Walking Back the Data Quantity Assumption to Improve Time Series Prediction in Deep Learning

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 Learningjournal articleopen access10.3390/app142311081https://www.scopus.com/pages/publications/85211768642https://www.scopus.com/pages/publications/85211768642#tab=citedBy