Lazcano, AnaLazcano, AnaHidalgo, PabloSandubete Galán, Julio EmilioSandubete, Julio E.2026-01-282026-01-282024-12Lazcano, A, Hidalgo, P & Sandubete, J E 2024, 'Walking Back the Data Quantity Assumption to Improve Time Series Prediction in Deep Learning', Applied Sciences (Switzerland), vol. 14, no. 23, 11081. https://doi.org/10.3390/app1423110812076-3417https://hdl.handle.net/10641/7655Publisher Copyright: © 2024 by the authors.3378450enghttp://creativecommons.org/licenses/by-nc-nd/4.0/LSTMMLPpreprocessingtime series forecastingtransformerGeneral Materials ScienceInstrumentationGeneral EngineeringProcess Chemistry and TechnologyComputer Science ApplicationsFluid Flow and Transfer ProcessesYesyesWalking Back the Data Quantity Assumption to Improve Time Series Prediction in Deep LearningRevisando la suposición sobre la cantidad de datos para mejorar la predicción de series temporales en aprendizaje profundojournal articleopen access10.3390/app142311081https://www.scopus.com/pages/publications/85211768642https://www.scopus.com/pages/publications/85211768642#tab=citedBy