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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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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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1007/978-3-031-96962-1_3
Trabalho de evento-anais periodico
Making a pipeline production-ready: challenges and lessons learned in the healthcare domain (2025)
Lawand, Daniel Angelo Esteves ; Lam, Lucas Quaresma Medina ; Bolgheroni, Roberto Oliveira ; Ferreira, Renato Cordeiro ; Goldman, Alfredo ; Finger, Marcelo
Fonte: Lecture Notes in Computer Science. Nome do evento: Software Architecture. ECSA 2025 Tracks and Workshops. Unidades: IME, ICMC
Assuntos: ARQUITETURA DE SOFTWARE, APRENDIZADO COMPUTACIONAL, CUIDADOS MÉDICOS, QUALIDADE DE PROCESSO DE SOFTWARE
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LAWAND, Daniel Angelo Esteves et al. Making a pipeline production-ready: challenges and lessons learned in the healthcare domain. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-04403-7_30. Acesso em: 19 nov. 2025. , 2025
APA
Lawand, D. A. E., Lam, L. Q. M., Bolgheroni, R. O., Ferreira, R. C., Goldman, A., & Finger, M. (2025). Making a pipeline production-ready: challenges and lessons learned in the healthcare domain. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-032-04403-7_30
NLM
Lawand DAE, Lam LQM, Bolgheroni RO, Ferreira RC, Goldman A, Finger M. Making a pipeline production-ready: challenges and lessons learned in the healthcare domain [Internet]. Lecture Notes in Computer Science. 2025 ;[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-032-04403-7_30
Vancouver
Lawand DAE, Lam LQM, Bolgheroni RO, Ferreira RC, Goldman A, Finger M. Making a pipeline production-ready: challenges and lessons learned in the healthcare domain [Internet]. Lecture Notes in Computer Science. 2025 ;[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-032-04403-7_30
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
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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: 19 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. 19 ] 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. 19 ] 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
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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: 19 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. 19 ] 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. 19 ] 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
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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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1007/978-3-031-77738-7_31
Trabalho de evento-anais periodico
DIF-SR: a differential item functioning-based sample reweighting method (2024)
Minatel, Diego ; Parmezan, Antonio Rafael Sabino ; Cúri, Mariana ; Lopes, Alneu de Andrade
Fonte: Lecture Notes in Computer Science. Nome do evento: Iberoamerican Congress on Pattern Recognition - CIARP. Unidade: ICMC
Assuntos: TEORIA DE RESPOSTA AO ITEM, APRENDIZADO COMPUTACIONAL
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MINATEL, Diego et al. DIF-SR: a differential item functioning-based sample reweighting method. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-49018-7_45. Acesso em: 19 nov. 2025. , 2024
APA
Minatel, D., Parmezan, A. R. S., Cúri, M., & Lopes, A. de A. (2024). DIF-SR: a differential item functioning-based sample reweighting method. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-49018-7_45
NLM
Minatel D, Parmezan ARS, Cúri M, Lopes A de A. DIF-SR: a differential item functioning-based sample reweighting method [Internet]. Lecture Notes in Computer Science. 2024 ; 14469 630-645.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-031-49018-7_45
Vancouver
Minatel D, Parmezan ARS, Cúri M, Lopes A de A. DIF-SR: a differential item functioning-based sample reweighting method [Internet]. Lecture Notes in Computer Science. 2024 ; 14469 630-645.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-031-49018-7_45
Trabalho de evento-anais periodico
Threshold-based classification to enhance confidence in open set of legal texts (2023)
Freire, Daniela Lopes ; Almeida, Alex Marino de ; Dias, Márcio de Souza ; Rivolli, Adriano ; Pereira, Fabíola Souza Fernandes ; Godoi, Giliard Almeida de ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO
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FREIRE, Daniela Lopes et al. Threshold-based classification to enhance confidence in open set of legal texts. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-48232-8_25. Acesso em: 19 nov. 2025. , 2023
APA
Freire, D. L., Almeida, A. M. de, Dias, M. de S., Rivolli, A., Pereira, F. S. F., Godoi, G. A. de, & Carvalho, A. C. P. de L. F. de. (2023). Threshold-based classification to enhance confidence in open set of legal texts. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-48232-8_25
NLM
Freire DL, Almeida AM de, Dias M de S, Rivolli A, Pereira FSF, Godoi GA de, Carvalho ACP de LF de. Threshold-based classification to enhance confidence in open set of legal texts [Internet]. Lecture Notes in Computer Science. 2023 ; 14404 269-280.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-031-48232-8_25
Vancouver
Freire DL, Almeida AM de, Dias M de S, Rivolli A, Pereira FSF, Godoi GA de, Carvalho ACP de LF de. Threshold-based classification to enhance confidence in open set of legal texts [Internet]. Lecture Notes in Computer Science. 2023 ; 14404 269-280.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-031-48232-8_25
Trabalho de evento-anais periodico
Full motion focus: convolutional module for improved left ventricle segmentation over 4D MRI (2022)
Lima, Daniel Mário de ; Graves, Catharine de Vita ; Gutierrez, Marco Antonio ; Machado, Bruno Brandoli ; Rodrigues Junior, José Fernando
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Image Analysis and Processing - ICIAP. Unidades: EP, ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, DIAGNÓSTICO POR IMAGEM, DIAGNÓSTICO POR COMPUTADOR, TECNOLOGIAS DA SAÚDE, RESSONÂNCIA MAGNÉTICA, TESTES DE FUNÇÃO CARDÍACA
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LIMA, Daniel Mário de et al. Full motion focus: convolutional module for improved left ventricle segmentation over 4D MRI. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-06427-2_37. Acesso em: 19 nov. 2025. , 2022
APA
Lima, D. M. de, Graves, C. de V., Gutierrez, M. A., Machado, B. B., & Rodrigues Junior, J. F. (2022). Full motion focus: convolutional module for improved left ventricle segmentation over 4D MRI. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-06427-2_37
NLM
Lima DM de, Graves C de V, Gutierrez MA, Machado BB, Rodrigues Junior JF. Full motion focus: convolutional module for improved left ventricle segmentation over 4D MRI [Internet]. Lecture Notes in Computer Science. 2022 ; 13231 438-450.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-031-06427-2_37
Vancouver
Lima DM de, Graves C de V, Gutierrez MA, Machado BB, Rodrigues Junior JF. Full motion focus: convolutional module for improved left ventricle segmentation over 4D MRI [Internet]. Lecture Notes in Computer Science. 2022 ; 13231 438-450.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-031-06427-2_37
Trabalho de evento-anais periodico
The use of digital reports to support the visualization and identification of university dropout data (2022)
Santos, Rodolfo Sanches Saraiva dos ; Ponti, Moacir Antonelli ; Rodrigues, Kamila Rios da Hora
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Human-Computer Interaction - HCII. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, VISUALIZAÇÃO, EVASÃO ESCOLAR, SAÚDE MENTAL, UNIVERSIDADE PÚBLICA
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SANTOS, Rodolfo Sanches Saraiva dos e PONTI, Moacir Antonelli e RODRIGUES, Kamila Rios da Hora. The use of digital reports to support the visualization and identification of university dropout data. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-06424-1_23. Acesso em: 19 nov. 2025. , 2022
APA
Santos, R. S. S. dos, Ponti, M. A., & Rodrigues, K. R. da H. (2022). The use of digital reports to support the visualization and identification of university dropout data. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-06424-1_23
NLM
Santos RSS dos, Ponti MA, Rodrigues KR da H. The use of digital reports to support the visualization and identification of university dropout data [Internet]. Lecture Notes in Computer Science. 2022 ; 13305 308-323.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-031-06424-1_23
Vancouver
Santos RSS dos, Ponti MA, Rodrigues KR da H. The use of digital reports to support the visualization and identification of university dropout data [Internet]. Lecture Notes in Computer Science. 2022 ; 13305 308-323.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-031-06424-1_23
Trabalho de evento-anais periodico
‘Right to be forgotten’: analyzing the impact of forgetting data using K-NN algorithm in data stream learning (2022)
Libera, Caio Della ; Miranda, Leandro ; Bernardini, Flávia Cristina ; Mastelini, Saulo Martiello ; Viterbo, José
Fonte: Lecture Notes in Computer Science. Nome do evento: IFIP WG 8.5 International Conference on Electronic Government - EGOV. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, DIREITOS E GARANTIAS INDIVIDUAIS
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LIBERA, Caio Della et al. ‘Right to be forgotten’: analyzing the impact of forgetting data using K-NN algorithm in data stream learning. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-15086-9_34. Acesso em: 19 nov. 2025. , 2022
APA
Libera, C. D., Miranda, L., Bernardini, F. C., Mastelini, S. M., & Viterbo, J. (2022). ‘Right to be forgotten’: analyzing the impact of forgetting data using K-NN algorithm in data stream learning. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-15086-9_34
NLM
Libera CD, Miranda L, Bernardini FC, Mastelini SM, Viterbo J. ‘Right to be forgotten’: analyzing the impact of forgetting data using K-NN algorithm in data stream learning [Internet]. Lecture Notes in Computer Science. 2022 ; 13391 530-542.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-031-15086-9_34
Vancouver
Libera CD, Miranda L, Bernardini FC, Mastelini SM, Viterbo J. ‘Right to be forgotten’: analyzing the impact of forgetting data using K-NN algorithm in data stream learning [Internet]. Lecture Notes in Computer Science. 2022 ; 13391 530-542.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-031-15086-9_34
Trabalho de evento-anais periodico
Time-series in hyper-parameter initialization of machine learning techniques (2021)
Horváth, Tomás ; Mantovani, Rafael Gomes ; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, COMPONENTES PRINCIPAIS, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
HORVÁTH, Tomás e MANTOVANI, Rafael Gomes e CARVALHO, André Carlos Ponce de Leon Ferreira de. Time-series in hyper-parameter initialization of machine learning techniques. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91608-4_25. Acesso em: 19 nov. 2025. , 2021
APA
Horváth, T., Mantovani, R. G., & Carvalho, A. C. P. de L. F. de. (2021). Time-series in hyper-parameter initialization of machine learning techniques. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-91608-4_25
NLM
Horváth T, Mantovani RG, Carvalho ACP de LF de. Time-series in hyper-parameter initialization of machine learning techniques [Internet]. Lecture Notes in Computer Science. 2021 ; 13113 246-258.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-91608-4_25
Vancouver
Horváth T, Mantovani RG, Carvalho ACP de LF de. Time-series in hyper-parameter initialization of machine learning techniques [Internet]. Lecture Notes in Computer Science. 2021 ; 13113 246-258.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-91608-4_25
Trabalho de evento-anais periodico
Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes (2021)
Ienco, Dino ; Pereira-Santos, Davi; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Artificial Neural Networks - ICANN. Unidade: ICMC
Assuntos: ANÁLISE DE SÉRIES TEMPORAIS, REDES NEURAIS, APRENDIZADO COMPUTACIONAL
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ABNT
IENCO, Dino e PEREIRA-SANTOS, Davi e CARVALHO, André Carlos Ponce de Leon Ferreira de. Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-86383-8_10. Acesso em: 19 nov. 2025. , 2021
APA
Ienco, D., Pereira-Santos, D., & Carvalho, A. C. P. de L. F. de. (2021). Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-86383-8_10
NLM
Ienco D, Pereira-Santos D, Carvalho ACP de LF de. Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes [Internet]. Lecture Notes in Computer Science. 2021 ; 12895 126-137.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-86383-8_10
Vancouver
Ienco D, Pereira-Santos D, Carvalho ACP de LF de. Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes [Internet]. Lecture Notes in Computer Science. 2021 ; 12895 126-137.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-86383-8_10
Artigo de periodico
Detecting early signs of insufficiency in COVID-19 patients from CBC tests through a supervised learning approach (2021)
Colliri, Tiago; Minakawa, Marcia Michie; Liang, Zhao
Fonte: Lecture Notes in Computer Science. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: FFCLRP, FSP
Assuntos: REDES COMPLEXAS, COVID-19, PROGNÓSTICO, BIOMARCADORES, CONTAGEM DE CÉLULAS SANGUÍNEAS, APRENDIZADO COMPUTACIONAL
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ABNT
COLLIRI, Tiago e MINAKAWA, Marcia Michie e LIANG, Zhao. Detecting early signs of insufficiency in COVID-19 patients from CBC tests through a supervised learning approach. Lecture Notes in Computer Science, v. 13074, p. 42-57, 2021Tradução . . Disponível em: https://doi.org/10.1007/978-3-030-91699-2_4. Acesso em: 19 nov. 2025.
APA
Colliri, T., Minakawa, M. M., & Liang, Z. (2021). Detecting early signs of insufficiency in COVID-19 patients from CBC tests through a supervised learning approach. Lecture Notes in Computer Science, 13074, 42-57. doi:10.1007/978-3-030-91699-2_4
NLM
Colliri T, Minakawa MM, Liang Z. Detecting early signs of insufficiency in COVID-19 patients from CBC tests through a supervised learning approach [Internet]. Lecture Notes in Computer Science. 2021 ; 13074 42-57.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_4
Vancouver
Colliri T, Minakawa MM, Liang Z. Detecting early signs of insufficiency in COVID-19 patients from CBC tests through a supervised learning approach [Internet]. Lecture Notes in Computer Science. 2021 ; 13074 42-57.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_4
Artigo de periodico
Anomaly detection in Brazilian Federal Government purchase cards through unsupervised learning techniques (2021)
Nunes, Breno; Colliri, Tiago; Lauretto, Marcelo de Souza ; Liu, Weiguang; Liang, Zhao
Fonte: Lecture Notes in Computer Science. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: EACH, FFCLRP
Assuntos: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, CARTÃO MAGNÉTICO, PADRÕES DE SOFTWARE
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ABNT
NUNES, Breno et al. Anomaly detection in Brazilian Federal Government purchase cards through unsupervised learning techniques. Lecture Notes in Computer Science, v. 13074, p. 19-32, 2021Tradução . . Disponível em: https://doi.org/10.1007/978-3-030-91699-2_2. Acesso em: 19 nov. 2025.
APA
Nunes, B., Colliri, T., Lauretto, M. de S., Liu, W., & Liang, Z. (2021). Anomaly detection in Brazilian Federal Government purchase cards through unsupervised learning techniques. Lecture Notes in Computer Science, 13074, 19-32. doi:10.1007/978-3-030-91699-2_2
NLM
Nunes B, Colliri T, Lauretto M de S, Liu W, Liang Z. Anomaly detection in Brazilian Federal Government purchase cards through unsupervised learning techniques [Internet]. Lecture Notes in Computer Science. 2021 ; 13074 19-32.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_2
Vancouver
Nunes B, Colliri T, Lauretto M de S, Liu W, Liang Z. Anomaly detection in Brazilian Federal Government purchase cards through unsupervised learning techniques [Internet]. Lecture Notes in Computer Science. 2021 ; 13074 19-32.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_2
Trabalho de evento-anais periodico
A study of the correlation of metafeatures used for metalearning (2021)
Rivolli, Adriano ; Garcia, Luís Paulo Faina ; Lorena, Ana Carolina ; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Work-Conference on Artificial Neural Networks - IWANN. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIVOLLI, Adriano et al. A study of the correlation of metafeatures used for metalearning. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-85030-2_39. Acesso em: 19 nov. 2025. , 2021
APA
Rivolli, A., Garcia, L. P. F., Lorena, A. C., & Carvalho, A. C. P. de L. F. de. (2021). A study of the correlation of metafeatures used for metalearning. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-85030-2_39
NLM
Rivolli A, Garcia LPF, Lorena AC, Carvalho ACP de LF de. A study of the correlation of metafeatures used for metalearning [Internet]. Lecture Notes in Computer Science. 2021 ; 12861 471-483.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-85030-2_39
Vancouver
Rivolli A, Garcia LPF, Lorena AC, Carvalho ACP de LF de. A study of the correlation of metafeatures used for metalearning [Internet]. Lecture Notes in Computer Science. 2021 ; 12861 471-483.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-85030-2_39
Trabalho de evento-anais periodico
Fake news detection on fake.br using hierarchical attention networks (2020)
Okano, Emerson Yoshiaki ; Liu, Zebin; Ji, Donghong; Ruiz, Evandro Eduardo Seron
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Processing of the Portuguese Language - PROPOR. Unidade: FFCLRP
Assuntos: REDES DE COMPUTADORES, APRENDIZADO COMPUTACIONAL, FAKE NEWS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OKANO, Emerson Yoshiaki et al. Fake news detection on fake.br using hierarchical attention networks. Lecture Notes in Computer Science. Heidelberg: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-030-41505-1_14. Acesso em: 19 nov. 2025. , 2020
APA
Okano, E. Y., Liu, Z., Ji, D., & Ruiz, E. E. S. (2020). Fake news detection on fake.br using hierarchical attention networks. Lecture Notes in Computer Science. Heidelberg: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1007/978-3-030-41505-1_14
NLM
Okano EY, Liu Z, Ji D, Ruiz EES. Fake news detection on fake.br using hierarchical attention networks [Internet]. Lecture Notes in Computer Science. 2020 ; 12037 143-152.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-41505-1_14
Vancouver
Okano EY, Liu Z, Ji D, Ruiz EES. Fake news detection on fake.br using hierarchical attention networks [Internet]. Lecture Notes in Computer Science. 2020 ; 12037 143-152.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-41505-1_14
Trabalho de evento-anais periodico
A fuzzy classifier for data streams with infinitely delayed labels (2019)
Silva, Tiago Pinho da; Souza, Vinícius M. A; Batista, Gustavo Enrique de Almeida Prado Alves; Camargo, Heloisa de Arruda
Fonte: Lecture Notes in Computer Science. Nome do evento: Iberoamerican Congress on Pattern Recognition - CIARP : Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Unidade: ICMC
Assuntos: ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, FUZZY (INTELIGÊNCIA ARTIFICIAL)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Tiago Pinho da et al. A fuzzy classifier for data streams with infinitely delayed labels. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-13469-3_34. Acesso em: 19 nov. 2025. , 2019
APA
Silva, T. P. da, Souza, V. M. A., Batista, G. E. de A. P. A., & Camargo, H. de A. (2019). A fuzzy classifier for data streams with infinitely delayed labels. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-13469-3_34
NLM
Silva TP da, Souza VMA, Batista GE de APA, Camargo H de A. A fuzzy classifier for data streams with infinitely delayed labels [Internet]. Lecture Notes in Computer Science. 2019 ; 11401 314-322.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-13469-3_34
Vancouver
Silva TP da, Souza VMA, Batista GE de APA, Camargo H de A. A fuzzy classifier for data streams with infinitely delayed labels [Internet]. Lecture Notes in Computer Science. 2019 ; 11401 314-322.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-13469-3_34
Trabalho de evento-anais periodico
Towards hierarchical classification of data streams (2019)
Parmezan, Antonio Rafael Sabino; Souza, Vinícius M. A; Batista, Gustavo Enrique de Almeida Prado Alves
Fonte: Lecture Notes in Computer Science. Nome do evento: Iberoamerican Congress on Pattern Recognition - CIARP : Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Unidade: ICMC
Assuntos: ANÁLISE DE SÉRIES TEMPORAIS, MINERAÇÃO DE DADOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PARMEZAN, Antonio Rafael Sabino e SOUZA, Vinícius M. A e BATISTA, Gustavo Enrique de Almeida Prado Alves. Towards hierarchical classification of data streams. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-13469-3_37. Acesso em: 19 nov. 2025. , 2019
APA
Parmezan, A. R. S., Souza, V. M. A., & Batista, G. E. de A. P. A. (2019). Towards hierarchical classification of data streams. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-13469-3_37
NLM
Parmezan ARS, Souza VMA, Batista GE de APA. Towards hierarchical classification of data streams [Internet]. Lecture Notes in Computer Science. 2019 ; 11401 314-322.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-13469-3_37
Vancouver
Parmezan ARS, Souza VMA, Batista GE de APA. Towards hierarchical classification of data streams [Internet]. Lecture Notes in Computer Science. 2019 ; 11401 314-322.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-13469-3_37
Trabalho de evento-anais periodico
Improving portfolio optimization using weighted link prediction in dynamic stock networks (2019)
Castilho, Douglas; Gama, João; Mundim, Leandro Resende; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science - ICCS. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, MÉTODOS ESTATÍSTICOS PARA APRENDIZAGEM, ALGORITMOS ÚTEIS E ESPECÍFICOS, BOLSA DE VALORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTILHO, Douglas et al. Improving portfolio optimization using weighted link prediction in dynamic stock networks. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-22744-9_27. Acesso em: 19 nov. 2025. , 2019
APA
Castilho, D., Gama, J., Mundim, L. R., & Carvalho, A. C. P. de L. F. de. (2019). Improving portfolio optimization using weighted link prediction in dynamic stock networks. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-22744-9_27
NLM
Castilho D, Gama J, Mundim LR, Carvalho ACP de LF de. Improving portfolio optimization using weighted link prediction in dynamic stock networks [Internet]. Lecture Notes in Computer Science. 2019 ; 11538 340-353.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-22744-9_27
Vancouver
Castilho D, Gama J, Mundim LR, Carvalho ACP de LF de. Improving portfolio optimization using weighted link prediction in dynamic stock networks [Internet]. Lecture Notes in Computer Science. 2019 ; 11538 340-353.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-030-22744-9_27
Trabalho de evento-anais periodico
Prediction of interpersonal help-seeking behavior from log files in an in-service education distance course (2018)
Penteado, Bruno Elias; Isotani, Seiji ; Paiva, Paula M; Morettin-Zupelari, Marina; Ferrari, Deborah Viviane
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Artificial Intelligence in Education - AIED. Unidades: ICMC, FOB
Assuntos: APRENDIZADO COMPUTACIONAL, ALGORITMOS, ENSINO E APRENDIZAGEM, EDUCAÇÃO A DISTÂNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PENTEADO, Bruno Elias et al. Prediction of interpersonal help-seeking behavior from log files in an in-service education distance course. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-93846-2_49. Acesso em: 19 nov. 2025. , 2018
APA
Penteado, B. E., Isotani, S., Paiva, P. M., Morettin-Zupelari, M., & Ferrari, D. V. (2018). Prediction of interpersonal help-seeking behavior from log files in an in-service education distance course. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-93846-2_49
NLM
Penteado BE, Isotani S, Paiva PM, Morettin-Zupelari M, Ferrari DV. Prediction of interpersonal help-seeking behavior from log files in an in-service education distance course [Internet]. Lecture Notes in Computer Science. 2018 ; 10948 266-270.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-319-93846-2_49
Vancouver
Penteado BE, Isotani S, Paiva PM, Morettin-Zupelari M, Ferrari DV. Prediction of interpersonal help-seeking behavior from log files in an in-service education distance course [Internet]. Lecture Notes in Computer Science. 2018 ; 10948 266-270.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-319-93846-2_49

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