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Trabalho de evento-anais periodico
Multiobjective evolutionary algorithms applied to the optimization of expanded genetic codes (2023)
Silva, Maísa de Carvalho; Pereira, Paulo Guilherme Pinheiro; Oliveira, Lariza Laura de ; Tinós, Renato
Source: Lecture Notes in Computer Science. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: FFCLRP
Subjects: ALGORITMOS GENÉTICOS, OTIMIZAÇÃO COMBINATÓRIA, CÓDIGO GENÉTICO
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SILVA, Maísa de Carvalho et al. Multiobjective evolutionary algorithms applied to the optimization of expanded genetic codes. Lecture Notes in Computer Science. Belo Horizonte: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-45392-2_1. Acesso em: 05 jul. 2024. , 2023
APA
Silva, M. de C., Pereira, P. G. P., Oliveira, L. L. de, & Tinós, R. (2023). Multiobjective evolutionary algorithms applied to the optimization of expanded genetic codes. Lecture Notes in Computer Science. Belo Horizonte: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1007/978-3-031-45392-2_1
NLM
Silva M de C, Pereira PGP, Oliveira LL de, Tinós R. Multiobjective evolutionary algorithms applied to the optimization of expanded genetic codes [Internet]. Lecture Notes in Computer Science. 2023 ; 14197 3-16.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-45392-2_1
Vancouver
Silva M de C, Pereira PGP, Oliveira LL de, Tinós R. Multiobjective evolutionary algorithms applied to the optimization of expanded genetic codes [Internet]. Lecture Notes in Computer Science. 2023 ; 14197 3-16.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-45392-2_1
Trabalho de evento-anais periodico
Exploring text decoding methods for portuguese legal text generation (2023)
Sakiyama, Kenzo ; Montanari, Raphael ; Malaquias Junior, Roseval Donisete ; Nogueira, Rodrigo Frassetto ; Romero, Roseli Aparecida Francelin
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: ICMC, EESC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, RECUPERAÇÃO DA INFORMAÇÃO, PORTUGUÊS DO BRASIL
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SAKIYAMA, Kenzo et al. Exploring text decoding methods for portuguese legal text generation. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-45368-7_5. Acesso em: 05 jul. 2024. , 2023
APA
Sakiyama, K., Montanari, R., Malaquias Junior, R. D., Nogueira, R. F., & Romero, R. A. F. (2023). Exploring text decoding methods for portuguese legal text generation. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-45368-7_5
NLM
Sakiyama K, Montanari R, Malaquias Junior RD, Nogueira RF, Romero RAF. Exploring text decoding methods for portuguese legal text generation [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14195 63-77.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-45368-7_5
Vancouver
Sakiyama K, Montanari R, Malaquias Junior RD, Nogueira RF, Romero RAF. Exploring text decoding methods for portuguese legal text generation [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14195 63-77.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-45368-7_5
Trabalho de evento-anais periodico
Regulation and ethics of facial recognition systems: an analysis of cases in the Court of Appeal in the state of São Paulo (2023)
Oliveira, Cristina Godoy Bernardo de ; Albuquerque, Otávio de Paula ; Belotti, Emily Liene; Lopes, Isabella Ferreira; Silva, Rodrigo Brandão de Andrade e; Arbix, Glauco Antonio Truzzi
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: FDRP, FFLCH, EESC E ICMC, EACH
Subjects: RECONHECIMENTO DE IMAGEM, MINERAÇÃO DE DADOS, DIREITO DO CONSUMIDOR, JURISPRUDÊNCIA, CRÉDITO BANCÁRIO
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OLIVEIRA, Cristina Godoy Bernardo de et al. Regulation and ethics of facial recognition systems: an analysis of cases in the Court of Appeal in the state of São Paulo. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-45368-7_2. Acesso em: 05 jul. 2024. , 2023
APA
Oliveira, C. G. B. de, Albuquerque, O. de P., Belotti, E. L., Lopes, I. F., Silva, R. B. de A. e, & Arbix, G. A. T. (2023). Regulation and ethics of facial recognition systems: an analysis of cases in the Court of Appeal in the state of São Paulo. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-45368-7_2
NLM
Oliveira CGB de, Albuquerque O de P, Belotti EL, Lopes IF, Silva RB de A e, Arbix GAT. Regulation and ethics of facial recognition systems: an analysis of cases in the Court of Appeal in the state of São Paulo [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14195 18-32.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-45368-7_2
Vancouver
Oliveira CGB de, Albuquerque O de P, Belotti EL, Lopes IF, Silva RB de A e, Arbix GAT. Regulation and ethics of facial recognition systems: an analysis of cases in the Court of Appeal in the state of São Paulo [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14195 18-32.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-45368-7_2
Trabalho de evento-anais periodico
Disambiguation of Universal Dependencies part-of-speech tags of closed class words in portuguese (2023)
Lopes, Lucelene ; Fernandes, Paulo ; Inácio, Marcio Lima ; Duran, Magali Sanches ; Pardo, Thiago Alexandre Salgueiro
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, SINTAXE E SEMÂNTICA DA LINGUAGEM NATURAL, PORTUGUÊS DO BRASIL
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LOPES, Lucelene et al. Disambiguation of Universal Dependencies part-of-speech tags of closed class words in portuguese. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-45392-2_16. Acesso em: 05 jul. 2024. , 2023
APA
Lopes, L., Fernandes, P., Inácio, M. L., Duran, M. S., & Pardo, T. A. S. (2023). Disambiguation of Universal Dependencies part-of-speech tags of closed class words in portuguese. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-45392-2_16
NLM
Lopes L, Fernandes P, Inácio ML, Duran MS, Pardo TAS. Disambiguation of Universal Dependencies part-of-speech tags of closed class words in portuguese [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14197 241-255.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-45392-2_16
Vancouver
Lopes L, Fernandes P, Inácio ML, Duran MS, Pardo TAS. Disambiguation of Universal Dependencies part-of-speech tags of closed class words in portuguese [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14197 241-255.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-45392-2_16
Trabalho de evento-anais periodico
Analyzing college student dropout risk prediction in real data using walk-forward validation (2023)
Santos, Rodolfo Sanches Saraiva dos ; Ponti, Moacir Antonelli ; Rodrigues, Kamila Rios da Hora
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ENSINO SUPERIOR, EVASÃO ESCOLAR
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SANTOS, Rodolfo Sanches Saraiva dos e PONTI, Moacir Antonelli e RODRIGUES, Kamila Rios da Hora. Analyzing college student dropout risk prediction in real data using walk-forward validation. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-45368-7_19. Acesso em: 05 jul. 2024. , 2023
APA
Santos, R. S. S. dos, Ponti, M. A., & Rodrigues, K. R. da H. (2023). Analyzing college student dropout risk prediction in real data using walk-forward validation. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-45368-7_19
NLM
Santos RSS dos, Ponti MA, Rodrigues KR da H. Analyzing college student dropout risk prediction in real data using walk-forward validation [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14195 291-305.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-45368-7_19
Vancouver
Santos RSS dos, Ponti MA, Rodrigues KR da H. Analyzing college student dropout risk prediction in real data using walk-forward validation [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14195 291-305.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-45368-7_19
Trabalho de evento-anais periodico
A framework for controversial political topics identification using Twitter data (2023)
Sakiyama, Kenzo ; Rodrigues, Lucas de Souza ; Nogueira, Bruno Magalhães ; Matsubara, Edson Takashi ; Romero, Roseli Aparecida Francelin
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, EMOÇÕES, PORTUGUÊS DO BRASIL, MÍDIAS SOCIAIS
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SAKIYAMA, Kenzo et al. A framework for controversial political topics identification using Twitter data. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-45392-2_19. Acesso em: 05 jul. 2024. , 2023
APA
Sakiyama, K., Rodrigues, L. de S., Nogueira, B. M., Matsubara, E. T., & Romero, R. A. F. (2023). A framework for controversial political topics identification using Twitter data. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-45392-2_19
NLM
Sakiyama K, Rodrigues L de S, Nogueira BM, Matsubara ET, Romero RAF. A framework for controversial political topics identification using Twitter data [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14197 283-298.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-45392-2_19
Vancouver
Sakiyama K, Rodrigues L de S, Nogueira BM, Matsubara ET, Romero RAF. A framework for controversial political topics identification using Twitter data [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14197 283-298.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-45392-2_19
Trabalho de evento-anais periodico
Ulysses-RFSQ: a novel method to improve legal information retrieval based on relevance feedback (2022)
Vitório, Douglas ; Souza, Ellen Polliana Ramos ; Martins, Lucas ; Silva, Nádia Felix Felipe da ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Oliveira, Adriano Lorena Inacio de
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: ICMC, EESC E ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE TEXTO, PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL
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VITÓRIO, Douglas et al. Ulysses-RFSQ: a novel method to improve legal information retrieval based on relevance feedback. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-21686-2_6. Acesso em: 05 jul. 2024. , 2022
APA
Vitório, D., Souza, E. P. R., Martins, L., Silva, N. F. F. da, Carvalho, A. C. P. de L. F. de, & Oliveira, A. L. I. de. (2022). Ulysses-RFSQ: a novel method to improve legal information retrieval based on relevance feedback. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-21686-2_6
NLM
Vitório D, Souza EPR, Martins L, Silva NFF da, Carvalho ACP de LF de, Oliveira ALI de. Ulysses-RFSQ: a novel method to improve legal information retrieval based on relevance feedback [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 77-91.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_6
Vancouver
Vitório D, Souza EPR, Martins L, Silva NFF da, Carvalho ACP de LF de, Oliveira ALI de. Ulysses-RFSQ: a novel method to improve legal information retrieval based on relevance feedback [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 77-91.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_6
Trabalho de evento-anais periodico
A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task (2022)
Linhares, Claudio Douglas Gouveia ; Tinoco, Claudiney Ramos ; Ponciano, Jean Roberto ; Oliveira, Gina Maira Barbosa de; Travençolo, Bruno Augusto Nassif
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: ROBÓTICA, VISÃO COMPUTACIONAL, VISUALIZAÇÃO, REDES COMPLEXAS
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LINHARES, Claudio Douglas Gouveia et al. A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-21686-2_5. Acesso em: 05 jul. 2024. , 2022
APA
Linhares, C. D. G., Tinoco, C. R., Ponciano, J. R., Oliveira, G. M. B. de, & Travençolo, B. A. N. (2022). A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-21686-2_5
NLM
Linhares CDG, Tinoco CR, Ponciano JR, Oliveira GMB de, Travençolo BAN. A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 61-76.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_5
Vancouver
Linhares CDG, Tinoco CR, Ponciano JR, Oliveira GMB de, Travençolo BAN. A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 61-76.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_5
Trabalho de evento-anais periodico
Geographic context-based stacking learning for election prediction from socio-economic data (2022)
Silva, Tiago Pinho da ; Parmezan, Antonio Rafael Sabino ; Batista, Gustavo Enrique de Almeida Prado Alves
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, COMPORTAMENTO ELEITORAL
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SILVA, Tiago Pinho da e PARMEZAN, Antonio Rafael Sabino e BATISTA, Gustavo Enrique de Almeida Prado Alves. Geographic context-based stacking learning for election prediction from socio-economic data. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-21686-2_44. Acesso em: 05 jul. 2024. , 2022
APA
Silva, T. P. da, Parmezan, A. R. S., & Batista, G. E. de A. P. A. (2022). Geographic context-based stacking learning for election prediction from socio-economic data. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-21686-2_44
NLM
Silva TP da, Parmezan ARS, Batista GE de APA. Geographic context-based stacking learning for election prediction from socio-economic data [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 641-657.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_44
Vancouver
Silva TP da, Parmezan ARS, Batista GE de APA. Geographic context-based stacking learning for election prediction from socio-economic data [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 641-657.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_44
Trabalho de evento-anais periodico
Sequential short-text classification from multiple textual representations with weak supervision (2022)
Reis Filho, Ivan José ; Martins, Luiz Henrique Dutra ; Parmezan, Antonio Rafael Sabino ; Marcacini, Ricardo Marcondes ; Rezende, Solange Oliveira
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS
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REIS FILHO, Ivan José et al. Sequential short-text classification from multiple textual representations with weak supervision. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-21686-2_12. Acesso em: 05 jul. 2024. , 2022
APA
Reis Filho, I. J., Martins, L. H. D., Parmezan, A. R. S., Marcacini, R. M., & Rezende, S. O. (2022). Sequential short-text classification from multiple textual representations with weak supervision. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-21686-2_12
NLM
Reis Filho IJ, Martins LHD, Parmezan ARS, Marcacini RM, Rezende SO. Sequential short-text classification from multiple textual representations with weak supervision [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 165-179.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_12
Vancouver
Reis Filho IJ, Martins LHD, Parmezan ARS, Marcacini RM, Rezende SO. Sequential short-text classification from multiple textual representations with weak supervision [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 165-179.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_12
Trabalho de evento-anais periodico
Extreme learning machine to graph convolutional networks (2022)
Gonçalves, Thales ; Rodrigues, Francisco Aparecido
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES COMPLEXAS, ALGORITMOS
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GONÇALVES, Thales e RODRIGUES, Francisco Aparecido. Extreme learning machine to graph convolutional networks. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-21689-3_42. Acesso em: 05 jul. 2024. , 2022
APA
Gonçalves, T., & Rodrigues, F. A. (2022). Extreme learning machine to graph convolutional networks. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-21689-3_42
NLM
Gonçalves T, Rodrigues FA. Extreme learning machine to graph convolutional networks [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13654 601-615.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_42
Vancouver
Gonçalves T, Rodrigues FA. Extreme learning machine to graph convolutional networks [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13654 601-615.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_42
Trabalho de evento-anais periodico
Evaluating clustering meta-features for classifier recommendation (2021)
Garcia, Luís Paulo Faina ; Campelo, Felipe ; Ramos, Guilherme N ; Rivolli, Adriano ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, DESCOBERTA DE CONHECIMENTO, RECONHECIMENTO DE PADRÕES
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GARCIA, Luís Paulo Faina et al. Evaluating clustering meta-features for classifier recommendation. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91702-9_30. Acesso em: 05 jul. 2024. , 2021
APA
Garcia, L. P. F., Campelo, F., Ramos, G. N., Rivolli, A., & Carvalho, A. C. P. de L. F. de. (2021). Evaluating clustering meta-features for classifier recommendation. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-91702-9_30
NLM
Garcia LPF, Campelo F, Ramos GN, Rivolli A, Carvalho ACP de LF de. Evaluating clustering meta-features for classifier recommendation [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13073 453-467.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_30
Vancouver
Garcia LPF, Campelo F, Ramos GN, Rivolli A, Carvalho ACP de LF de. Evaluating clustering meta-features for classifier recommendation [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13073 453-467.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_30
Trabalho de evento-anais periodico
A graph-based crossover and soft-repair operators for the steiner tree problem (2021)
Godoi, Giliard Almeida de; Tinós, Renato ; Sanches, Danilo Sipoli
Source: Lecture Notes in Computer Science. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: FFCLRP
Subjects: TEORIA DOS GRAFOS, OTIMIZAÇÃO COMBINATÓRIA, ALGORITMOS GENÉTICOS
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GODOI, Giliard Almeida de e TINÓS, Renato e SANCHES, Danilo Sipoli. A graph-based crossover and soft-repair operators for the steiner tree problem. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91702-9_8. Acesso em: 05 jul. 2024. , 2021
APA
Godoi, G. A. de, Tinós, R., & Sanches, D. S. (2021). A graph-based crossover and soft-repair operators for the steiner tree problem. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-91702-9_8
NLM
Godoi GA de, Tinós R, Sanches DS. A graph-based crossover and soft-repair operators for the steiner tree problem [Internet]. Lecture Notes in Computer Science. 2021 ; 13073 111-125.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_8
Vancouver
Godoi GA de, Tinós R, Sanches DS. A graph-based crossover and soft-repair operators for the steiner tree problem [Internet]. Lecture Notes in Computer Science. 2021 ; 13073 111-125.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_8
Trabalho de evento-anais periodico
Universal dependencies-based PoS tagging refinement through linguistic resources (2021)
Lopes, Lucelene ; Duran, Magali Sanches ; Pardo, Thiago Alexandre Salgueiro
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, LINGUÍSTICA COMPUTACIONAL
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LOPES, Lucelene e DURAN, Magali Sanches e PARDO, Thiago Alexandre Salgueiro. Universal dependencies-based PoS tagging refinement through linguistic resources. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91699-2_41. Acesso em: 05 jul. 2024. , 2021
APA
Lopes, L., Duran, M. S., & Pardo, T. A. S. (2021). Universal dependencies-based PoS tagging refinement through linguistic resources. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-91699-2_41
NLM
Lopes L, Duran MS, Pardo TAS. Universal dependencies-based PoS tagging refinement through linguistic resources [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 601–615.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_41
Vancouver
Lopes L, Duran MS, Pardo TAS. Universal dependencies-based PoS tagging refinement through linguistic resources [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 601–615.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_41
Trabalho de evento-anais periodico
Evaluating topic models in portuguese political comments about bills from Brazil's chamber of deputies (2021)
Silva, Nádia Felix Felipe da; Silva, Marília Costa Rosendo ; Pereira, Fabíola Souza Fernandes; Tarrega, João Pedro Mantovani; Beinotti, João Vitor Pataca ; Fonseca, Márcio; Andrade, Francisco Edmundo; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, LINGUÍSTICA DE CORPUS, APRENDIZADO COMPUTACIONAL, PORTUGUÊS DO BRASIL, PARTICIPAÇÃO POLÍTICA, LEGISLAÇÃO
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ABNT
SILVA, Nádia Felix Felipe da et al. Evaluating topic models in portuguese political comments about bills from Brazil's chamber of deputies. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91699-2_8. Acesso em: 05 jul. 2024. , 2021
APA
Silva, N. F. F. da, Silva, M. C. R., Pereira, F. S. F., Tarrega, J. P. M., Beinotti, J. V. P., Fonseca, M., et al. (2021). Evaluating topic models in portuguese political comments about bills from Brazil's chamber of deputies. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-91699-2_8
NLM
Silva NFF da, Silva MCR, Pereira FSF, Tarrega JPM, Beinotti JVP, Fonseca M, Andrade FE, Carvalho ACP de LF de. Evaluating topic models in portuguese political comments about bills from Brazil's chamber of deputies [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 104–120.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_8
Vancouver
Silva NFF da, Silva MCR, Pereira FSF, Tarrega JPM, Beinotti JVP, Fonseca M, Andrade FE, Carvalho ACP de LF de. Evaluating topic models in portuguese political comments about bills from Brazil's chamber of deputies [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 104–120.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_8
Trabalho de evento-anais periodico
Speech2Phone: a novel and efficient method for training speaker recognition models (2021)
Casanova, Edresson ; Candido Junior, Arnaldo ; Shulby, Christopher Dane ; Oliveira, Frederico Santos de ; Gris, Lucas Rafael Stefanel ; Silva, Hamilton Pereira da ; Aluísio, Sandra Maria ; Ponti, Moacir Antonelli
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE VOZ, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASANOVA, Edresson et al. Speech2Phone: a novel and efficient method for training speaker recognition models. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91699-2_39. Acesso em: 05 jul. 2024. , 2021
APA
Casanova, E., Candido Junior, A., Shulby, C. D., Oliveira, F. S. de, Gris, L. R. S., Silva, H. P. da, et al. (2021). Speech2Phone: a novel and efficient method for training speaker recognition models. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-91699-2_39
NLM
Casanova E, Candido Junior A, Shulby CD, Oliveira FS de, Gris LRS, Silva HP da, Aluísio SM, Ponti MA. Speech2Phone: a novel and efficient method for training speaker recognition models [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 572-585.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_39
Vancouver
Casanova E, Candido Junior A, Shulby CD, Oliveira FS de, Gris LRS, Silva HP da, Aluísio SM, Ponti MA. Speech2Phone: a novel and efficient method for training speaker recognition models [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 572-585.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_39
Trabalho de evento-anais periodico
A heterogeneous network-based positive and unlabeled learning approach to detect fake news (2021)
Souza, Mariana Caravanti de ; Nogueira, Bruno Magalhães ; Rossi, Rafael Geraldeli ; Marcacini, Ricardo Marcondes ; Rezende, Solange Oliveira
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: FAKE NEWS, PROCESSAMENTO DE TEXTO, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Mariana Caravanti de et al. A heterogeneous network-based positive and unlabeled learning approach to detect fake news. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91699-2_1. Acesso em: 05 jul. 2024. , 2021
APA
Souza, M. C. de, Nogueira, B. M., Rossi, R. G., Marcacini, R. M., & Rezende, S. O. (2021). A heterogeneous network-based positive and unlabeled learning approach to detect fake news. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-91699-2_1
NLM
Souza MC de, Nogueira BM, Rossi RG, Marcacini RM, Rezende SO. A heterogeneous network-based positive and unlabeled learning approach to detect fake news [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 3-18.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_1
Vancouver
Souza MC de, Nogueira BM, Rossi RG, Marcacini RM, Rezende SO. A heterogeneous network-based positive and unlabeled learning approach to detect fake news [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 3-18.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_1
Trabalho de evento-anais periodico
A fuzzy approach for classification and novelty detection in data streams under intermediate latency (2020)
Cristiani, André Luis ; Silva, Tiago Pinho da ; Camargo, Heloisa de Arruda
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, FUZZY (INTELIGÊNCIA ARTIFICIAL), RECONHECIMENTO DE PADRÕES, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CRISTIANI, André Luis e SILVA, Tiago Pinho da e CAMARGO, Heloisa de Arruda. A fuzzy approach for classification and novelty detection in data streams under intermediate latency. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61380-8_12. Acesso em: 05 jul. 2024. , 2020
APA
Cristiani, A. L., Silva, T. P. da, & Camargo, H. de A. (2020). A fuzzy approach for classification and novelty detection in data streams under intermediate latency. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61380-8_12
NLM
Cristiani AL, Silva TP da, Camargo H de A. A fuzzy approach for classification and novelty detection in data streams under intermediate latency [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 171-186.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_12
Vancouver
Cristiani AL, Silva TP da, Camargo H de A. A fuzzy approach for classification and novelty detection in data streams under intermediate latency [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 171-186.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_12
Trabalho de evento-anais periodico
Simulating complexity measures on imbalanced datasets (2020)
Barella, Victor Hugo ; Garcia, Luís Paulo Faina ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS, RECONHECIMENTO DE PADRÕES, MATEMÁTICA DA COMPUTAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARELLA, Victor Hugo e GARCIA, Luís Paulo Faina e CARVALHO, André Carlos Ponce de Leon Ferreira de. Simulating complexity measures on imbalanced datasets. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61380-8_34. Acesso em: 05 jul. 2024. , 2020
APA
Barella, V. H., Garcia, L. P. F., & Carvalho, A. C. P. de L. F. de. (2020). Simulating complexity measures on imbalanced datasets. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61380-8_34
NLM
Barella VH, Garcia LPF, Carvalho ACP de LF de. Simulating complexity measures on imbalanced datasets [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 498-512.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_34
Vancouver
Barella VH, Garcia LPF, Carvalho ACP de LF de. Simulating complexity measures on imbalanced datasets [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 498-512.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_34
Trabalho de evento-anais periodico
Identifying fine-grained opinion and classifying polarity on coronavirus pandemic (2020)
Vargas, Francielle Alves ; Santos, Rodolfo Sanches Saraiva dos; Rocha, Pedro Regattieri
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, MINERAÇÃO DE DADOS, MÍDIAS SOCIAIS, PORTUGUÊS DO BRASIL, SURTOS DE DOENÇAS, CORONAVIRUS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VARGAS, Francielle Alves e SANTOS, Rodolfo Sanches Saraiva dos e ROCHA, Pedro Regattieri. Identifying fine-grained opinion and classifying polarity on coronavirus pandemic. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61377-8_35. Acesso em: 05 jul. 2024. , 2020
APA
Vargas, F. A., Santos, R. S. S. dos, & Rocha, P. R. (2020). Identifying fine-grained opinion and classifying polarity on coronavirus pandemic. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61377-8_35
NLM
Vargas FA, Santos RSS dos, Rocha PR. Identifying fine-grained opinion and classifying polarity on coronavirus pandemic [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12319 511-520.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-61377-8_35
Vancouver
Vargas FA, Santos RSS dos, Rocha PR. Identifying fine-grained opinion and classifying polarity on coronavirus pandemic [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12319 511-520.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-61377-8_35

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