Data Sciences and Machine Intelligence

Machine Learning Helps Track Objects in Complex Scenes Over Time

Acton and Lin are developing a visual object tracking system that switches between automated and manual analysis to deliver the best results.

Joint Research with Penn State University Innovates Expert-Based Wireless Network Management Systems

Machine-learning solution combines pure data-driven reinforcement learning algorithms with domain knowledge.

The Defense Advanced Research Projects Agency, or DARPA, is helping to fund “Reliable Analytics for Disease Indicators,” a collaborative project using data collected on the UVA-developed mobile app Sensus.

Research in Social Computing Detects Meaningful Patterns in Messy Data

Li continues research on algorithms that make predictive models more accurate and productive.

Research Charts Path for More Intelligent Wireless Communications

Shen hopes to innovate deep learning theory and develop new tools to clear a path toward more intelligence wireless communications.

New Modeling Tool Has Implications for Better Understanding of Disease

In an open-source research paper, a UVA Engineering professor and her former Ph.D. student share a new, more accurate method for modeling evolutionary change.

Imaging Research Focuses on Registration Algorithms Embedded in a Dynamic, 3-D Model of the Patient's Brain.

New statistical approach classifies and generates more accurate predictions from big data

Amiridi aims to apply her algorithms to a variety of real-world health datasets and ultimately help improve patient outcomes.

Research Aims to Improve Algorithms that Rank Alternatives Based on Individual Preferences.

Data-driven methods play important role in wireless communications

Nikolaos Sidiropoulos’ pioneering paper is among IEEE's “Best Readings in Machine Learning in Communications.”