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Trabalho de evento-anais periodico
‘Right to be forgotten’: analyzing the impact of forgetting data using K-NN algorithm in data stream learning (2022)
Libera, Caio Della ; Miranda, Leandro ; Bernardini, Flávia Cristina ; Mastelini, Saulo Martiello ; Viterbo, José
Fonte: Lecture Notes in Computer Science. Nome do evento: IFIP WG 8.5 International Conference on Electronic Government - EGOV. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, DIREITOS E GARANTIAS INDIVIDUAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIBERA, Caio Della et al. ‘Right to be forgotten’: analyzing the impact of forgetting data using K-NN algorithm in data stream learning. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-15086-9_34. Acesso em: 05 nov. 2025. , 2022
APA
Libera, C. D., Miranda, L., Bernardini, F. C., Mastelini, S. M., & Viterbo, J. (2022). ‘Right to be forgotten’: analyzing the impact of forgetting data using K-NN algorithm in data stream learning. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-15086-9_34
NLM
Libera CD, Miranda L, Bernardini FC, Mastelini SM, Viterbo J. ‘Right to be forgotten’: analyzing the impact of forgetting data using K-NN algorithm in data stream learning [Internet]. Lecture Notes in Computer Science. 2022 ; 13391 530-542.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-15086-9_34
Vancouver
Libera CD, Miranda L, Bernardini FC, Mastelini SM, Viterbo J. ‘Right to be forgotten’: analyzing the impact of forgetting data using K-NN algorithm in data stream learning [Internet]. Lecture Notes in Computer Science. 2022 ; 13391 530-542.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-15086-9_34
Trabalho de evento-anais periodico
Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes (2021)
Ienco, Dino ; Pereira-Santos, Davi; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Artificial Neural Networks - ICANN. Unidade: ICMC
Assuntos: ANÁLISE DE SÉRIES TEMPORAIS, REDES NEURAIS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
IENCO, Dino e PEREIRA-SANTOS, Davi e CARVALHO, André Carlos Ponce de Leon Ferreira de. Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-86383-8_10. Acesso em: 05 nov. 2025. , 2021
APA
Ienco, D., Pereira-Santos, D., & Carvalho, A. C. P. de L. F. de. (2021). Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-86383-8_10
NLM
Ienco D, Pereira-Santos D, Carvalho ACP de LF de. Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes [Internet]. Lecture Notes in Computer Science. 2021 ; 12895 126-137.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-86383-8_10
Vancouver
Ienco D, Pereira-Santos D, Carvalho ACP de LF de. Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes [Internet]. Lecture Notes in Computer Science. 2021 ; 12895 126-137.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-86383-8_10
Trabalho de evento-anais periodico
Time-series in hyper-parameter initialization of machine learning techniques (2021)
Horváth, Tomás ; Mantovani, Rafael Gomes ; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, COMPONENTES PRINCIPAIS, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HORVÁTH, Tomás e MANTOVANI, Rafael Gomes e CARVALHO, André Carlos Ponce de Leon Ferreira de. Time-series in hyper-parameter initialization of machine learning techniques. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91608-4_25. Acesso em: 05 nov. 2025. , 2021
APA
Horváth, T., Mantovani, R. G., & Carvalho, A. C. P. de L. F. de. (2021). Time-series in hyper-parameter initialization of machine learning techniques. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-91608-4_25
NLM
Horváth T, Mantovani RG, Carvalho ACP de LF de. Time-series in hyper-parameter initialization of machine learning techniques [Internet]. Lecture Notes in Computer Science. 2021 ; 13113 246-258.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-91608-4_25
Vancouver
Horváth T, Mantovani RG, Carvalho ACP de LF de. Time-series in hyper-parameter initialization of machine learning techniques [Internet]. Lecture Notes in Computer Science. 2021 ; 13113 246-258.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-91608-4_25
Trabalho de evento-anais periodico
A fuzzy classifier for data streams with infinitely delayed labels (2019)
Silva, Tiago Pinho da; Souza, Vinícius M. A; Batista, Gustavo Enrique de Almeida Prado Alves; Camargo, Heloisa de Arruda
Fonte: Lecture Notes in Computer Science. Nome do evento: Iberoamerican Congress on Pattern Recognition - CIARP : Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Unidade: ICMC
Assuntos: ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, FUZZY (INTELIGÊNCIA ARTIFICIAL)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Tiago Pinho da et al. A fuzzy classifier for data streams with infinitely delayed labels. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-13469-3_34. Acesso em: 05 nov. 2025. , 2019
APA
Silva, T. P. da, Souza, V. M. A., Batista, G. E. de A. P. A., & Camargo, H. de A. (2019). A fuzzy classifier for data streams with infinitely delayed labels. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-13469-3_34
NLM
Silva TP da, Souza VMA, Batista GE de APA, Camargo H de A. A fuzzy classifier for data streams with infinitely delayed labels [Internet]. Lecture Notes in Computer Science. 2019 ; 11401 314-322.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-13469-3_34
Vancouver
Silva TP da, Souza VMA, Batista GE de APA, Camargo H de A. A fuzzy classifier for data streams with infinitely delayed labels [Internet]. Lecture Notes in Computer Science. 2019 ; 11401 314-322.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-13469-3_34
Trabalho de evento-anais periodico
Towards hierarchical classification of data streams (2019)
Parmezan, Antonio Rafael Sabino; Souza, Vinícius M. A; Batista, Gustavo Enrique de Almeida Prado Alves
Fonte: Lecture Notes in Computer Science. Nome do evento: Iberoamerican Congress on Pattern Recognition - CIARP : Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Unidade: ICMC
Assuntos: ANÁLISE DE SÉRIES TEMPORAIS, MINERAÇÃO DE DADOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PARMEZAN, Antonio Rafael Sabino e SOUZA, Vinícius M. A e BATISTA, Gustavo Enrique de Almeida Prado Alves. Towards hierarchical classification of data streams. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-13469-3_37. Acesso em: 05 nov. 2025. , 2019
APA
Parmezan, A. R. S., Souza, V. M. A., & Batista, G. E. de A. P. A. (2019). Towards hierarchical classification of data streams. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-13469-3_37
NLM
Parmezan ARS, Souza VMA, Batista GE de APA. Towards hierarchical classification of data streams [Internet]. Lecture Notes in Computer Science. 2019 ; 11401 314-322.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-13469-3_37
Vancouver
Parmezan ARS, Souza VMA, Batista GE de APA. Towards hierarchical classification of data streams [Internet]. Lecture Notes in Computer Science. 2019 ; 11401 314-322.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-13469-3_37
Trabalho de evento-anais periodico
A cluster-based prototype reduction for online classification (2018)
Garcia, Kemilly Dearo; Carvalho, André Carlos Ponce de Leon Ferreira de ; Moreira, João Mendes
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: ICMC
Assuntos: ANÁLISE DE SÉRIES TEMPORAIS, ANÁLISE ESTATÍSTICA DE DADOS, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Kemilly Dearo e CARVALHO, André Carlos Ponce de Leon Ferreira de e MOREIRA, João Mendes. A cluster-based prototype reduction for online classification. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-03493-1_63. Acesso em: 05 nov. 2025. , 2018
APA
Garcia, K. D., Carvalho, A. C. P. de L. F. de, & Moreira, J. M. (2018). A cluster-based prototype reduction for online classification. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-03493-1_63
NLM
Garcia KD, Carvalho ACP de LF de, Moreira JM. A cluster-based prototype reduction for online classification [Internet]. Lecture Notes in Computer Science. 2018 ; 11314 603-610.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-03493-1_63
Vancouver
Garcia KD, Carvalho ACP de LF de, Moreira JM. A cluster-based prototype reduction for online classification [Internet]. Lecture Notes in Computer Science. 2018 ; 11314 603-610.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-03493-1_63

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