ReP USP - Resultado da busca

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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 04 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. 04 ] 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. 04 ] Available from: https://doi.org/10.1007/978-3-031-96962-1_3
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 04 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. 04 ] 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. 04 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 04 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. 04 ] 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. 04 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 04 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. 04 ] 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. 04 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 04 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. 04 ] 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. 04 ] Available from: https://doi.org/10.1007/978-3-031-64608-9_13
Trabalho de evento-anais periodico
Image segmentation by hierarchical layered oriented image foresting transform subject to closeness constraints (2024)
Santos, Luiz Felipe Dolabela ; Kleine, Felipe Augusto de Souza; Miranda, Paulo André Vechiatto de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Luiz Felipe Dolabela e KLEINE, Felipe Augusto de Souza e MIRANDA, Paulo André Vechiatto de. Image segmentation by hierarchical layered oriented image foresting transform subject to closeness constraints. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-57793-2_26. Acesso em: 04 jul. 2025. , 2024
APA
Santos, L. F. D., Kleine, F. A. de S., & Miranda, P. A. V. de. (2024). Image segmentation by hierarchical layered oriented image foresting transform subject to closeness constraints. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-57793-2_26
NLM
Santos LFD, Kleine FA de S, Miranda PAV de. Image segmentation by hierarchical layered oriented image foresting transform subject to closeness constraints [Internet]. Lecture Notes in Computer Science. 2024 ; 14605 338-349.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_26
Vancouver
Santos LFD, Kleine FA de S, Miranda PAV de. Image segmentation by hierarchical layered oriented image foresting transform subject to closeness constraints [Internet]. Lecture Notes in Computer Science. 2024 ; 14605 338-349.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_26
Trabalho de evento-anais periodico
Multiobjective evolutionary algorithms applied to the optimization of expanded genetic codes (2023)
Silva, Maísa de Carvalho; Pereira, Paulo Guilherme Pinheiro; Oliveira, Lariza Laura de ; Tinós, Renato
Fonte: Lecture Notes in Computer Science. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: FFCLRP
Assuntos: ALGORITMOS GENÉTICOS, OTIMIZAÇÃO COMBINATÓRIA, CÓDIGO GENÉTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Maísa de Carvalho et al. Multiobjective evolutionary algorithms applied to the optimization of expanded genetic codes. Lecture Notes in Computer Science. Belo Horizonte: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-45392-2_1. Acesso em: 04 jul. 2025. , 2023
APA
Silva, M. de C., Pereira, P. G. P., Oliveira, L. L. de, & Tinós, R. (2023). Multiobjective evolutionary algorithms applied to the optimization of expanded genetic codes. Lecture Notes in Computer Science. Belo Horizonte: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1007/978-3-031-45392-2_1
NLM
Silva M de C, Pereira PGP, Oliveira LL de, Tinós R. Multiobjective evolutionary algorithms applied to the optimization of expanded genetic codes [Internet]. Lecture Notes in Computer Science. 2023 ; 14197 3-16.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-031-45392-2_1
Vancouver
Silva M de C, Pereira PGP, Oliveira LL de, Tinós R. Multiobjective evolutionary algorithms applied to the optimization of expanded genetic codes [Internet]. Lecture Notes in Computer Science. 2023 ; 14197 3-16.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-031-45392-2_1
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 04 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. 04 ] 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. 04 ] Available from: https://doi.org/10.1007/978-3-031-06427-2_37
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)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 04 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. 04 ] 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. 04 ] Available from: https://doi.org/10.1007/978-3-031-08757-8_4
Trabalho de evento-anais periodico
Graph-based image segmentation with shape priors and band constraints (2022)
Braz, Caio de Moraes ; Santos, Luiz Felipe D.; Miranda, Paulo André Vechiatto de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRAZ, Caio de Moraes e SANTOS, Luiz Felipe D. e MIRANDA, Paulo André Vechiatto de. Graph-based image segmentation with shape priors and band constraints. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-19897-7_23. Acesso em: 04 jul. 2025. , 2022
APA
Braz, C. de M., Santos, L. F. D., & Miranda, P. A. V. de. (2022). Graph-based image segmentation with shape priors and band constraints. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-19897-7_23
NLM
Braz C de M, Santos LFD, Miranda PAV de. Graph-based image segmentation with shape priors and band constraints [Internet]. Lecture Notes in Computer Science. 2022 ; 13493 287–299.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-031-19897-7_23
Vancouver
Braz C de M, Santos LFD, Miranda PAV de. Graph-based image segmentation with shape priors and band constraints [Internet]. Lecture Notes in Computer Science. 2022 ; 13493 287–299.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-031-19897-7_23
Trabalho de evento-anais periodico
Differential oriented image foresting transform segmentation by seed competition (2022)
Condori, Marcos Ademir Tejada ; Miranda, Paulo André Vechiatto de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME
Assunto: COMPUTAÇÃO APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CONDORI, Marcos Ademir Tejada e MIRANDA, Paulo André Vechiatto de. Differential oriented image foresting transform segmentation by seed competition. Lecture Notes in Computer Science. Cham: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-19897-7_24. Acesso em: 04 jul. 2025. , 2022
APA
Condori, M. A. T., & Miranda, P. A. V. de. (2022). Differential oriented image foresting transform segmentation by seed competition. Lecture Notes in Computer Science. Cham: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/978-3-031-19897-7_24
NLM
Condori MAT, Miranda PAV de. Differential oriented image foresting transform segmentation by seed competition [Internet]. Lecture Notes in Computer Science. 2022 ; 13493 300–311.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-031-19897-7_24
Vancouver
Condori MAT, Miranda PAV de. Differential oriented image foresting transform segmentation by seed competition [Internet]. Lecture Notes in Computer Science. 2022 ; 13493 300–311.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-031-19897-7_24
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 04 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. 04 ] 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. 04 ] Available from: https://doi.org/10.1007/978-3-031-08760-8_54
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: 04 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. 04 ] 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. 04 ] Available from: https://doi.org/10.1007/978-3-031-15740-0_13
Trabalho de evento-anais periodico
To answer or not to answer?: filtering questions for QA Systems (2022)
Pirozelli, Paulo ; Brandão, Anarosa Alves Franco ; Peres, Sarajane Marques ; Cozman, Fabio Gagliardi
Fonte: Lecture Notes in Computer Science. Nome do evento: Brazilian Conference Intelligent Systems - BRACIS 2022. Unidades: EP, EACH, IEA
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, COMPUTAÇÃO APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PIROZELLI, Paulo et al. To answer or not to answer?: filtering questions for QA Systems. Lecture Notes in Computer Science. Cham: Escola Politécnica, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-21689-3_33. Acesso em: 04 jul. 2025. , 2022
APA
Pirozelli, P., Brandão, A. A. F., Peres, S. M., & Cozman, F. G. (2022). To answer or not to answer?: filtering questions for QA Systems. Lecture Notes in Computer Science. Cham: Escola Politécnica, Universidade de São Paulo. doi:10.1007/978-3-031-21689-3_33
NLM
Pirozelli P, Brandão AAF, Peres SM, Cozman FG. To answer or not to answer?: filtering questions for QA Systems [Internet]. Lecture Notes in Computer Science. 2022 ; 13654 464-478.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_33
Vancouver
Pirozelli P, Brandão AAF, Peres SM, Cozman FG. To answer or not to answer?: filtering questions for QA Systems [Internet]. Lecture Notes in Computer Science. 2022 ; 13654 464-478.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_33
Trabalho de evento-anais periodico
GARFIELD: a recommender system to personalize gamified learning (2022)
Rodrigues, Luiz Antonio Lima ; Toda, Armando Maciel ; Pereira, Filipe Dwan ; Palomino, Paula Toledo ; Klock, Ana Carolina Tomé ; Pessoa, Marcela Sávia Picanço ; Oliveira, David de ; Gasparini, Isabela ; Oliveira, Elaine Harada Teixeira de ; Cristea, Alexandra Ioana ; Isotani, Seiji
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Artificial Intelligence in Education - AIED. Unidade: ICMC
Assuntos: ENSINO POR COMPUTADOR, JOGOS DE COMPUTADOR, TESTE E AVALIAÇÃO DE SOFTWARE, ENSINO E APRENDIZAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Luiz Antonio Lima et al. GARFIELD: a recommender system to personalize gamified learning. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-11644-5_65. Acesso em: 04 jul. 2025. , 2022
APA
Rodrigues, L. A. L., Toda, A. M., Pereira, F. D., Palomino, P. T., Klock, A. C. T., Pessoa, M. S. P., et al. (2022). GARFIELD: a recommender system to personalize gamified learning. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-11644-5_65
NLM
Rodrigues LAL, Toda AM, Pereira FD, Palomino PT, Klock ACT, Pessoa MSP, Oliveira D de, Gasparini I, Oliveira EHT de, Cristea AI, Isotani S. GARFIELD: a recommender system to personalize gamified learning [Internet]. Lecture Notes in Computer Science. 2022 ; 13355 666-672.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-031-11644-5_65
Vancouver
Rodrigues LAL, Toda AM, Pereira FD, Palomino PT, Klock ACT, Pessoa MSP, Oliveira D de, Gasparini I, Oliveira EHT de, Cristea AI, Isotani S. GARFIELD: a recommender system to personalize gamified learning [Internet]. Lecture Notes in Computer Science. 2022 ; 13355 666-672.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-031-11644-5_65
Trabalho de evento-anais periodico
Gamification through the looking glass: perceived biases and ethical concerns of brazilian teachers (2022)
Toda, Armando Maciel ; Palomino, Paula Toledo ; Rodrigues, Luiz Antonio Lima ; Klock, Ana Carolina Tomé ; Pereira, Filipe Dwan ; Borges, Simone de Sousa ; Gasparini, Isabela ; Oliveira, Elaine Harada Teixeira de ; Isotani, Seiji ; Cristea, Alexandra Ioana
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Artificial Intelligence in Education - AIED. Unidade: ICMC
Assuntos: COMPUTADOR NO ENSINO, JOGOS DE COMPUTADOR, ÉTICA, PRECONCEITO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TODA, Armando Maciel et al. Gamification through the looking glass: perceived biases and ethical concerns of brazilian teachers. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-11647-6_47. Acesso em: 04 jul. 2025. , 2022
APA
Toda, A. M., Palomino, P. T., Rodrigues, L. A. L., Klock, A. C. T., Pereira, F. D., Borges, S. de S., et al. (2022). Gamification through the looking glass: perceived biases and ethical concerns of brazilian teachers. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-11647-6_47
NLM
Toda AM, Palomino PT, Rodrigues LAL, Klock ACT, Pereira FD, Borges S de S, Gasparini I, Oliveira EHT de, Isotani S, Cristea AI. Gamification through the looking glass: perceived biases and ethical concerns of brazilian teachers [Internet]. Lecture Notes in Computer Science. 2022 ; 13356 259-262.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-031-11647-6_47
Vancouver
Toda AM, Palomino PT, Rodrigues LAL, Klock ACT, Pereira FD, Borges S de S, Gasparini I, Oliveira EHT de, Isotani S, Cristea AI. Gamification through the looking glass: perceived biases and ethical concerns of brazilian teachers [Internet]. Lecture Notes in Computer Science. 2022 ; 13356 259-262.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-031-11647-6_47
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: 04 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. 04 ] 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. 04 ] Available from: https://doi.org/10.1007/978-3-031-17902-0_33
Trabalho de evento-anais periodico
A recommender system based on effort: towards minimising negative affects and maximising achievement in CS1 learning (2021)
Pereira, Filipe Dwan ; Freitas Junior, Hermino Barbosa de ; Rodriguez, Luiz Carlos Estraviz ; Toda, Armando Maciel ; Oliveira, Elaine Harada Teixeira de ; Cristea, Alexandra Ioana ; Oliveira, David B. F; Carvalho, Leandro S. G; Fonseca, Samuel C; Alamri, Ahmed; Isotani, Seiji
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Tutoring Systems - ITS. Unidades: ICMC, ESALQ
Assuntos: ANÁLISE DE DADOS, COMPUTADOR NO ENSINO, ENSINO E APRENDIZAGEM, METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO, RENDIMENTO ESCOLAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, Filipe Dwan et al. A recommender system based on effort: towards minimising negative affects and maximising achievement in CS1 learning. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-80421-3_51. Acesso em: 04 jul. 2025. , 2021
APA
Pereira, F. D., Freitas Junior, H. B. de, Rodriguez, L. C. E., Toda, A. M., Oliveira, E. H. T. de, Cristea, A. I., et al. (2021). A recommender system based on effort: towards minimising negative affects and maximising achievement in CS1 learning. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-80421-3_51
NLM
Pereira FD, Freitas Junior HB de, Rodriguez LCE, Toda AM, Oliveira EHT de, Cristea AI, Oliveira DBF, Carvalho LSG, Fonseca SC, Alamri A, Isotani S. A recommender system based on effort: towards minimising negative affects and maximising achievement in CS1 learning [Internet]. Lecture Notes in Computer Science. 2021 ; 12677 466-480.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-030-80421-3_51
Vancouver
Pereira FD, Freitas Junior HB de, Rodriguez LCE, Toda AM, Oliveira EHT de, Cristea AI, Oliveira DBF, Carvalho LSG, Fonseca SC, Alamri A, Isotani S. A recommender system based on effort: towards minimising negative affects and maximising achievement in CS1 learning [Internet]. Lecture Notes in Computer Science. 2021 ; 12677 466-480.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-030-80421-3_51
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 04 jul. 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 jul. 04 ] 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 jul. 04 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_4
Trabalho de evento-anais periodico
A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems (2021)
Contreras, Rodrigo Colnago ; Nonato, Luis Gustavo ; Boaventura, Maurílio ; Boaventura, Ines Aparecida Gasparotto ; Coelho, Bruno Gomes ; Viana, Monique Simplicio
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Artificial Intelligence and Soft Computing - ICAISC. Unidade: ICMC
Assuntos: DATILOSCOPIA, RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE SINAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CONTRERAS, Rodrigo Colnago et al. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-87897-9_39. Acesso em: 04 jul. 2025. , 2021
APA
Contreras, R. C., Nonato, L. G., Boaventura, M., Boaventura, I. A. G., Coelho, B. G., & Viana, M. S. (2021). A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-87897-9_39
NLM
Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Coelho BG, Viana MS. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems [Internet]. Lecture Notes in Computer Science. 2021 ; 12855 442-455.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-030-87897-9_39
Vancouver
Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Coelho BG, Viana MS. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems [Internet]. Lecture Notes in Computer Science. 2021 ; 12855 442-455.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-030-87897-9_39

Unidades USP

ReP

Bem vindo,

Filtros

Unidades USP

Departamento

Autores

Autores USP

Ano de publicação

Assuntos

Nome do evento

Agência de fomento

Afiliação dos autores externos não normalizada

País das instituições de afiliação dos autores externos