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Trabalho de evento-anais periodico
Semi-periodic activation for time series classification (2025)
Medeiros, José Gilberto Barbosa de; Mitri, André Guarnier de ; Silva, Diego Furtado
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, ANÁLISE DE SÉRIES TEMPORAIS, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MEDEIROS, José Gilberto Barbosa de e MITRI, André Guarnier de e SILVA, Diego Furtado. Semi-periodic activation for time series classification. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79038-6_6. Acesso em: 04 nov. 2025. , 2025
APA
Medeiros, J. G. B. de, Mitri, A. G. de, & Silva, D. F. (2025). Semi-periodic activation for time series classification. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79038-6_6
NLM
Medeiros JGB de, Mitri AG de, Silva DF. Semi-periodic activation for time series classification [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15415 76-90.[citado 2025 nov. 04 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_6
Vancouver
Medeiros JGB de, Mitri AG de, Silva DF. Semi-periodic activation for time series classification [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15415 76-90.[citado 2025 nov. 04 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_6
Trabalho de evento-anais periodico
On the assessment of deep learning models for named entity recognition of brazilian legal documents (2023)
Albuquerque, Hidelberg Oliveira ; Souza, Ellen Polliana Ramos ; Oliveira, Adriano Lorena Inacio de ; Macêdo, David ; Zanchettin, Cleber ; Vitório, Douglas ; Silva, Nádia Felix Felipe da ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Artificial Intelligence. Conference titles: Conference on Artificial Intelligence - EPIA. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, RECUPERAÇÃO DA INFORMAÇÃO, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALBUQUERQUE, Hidelberg Oliveira et al. On the assessment of deep learning models for named entity recognition of brazilian legal documents. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-49011-8_8. Acesso em: 04 nov. 2025. , 2023
APA
Albuquerque, H. O., Souza, E. P. R., Oliveira, A. L. I. de, Macêdo, D., Zanchettin, C., Vitório, D., et al. (2023). On the assessment of deep learning models for named entity recognition of brazilian legal documents. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-49011-8_8
NLM
Albuquerque HO, Souza EPR, Oliveira ALI de, Macêdo D, Zanchettin C, Vitório D, Silva NFF da, Carvalho ACP de LF de. On the assessment of deep learning models for named entity recognition of brazilian legal documents [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14116 93-104.[citado 2025 nov. 04 ] Available from: https://doi.org/10.1007/978-3-031-49011-8_8
Vancouver
Albuquerque HO, Souza EPR, Oliveira ALI de, Macêdo D, Zanchettin C, Vitório D, Silva NFF da, Carvalho ACP de LF de. On the assessment of deep learning models for named entity recognition of brazilian legal documents [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14116 93-104.[citado 2025 nov. 04 ] Available from: https://doi.org/10.1007/978-3-031-49011-8_8
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 04 nov. 2025. , 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 2025 nov. 04 ] 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 2025 nov. 04 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_3
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 04 nov. 2025. , 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 2025 nov. 04 ] 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 2025 nov. 04 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_4

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