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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: 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
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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1007/978-3-031-49018-7_42
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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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: 19 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. 19 ] 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. 19 ] 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
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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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_26
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: 19 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. 19 ] 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. 19 ] 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
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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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1007/978-3-031-70055-2_4

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