Alphas are stock prediction models capturing trading signals in a stock market. A set of
effective alphas can generate weakly correlated high returns to diversify the risk. Existing …

Time series classification is a thriving area of research in machine learning. Among many
applications, it is frequently applied to human activity analysis. Time series describing a …

The introduction of electronic trading platforms effectively changed the organisation of
traditional systemic trading from quote-driven markets into order-driven markets. Its …

Artificial intelligence-based algorithmic trading has recently started to attract more attention.
Among the techniques, deep learning-based methods such as transformers, convolutional …

Current state-of-the-art systems for hybrid memory management are enriched with machine
intelligence. To enable the practical use of Machine Learning (ML), system-level page …

Banks are usually large and complex companies that face a number of challenges to
support the rapid and effective sharing of information and content across their organizations …

Current state-of-the-art resource management systems leverage Machine Learning (ML)
methods to enable the efficient use of heterogeneous memory hardware, deployed across …

AI approaches to business knowledge management have often neglected the role of
documents, which are the backbone of expertise, norms, and optimal practices that every …