On-the-fly Data Augmentation for Forecasting with Deep Learning

no code implementations • 25 Apr 2024 • Vitor Cerqueira, Moisés Santos, Yassine Baghoussi, Carlos Soares

We validated the proposed approach using a state-of-the-art deep learning forecasting method and 8 benchmark datasets containing a total of 75797 time series.

Data Augmentation Synthetic Data Generation +1

tsMorph: generation of semi-synthetic time series to understand algorithm performance

no code implementations • 3 Dec 2023 • Moisés Santos, André de Carvalho, Carlos Soares

In this paper, we demonstrate the utility of tsMorph by assessing the performance of the Long Short-Term Memory Network forecasting algorithm.

Time Series Time Series Forecasting