]. Proceedings. 2019 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2019.00118
Trabalho de evento
Evaluating stream classifiers with delayed labels information (2018)
Souza, Vinícius Mourão Alves de; Silva, Tiago Pinho da; Batista, Gustavo Enrique de Almeida Prado Alves
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Vinícius Mourão Alves de e SILVA, Tiago Pinho da e BATISTA, Gustavo Enrique de Almeida Prado Alves. Evaluating stream classifiers with delayed labels information. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/BRACIS.2018.00077. Acesso em: 13 nov. 2025.
APA
Souza, V. M. A. de, Silva, T. P. da, & Batista, G. E. de A. P. A. (2018). Evaluating stream classifiers with delayed labels information. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2018.00077
NLM
Souza VMA de, Silva TP da, Batista GE de APA. Evaluating stream classifiers with delayed labels information [Internet]. Proceedings. 2018 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2018.00077
Vancouver
Souza VMA de, Silva TP da, Batista GE de APA. Evaluating stream classifiers with delayed labels information [Internet]. Proceedings. 2018 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2018.00077

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