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Trabalho de evento-anais periodico
Portuguese emotion detection model using BERTimbau applied to COVID-19 news and replies (2025)
Oliveira, Francisco Braulio; Sichman, Jaime S.
Fonte: Lecture Notes in Computer Science. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: EP
Assuntos: APRENDIZAGEM PROFUNDA, EMOÇÕES, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Francisco Braulio e SICHMAN, Jaime S. Portuguese emotion detection model using BERTimbau applied to COVID-19 news and replies. Lecture Notes in Computer Science. Cham: Escola Politécnica, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-79032-4_19. Acesso em: 05 nov. 2025. , 2025
APA
Oliveira, F. B., & Sichman, J. S. (2025). Portuguese emotion detection model using BERTimbau applied to COVID-19 news and replies. Lecture Notes in Computer Science. Cham: Escola Politécnica, Universidade de São Paulo. doi:10.1007/978-3-031-79032-4_19
NLM
Oliveira FB, Sichman JS. Portuguese emotion detection model using BERTimbau applied to COVID-19 news and replies [Internet]. Lecture Notes in Computer Science. 2025 ; 15413( Ja 2025): 265-280.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_19
Vancouver
Oliveira FB, Sichman JS. Portuguese emotion detection model using BERTimbau applied to COVID-19 news and replies [Internet]. Lecture Notes in Computer Science. 2025 ; 15413( Ja 2025): 265-280.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_19
Trabalho de evento-anais periodico
Machine learning-based solar radiation forecasting for green hydrogen production (2025)
Albuquerque, Mateus Vasconcelos ; Casaca, Wallace Correa de Oliveira
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science and its Applications - ICCSA. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), SISTEMAS FOTOVOLTAICOS, ENERGIA SOLAR
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ABNT
ALBUQUERQUE, Mateus Vasconcelos e CASACA, Wallace Correa de Oliveira. Machine learning-based solar radiation forecasting for green hydrogen production. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-96962-1_3. Acesso em: 05 nov. 2025. , 2025
APA
Albuquerque, M. V., & Casaca, W. C. de O. (2025). Machine learning-based solar radiation forecasting for green hydrogen production. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-96962-1_3
NLM
Albuquerque MV, Casaca WC de O. Machine learning-based solar radiation forecasting for green hydrogen production [Internet]. Lecture Notes in Computer Science. 2025 ; 15650 35-52.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-96962-1_3
Vancouver
Albuquerque MV, Casaca WC de O. Machine learning-based solar radiation forecasting for green hydrogen production [Internet]. Lecture Notes in Computer Science. 2025 ; 15650 35-52.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-96962-1_3
Trabalho de evento-anais periodico
Building FAIR-compliant lakehouses with FLAMI (2025)
Castro, João Pedro de Carvalho ; Vasconcelos, Gabriel Freitas Ximenes de ; Vargas-Solar, Genoveva ; Aguiar, Cristina Dutra de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Advanced Information Systems Engineering - CAiSE. Unidade: ICMC
Assuntos: BANCO DE DADOS, ARQUITETURA DE SOFTWARE, BIG DATA, SISMOLOGIA
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ABNT
CASTRO, João Pedro de Carvalho et al. Building FAIR-compliant lakehouses with FLAMI. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-94571-7_7. Acesso em: 05 nov. 2025. , 2025
APA
Castro, J. P. de C., Vasconcelos, G. F. X. de, Vargas-Solar, G., & Aguiar, C. D. de. (2025). Building FAIR-compliant lakehouses with FLAMI. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-94571-7_7
NLM
Castro JP de C, Vasconcelos GFX de, Vargas-Solar G, Aguiar CD de. Building FAIR-compliant lakehouses with FLAMI [Internet]. Lecture Notes in Computer Science. 2025 ; 15702 113-129.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-94571-7_7
Vancouver
Castro JP de C, Vasconcelos GFX de, Vargas-Solar G, Aguiar CD de. Building FAIR-compliant lakehouses with FLAMI [Internet]. Lecture Notes in Computer Science. 2025 ; 15702 113-129.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-94571-7_7
Trabalho de evento-anais periodico
Evaluating state-of-the-art extractive summarization methods for brazilian portuguese (2025)
Jorge, Germano Antonio Zani; Bezerra, Davi Alves ; Castell, Clarissa; Pardo, Thiago Alexandre Salgueiro
Fonte: Lecture Notes in Computer Science. Nome do evento: Ibero-American Conference on Artificial Intelligence - IBERAMIA. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, PORTUGUÊS DO BRASIL
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ABNT
JORGE, Germano Antonio Zani et al. Evaluating state-of-the-art extractive summarization methods for brazilian portuguese. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-80366-6. Acesso em: 05 nov. 2025. , 2025
APA
Jorge, G. A. Z., Bezerra, D. A., Castell, C., & Pardo, T. A. S. (2025). Evaluating state-of-the-art extractive summarization methods for brazilian portuguese. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-80366-6
NLM
Jorge GAZ, Bezerra DA, Castell C, Pardo TAS. Evaluating state-of-the-art extractive summarization methods for brazilian portuguese [Internet]. Lecture Notes in Computer Science. 2025 ; 15277 510-514.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-80366-6
Vancouver
Jorge GAZ, Bezerra DA, Castell C, Pardo TAS. Evaluating state-of-the-art extractive summarization methods for brazilian portuguese [Internet]. Lecture Notes in Computer Science. 2025 ; 15277 510-514.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-80366-6
Trabalho de evento-anais periodico
Classifying potentially non-compliant portuguese language sentences concerning privacy policies (2025)
Tocchini, Matheus; Rocha, Igor Moraes; Barros, Raphael M; Silva, Jessica O; Garcia, Ananda F; Zular, Felipe; Maranhão, Juliano Souza de Albuquerque ; Sichman, Jaime S.
Fonte: Lecture Notes in Computer Science. Nome do evento: Brazilian Conference on Intelligent Systems, BRACIS 2024. Unidades: EP, FD
Assuntos: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL, DADOS PESSOAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOCCHINI, Matheus et al. Classifying potentially non-compliant portuguese language sentences concerning privacy policies. Lecture Notes in Computer Science. Cham: Escola Politécnica, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-79038-6_8. Acesso em: 05 nov. 2025. , 2025
APA
Tocchini, M., Rocha, I. M., Barros, R. M., Silva, J. O., Garcia, A. F., Zular, F., et al. (2025). Classifying potentially non-compliant portuguese language sentences concerning privacy policies. Lecture Notes in Computer Science. Cham: Escola Politécnica, Universidade de São Paulo. doi:10.1007/978-3-031-79038-6_8
NLM
Tocchini M, Rocha IM, Barros RM, Silva JO, Garcia AF, Zular F, Maranhão JS de A, Sichman JS. Classifying potentially non-compliant portuguese language sentences concerning privacy policies [Internet]. Lecture Notes in Computer Science. 2025 ; 15415 107-121.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_8
Vancouver
Tocchini M, Rocha IM, Barros RM, Silva JO, Garcia AF, Zular F, Maranhão JS de A, Sichman JS. Classifying potentially non-compliant portuguese language sentences concerning privacy policies [Internet]. Lecture Notes in Computer Science. 2025 ; 15415 107-121.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_8
Trabalho de evento-anais periodico
Detection of potentially non-compliant clauses in online ToS in portuguese (2025)
Tocchini, Matheus; Rocha, Igor Moraes; Barros, Raphael M; Silva, Jessica O; Garcia, Ananda F; Zular, Felipe; Maranhão, Juliano; Sichman, Jaime S.
Fonte: Lecture Notes in Computer Science. Nome do evento: Conference on Artificial Intelligence, EPIA 2024. Unidades: EP, FD
Assuntos: LEGISLAÇÃO, DIREITO DO CONSUMIDOR, APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOCCHINI, Matheus et al. Detection of potentially non-compliant clauses in online ToS in portuguese. Lecture Notes in Computer Science. Cham: Escola Politécnica, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-73497-7_23. Acesso em: 05 nov. 2025. , 2025
APA
Tocchini, M., Rocha, I. M., Barros, R. M., Silva, J. O., Garcia, A. F., Zular, F., et al. (2025). Detection of potentially non-compliant clauses in online ToS in portuguese. Lecture Notes in Computer Science. Cham: Escola Politécnica, Universidade de São Paulo. doi:10.1007/978-3-031-73497-7_23
NLM
Tocchini M, Rocha IM, Barros RM, Silva JO, Garcia AF, Zular F, Maranhão J, Sichman JS. Detection of potentially non-compliant clauses in online ToS in portuguese [Internet]. Lecture Notes in Computer Science. 2025 ;14967 284-295.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-73497-7_23
Vancouver
Tocchini M, Rocha IM, Barros RM, Silva JO, Garcia AF, Zular F, Maranhão J, Sichman JS. Detection of potentially non-compliant clauses in online ToS in portuguese [Internet]. Lecture Notes in Computer Science. 2025 ;14967 284-295.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-73497-7_23
Trabalho de evento-anais periodico
A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection (2025)
Freire, Daniela Lopes ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Peterlevitz, Augusto José ; Chinelatto, Mateus Antonio ; Silva, Ricardo Dutra da ; Perea, Juan Fernando Rojas
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, LINHAS AÉREAS DE TRANSMISSÃO DE ENERGIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FREIRE, Daniela Lopes et al. A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-77738-7_31. Acesso em: 05 nov. 2025. , 2025
APA
Freire, D. L., Carvalho, A. C. P. de L. F. de, Peterlevitz, A. J., Chinelatto, M. A., Silva, R. D. da, & Perea, J. F. R. (2025). A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-77738-7_31
NLM
Freire DL, Carvalho ACP de LF de, Peterlevitz AJ, Chinelatto MA, Silva RD da, Perea JFR. A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection [Internet]. Lecture Notes in Computer Science. 2025 ; 15347 373-385.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-77738-7_31
Vancouver
Freire DL, Carvalho ACP de LF de, Peterlevitz AJ, Chinelatto MA, Silva RD da, Perea JFR. A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection [Internet]. Lecture Notes in Computer Science. 2025 ; 15347 373-385.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-77738-7_31

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