Matthijs van Leeuwen
Matthijs van Leeuwen
Associate Professor, Leiden University
Verified email at - Homepage
Cited by
Cited by
Krimp: mining itemsets that compress
J Vreeken, M Van Leeuwen, A Siebes
Data Mining and Knowledge Discovery 23, 169-214, 2011
Item Sets That Compress
A Siebes, J Vreeken, M van Leeuwen
Proceedings of the Sixth SIAM International Conference on Data Mining 124, 395, 2006
Diverse subgroup set discovery
M Van Leeuwen, A Knobbe
Data Mining and Knowledge Discovery 25, 208-242, 2012
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
Description-driven community detection
S Pool, F Bonchi, M Leeuwen
ACM Transactions on Intelligent Systems and Technology (TIST) 5 (2), 1-28, 2014
StreamKrimp: Detecting Change in Data Streams
M Van Leeuwen, A Siebes
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008
Compression picks item sets that matter
M van Leeuwen, J Vreeken, A Siebes
Knowledge Discovery in Databases: PKDD 2006: 10th European Conference on …, 2006
Interactive data exploration using pattern mining
M Van Leeuwen
Interactive knowledge discovery and data mining in biomedical informatics …, 2014
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
Characterising the difference
J Vreeken, M Van Leeuwen, A Siebes
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
Evolving vision-based flying robots
JC Zufferey, D Floreano, M Van Leeuwen, T Merenda
Biologically Motivated Computer Vision: Second International Workshop, BMCV …, 2002
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
Non-redundant subgroup discovery in large and complex data
M Van Leeuwen, A Knobbe
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011
Interpretable multiclass classification by MDL-based rule lists
HM Proença, M van Leeuwen
Information Sciences 512, 1372-1393, 2020
A survey on explainable anomaly detection
Z Li, Y Zhu, M Van Leeuwen
ACM Transactions on Knowledge Discovery from Data 18 (1), 1-54, 2023
Subjective interestingness of subgraph patterns
M van Leeuwen, T De Bie, E Spyropoulou, C Mesnage
Machine Learning 105, 41-75, 2016
Maximal exceptions with minimal descriptions
M van Leeuwen
Data Mining and Knowledge Discovery 21, 259-276, 2010
First results of a ferritin‐based blood donor deferral policy in the Netherlands
M Vinkenoog, K van den Hurk, M van Kraaij, M van Leeuwen, ...
Transfusion 60 (8), 1785-1792, 2020
Local subspace-based outlier detection using global neighbourhoods
B Van Stein, M Van Leeuwen, T Bäck
2016 IEEE International Conference on Big Data (Big Data), 1136-1142, 2016
Interactive discovery of interesting subgroup sets
V Dzyuba, M van Leeuwen
Advances in Intelligent Data Analysis XII: 12th International Symposium, IDA …, 2013
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