Fuzzy-based ensemble method for robust concept drift detection in multivariate time series (2025)
Fonte: IJCNN. Nome do evento: International Joint Conference on Neural Networks. Unidades: EP, ICMC
Assuntos: ANÁLISE DE SÉRIES TEMPORAIS, ÓLEO E GAS, ROBUSTEZ
ABNT
TAVARES, Lucas Giusti et al. Fuzzy-based ensemble method for robust concept drift detection in multivariate time series. 2025, Anais.. [Piscataway]: IEEE, 2025. Disponível em: https://doi.org/10.1109/IJCNN64981.2025.11228919. Acesso em: 02 dez. 2025.APA
Tavares, L. G., Lima, J., Melo, M., Chen, C., Garibaldi, J., Scatena, G. dos S., et al. (2025). Fuzzy-based ensemble method for robust concept drift detection in multivariate time series. In IJCNN. [Piscataway]: IEEE. doi:10.1109/IJCNN64981.2025.11228919NLM
Tavares LG, Lima J, Melo M, Chen C, Garibaldi J, Scatena G dos S, Reali Costa AH, Gomi ES, Salles R, Pacitti E, Santos I, Siqueira IG, Carvalho D, Coutinho R, Porto F, Ogasawara E. Fuzzy-based ensemble method for robust concept drift detection in multivariate time series [Internet]. IJCNN. 2025 ;[citado 2025 dez. 02 ] Available from: https://doi.org/10.1109/IJCNN64981.2025.11228919Vancouver
Tavares LG, Lima J, Melo M, Chen C, Garibaldi J, Scatena G dos S, Reali Costa AH, Gomi ES, Salles R, Pacitti E, Santos I, Siqueira IG, Carvalho D, Coutinho R, Porto F, Ogasawara E. Fuzzy-based ensemble method for robust concept drift detection in multivariate time series [Internet]. IJCNN. 2025 ;[citado 2025 dez. 02 ] Available from: https://doi.org/10.1109/IJCNN64981.2025.11228919
