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Matthijs van Leeuwen
Matthijs van Leeuwen
Associate Professor, Leiden University
Vahvistettu sähköpostiosoite verkkotunnuksessa liacs.leidenuniv.nl - Kotisivu
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Krimp: mining itemsets that compress
J Vreeken, M Van Leeuwen, A Siebes
Data Mining and Knowledge Discovery 23 (1), 169-214, 2011
3692011
Item Sets That Compress
A Siebes, J Vreeken, M van Leeuwen
Proceedings of the Sixth SIAM International Conference on Data Mining 124, 395, 2006
2032006
Diverse subgroup set discovery
M Van Leeuwen, A Knobbe
Data Mining and Knowledge Discovery 25 (2), 208-242, 2012
1492012
Predicting outcome of endovascular treatment for acute ischemic stroke: potential value of machine learning algorithms
HJA Van Os, LA Ramos, A Hilbert, M Van Leeuwen, ...
Frontiers in neurology 9, 784, 2018
912018
Description-driven community detection
S Pool, F Bonchi, M Leeuwen
ACM Transactions on Intelligent Systems and Technology (TIST) 5 (2), 1-28, 2014
912014
Compression picks item sets that matter
M Leeuwen, J Vreeken, A Siebes
European Conference on Principles of Data Mining and Knowledge Discovery …, 2006
832006
Subgroup discovery meets bayesian networks--an exceptional model mining approach
W Duivesteijn, A Knobbe, A Feelders, M van Leeuwen
2010 IEEE International Conference on Data Mining, 158-167, 2010
822010
StreamKrimp: Detecting Change in Data Streams
M Leeuwen, A Siebes
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008
802008
Characterising the difference
J Vreeken, M Van Leeuwen, A Siebes
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
802007
Evolving vision-based flying robots
JC Zufferey, D Floreano, M Leeuwen, T Merenda
International Workshop on Biologically Motivated Computer Vision, 592-600, 2002
772002
Interactive data exploration using pattern mining
M Leeuwen
Interactive knowledge discovery and data mining in biomedical informatics …, 2014
762014
Non-redundant subgroup discovery in large and complex data
M Leeuwen, A Knobbe
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
502011
Evolving the structure of evolution strategies
S van Rijn, H Wang, M van Leeuwen, T Bäck
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016
432016
Maximal exceptions with minimal descriptions
M van Leeuwen
Data Mining and Knowledge Discovery 21 (2), 259-276, 2010
432010
Interactive discovery of interesting subgroup sets
V Dzyuba, M Leeuwen
International Symposium on Intelligent Data Analysis, 150-161, 2013
382013
Flexible constrained sampling with guarantees for pattern mining
V Dzyuba, M van Leeuwen, L De Raedt
Data Mining and Knowledge Discovery 31 (5), 1266-1293, 2017
372017
Subjective interestingness of subgraph patterns
M van Leeuwen, T De Bie, E Spyropoulou, C Mesnage
Machine Learning 105 (1), 41-75, 2016
372016
Discovering skylines of subgroup sets
M Leeuwen, A Ukkonen
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
372013
Interpretable multiclass classification by MDL-based rule lists
HM Proença, M van Leeuwen
Information Sciences 512, 1372-1393, 2020
352020
Interactive learning of pattern rankings
V Dzyuba, M Leeuwen, S Nijssen, L De Raedt
International Journal on Artificial Intelligence Tools 23 (06), 1460026, 2014
352014
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