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Trabalho de evento-anais periodico
A new genetic improvement operator based on frequency analysis for genetic algorithms applied to job shop scheduling problem (2021)
Viana, Monique Simplicio ; Contreras, Rodrigo Colnago ; Morandin Junior, Orides
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Artificial Intelligence and Soft Computing - ICAISC. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, COMPUTAÇÃO BIOINSPIRADA, OTIMIZAÇÃO COMBINATÓRIA
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ABNT
VIANA, Monique Simplicio e CONTRERAS, Rodrigo Colnago e MORANDIN JUNIOR, Orides. A new genetic improvement operator based on frequency analysis for genetic algorithms applied to job shop scheduling problem. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-87986-0_39. Acesso em: 19 nov. 2025. , 2021
APA
Viana, M. S., Contreras, R. C., & Morandin Junior, O. (2021). A new genetic improvement operator based on frequency analysis for genetic algorithms applied to job shop scheduling problem. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-87986-0_39
NLM
Viana MS, Contreras RC, Morandin Junior O. A new genetic improvement operator based on frequency analysis for genetic algorithms applied to job shop scheduling problem [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 12854 434-450.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-87986-0_39
Vancouver
Viana MS, Contreras RC, Morandin Junior O. A new genetic improvement operator based on frequency analysis for genetic algorithms applied to job shop scheduling problem [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 12854 434-450.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-87986-0_39
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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ABNT
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: 19 nov. 2025. , 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 2025 nov. 19 ] 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 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_30
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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ABNT
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: 19 nov. 2025. , 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 2025 nov. 19 ] 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 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_41
Trabalho de evento-anais periodico
Evaluating semantic similarity methods to build semantic predictability norms of reading data (2021)
Leal, Sidney Evaldo ; Casanova, Edresson ; Paetzold, Gustavo Henrique ; Aluísio, Sandra Maria
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Text, Speech, and Dialogue - TSD. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, LINGUÍSTICA DE CORPUS, SEMÂNTICA, PORTUGUÊS DO BRASIL
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ABNT
LEAL, Sidney Evaldo et al. Evaluating semantic similarity methods to build semantic predictability norms of reading data. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-83527-9_3. Acesso em: 19 nov. 2025. , 2021
APA
Leal, S. E., Casanova, E., Paetzold, G. H., & Aluísio, S. M. (2021). Evaluating semantic similarity methods to build semantic predictability norms of reading data. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-83527-9_3
NLM
Leal SE, Casanova E, Paetzold GH, Aluísio SM. Evaluating semantic similarity methods to build semantic predictability norms of reading data [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 12848 35-47.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-83527-9_3
Vancouver
Leal SE, Casanova E, Paetzold GH, Aluísio SM. Evaluating semantic similarity methods to build semantic predictability norms of reading data [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 12848 35-47.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-83527-9_3
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
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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: 19 nov. 2025. , 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 2025 nov. 19 ] 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 2025 nov. 19 ] 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
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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: 19 nov. 2025. , 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 2025 nov. 19 ] 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 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_1
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: 19 nov. 2025. , 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 2025 nov. 19 ] 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 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_8
Trabalho de evento-anais periodico
DEEPAGÉ: answering questions in portuguese about the brazilian environment (2021)
Cação, Flávio Nakasato ; José, Marcos Menon; Oliveira, André Seidel ; Spindola, Stefano de Avila Souza; Reali Costa, Anna Helena ; Cozman, Fabio Gagliardi
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS 2021: proceedings, part II. Unidade: EP
Subjects: MEIO AMBIENTE, PROCESSAMENTO DE LINGUAGEM NATURAL, MUDANÇA CLIMÁTICA
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ABNT
CAÇÃO, Flávio Nakasato et al. DEEPAGÉ: answering questions in portuguese about the brazilian environment. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91699-2_29. Acesso em: 19 nov. 2025. , 2021
APA
Cação, F. N., José, M. M., Oliveira, A. S., Spindola, S. de A. S., Reali Costa, A. H., & Cozman, F. G. (2021). DEEPAGÉ: answering questions in portuguese about the brazilian environment. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-91699-2_29
NLM
Cação FN, José MM, Oliveira AS, Spindola S de AS, Reali Costa AH, Cozman FG. DEEPAGÉ: answering questions in portuguese about the brazilian environment [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 419-433.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_29
Vancouver
Cação FN, José MM, Oliveira AS, Spindola S de AS, Reali Costa AH, Cozman FG. DEEPAGÉ: answering questions in portuguese about the brazilian environment [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 419-433.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_29

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