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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: 09 maio 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 maio 09 ] 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 maio 09 ] Available from: https://doi.org/10.1007/978-3-031-45368-7_5
Trabalho de evento-anais periodico
Model performance prediction: a meta-learning approach for concept drift detection (2023)
Melo, Fernanda Amaral ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Lorena, Ana Carolina ; Garcia, Luís Paulo Faina
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Hybrid Artificial Intelligence Systems - HAIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS)
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MELO, Fernanda Amaral et al. Model performance prediction: a meta-learning approach for concept drift detection. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-40725-3_5. Acesso em: 09 maio 2024. , 2023
APA
Melo, F. A., Carvalho, A. C. P. de L. F. de, Lorena, A. C., & Garcia, L. P. F. (2023). Model performance prediction: a meta-learning approach for concept drift detection. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-40725-3_5
NLM
Melo FA, Carvalho ACP de LF de, Lorena AC, Garcia LPF. Model performance prediction: a meta-learning approach for concept drift detection [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14001 51-62.[citado 2024 maio 09 ] Available from: https://doi.org/10.1007/978-3-031-40725-3_5
Vancouver
Melo FA, Carvalho ACP de LF de, Lorena AC, Garcia LPF. Model performance prediction: a meta-learning approach for concept drift detection [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14001 51-62.[citado 2024 maio 09 ] Available from: https://doi.org/10.1007/978-3-031-40725-3_5
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: 09 maio 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 maio 09 ] 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 maio 09 ] 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: 09 maio 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 maio 09 ] 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 maio 09 ] 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: 09 maio 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 maio 09 ] 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 maio 09 ] Available from: https://doi.org/10.1007/978-3-031-45392-2_19
Trabalho de evento-anais periodico
UlyssesNER-Br: a corpus of brazilian legislative documents for named entity recognition (2022)
Albuquerque, Hidelberg Oliveira ; Costa, Rosimeire ; Silvestre, Gabriel Dalforno ; Souza, Ellen Polliana Ramos ; Silva, Nádia Felix Felipe da ; Vitório, Douglas ; Moriyama, Gyovana ; Martins, Lucas ; Soezima, Luiza ; Nunes, Augusto ; Siqueira, Felipe Alves ; Tarrega, João Pedro Mantovani ; Beinotti, João Vitor Pataca ; Dias, Márcio de Souza ; Silva, Matheus ; Gardini, Miguel ; Silva, Vinicius Adolfo Pereira da ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Oliveira, Adriano Lorena Inacio de
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Computational Processing of the Portuguese Language - PROPOR. Unidades: ICMC, EESC E ICMC, IME, EESC
Subjects: RECONHECIMENTO DE TEXTO, PROCESSAMENTO DE LINGUAGEM NATURAL, RECUPERAÇÃO DA INFORMAÇÃO, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, CORPUS
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ABNT
ALBUQUERQUE, Hidelberg Oliveira et al. UlyssesNER-Br: a corpus of brazilian legislative documents for named entity recognition. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-98305-5_1. Acesso em: 09 maio 2024. , 2022
APA
Albuquerque, H. O., Costa, R., Silvestre, G. D., Souza, E. P. R., Silva, N. F. F. da, Vitório, D., et al. (2022). UlyssesNER-Br: a corpus of brazilian legislative documents for named entity recognition. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-98305-5_1
NLM
Albuquerque HO, Costa R, Silvestre GD, Souza EPR, Silva NFF da, Vitório D, Moriyama G, Martins L, Soezima L, Nunes A, Siqueira FA, Tarrega JPM, Beinotti JVP, Dias M de S, Silva M, Gardini M, Silva VAP da, Carvalho ACP de LF de, Oliveira ALI de. UlyssesNER-Br: a corpus of brazilian legislative documents for named entity recognition [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13208 3-14.[citado 2024 maio 09 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_1
Vancouver
Albuquerque HO, Costa R, Silvestre GD, Souza EPR, Silva NFF da, Vitório D, Moriyama G, Martins L, Soezima L, Nunes A, Siqueira FA, Tarrega JPM, Beinotti JVP, Dias M de S, Silva M, Gardini M, Silva VAP da, Carvalho ACP de LF de, Oliveira ALI de. UlyssesNER-Br: a corpus of brazilian legislative documents for named entity recognition [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13208 3-14.[citado 2024 maio 09 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_1
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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ABNT
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: 09 maio 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 maio 09 ] 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 maio 09 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_6
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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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: 09 maio 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 maio 09 ] 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 maio 09 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_41
Trabalho de evento-anais periodico
Content-based lawsuits document image retrieval (2022)
Freire, Daniela Lopes ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Feltran, Leonardo Carneiro ; Nagamatsu, Lara Ayumi; Silva, Kelly Cristina Ramos da ; Firmino, Claudemir ; Ferreira, João Eduardo ; Takecian, Pedro Losco ; Carlotti, Danilo Panzeri ; Lima, Francisco Antonio Cavalcanti ; Portela, Roberto Mendes
Source: Lecture Notes in Artificial Intelligence. Conference titles: Conference on Artificial Intelligence - EPIA. Unidades: ICMC, IME
Subjects: APRENDIZAGEM PROFUNDA, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, REDES NEURAIS
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ABNT
FREIRE, Daniela Lopes et al. Content-based lawsuits document image retrieval. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-16474-3_3. Acesso em: 09 maio 2024. , 2022
APA
Freire, D. L., Carvalho, A. C. P. de L. F. de, Feltran, L. C., Nagamatsu, L. A., Silva, K. C. R. da, Firmino, C., et al. (2022). Content-based lawsuits document image retrieval. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-16474-3_3
NLM
Freire DL, Carvalho ACP de LF de, Feltran LC, Nagamatsu LA, Silva KCR da, Firmino C, Ferreira JE, Takecian PL, Carlotti DP, Lima FAC, Portela RM. Content-based lawsuits document image retrieval [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13566 29-40.[citado 2024 maio 09 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_3
Vancouver
Freire DL, Carvalho ACP de LF de, Feltran LC, Nagamatsu LA, Silva KCR da, Firmino C, Ferreira JE, Takecian PL, Carlotti DP, Lima FAC, Portela RM. Content-based lawsuits document image retrieval [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13566 29-40.[citado 2024 maio 09 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_3
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: 09 maio 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 maio 09 ] 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 maio 09 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_44
Trabalho de evento-anais periodico
Lawsuits document images processing classification (2022)
Freire, Daniela Lopes ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Feltran, Leonardo Carneiro ; Nagamatsu, Lara Ayumi; Silva, Kelly Cristina Ramos da ; Firmino, Claudemir ; Ferreira, João Eduardo ; Takecian, Pedro Losco ; Carlotti, Danilo Panzeri ; Lima, Francisco Antonio Cavalcanti ; Portela, Roberto Mendes
Source: Lecture Notes in Artificial Intelligence. Conference titles: Conference on Artificial Intelligence - EPIA. Unidades: ICMC, IME
Subjects: APRENDIZAGEM PROFUNDA, REDES NEURAIS, RECONHECIMENTO DE IMAGEM
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ABNT
FREIRE, Daniela Lopes et al. Lawsuits document images processing classification. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-16474-3_4. Acesso em: 09 maio 2024. , 2022
APA
Freire, D. L., Carvalho, A. C. P. de L. F. de, Feltran, L. C., Nagamatsu, L. A., Silva, K. C. R. da, Firmino, C., et al. (2022). Lawsuits document images processing classification. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-16474-3_4
NLM
Freire DL, Carvalho ACP de LF de, Feltran LC, Nagamatsu LA, Silva KCR da, Firmino C, Ferreira JE, Takecian PL, Carlotti DP, Lima FAC, Portela RM. Lawsuits document images processing classification [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13566 41-52.[citado 2024 maio 09 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_4
Vancouver
Freire DL, Carvalho ACP de LF de, Feltran LC, Nagamatsu LA, Silva KCR da, Firmino C, Ferreira JE, Takecian PL, Carlotti DP, Lima FAC, Portela RM. Lawsuits document images processing classification [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13566 41-52.[citado 2024 maio 09 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_4
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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ABNT
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: 09 maio 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 maio 09 ] 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 maio 09 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_12
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: 09 maio 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 maio 09 ] 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 maio 09 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_7
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: 09 maio 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 maio 09 ] 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 maio 09 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 09 maio 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 maio 09 ] 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 maio 09 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_31
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 09 maio 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 maio 09 ] 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 maio 09 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_30
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 09 maio 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 maio 09 ] 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 maio 09 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 09 maio 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 maio 09 ] 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 maio 09 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_41
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: 09 maio 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 maio 09 ] 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 maio 09 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_1
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: 09 maio 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 maio 09 ] 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 maio 09 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_39

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