Erfan Moeini

Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series

Active research in time series classification and forecasting has led to the development of a wide range of machine learning models. For practitioners, the selection of a suitable model among these, along with their hyperparameters, remains a challenging task. While automated machine learning offers