Projects
ERGO-Eyehand: Ergonomic Monitoring and Improvement Hasselt University
Faster assembly and maintenance through augmented reality Hasselt University
Location-secured cryptographic solutions based on acoustic signals for smart embedded connected systems and passive nodes KU Leuven
Connected devices are creating a smart world: smart homes, hospitals, and cities, smart cars, logistics and industries. The success of new applications employing wireless devices will heavily depend on the security of these embedded systems. The geographical position of persons and devices can be very relevant information in many applications requiring secure authentication over wireless links. For example, contactless payment solutions and ...
PU learning from relational data KU Leuven
An algorithm, like a human, is said to learn if its performance on a task improves as it gains more experience. For example, consider the task of labeling an abnormality on a mammogram as benign or malignant, where experience consists of a radiologist’s description of an abnormality and its known label. Traditional machine learning approaches for binary classification require having access to fully labeled data, containing positive and ...
Free Generalized Monoids for Programming and Proving KU Leuven
Programmer productivity is key in today's software development: broader functionality must be provided on more projects, in less time and with fewer developers. Yet, productivity often suffers because programmers structure and reason about their programs in an ad-hoc manner.
This project aims to remedy the situation by applying concepts from category theory, an abstract branch of mathematics, to systematically structure programs. More ...
Improving comprehensibility and performance of risk prediction models for decision support in clinical environments KU Leuven
Visual analytics (VA) combines automated analysis with visualisation techniques to gain insight into complex datasets. The overall objective is to create a feedback loop and to enable end-users to steer the analysis process. Whereas much advancement has been made in the field, there are still several open challenges associated with this “human-in-the-loop” approach to data analysis. A first key challenge is to enable end-users to understand ...