augmentation, Optuna-optimized hyperparameters, and bidirectional GRU algorithms for monthly FX rate forecasting. The data … insights for implementing ML and DL models on low-frequency time series data, where artificial data augmentation can be … propose a novel forecasting framework, the MVO-BiGRU model, which integrates variational mode decomposition (VMD), data …

improved model performance obtained through data augmentation is then highlighted, demonstrating its effectiveness in handling … of methodologies to provide a thorough study of our model. We first create a performance baseline without data … augmentation, addressing the difficulties in classifying Alzheimer's disease (AD) caused by high-dimensional MRI brain scans. The …

applications to inter alia new sample creation, data augmentation, boosting predictive models, anomaly detection, and missing data …

applications to inter alia new sample creation, data augmentation, boosting predictive models, anomaly detection, and missing data …

benefit of this data augmentation strategy is that it allows to easily account for serial correlation in the factor …