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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: 05 ago. 2024. , 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 2024 ago. 05 ] 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 2024 ago. 05 ] Available from: https://doi.org/10.1007/978-3-031-49018-7_45
Trabalho de evento-anais periodico
Geographic context-based stacking learning for election prediction from socio-economic data (2022)
Silva, Tiago Pinho da ; Parmezan, Antonio Rafael Sabino ; Batista, Gustavo Enrique de Almeida Prado Alves
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, COMPORTAMENTO ELEITORAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Tiago Pinho da e PARMEZAN, Antonio Rafael Sabino e BATISTA, Gustavo Enrique de Almeida Prado Alves. Geographic context-based stacking learning for election prediction from socio-economic data. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-21686-2_44. Acesso em: 05 ago. 2024. , 2022
APA
Silva, T. P. da, Parmezan, A. R. S., & Batista, G. E. de A. P. A. (2022). Geographic context-based stacking learning for election prediction from socio-economic data. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-21686-2_44
NLM
Silva TP da, Parmezan ARS, Batista GE de APA. Geographic context-based stacking learning for election prediction from socio-economic data [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 641-657.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_44
Vancouver
Silva TP da, Parmezan ARS, Batista GE de APA. Geographic context-based stacking learning for election prediction from socio-economic data [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 641-657.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_44
Trabalho de evento-anais periodico
Sequential short-text classification from multiple textual representations with weak supervision (2022)
Reis Filho, Ivan José ; Martins, Luiz Henrique Dutra ; Parmezan, Antonio Rafael Sabino ; Marcacini, Ricardo Marcondes ; Rezende, Solange Oliveira
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
REIS FILHO, Ivan José et al. Sequential short-text classification from multiple textual representations with weak supervision. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-21686-2_12. Acesso em: 05 ago. 2024. , 2022
APA
Reis Filho, I. J., Martins, L. H. D., Parmezan, A. R. S., Marcacini, R. M., & Rezende, S. O. (2022). Sequential short-text classification from multiple textual representations with weak supervision. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-21686-2_12
NLM
Reis Filho IJ, Martins LHD, Parmezan ARS, Marcacini RM, Rezende SO. Sequential short-text classification from multiple textual representations with weak supervision [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 165-179.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_12
Vancouver
Reis Filho IJ, Martins LHD, Parmezan ARS, Marcacini RM, Rezende SO. Sequential short-text classification from multiple textual representations with weak supervision [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 165-179.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_12

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