My paper ConvoMap: Using Convolution to Order Boolean Data, co-authored with two master students, Thomas Bollen and Guillaume Leurquin, won an award at the IDA conference in ’s-Hertogenbosch (The Netherlands) for the most innovative contribution.

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A new PhD student has joined the lab: Alex Mattenet.

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Publications

John Aoga, Tias Guns, Siegfried Nijssen, Pierre Schaus (2018): Finding Probabilistic Rule Lists using the Minimum Description Length Principle. In: Discovery Science 21th International Conference, DS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings

Thomas Bollen, Guillaume Leurquin, Siegfried Nijssen (2018): ConvoMap: Using Convolution to Order Boolean Data. In: Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, Proceedings

Anna Latour, Behrouz Babaki, Siegfried Nijssen (2018): Stochastic Constraint Optimization using Propagation on Ordered Binary Decision Diagrams. In: Eight International Workshop on Stochastical Relational AI, StarAI 2018

Florian Demesmaeker, Amine Ghrab, Siegfried Nijssen, Sabri Skhiri (2017): Discovering interesting patterns in large graph cubes. In: Proceedings of the Fourth International Workshop on High Performance Big Graph Data Management, Analysis, and Mining, in conjunction with the 2017 IEEE International Conference on Big Data (IEEE BigData 2017)

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Software

Some of my software is available online:

  • Implementations of my work with Tias Guns and Luc De Raedt on combining pattern mining and constraint programming can be found here.
  • Implementations of my work with Thanh Le Van and Luc De Raedt on finding patterns in ranked data can be found here.
  • The Gaston graph mining algorithm can be found here. Note: I implemented this program in 2004 and no longer maintain it. The website is maintained only for archival purposes.
  • The implementation of SC-ProbLog can be found in a branch of the ProbLog repository, which can be found here.

Teaching

I am lecturer for the following courses:

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