1 code implementation • 8 Apr 2021 • Manuel Carranza-García, Pedro Lara-Benítez, Jorge García-Gutiérrez, José C. Riquelme
Finally, we design an ensemble model to combine the strengths of the different learning strategies.
1 code implementation • 22 Mar 2021 • Pedro Lara-Benítez, Manuel Carranza-García, José C. Riquelme
By training more than 38000 models on these data, we provide the most extensive deep learning study for time series forecasting.
1 code implementation • 5 Mar 2020 • Pedro Lara-Benítez, Manuel Carranza-García, Francisco Martínez-Álvarez, José C. Riquelme
Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions.