Projects
COMPASS: Computer Aided Respiratory Therapy based on Audio and Spirometry Signals KU Leuven
Judging Judicial AI: Towards stronger safeguards for the rule of law in an artificially intelligent age KU Leuven
Exploring the ethical consequences of black-box medicine Ghent University
Autonomy, responsibility and the prospects of explainable AI
Artificial intelligence (AI) tools in medicine are increasingly opaque. This means that it becomes very hard – or simply impossible – to understand why an AI tool generated a certain outcome given the input it received. Moreover, the most promising techniques such as deep neural networks are the most opaque as well. This makes the ethical concerns related to the ...
PrioriTCR - Prioritization of T-cell receptors for development of T-cell therapy using an immunoinformatics approach. University of Antwerp
Robust inference techniques based on resampling KU Leuven
Linear regression is the most famous type of regression analysis in statistics. A statistical analysis of a linear regression model usually begins with estimation of the regression coefficients and continues with measuring the accuracy of the estimators. Unfortunately, it is well known that a traditional statistical analysis based on the least squares principle is very sensitive to outliers in the data. Although many robust estimators have ...
R-EduAI - Socio-technological reference framework for advancing responsible AI in education Hasselt University
SRP-Onderzoekszwaartepunt: Learning-based Signal and Data Processing Systems (LSDS) Vrije Universiteit Brussel
Modular Control- and Dataflow Effects. KU Leuven
Programming languages have enabled the widespread adoption of software by today's society. Yet, it is becoming increasingly clear that current software development practice cannot any longer sustain the growth rate that society needs. The hidden control− and dataflow effects in software are to blame for this impending crisis: they prevent the best practice of modular software development from meeting the demand. The overarching objective of ...
Extending Automatic Algorithm Selection to the Online Setting KU Leuven
The goal of this PhD is to extend the methodology of automatic algorithm selection to the online setting. The goal of automatic algorithm selection is to automatically select the best algorithm to solve a problem with. This field of research is motivated by the observation that for many problems in artificial intelligence and operations research no clear best algorithm exists. Rather, each algorithm performs well on some of the problem ...