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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: 20 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. 20 ] 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. 20 ] Available from: https://doi.org/10.1007/978-3-031-49018-7_45
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: 20 nov. 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 nov. 20 ] 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 nov. 20 ] Available from: https://doi.org/10.1007/978-3-031-49018-7_42
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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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: 20 nov. 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 nov. 20 ] 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 nov. 20 ] 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: 20 nov. 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 nov. 20 ] 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 nov. 20 ] Available from: https://doi.org/10.1007/978-3-031-64608-9_13
Trabalho de evento-anais periodico
Assessing logical reasoning capabilities of encoder-only transformer models (2024)
Silva, Paulo Pirozelli Almeida ; José, Marcos M; Parenti Filho, Paulo de Tarso; Brandão, Anarosa Alves Franco ; Cozman, Fabio Gagliardi
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Neural Symbolic Learning and Reasoning. Unidade: EP
Assuntos: APRENDIZADO COMPUTACIONAL, LINGUAGEM NATURAL, RACIOCÍNIO DEDUTIVO E INDUTIVO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Paulo Pirozelli Almeida et al. Assessing logical reasoning capabilities of encoder-only transformer models. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-71167-1_2. Acesso em: 20 nov. 2025. , 2024
APA
Silva, P. P. A., José, M. M., Parenti Filho, P. de T., Brandão, A. A. F., & Cozman, F. G. (2024). Assessing logical reasoning capabilities of encoder-only transformer models. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-71167-1_2
NLM
Silva PPA, José MM, Parenti Filho P de T, Brandão AAF, Cozman FG. Assessing logical reasoning capabilities of encoder-only transformer models [Internet]. Lecture Notes in Computer Science. 2024 ; 14979 29-46.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1007/978-3-031-71167-1_2
Vancouver
Silva PPA, José MM, Parenti Filho P de T, Brandão AAF, Cozman FG. Assessing logical reasoning capabilities of encoder-only transformer models [Internet]. Lecture Notes in Computer Science. 2024 ; 14979 29-46.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1007/978-3-031-71167-1_2
Trabalho de evento-anais periodico
Generalizing and unifying gray-box combinatorial optimization operators (2024)
Chicano, Francisco; Whitley, Darrell; Ochoa, Gabriela; Tinós, Renato
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Parallel Problem Solving from Nature (PPSN). Unidade: FFCLRP
Assuntos: MATEMÁTICA, OPERADORES, OTIMIZAÇÃO COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHICANO, Francisco et al. Generalizing and unifying gray-box combinatorial optimization operators. Lecture Notes in Computer Science. Hagenberg: Springer International Publishing. Disponível em: https://doi.org/10.1007/978-3-031-70055-2_4. Acesso em: 20 nov. 2025. , 2024
APA
Chicano, F., Whitley, D., Ochoa, G., & Tinós, R. (2024). Generalizing and unifying gray-box combinatorial optimization operators. Lecture Notes in Computer Science. Hagenberg: Springer International Publishing. doi:10.1007/978-3-031-70055-2_4
NLM
Chicano F, Whitley D, Ochoa G, Tinós R. Generalizing and unifying gray-box combinatorial optimization operators [Internet]. Lecture Notes in Computer Science. 2024 ; 15148 52–67.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1007/978-3-031-70055-2_4
Vancouver
Chicano F, Whitley D, Ochoa G, Tinós R. Generalizing and unifying gray-box combinatorial optimization operators [Internet]. Lecture Notes in Computer Science. 2024 ; 15148 52–67.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1007/978-3-031-70055-2_4

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