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Trabalho de evento-anais periodico
A large dataset of spontaneous speech with the accent spoken in São Paulo for automatic speech recognition evaluation (2025)
Lima, Rodrigo de Freitas ; Leal, Sidney Evaldo ; Candido Junior, Arnaldo ; Aluísio, Sandra Maria
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: RECONHECIMENTO DA FALA, CORPUS, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA, Rodrigo de Freitas et al. A large dataset of spontaneous speech with the accent spoken in São Paulo for automatic speech recognition evaluation. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79029-4_3. Acesso em: 05 nov. 2025. , 2025
APA
Lima, R. de F., Leal, S. E., Candido Junior, A., & Aluísio, S. M. (2025). A large dataset of spontaneous speech with the accent spoken in São Paulo for automatic speech recognition evaluation. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79029-4_3
NLM
Lima R de F, Leal SE, Candido Junior A, Aluísio SM. A large dataset of spontaneous speech with the accent spoken in São Paulo for automatic speech recognition evaluation [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15412 33-47.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-79029-4_3
Vancouver
Lima R de F, Leal SE, Candido Junior A, Aluísio SM. A large dataset of spontaneous speech with the accent spoken in São Paulo for automatic speech recognition evaluation [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15412 33-47.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-79029-4_3
Trabalho de evento-anais periodico
Diversity in data for speech processing in brazilian portuguese (2025)
Craveiro, Giovana Meloni ; Galdino, Julio Cesar
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: SÍNTESE DE FALA, PROSÓDIA, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CRAVEIRO, Giovana Meloni e GALDINO, Julio Cesar. Diversity in data for speech processing in brazilian portuguese. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79038-6_9. Acesso em: 05 nov. 2025. , 2025
APA
Craveiro, G. M., & Galdino, J. C. (2025). Diversity in data for speech processing in brazilian portuguese. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79038-6_9
NLM
Craveiro GM, Galdino JC. Diversity in data for speech processing in brazilian portuguese [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15415 122-136.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_9
Vancouver
Craveiro GM, Galdino JC. Diversity in data for speech processing in brazilian portuguese [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15415 122-136.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_9
Trabalho de evento-anais periodico
Multilingual extractive summarization: investigating state-of-the-art methods for english and brazilian portuguese (2025)
Jorge, Germano Antonio Zani; Bezerra, Davi Alves; Xavier, Clarissa Castellã; Pardo, Thiago Alexandre Salgueiro
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, PORTUGUÊS DO BRASIL, LÍNGUA INGLESA
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ABNT
JORGE, Germano Antonio Zani et al. Multilingual extractive summarization: investigating state-of-the-art methods for english and brazilian portuguese. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79032-4_15. Acesso em: 05 nov. 2025. , 2025
APA
Jorge, G. A. Z., Bezerra, D. A., Xavier, C. C., & Pardo, T. A. S. (2025). Multilingual extractive summarization: investigating state-of-the-art methods for english and brazilian portuguese. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79032-4_15
NLM
Jorge GAZ, Bezerra DA, Xavier CC, Pardo TAS. Multilingual extractive summarization: investigating state-of-the-art methods for english and brazilian portuguese [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15413 212-223.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_15
Vancouver
Jorge GAZ, Bezerra DA, Xavier CC, Pardo TAS. Multilingual extractive summarization: investigating state-of-the-art methods for english and brazilian portuguese [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15413 212-223.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_15
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
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: FDRP, FFLCH, EESC E ICMC, EACH
Assuntos: RECONHECIMENTO DE IMAGEM, MINERAÇÃO DE DADOS, DIREITO DO CONSUMIDOR, JURISPRUDÊNCIA, CRÉDITO BANCÁRIO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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 nov. 2025. , 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 2025 nov. 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 2025 nov. 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
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, SINTAXE E SEMÂNTICA DA LINGUAGEM NATURAL, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 05 nov. 2025. , 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 2025 nov. 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 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-45392-2_16
Trabalho de evento-anais periodico
Abstract meaning representation parsing for the brazilian portuguese language (2022)
Anchieta, Rafael Torres ; Pardo, Thiago Alexandre Salgueiro
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: International Conference on Computational Processing of the Portuguese Language - PROPOR. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, LINGUÍSTICA COMPUTACIONAL, SEMÂNTICA, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 05 nov. 2025. , 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 2025 nov. 05 ] 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 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_41
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
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 05 nov. 2025. , 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 2025 nov. 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 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_12
Trabalho de evento-anais periodico
Universal dependencies-based PoS tagging refinement through linguistic resources (2021)
Lopes, Lucelene ; Duran, Magali Sanches ; Pardo, Thiago Alexandre Salgueiro
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: 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: 05 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. 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 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_41

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