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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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ABNT
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: 02 nov. 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 nov. 02 ] 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 nov. 02 ] 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: 02 nov. 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 nov. 02 ] 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 nov. 02 ] 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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ABNT
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: 02 nov. 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 nov. 02 ] 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 nov. 02 ] 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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ABNT
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: 02 nov. 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 nov. 02 ] 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 nov. 02 ] 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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ABNT
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: 02 nov. 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 nov. 02 ] 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 nov. 02 ] Available from: https://doi.org/10.1007/978-3-031-45392-2_19
Trabalho de evento-anais periodico
Abstract meaning representation parsing for the brazilian portuguese language (2022)
Anchieta, Rafael Torres ; Pardo, Thiago Alexandre Salgueiro
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Computational Processing of the Portuguese Language - PROPOR. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, LINGUÍSTICA COMPUTACIONAL, SEMÂNTICA, PORTUGUÊS DO BRASIL
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ABNT
ANCHIETA, Rafael Torres e PARDO, Thiago Alexandre Salgueiro. Abstract meaning representation parsing for the brazilian portuguese language. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-98305-5_41. Acesso em: 02 nov. 2024. , 2022
APA
Anchieta, R. T., & Pardo, T. A. S. (2022). Abstract meaning representation parsing for the brazilian portuguese language. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-98305-5_41
NLM
Anchieta RT, Pardo TAS. Abstract meaning representation parsing for the brazilian portuguese language [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13208 429-434.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_41
Vancouver
Anchieta RT, Pardo TAS. Abstract meaning representation parsing for the brazilian portuguese language [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13208 429-434.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_41
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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ABNT
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: 02 nov. 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 nov. 02 ] 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 nov. 02 ] 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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ABNT
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: 02 nov. 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 nov. 02 ] 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 nov. 02 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_44
Trabalho de evento-anais periodico
Implicit opinion aspect clues in portuguese texts: analysis and categorization (2022)
Machado, Mateus Tarcinalli ; Pardo, Thiago Alexandre Salgueiro ; Ruiz, Evandro Eduardo Seron ; Felippo, Ariani di ; Vargas, Francielle Alves
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on International Conference - PROPOR. Unidades: ICMC, FFCLRP
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, CORPUS, PORTUGUÊS DO BRASIL
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ABNT
MACHADO, Mateus Tarcinalli et al. Implicit opinion aspect clues in portuguese texts: analysis and categorization. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-98305-5_7. Acesso em: 02 nov. 2024. , 2022
APA
Machado, M. T., Pardo, T. A. S., Ruiz, E. E. S., Felippo, A. di, & Vargas, F. A. (2022). Implicit opinion aspect clues in portuguese texts: analysis and categorization. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-98305-5_7
NLM
Machado MT, Pardo TAS, Ruiz EES, Felippo A di, Vargas FA. Implicit opinion aspect clues in portuguese texts: analysis and categorization [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13208 68-78.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_7
Vancouver
Machado MT, Pardo TAS, Ruiz EES, Felippo A di, Vargas FA. Implicit opinion aspect clues in portuguese texts: analysis and categorization [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13208 68-78.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_7
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: 02 nov. 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 nov. 02 ] 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 nov. 02 ] 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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ABNT
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: 02 nov. 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 nov. 02 ] 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 nov. 02 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_42
Trabalho de evento-anais periodico
Brazilian portuguese speech recognition using Wav2vec 2.0 (2022)
Gris, Lucas Rafael Stefanel ; Casanova, Edresson ; Oliveira, Frederico Santos de ; Soares, Anderson da Silva ; Candido Junior, Arnaldo
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Computational Processing of the Portuguese Language - PROPOR. Unidade: ICMC
Subjects: RECONHECIMENTO DA FALA, APRENDIZADO COMPUTACIONAL, PORTUGUÊS DO BRASIL
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ABNT
GRIS, Lucas Rafael Stefanel et al. Brazilian portuguese speech recognition using Wav2vec 2.0. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-98305-5_31. Acesso em: 02 nov. 2024. , 2022
APA
Gris, L. R. S., Casanova, E., Oliveira, F. S. de, Soares, A. da S., & Candido Junior, A. (2022). Brazilian portuguese speech recognition using Wav2vec 2.0. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-98305-5_31
NLM
Gris LRS, Casanova E, Oliveira FS de, Soares A da S, Candido Junior A. Brazilian portuguese speech recognition using Wav2vec 2.0 [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13208 333-343.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_31
Vancouver
Gris LRS, Casanova E, Oliveira FS de, Soares A da S, Candido Junior A. Brazilian portuguese speech recognition using Wav2vec 2.0 [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13208 333-343.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_31
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: 02 nov. 2024. , 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 2024 nov. 02 ] 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 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-83527-9_3
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: 02 nov. 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 nov. 02 ] 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 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_41
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: 02 nov. 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 nov. 02 ] 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 nov. 02 ] 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: 02 nov. 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 nov. 02 ] 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 nov. 02 ] 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: 02 nov. 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 nov. 02 ] 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 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_12
Trabalho de evento-anais periodico
Particle competition for unbalanced community detection in complex networks (2020)
Martins, Luan Vinicius Carvalho; Liang, Zhao
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: FFCLRP, ICMC
Assunto: REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTINS, Luan Vinicius Carvalho e LIANG, Zhao. Particle competition for unbalanced community detection in complex networks. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61380-8_22. Acesso em: 02 nov. 2024. , 2020
APA
Martins, L. V. C., & Liang, Z. (2020). Particle competition for unbalanced community detection in complex networks. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61380-8_22
NLM
Martins LVC, Liang Z. Particle competition for unbalanced community detection in complex networks [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 322-336.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_22
Vancouver
Martins LVC, Liang Z. Particle competition for unbalanced community detection in complex networks [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 322-336.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_22
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: 02 nov. 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 nov. 02 ] 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 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-61377-8_35
Trabalho de evento-anais periodico
Quantifying temporal novelty in social networks using time-varying graphs and concept drift detection (2020)
Santos, Victor M. G. dos; Mello, Rodrigo Fernandes de ; Nogueira, Tatiane ; Rios, Ricardo A
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS, MÍDIAS SOCIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Victor M. G. dos et al. Quantifying temporal novelty in social networks using time-varying graphs and concept drift detection. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61380-8_44. Acesso em: 02 nov. 2024. , 2020
APA
Santos, V. M. G. dos, Mello, R. F. de, Nogueira, T., & Rios, R. A. (2020). Quantifying temporal novelty in social networks using time-varying graphs and concept drift detection. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61380-8_44
NLM
Santos VMG dos, Mello RF de, Nogueira T, Rios RA. Quantifying temporal novelty in social networks using time-varying graphs and concept drift detection [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 650-664.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_44
Vancouver
Santos VMG dos, Mello RF de, Nogueira T, Rios RA. Quantifying temporal novelty in social networks using time-varying graphs and concept drift detection [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 650-664.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_44

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