Robust estimation and outlier detection play a critical role in modern data analysis, particularly when dealing with high-dimensional datasets. In such contexts, classical statistical methods often ...

Intrinsic dimensionality estimation seeks to determine the minimum number of variables required to describe the structure underlying high-dimensional datasets. By identifying the true manifold that ...

Positioned at the intersection of quantitative finance, statistical learning, and modern AI, the research addresses a ...

Artificial intelligence (AI) processing rests on the use of vectorised data. In other words, AI turns real-world information into data that can be used to gain insight, searched for and manipulated.

Generative AI is revolutionizing data and analytics, but its applications demand advanced data management capabilities to handle vast, diverse, and complex datasets that include images, video, audio, ...

The adoption of artificial intelligence in healthcare is accelerating at twice the rate of the broader economy, driven by the ...