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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: 02 jul. 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 jul. 02 ] 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 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-96962-1_3
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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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: 02 jul. 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 jul. 02 ] 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 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-80366-6
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: 02 jul. 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 jul. 02 ] 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 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-77738-7_31
Trabalho de evento-anais periodico
Bipartite graph coarsening for text classification using graph neural networks (2024)
Santos, Nícolas Roque dos ; Minatel, Diego ; Valejo, Alan Demetrius Baria ; Lopes, Alneu de Andrade
Fonte: Lecture Notes in Computer Science. Nome do evento: Iberoamerican Congress on Pattern Recognition - CIARP. Unidade: ICMC
Assuntos: MINERAÇÃO DE DADOS, REDES NEURAIS
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SANTOS, Nícolas Roque dos et al. Bipartite graph coarsening for text classification using graph neural networks. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-49018-7_42. Acesso em: 02 jul. 2025. , 2024
APA
Santos, N. R. dos, Minatel, D., Valejo, A. D. B., & Lopes, A. de A. (2024). Bipartite graph coarsening for text classification using graph neural networks. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-49018-7_42
NLM
Santos NR dos, Minatel D, Valejo ADB, Lopes A de A. Bipartite graph coarsening for text classification using graph neural networks [Internet]. Lecture Notes in Computer Science. 2024 ; 14469 589-604.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-49018-7_42
Vancouver
Santos NR dos, Minatel D, Valejo ADB, Lopes A de A. Bipartite graph coarsening for text classification using graph neural networks [Internet]. Lecture Notes in Computer Science. 2024 ; 14469 589-604.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-49018-7_42
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: 02 jul. 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 jul. 02 ] 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 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-49018-7_45
Trabalho de evento-anais periodico
Enhancing explainability in oral cancer detection with Grad-CAM visualizations (2024)
Silva, Arnaldo Vitor Barros da ; Saldivia-Siracusa, Cristina ; Souza, Eduardo Santos Carlos de ; Araujo, Anna Luiza Damaceno ; Lopes, Márcio Ajudarte ; Vargas, Pablo Agustin ; Kowalski, Luiz Paulo ; Santos-Silva, Alan Roger dos ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Quiles, Marcos Gonçalves
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science and its Applications - ICCSA. Unidades: FM, ICMC
Assuntos: APRENDIZAGEM PROFUNDA, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR IMAGEM, TECNOLOGIAS DA SAÚDE, NEOPLASIAS BUCAIS
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SILVA, Arnaldo Vitor Barros da et al. Enhancing explainability in oral cancer detection with Grad-CAM visualizations. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-64605-8_11. Acesso em: 02 jul. 2025. , 2024
APA
Silva, A. V. B. da, Saldivia-Siracusa, C., Souza, E. S. C. de, Araujo, A. L. D., Lopes, M. A., Vargas, P. A., et al. (2024). Enhancing explainability in oral cancer detection with Grad-CAM visualizations. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-64605-8_11
NLM
Silva AVB da, Saldivia-Siracusa C, Souza ESC de, Araujo ALD, Lopes MA, Vargas PA, Kowalski LP, Santos-Silva AR dos, Carvalho ACP de LF de, Quiles MG. Enhancing explainability in oral cancer detection with Grad-CAM visualizations [Internet]. Lecture Notes in Computer Science. 2024 ; 14813 151-164.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-64605-8_11
Vancouver
Silva AVB da, Saldivia-Siracusa C, Souza ESC de, Araujo ALD, Lopes MA, Vargas PA, Kowalski LP, Santos-Silva AR dos, Carvalho ACP de LF de, Quiles MG. Enhancing explainability in oral cancer detection with Grad-CAM visualizations [Internet]. Lecture Notes in Computer Science. 2024 ; 14813 151-164.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-64605-8_11
Trabalho de evento-anais periodico
Applying LSTM recurrent neural networks to predict revenue (2024)
Cardoso, Luis Eduardo Pelin ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Quiles, Marcos Gonçalves
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science and its Applications - ICCSA. Unidade: ICMC
Assuntos: PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), REDES NEURAIS, PREVISÃO DE VENDAS
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CARDOSO, Luis Eduardo Pelin e CARVALHO, Andre Carlos Ponce de Leon Ferreira de e QUILES, Marcos Gonçalves. Applying LSTM recurrent neural networks to predict revenue. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-64608-9_13. Acesso em: 02 jul. 2025. , 2024
APA
Cardoso, L. E. P., Carvalho, A. C. P. de L. F. de, & Quiles, M. G. (2024). Applying LSTM recurrent neural networks to predict revenue. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-64608-9_13
NLM
Cardoso LEP, Carvalho ACP de LF de, Quiles MG. Applying LSTM recurrent neural networks to predict revenue [Internet]. Lecture Notes in Computer Science. 2024 ; 14814 198-212.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-64608-9_13
Vancouver
Cardoso LEP, Carvalho ACP de LF de, Quiles MG. Applying LSTM recurrent neural networks to predict revenue [Internet]. Lecture Notes in Computer Science. 2024 ; 14814 198-212.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-64608-9_13
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: 02 jul. 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 jul. 02 ] 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 jul. 02 ] 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: 02 jul. 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 jul. 02 ] 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 jul. 02 ] 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: 02 jul. 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 jul. 02 ] 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 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-06424-1_23
Trabalho de evento-anais periodico
National network for rare diseases in Brazil: the computational infrastructure and preliminary results (2022)
Yamada, Diego Bettiol ; Bernardi, Filipe Andrade ; Colombo Filho, Márcio Eloi ; Neiva, Mariane Barros ; Lima, Vinícius Costa ; Vinci, André Luiz Teixeira ; Oliveira, Bibiana Mello de ; Félix, Têmis Maria ; Alves, Domingos
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science - ICCS. Unidades: FMRP, Interunidades em Bioengenharia, ICMC
Assuntos: DOENÇAS RARAS, SAÚDE PÚBLICA, PROFISSIONAIS DA SAÚDE, TECNOLOGIA DA INFORMAÇÃO, ASSISTÊNCIA AO PACIENTE (SERVIÇOS DE SAÚDE)
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YAMADA, Diego Bettiol et al. National network for rare diseases in Brazil: the computational infrastructure and preliminary results. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-08757-8_4. Acesso em: 02 jul. 2025. , 2022
APA
Yamada, D. B., Bernardi, F. A., Colombo Filho, M. E., Neiva, M. B., Lima, V. C., Vinci, A. L. T., et al. (2022). National network for rare diseases in Brazil: the computational infrastructure and preliminary results. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-08757-8_4
NLM
Yamada DB, Bernardi FA, Colombo Filho ME, Neiva MB, Lima VC, Vinci ALT, Oliveira BM de, Félix TM, Alves D. National network for rare diseases in Brazil: the computational infrastructure and preliminary results [Internet]. Lecture Notes in Computer Science. 2022 ; 13352 43-49.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-08757-8_4
Vancouver
Yamada DB, Bernardi FA, Colombo Filho ME, Neiva MB, Lima VC, Vinci ALT, Oliveira BM de, Félix TM, Alves D. National network for rare diseases in Brazil: the computational infrastructure and preliminary results [Internet]. Lecture Notes in Computer Science. 2022 ; 13352 43-49.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-08757-8_4
Trabalho de evento-anais periodico
A systematic mapping study of emotional response evaluation instruments (2022)
Santos, Suzane Santos dos; Rodrigues, Kamila Rios da Hora
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Human-Computer Interaction - HCII. Unidade: ICMC
Assuntos: REVISÃO SISTEMÁTICA, EMOÇÕES, INTERAÇÃO USUÁRIO-COMPUTADOR
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SANTOS, Suzane Santos dos e RODRIGUES, Kamila Rios da Hora. A systematic mapping study of emotional response evaluation instruments. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-17615-9_21. Acesso em: 02 jul. 2025. , 2022
APA
Santos, S. S. dos, & Rodrigues, K. R. da H. (2022). A systematic mapping study of emotional response evaluation instruments. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-17615-9_21
NLM
Santos SS dos, Rodrigues KR da H. A systematic mapping study of emotional response evaluation instruments [Internet]. Lecture Notes in Computer Science. 2022 ; 13516 302-317.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-17615-9_21
Vancouver
Santos SS dos, Rodrigues KR da H. A systematic mapping study of emotional response evaluation instruments [Internet]. Lecture Notes in Computer Science. 2022 ; 13516 302-317.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-17615-9_21
Trabalho de evento-anais periodico
Authoring inner loops of intelligent tutoring systems using collective intelligence (2022)
Oliveira, Thyago Tenório Martins de ; Isotani, Seiji ; Pinto, Ig Ibert Bittencourt Santana
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Artificial Intelligence in Education - AIED. Unidade: ICMC
Assuntos: SISTEMAS TUTORES INTELIGENTES, INTELIGÊNCIA COLETIVA
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OLIVEIRA, Thyago Tenório Martins de e ISOTANI, Seiji e PINTO, Ig Ibert Bittencourt Santana. Authoring inner loops of intelligent tutoring systems using collective intelligence. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-11647-6_79. Acesso em: 02 jul. 2025. , 2022
APA
Oliveira, T. T. M. de, Isotani, S., & Pinto, I. I. B. S. (2022). Authoring inner loops of intelligent tutoring systems using collective intelligence. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-11647-6_79
NLM
Oliveira TTM de, Isotani S, Pinto IIBS. Authoring inner loops of intelligent tutoring systems using collective intelligence [Internet]. Lecture Notes in Computer Science. 2022 ; 13356 400-404.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-11647-6_79
Vancouver
Oliveira TTM de, Isotani S, Pinto IIBS. Authoring inner loops of intelligent tutoring systems using collective intelligence [Internet]. Lecture Notes in Computer Science. 2022 ; 13356 400-404.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-11647-6_79
Trabalho de evento-anais periodico
MiDaS: extract golden results from knowledge discovery even over incomplete databases (2022)
Rodrigues, Lucas Santiago ; Vespa, Thiago Galbiatti ; Eleutério, Igor Alberte Rodrigues; Oliveira, Willian Dener de ; Traina, Agma Juci Machado ; Traina Junior, Caetano
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science - ICCS. Unidade: ICMC
Assuntos: DESCOBERTA DE CONHECIMENTO, GERENCIADORES DE BANCO DE DADOS, RECUPERAÇÃO DA INFORMAÇÃO
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RODRIGUES, Lucas Santiago et al. MiDaS: extract golden results from knowledge discovery even over incomplete databases. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-08760-8_54. Acesso em: 02 jul. 2025. , 2022
APA
Rodrigues, L. S., Vespa, T. G., Eleutério, I. A. R., Oliveira, W. D. de, Traina, A. J. M., & Traina Junior, C. (2022). MiDaS: extract golden results from knowledge discovery even over incomplete databases. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-08760-8_54
NLM
Rodrigues LS, Vespa TG, Eleutério IAR, Oliveira WD de, Traina AJM, Traina Junior C. MiDaS: extract golden results from knowledge discovery even over incomplete databases [Internet]. Lecture Notes in Computer Science. 2022 ; 13353 653-667.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-08760-8_54
Vancouver
Rodrigues LS, Vespa TG, Eleutério IAR, Oliveira WD de, Traina AJM, Traina Junior C. MiDaS: extract golden results from knowledge discovery even over incomplete databases [Internet]. Lecture Notes in Computer Science. 2022 ; 13353 653-667.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-08760-8_54
Trabalho de evento-anais periodico
EmoFrame: prototype of a framework to assess users' emotional responses (2022)
Santos, Suzane Santos dos; Campos, Erick Modesto; Rodrigues, Kamila Rios da Hora
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Human-Computer Interaction - HCII. Unidade: ICMC
Assuntos: INTERAÇÃO USUÁRIO-COMPUTADOR, FRAMEWORKS, EMOÇÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Suzane Santos dos e CAMPOS, Erick Modesto e RODRIGUES, Kamila Rios da Hora. EmoFrame: prototype of a framework to assess users' emotional responses. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-17615-9_20. Acesso em: 02 jul. 2025. , 2022
APA
Santos, S. S. dos, Campos, E. M., & Rodrigues, K. R. da H. (2022). EmoFrame: prototype of a framework to assess users' emotional responses. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-17615-9_20
NLM
Santos SS dos, Campos EM, Rodrigues KR da H. EmoFrame: prototype of a framework to assess users' emotional responses [Internet]. Lecture Notes in Computer Science. 2022 ; 13516 282-301.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-17615-9_20
Vancouver
Santos SS dos, Campos EM, Rodrigues KR da H. EmoFrame: prototype of a framework to assess users' emotional responses [Internet]. Lecture Notes in Computer Science. 2022 ; 13516 282-301.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-17615-9_20
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 02 jul. 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 jul. 02 ] 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 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-15086-9_34
Trabalho de evento-anais periodico
A framework to semi-automated usability evaluations processing considering users' emotional aspects (2022)
Santos, Flávia de Souza ; Treviso, Marcos Vinícius ; Gama, Sandra Pereira ; Fortes, Renata Pontin de Mattos
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Human-Computer Interaction - HCII. Unidade: ICMC
Assuntos: INTERAÇÃO USUÁRIO-COMPUTADOR, USABILIDADE DE SOFTWARE, FRAMEWORKS, EMOÇÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Flávia de Souza et al. A framework to semi-automated usability evaluations processing considering users' emotional aspects. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-05311-5_29. Acesso em: 02 jul. 2025. , 2022
APA
Santos, F. de S., Treviso, M. V., Gama, S. P., & Fortes, R. P. de M. (2022). A framework to semi-automated usability evaluations processing considering users' emotional aspects. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-05311-5_29
NLM
Santos F de S, Treviso MV, Gama SP, Fortes RP de M. A framework to semi-automated usability evaluations processing considering users' emotional aspects [Internet]. Lecture Notes in Computer Science. 2022 ; 13302 419-438.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-05311-5_29
Vancouver
Santos F de S, Treviso MV, Gama SP, Fortes RP de M. A framework to semi-automated usability evaluations processing considering users' emotional aspects [Internet]. Lecture Notes in Computer Science. 2022 ; 13302 419-438.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-05311-5_29
Trabalho de evento-anais periodico
Empirical studies aimed at understanding conversational recommender systems and accessibility aspects (2022)
Araujo, Lucas Padilha Modesto de ; Oliveira, Cynthya Letícia Teles de ; Rodrigues, Kamila Rios da Hora ; Manzato, Marcelo Garcia
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Human-Computer Interaction - HCII. Unidade: ICMC
Assuntos: INTERAÇÃO USUÁRIO-COMPUTADOR, RECONHECIMENTO DE VOZ, USABILIDADE DE SOFTWARE, IDOSOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARAUJO, Lucas Padilha Modesto de et al. Empirical studies aimed at understanding conversational recommender systems and accessibility aspects. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-17902-0_33. Acesso em: 02 jul. 2025. , 2022
APA
Araujo, L. P. M. de, Oliveira, C. L. T. de, Rodrigues, K. R. da H., & Manzato, M. G. (2022). Empirical studies aimed at understanding conversational recommender systems and accessibility aspects. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-17902-0_33
NLM
Araujo LPM de, Oliveira CLT de, Rodrigues KR da H, Manzato MG. Empirical studies aimed at understanding conversational recommender systems and accessibility aspects [Internet]. Lecture Notes in Computer Science. 2022 ; 13521 462-478.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-17902-0_33
Vancouver
Araujo LPM de, Oliveira CLT de, Rodrigues KR da H, Manzato MG. Empirical studies aimed at understanding conversational recommender systems and accessibility aspects [Internet]. Lecture Notes in Computer Science. 2022 ; 13521 462-478.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-17902-0_33
Trabalho de evento-anais periodico
ORTree: tuning diversified similarity queries by means of data partitioning (2022)
Novaes, João Victor de Oliveira ; Santos, Lúcio Fernandes Dutra ; Traina, Agma Juci Machado ; Traina Junior, Caetano
Fonte: Lecture Notes in Computer Science. Nome do evento: European Conference on Advances in Databases and Information Systems - ADBIS. Unidade: ICMC
Assuntos: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE PADRÕES, GERENCIADORES DE BANCO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NOVAES, João Victor de Oliveira et al. ORTree: tuning diversified similarity queries by means of data partitioning. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-15740-0_13. Acesso em: 02 jul. 2025. , 2022
APA
Novaes, J. V. de O., Santos, L. F. D., Traina, A. J. M., & Traina Junior, C. (2022). ORTree: tuning diversified similarity queries by means of data partitioning. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-15740-0_13
NLM
Novaes JV de O, Santos LFD, Traina AJM, Traina Junior C. ORTree: tuning diversified similarity queries by means of data partitioning [Internet]. Lecture Notes in Computer Science. 2022 ; 13389 165-178.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-15740-0_13
Vancouver
Novaes JV de O, Santos LFD, Traina AJM, Traina Junior C. ORTree: tuning diversified similarity queries by means of data partitioning [Internet]. Lecture Notes in Computer Science. 2022 ; 13389 165-178.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-15740-0_13
Trabalho de evento-anais periodico
Knowledge discovery in databases: comorbidities in tuberculosis cases (2022)
Carvalho, Isabelle ; Neiva, Mariane Barros ; Miyoshi, Newton Shydeo Brandão ; Crepaldi, Nathalia Yukie ; Bernardi, Filipe Andrade ; Lima, Vinícius Costa ; Santos, Ketlin Fabri dos ; Mioto, Ana Clara de Andrade ; Mozini, Mariana Tavares ; Galliez, Rafael Mello ; Sanchez, Mauro Niskier ; Kritski, Afrânio Lineu ; Alves, Domingos
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science - ICCS. Unidades: FMRP, ICMC, Interunidades em Bioengenharia
Assuntos: COMORBIDADE, TUBERCULOSE, SAÚDE PÚBLICA, DESCOBERTA DE CONHECIMENTO, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARVALHO, Isabelle et al. Knowledge discovery in databases: comorbidities in tuberculosis cases. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-08757-8_1. Acesso em: 02 jul. 2025. , 2022
APA
Carvalho, I., Neiva, M. B., Miyoshi, N. S. B., Crepaldi, N. Y., Bernardi, F. A., Lima, V. C., et al. (2022). Knowledge discovery in databases: comorbidities in tuberculosis cases. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-08757-8_1
NLM
Carvalho I, Neiva MB, Miyoshi NSB, Crepaldi NY, Bernardi FA, Lima VC, Santos KF dos, Mioto AC de A, Mozini MT, Galliez RM, Sanchez MN, Kritski AL, Alves D. Knowledge discovery in databases: comorbidities in tuberculosis cases [Internet]. Lecture Notes in Computer Science. 2022 ; 13352 3-13.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-08757-8_1
Vancouver
Carvalho I, Neiva MB, Miyoshi NSB, Crepaldi NY, Bernardi FA, Lima VC, Santos KF dos, Mioto AC de A, Mozini MT, Galliez RM, Sanchez MN, Kritski AL, Alves D. Knowledge discovery in databases: comorbidities in tuberculosis cases [Internet]. Lecture Notes in Computer Science. 2022 ; 13352 3-13.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1007/978-3-031-08757-8_1

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