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		<issn>2359-0793</issn>
		<citationkey>IbanezRosaGuimJosh:2020:FoEnEx</citationkey>
		<title>Forecasting endogenous and exogenous time series generated by P-model Aagorithm using the Keras machine learning API</title>
		<year>2020</year>
		<typeofwork>conference paper</typeofwork>
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		<author>Ibanez, Marilyn Minicucci,</author>
		<author>Rosa, Reinaldo Roberto,</author>
		<author>Guimarães, Lamartine Nogueira Frutuoso,</author>
		<author>Joshi, Neelakshi,</author>
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		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto de Estudos Avançados (IAE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>1marilynminicucciibanez1@gmail.com</electronicmailaddress>
		<electronicmailaddress>reinaldo.rosa@inpe.br</electronicmailaddress>
		<electronicmailaddress>lamar.guima@gmail.com</electronicmailaddress>
		<electronicmailaddress>neelakshij@gmail.com</electronicmailaddress>
		<journal>Proceedings Series of the Brazilian Society of Computational and Applied Mathematics</journal>
		<volume>7</volume>
		<number>1</number>
		<pages>e10159</pages>
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		<keywords>P-model Algorithm, Multiplicative Information Cascade, Machine Learning, Social Sciences.</keywords>
		<area>COMP</area>
		<language>pt</language>
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		<notes>Trabalho apresentado no XXXIX CNMAC, Uberlândia - MG, 2019.</notes>
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