Matthijs van Leeuwen
Matthijs van Leeuwen is a former member of the ADA group. He currently holds a post-doctoral researcher position in the Machine Learning group of the Katholieke Universiteit Leuven, you can find his current web page here.
Matthijs was a Ph.D. student in the ADA group from September 2005 to December 2009 and defended his thesis 'Patterns that Matter' on February 9th 2010. After that, he became a postdoc working on the Exceptional Model Mining (EMM) project in the same group. In September 2011, he left
the group and started in Leuven.
Selected Refereed Publications
2012 |
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Diverse Subgroup Set Discovery. In: Data Mining and Knowledge Discovery, special issue ECMLPKDD'12, pp 242-208, Springer, 2012. |
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2011 |
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Non-Redundant Subgroup Discovery in Large and Complex Data. In: Proceedings of the European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Data 2011 (ECML PKDD'11), 2011. |
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Characterizing Uncertain Data using Compression. In: Proceedings of the SIAM Conference on Data Mining 2011 (SDM'11), 2011. |
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Krimp: Mining Itemsets that Compress. In: Data Mining and Knowledge Discovery, vol.23(1), Springer, 2011. |
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2010 |
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Subgroup Discovery meets Bayesian networks – an Exceptional Model Mining approach. In: Proceedings of the 10th IEEE International Conference on Data Mining (ICDM'10), 2010. |
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Maximal Exceptions with Minimal Descriptions. In: Data Mining and Knowledge Discovery, special issue ECMLPKDD'10, vol.21(2), pp 259-276, Springer, 2010. |
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Patterns that Matter, Dissertation, Universiteit Utrecht, 2010. |
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2009 |
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Compressing Tags to Find Interesting Media Groups. In: Proceedings of the ACM Conference on Information and Knowledge Management (CIKM'09), pp 1147-1156, 2009. |
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Identifying the Components. In: Data Mining and Knowledge Discovery, special issue ECMLPKDD'09, vol.19(2), pp 176-193, Springer, 2009. |
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2008 |
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StreamKrimp: Detecting Change in Data Streams. In: Proceedings of the European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Data 2008 Part II (ECML PKDD'08), pp 765-774, 2008. |
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2007 |
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Preserving Privacy through Data Generation. In: Proceedings of the IEEE Conference on Data Mining 2007 (ICDM'07), pp 685-690, 2007. |
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MDL for Pattern Mining. In: Proceedings of the international conference on Statistics for Data Mining, Learning and Knowledge Extraction Models (IASC'07), 2007. |
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Characterising the Difference. In: Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2007 (KDD'07), pp 765-774, 2007. |
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2006 |
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Compression Picks the Item Sets that Matter. In: Proceedings of the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'06), pp 585-592, 2006. |
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Item Sets That Compress. In: Proceedings of the SIAM Conference on Data Mining 2006 (SDM'06), pp 393-404, 2006. |
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2003 |
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Exploring Temporal Memory of LSTM and Spiking Circuits. In: Future of Neural Networks workshop 2003 (FUNN2003), 2003. |
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2002 |
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Evolving Vision-based Flying Robots. In: Proceedings of the 2nd International Workshop on Biologically Motivated Computer Vision 2002 (BMCV'02), 2002. |
Selected Unrefereed Publications
2007 |
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Privacy Preservation through Data Generation, Technical Report UU-CS-2007-020, Universiteit Utrecht, 2007. |
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2006 |
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Compression Picks the Significant Item Sets, Technical Report UU-CS-2006-050, Universiteit Utrecht, 2006. |
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2004 |
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Spike Timing Dependent Structural Plasticity, in a single model neuron, M.Sc. Thesis, Institute for Information and Computing Sciences, Utrecht University, 2004. |
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2002 |
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Evolutionary blimp & i, Internship report. Institute for Information and Computing Sciences, Utrecht University, Universiteit Utrecht, 2002. |



