Abstract: Irregular time series analysis is increasingly essential in data management due to the proliferation of complex data irregularly sampled by real-world systems. Traditional time series models ...

The Sports Analytics Research Group employs quantitative analysis to give teams the hard numbers they need to perform better ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

Abstract: In time series anomaly detection (TSAD), the scarcity of labeled data poses a challenge to the development of accurate models. Unsupervised domain adaptation (UDA) offers a solution by ...

Business users can now determine the best course of action under real-world constraints and uncertainty, with input ...

Xizhe Zhang is a professor working across computer science and medicine at the Affiliated Brain Hospital of Nanjing Medical University and the School of Biomedical Engineering and Informatics, Nanjing ...

Gain insights on using time and sales data for smarter trading. Learn how to analyze real-time trade orders to refine your ...

Many of the insights hitting soccer pitches today trace back to Jesse Davis and a team of computer scientists open-sourcing tools for some of the sport’s trickiest problems.

I'll explore how integrating a comprehensive AI-driven onboarding framework can provide a realistic, effective blueprint for modern financial institutions.