ReP USP - Resultado da busca

Trabalho de evento
A methodology for automatic composition of polyphonic music (2025)
Ribeiro, Angélica Abadia Paulista ; Rosa, João Luís Garcia
Source: Anais. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, COMPOSIÇÃO MUSICAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBEIRO, Angélica Abadia Paulista e ROSA, João Luís Garcia. A methodology for automatic composition of polyphonic music. 2025, Anais.. Porto Alegre: SBC, 2025. Disponível em: https://doi.org/10.5753/kdmile.2025.247513. Acesso em: 09 nov. 2025.
APA
Ribeiro, A. A. P., & Rosa, J. L. G. (2025). A methodology for automatic composition of polyphonic music. In Anais. Porto Alegre: SBC. doi:10.5753/kdmile.2025.247513
NLM
Ribeiro AAP, Rosa JLG. A methodology for automatic composition of polyphonic music [Internet]. Anais. 2025 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.5753/kdmile.2025.247513
Vancouver
Ribeiro AAP, Rosa JLG. A methodology for automatic composition of polyphonic music [Internet]. Anais. 2025 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.5753/kdmile.2025.247513
Trabalho de evento
How to identify cyberbullying with machine learning (2024)
Fujimoto, Magaly Lika; Gaseta, Matheus; Rezende, Solange Oliveira ; Romero, Roseli Aparecida Francelin
Source: Anais. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL, BULLYING
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ABNT
FUJIMOTO, Magaly Lika et al. How to identify cyberbullying with machine learning. 2024, Anais.. Porto Alegre: SBC, 2024. Disponível em: https://doi.org/10.5753/kdmile.2024.244087. Acesso em: 09 nov. 2025.
APA
Fujimoto, M. L., Gaseta, M., Rezende, S. O., & Romero, R. A. F. (2024). How to identify cyberbullying with machine learning. In Anais. Porto Alegre: SBC. doi:10.5753/kdmile.2024.244087
NLM
Fujimoto ML, Gaseta M, Rezende SO, Romero RAF. How to identify cyberbullying with machine learning [Internet]. Anais. 2024 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.5753/kdmile.2024.244087
Vancouver
Fujimoto ML, Gaseta M, Rezende SO, Romero RAF. How to identify cyberbullying with machine learning [Internet]. Anais. 2024 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.5753/kdmile.2024.244087
Trabalho de evento
Unsupervised heterogeneous graph neural network for hit song prediction through one class learning (2022)
Silva, Angelo Cesar Mendes da; Gôlo, Marcos Paulo Silva ; Marcacini, Ricardo Marcondes
Source: Anais. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECUPERAÇÃO DA INFORMAÇÃO, REPRESENTAÇÃO DA INFORMAÇÃO, MÚSICA
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ABNT
SILVA, Angelo Cesar Mendes da e GÔLO, Marcos Paulo Silva e MARCACINI, Ricardo Marcondes. Unsupervised heterogeneous graph neural network for hit song prediction through one class learning. 2022, Anais.. Porto Alegre: SBC, 2022. Disponível em: https://doi.org/10.5753/kdmile.2022.227954. Acesso em: 09 nov. 2025.
APA
Silva, A. C. M. da, Gôlo, M. P. S., & Marcacini, R. M. (2022). Unsupervised heterogeneous graph neural network for hit song prediction through one class learning. In Anais. Porto Alegre: SBC. doi:10.5753/kdmile.2022.227954
NLM
Silva ACM da, Gôlo MPS, Marcacini RM. Unsupervised heterogeneous graph neural network for hit song prediction through one class learning [Internet]. Anais. 2022 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.5753/kdmile.2022.227954
Vancouver
Silva ACM da, Gôlo MPS, Marcacini RM. Unsupervised heterogeneous graph neural network for hit song prediction through one class learning [Internet]. Anais. 2022 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.5753/kdmile.2022.227954
Trabalho de evento
Tractable classification with non-ignorable missing data using generative random forests (2022)
Villanueva Llerena, Julissa Giuliana ; Mauá, Denis Deratani
Source: Anais. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidade: IME
Subjects: MODELOS PARA PROCESSOS ESTOCÁSTICOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VILLANUEVA LLERENA, Julissa Giuliana e MAUÁ, Denis Deratani. Tractable classification with non-ignorable missing data using generative random forests. 2022, Anais.. Porto Alegre: SBC, 2022. Disponível em: https://doi.org/10.5753/kdmile.2022.227969. Acesso em: 09 nov. 2025.
APA
Villanueva Llerena, J. G., & Mauá, D. D. (2022). Tractable classification with non-ignorable missing data using generative random forests. In Anais. Porto Alegre: SBC. doi:10.5753/kdmile.2022.227969
NLM
Villanueva Llerena JG, Mauá DD. Tractable classification with non-ignorable missing data using generative random forests [Internet]. Anais. 2022 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.5753/kdmile.2022.227969
Vancouver
Villanueva Llerena JG, Mauá DD. Tractable classification with non-ignorable missing data using generative random forests [Internet]. Anais. 2022 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.5753/kdmile.2022.227969
Trabalho de evento
One-class recommendation through unsupervised graph neural networks for link prediction (2022)
Gôlo, Marcos Paulo Silva ; Moraes, Leonardo Gonçalves de; Goularte, Rudinei ; Marcacini, Ricardo Marcondes
Source: Anais. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidade: ICMC
Subjects: SISTEMAS DE RECOMENDAÇÃO, REDES NEURAIS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GÔLO, Marcos Paulo Silva et al. One-class recommendation through unsupervised graph neural networks for link prediction. 2022, Anais.. Porto Alegre: SBC, 2022. Disponível em: https://doi.org/10.5753/kdmile.2022.227810. Acesso em: 09 nov. 2025.
APA
Gôlo, M. P. S., Moraes, L. G. de, Goularte, R., & Marcacini, R. M. (2022). One-class recommendation through unsupervised graph neural networks for link prediction. In Anais. Porto Alegre: SBC. doi:10.5753/kdmile.2022.227810
NLM
Gôlo MPS, Moraes LG de, Goularte R, Marcacini RM. One-class recommendation through unsupervised graph neural networks for link prediction [Internet]. Anais. 2022 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.5753/kdmile.2022.227810
Vancouver
Gôlo MPS, Moraes LG de, Goularte R, Marcacini RM. One-class recommendation through unsupervised graph neural networks for link prediction [Internet]. Anais. 2022 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.5753/kdmile.2022.227810
Trabalho de evento
Experimenting sentence split-and-rephrase using part-of-speech labels (2020)
Berlanga Neto, Paulo ; Okano, Émerson Yoshiaki; Ruiz, Evandro Eduardo Seron
Source: Proceedings. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidade: FFCLRP
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, REDES NEURAIS
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ABNT
BERLANGA NETO, Paulo e OKANO, Émerson Yoshiaki e RUIZ, Evandro Eduardo Seron. Experimenting sentence split-and-rephrase using part-of-speech labels. 2020, Anais.. Porto Alegre: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2020. Disponível em: https://doi.org/10.5753/kdmile.2020.11973. Acesso em: 09 nov. 2025.
APA
Berlanga Neto, P., Okano, É. Y., & Ruiz, E. E. S. (2020). Experimenting sentence split-and-rephrase using part-of-speech labels. In Proceedings. Porto Alegre: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.5753/kdmile.2020.11973
NLM
Berlanga Neto P, Okano ÉY, Ruiz EES. Experimenting sentence split-and-rephrase using part-of-speech labels [Internet]. Proceedings. 2020 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.5753/kdmile.2020.11973
Vancouver
Berlanga Neto P, Okano ÉY, Ruiz EES. Experimenting sentence split-and-rephrase using part-of-speech labels [Internet]. Proceedings. 2020 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.5753/kdmile.2020.11973
Trabalho de evento
Statistical analysis of small twitter data collection to identify dengue outbreaks (2020)
Euzebio, Carlos Danilo Gaioli ; Agy, Sidney; Boldorini Júnior, Claudio; Porto, Lucas Pimenta ; Alcarás, José Renato; Martinez, Alexandre Souto ; Ruiz, Evandro Eduardo Seron
Source: Proceedings. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidade: FFCLRP
Subjects: AEDES, DENGUE, REDES SOCIAIS, SAÚDE PÚBLICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
EUZEBIO, Carlos Danilo Gaioli et al. Statistical analysis of small twitter data collection to identify dengue outbreaks. 2020, Anais.. Porto Alegre: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2020. Disponível em: https://doi.org/10.5753/kdmile.2020.11954. Acesso em: 09 nov. 2025.
APA
Euzebio, C. D. G., Agy, S., Boldorini Júnior, C., Porto, L. P., Alcarás, J. R., Martinez, A. S., & Ruiz, E. E. S. (2020). Statistical analysis of small twitter data collection to identify dengue outbreaks. In Proceedings. Porto Alegre: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.5753/kdmile.2020.11954
NLM
Euzebio CDG, Agy S, Boldorini Júnior C, Porto LP, Alcarás JR, Martinez AS, Ruiz EES. Statistical analysis of small twitter data collection to identify dengue outbreaks [Internet]. Proceedings. 2020 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.5753/kdmile.2020.11954
Vancouver
Euzebio CDG, Agy S, Boldorini Júnior C, Porto LP, Alcarás JR, Martinez AS, Ruiz EES. Statistical analysis of small twitter data collection to identify dengue outbreaks [Internet]. Proceedings. 2020 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.5753/kdmile.2020.11954

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