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  • Rodríguez Rivero, C., Pucheta, J., Patiño, D., Puglisi, J. L., Otaño, P., Franco, L., Juarez, G., Gorrostieta, E., & Orjuela-Cañón, A. D. (2019). Bayesian Inference for Training of Long Short Term Memory Models in Chaotic Time Series Forecasting. In A. D. Orjuela-Cañón, J. C. Figueroa-García, & J. D. Arias-Londoño (Eds.), Applications of Computational Intelligence: Second IEEE Colombian Conference, ColCACI 2019, Barranquilla, Colombia, June 5-7, 2019 : revised selected papers (pp. 197-208). (Communications in Computer and Information Science; Vol. 1096). Springer. https://doi.org/10.1007/978-3-030-36211-9_16
  • Rodriguez Rivero, C., Pucheta, J., Otaño, P., Orjuela-Cañon, A. D., Patiño, D., Franco, L., Gorrostieta, E., Puglisi, J. L., & Juarez, G. (2019). Time Series Forecasting using Recurrent Neural Networks modified by Bayesian Inference in the Learning Process. In A. D. Orjuela-Cañón (Ed.), 2019 IEEE Colombian Conference on Applications in Computational Intelligence - ColCACI: conference proceedings : June 5-7th 2019, Barranquilla, Colombia (pp. 1-6). Article 5 IEEE. https://doi.org/10.1109/ColCACI.2019.8781984
  • Open Access
    Pucheta, J., Salas, C., Herrera, M., Rodriguez Rivero, C. R., & Alasino, G. (2019). Short and Long-Term Time Series Forecasting Stochastic Analysis for Slow Dynamic Processes. Applied Mathematics, 10(8), 704-717. https://doi.org/10.4236/am.2019.108050
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