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English Information

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Authors
# Name
1 João Freitas(joaodavidfreitasc@edu.unifor.br)
2 Caio Ponte(caioponte@unifor.br)
3 Rafael Bomfim(bomfim@unifor.br)
4 Carlos Caminha(caminha@ufc.br)

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Reference
# Reference
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2 Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., et al. Tensorflow: a system for large-scale machine learning. In Osdi (2016). Vol. 16. Savannah, GA, USA, USENIX Association, USA, pp. 265–283, 2016.
3 Ponte, C., Melo, H. P. M., Caminha, C., Andrade Jr, J. S., and Furtado, V. Traveling heterogeneity in public transportation. EPJ Data Science 7 (1): 1–10, 2018.
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10 Bomfim, R., Pei, S., Shaman, J., Yamana, T., Makse, H. A., Andrade Jr, J. S., Lima Neto, A. S., and Furtado, V. Predicting dengue outbreaks at neighbourhood level using human mobility in urban areas. Journal of the Royal Society Interface 17 (171): 20200691, 2020.
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34 Ponte, C., Carmona, H. A., Oliveira, E. A., Caminha, C., Lima, A. S., Andrade Jr, J. S., and Furtado, V. Tracing contacts to evaluate the transmission of covid-19 from highly exposed individuals in public transportation. Scientific Reports 11 (1): 24443, 2021.
35 Ponte, C., Melo, H. P. M., Caminha, C., Andrade Jr, J. S., and Furtado, V. Traveling heterogeneity in public transportation. EPJ Data Science 7 (1): 1–10, 2018.
36 Salles, R., Belloze, K., Porto, F., Gonzalez, P. H., and Ogasawara, E. Nonstationary time series transformation methods: An experimental review. Knowledge-Based Systems vol. 164, pp. 274–291, 2019.
37 Shynkevich, Y., McGinnity, T. M., Coleman, S. A., Belatreche, A., and Li, Y. Forecasting price movements using technical indicators: Investigating the impact of varying input window length. Neurocomputing vol. 264, pp. 71–88, 2017.
38 Taieb, S. B., Bontempi, G., Atiya, A. F., and Sorjamaa, A. A review and comparison of strategies for multi-step ahead time series forecasting based on the nn5 forecasting competition. Expert systems with applications 39 (8): 7067–7083, 2012.
39 Ughi, R., Lomurno, E., and Matteucci, M. Two steps forward and one behind: Rethinking time series forecasting with deep learning. arXiv preprint arXiv:2304.04553 , 2023.
40 Wolpert, D. H. Stacked generalization. Neural networks 5 (2): 241–259, 1992.