Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Abstract: Hyperparameter optimization plays a pivotal role in the reliability and generalization of machine-learning models for software quality prediction. This paper presents a comparative ...

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...

Impact Statement: Hyperparameter tuning is critical for enhancing model performance but poses challenges in high-dimensional spaces. Existing gradient-based methods approximate the hypergradient ...

As the power sector grapples with aging infrastructure, stricter sustainability mandates, and the rapid integration of renewables, innovation in operations and maintenance (O&M) has become critical to ...

Department of Computer Engineering, Netaji Subhas University of Technology, New Delhi, India Hyperparameters are pivotal for machine learning models. The success of efficient calibration, often ...