Matthijs van Leeuwen

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Jilles VreekenCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Luc De Raedtprofessor, KU Leuven & guestprofessor, Örebro UniversityVerified email at cs.kuleuven.be
Siegfried NijssenICTEAM, EPL, Université catholique de Louvain; Universiteit LeidenVerified email at uclouvain.be
Thomas BäckProfessor of Computer Science, Leiden University; Chief Scientist, NORCE Research Centre, NorwayVerified email at liacs.leidenuniv.nl
Antti UkkonenSpeechly & University of HelsinkiVerified email at helsinki.fi
Vladimir DzyubaFaktionVerified email at faktion.com
Thanh Le VanJanssen Pharmaceutica NV - Johnson and JohnsonVerified email at its.jnj.com
Hugo ProençaBooking.comVerified email at liacs.leidenuniv.nl
Arno KnobbeLIACS, Leiden UniversityVerified email at liacs.leidenuniv.nl
Francesco BonchiResearch Director at CentaiVerified email at centai.eu
Tijl De BieFull Professor, Ghent UniversityVerified email at ugent.be
Marieke VinkenoogPhD Data Science, Leiden University & Sanquin ResearchVerified email at sanquin.nl
Sander van RijnPhD Student LIACSVerified email at liacs.leidenuniv.nl
Lincen YangPhD candidate in Computer Science, Leiden UniversityVerified email at liacs.leidenuniv.nl
Lieven VerbekeCentrica Business SolutionsVerified email at centrica.com
Jimmy Van den EyndenAssistant professor at Ghent UniversityVerified email at ugent.be
Dries De MaeyerVerified email at its.jnj.com
Peter GrünwaldGroup Leader Machine Learning, CWI; Professor of Statistics, Leiden UniversityVerified email at cwi.nl
Hao WangAssistant Professor in Leiden UniversityVerified email at liacs.leidenuniv.nl
Niki van SteinLeiden UniversityVerified email at liacs.leidenuniv.nl

Matthijs van Leeuwen

Associate Professor, Leiden University

Verified email at liacs.leidenuniv.nl - Homepage

Data mining pattern mining information theory machine learning artificial intelligence


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Krimp: mining itemsets that compress J Vreeken, M Van Leeuwen, A Siebes Data Mining and Knowledge Discovery 23, 169-214, 2011	380	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	203	2006
Diverse subgroup set discovery M Van Leeuwen, A Knobbe Data Mining and Knowledge Discovery 25, 208-242, 2012	153	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	106	2018
Description-driven community detection S Pool, F Bonchi, M Leeuwen ACM Transactions on Intelligent Systems and Technology (TIST) 5 (2), 1-28, 2014	92	2014
Compression picks item sets that matter M van Leeuwen, J Vreeken, A Siebes Knowledge Discovery in Databases: PKDD 2006: 10th European Conference on …, 2006	85	2006
StreamKrimp: Detecting Change in Data Streams M Van Leeuwen, A Siebes Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008	84	2008
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	79	2010
Characterising the difference J Vreeken, M Van Leeuwen, A Siebes Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	79	2007
Interactive data exploration using pattern mining M Van Leeuwen Interactive knowledge discovery and data mining in biomedical informatics …, 2014	78	2014
Evolving vision-based flying robots JC Zufferey, D Floreano, M Van Leeuwen, T Merenda Biologically Motivated Computer Vision: Second International Workshop, BMCV …, 2002	78	2002
Non-redundant subgroup discovery in large and complex data M Van Leeuwen, A Knobbe Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011	54	2011
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	47	2016
Maximal exceptions with minimal descriptions M van Leeuwen Data Mining and Knowledge Discovery 21, 259-276, 2010	46	2010
Interactive discovery of interesting subgroup sets V Dzyuba, M van Leeuwen Advances in Intelligent Data Analysis XII: 12th International Symposium, IDA …, 2013	41	2013
Interpretable multiclass classification by MDL-based rule lists HM Proença, M van Leeuwen Information Sciences 512, 1372-1393, 2020	39	2020
Flexible constrained sampling with guarantees for pattern mining V Dzyuba, M van Leeuwen, L De Raedt Data Mining and Knowledge Discovery 31, 1266-1293, 2017	38	2017
Subjective interestingness of subgraph patterns M van Leeuwen, T De Bie, E Spyropoulou, C Mesnage Machine Learning 105, 41-75, 2016	38	2016
Interactive learning of pattern rankings V Dzyuba, M Leeuwen, S Nijssen, L De Raedt International Journal on Artificial Intelligence Tools 23 (06), 1460026, 2014	38	2014
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	37	2016

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