A time series is a sequence of time-ordered data, and it is generally used to describe how a
phenomenon evolves over time. Time series forecasting, estimating future values of time …

Deep learning (DL) has become a core component of modern artificial intelligence (AI),
driving significant advancements across diverse fields by facilitating the analysis of complex …

Time-series forecasting is crucial in the efficient operation and decision-making processes of
various industrial systems. Accurately predicting future trends is essential for optimizing …

Machine learning (ML) has transformed the financial industry by enabling advanced
applications such as credit scoring, fraud detection, and market forecasting. At the core of …

This review paper examines state-of-the-art algorithms and techniques in quantum machine
learning with potential applications in finance. We discuss QML techniques in supervised …

The integration of generative AI (GAI) into the financial sector has brought about significant
advancements, offering new solutions for various financial tasks. This review paper provides …

We investigate sample-based learning of conditional distributions on multi-dimensional unit
boxes, allowing for different dimensions of the feature and target spaces. Our approach …

This paper addresses the challenges of risk management in the financial market through a
data-driven approach. In investment management, it is important to detect and avoid market …