@Article{IbanezRosaGuimJosh:2020:FoEnEx,
               author = "Ibanez, Marilyn Minicucci and Rosa, Reinaldo Roberto and 
                         Guimar{\~a}es, Lamartine Nogueira Frutuoso and Joshi, Neelakshi",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto de Estudos 
                         Avan{\c{c}}ados (IAE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Forecasting endogenous and exogenous time series generated by 
                         P-model Aagorithm using the Keras machine learning API",
              journal = "Proceedings Series of the Brazilian Society of Computational and 
                         Applied Mathematics",
                 year = "2020",
               volume = "7",
               number = "1",
                pages = "e10159",
                 note = "Trabalho apresentado no XXXIX CNMAC, Uberl{\^a}ndia - MG, 2019.",
             keywords = "P-model Algorithm, Multiplicative Information Cascade, Machine 
                         Learning, Social Sciences.",
                 issn = "2359-0793",
             language = "pt",
           targetfile = "ibanez_forecasting.pdf",
        urlaccessdate = "27 abr. 2024"
}