Willem Waegeman
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Current position

I am a post-doctoral fellow of the Research Foundation - Flanders. I am a member of the research unit Knowledge-based Systems (KERMIT) of the Department of Applied Mathematics, Biometrics and Process Control, Ghent University. In the past, I have been a member of the SYSTemS-group of the Department of Electrical Energy, Systems and Automation, also at Ghent University.

Research interests

My main interests are machine learning and data mining, including theoretical research and various applications in the life sciences. In previous work, I have been using ideas from other domains as well, such as decision theory, statistics, fuzzy set theory and graph theory. Many of my papers can be situated in the field of preference learning.

Review work

I have been a reviewer for the following journals: Machine Learning Journal, IEEE Transactions on Neural Networks, Neural Networks, Artificial Intelligence in Medicine, Journal of Biopharmaceutical Statistics, Engineering Applications of Artificial Intelligence.


flag From Ranking to Intransitive Preference Learning: Rock-Paper-Scissors and Beyond Incorporating Exceptions
as author at  Workshops,
flag Learning a Layered Graph with a Maximal Number of Distinct Paths Between Source and Sink
as author at  Workshop ,