Previsao de Casos de COVID-19 no Brasil com Aprendizagem de Maquina Automatizada

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{Magalhaes-Mendes:2021:SBrT,

• author = "Leticia {Magalhaes Mendes} and Elloa B. Guedes",
• title = "Previsao de Casos de {COVID-19} no {Brasil} com Aprendizagem de Maquina Automatizada",
• booktitle = "XXXIX Simposio Brasileiro de Telecomunicacoes e Processamento de Sinais - SBrT 2021",
• year = "2021",
• address = "Fortaleza, CE, Brazil",
• month = sep # " 26-29",
• keywords = "genetic algorithms, genetic programming, TPOT, Machine Learning, Time Series, COVID-19, GPU",
• URL = "https://biblioteca.sbrt.org.br/articlefile/2852.pdf",
• size = "2 pages",
• abstract = "we aim at using Automated Machine Learning to forecast new COVID-19 cases in Brazil. By using a Genetic Programming approach combined with Time Series Split cross-validation, it was possible to identify a Linear Vector Support regression with average R-squared of 0.4257 and maximum equal to 0.975, i.e., that improves its performance as more data becomes available",
• notes = "In Portuguese",

}

Genetic Programming entries for Leticia Magalhaes Mendes Elloa Barreto Guedes da Costa

Citations