Abstract: This study introduces a novel deep learning architecture for automated sleep stage classification addressing the limitations of traditional methods which are often labor-intensive and ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Abstract: This paper presents a sector-specific employment forecasting framework that integrates deep learning with heterogeneous labor market data, including job postings and macroeconomic indicators ...