Matthijs van Leeuwen

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 58

Top Venues

CoRR

Data Min. Knowl. Discov.

Mach. Learn.

IDA

Utrecht University, Netherlands (PHD)

Education History

Utrecht University, Netherlands

PHD

Publications

Lincen Yang, Matthijs van Leeuwen
Probabilistic Truly Unordered Rule Sets. CoRR (2024)
Zhong Li, Yuxuan Zhu, Matthijs van Leeuwen
A Survey on Explainable Anomaly Detection. ACM Trans. Knowl. Discov. Data 18 (1) (2024)
Antonio Lopez-Martinez-Carrasco, Hugo Manuel Proença, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos
Novel Approach for Phenotyping Based on Diverse Top-K Subgroup Lists. AIME (2023)
Zhong Li, Matthijs van Leeuwen
Explainable contextual anomaly detection using quantile regression forests. Data Min. Knowl. Discov. 37 (6) (2023)
Zhong Li, Jiayang Shi, Matthijs van Leeuwen
Graph Neural Network based Log Anomaly Detection and Explanation. CoRR (2023)
Zhong Li, Matthijs van Leeuwen
Robust and Explainable Contextual Anomaly Detection using Quantile Regression Forests. CoRR (2023)
Richard van Dijk, Daniela Gawehns, Matthijs van Leeuwen
WEARDA: recording wearable sensor data for human activity monitoring. CoRR (2023)
Shannon K. S. Kroes, Matthijs van Leeuwen, Rolf H. H. Groenwold, Mart P. Janssen
Evaluating Cluster-Based Synthetic Data Generation for Blood-Transfusion Analysis. J. Cybersecur. Priv. 3 (4) (2023)
Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen
Unsupervised discretization by two-dimensional MDL-based histogram. Mach. Learn. 112 (7) (2023)
Ioanna Papagianni, Matthijs van Leeuwen
Discovering Rule Lists with Preferred Variables. IDA (2023)
Antonio Lopez-Martinez-Carrasco, Hugo Manuel Proença, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos
Discovering Diverse Top-K Characteristic Lists. IDA (2023)
Lincen Yang, Tim Opdam, Matthijs van Leeuwen
Histogram-based Probabilistic Rule Lists for Numeric Targets (short paper). KDID (2022)
Lincen Yang, Matthijs van Leeuwen
Truly Unordered Probabilistic Rule Sets for Multi-class Classification. ECML/PKDD (5) (2022)
Zhong Li, Matthijs van Leeuwen
Feature Selection for Fault Detection and Prediction based on Event Log Analysis. CoRR (2022)
Zhong Li, Matthijs van Leeuwen
Feature Selection for Fault Detection and Prediction based on Event Log Analysis. SIGKDD Explor. 24 (2) (2022)
Zhong Li, Yuxuan Zhu, Matthijs van Leeuwen
A Survey on Explainable Anomaly Detection. CoRR (2022)
Shannon K. S. Kroes, Matthijs van Leeuwen, Rolf H. H. Groenwold, Mart P. Janssen
Generating synthetic mixed discrete-continuous health records with mixed sum-product networks. J. Am. Medical Informatics Assoc. 30 (1) (2022)
Hugo Manuel Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen
Robust subgroup discovery. Data Min. Knowl. Discov. 36 (5) (2022)
Lincen Yang, Matthijs van Leeuwen
Truly Unordered Probabilistic Rule Sets for Multi-class Classification. CoRR (2022)
Hugo Manuel Proença, Thomas Bäck, Matthijs van Leeuwen
Robust subgroup discovery. CoRR (2021)
Sander van Rijn, Sebastian Schmitt, Matthijs van Leeuwen, Thomas Bäck
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling. CoRR (2021)
Alexander Marx, Lincen Yang, Matthijs van Leeuwen
Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms. SDM (2021)
Sarang Kapoor, Dhish Kumar Saxena, Matthijs van Leeuwen
Online summarization of dynamic graphs using subjective interestingness for sequential data. Data Min. Knowl. Discov. 35 (1) (2021)
Alexander Marx, Lincen Yang, Matthijs van Leeuwen
Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms. CoRR (2021)
Hugo Manuel Proença, Matthijs van Leeuwen
Interpretable multiclass classification by MDL-based rule lists. Inf. Sci. 512 (2020)
Sarang Kapoor, Dhish Kumar Saxena, Matthijs van Leeuwen
Discovering subjectively interesting multigraph patterns. Mach. Learn. 109 (8) (2020)
Hugo Manuel Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen
Discovering Outstanding Subgroup Lists for Numeric Targets Using MDL. ECML/PKDD (1) (2020)
Clément Gautrais, Peggy Cellier, Matthijs van Leeuwen, Alexandre Termier
Widening for MDL-Based Retail Signature Discovery. IDA (2020)
Hugo Manuel Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen
Discovering outstanding subgroup lists for numeric targets using MDL. CoRR (2020)
Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen
Unsupervised Discretization by Two-dimensional MDL-based Histogram. CoRR (2020)
Micky Faas, Matthijs van Leeuwen
Vouw: Geometric Pattern Mining Using the MDL Principle. IDA (2020)
Marieke Vinkenoog, Mart Janssen, Matthijs van Leeuwen
Challenges and Limitations in Clustering Blood Donor Hemoglobin Trajectories. AALTD@PKDD/ECML (2019)
Hugo Manuel Proença, Matthijs van Leeuwen
Interpretable multiclass classification by MDL-based rule lists. CoRR (2019)
Micky Faas, Matthijs van Leeuwen
Vouw: Geometric Pattern Mining using the MDL Principle. CoRR (2019)
Matthijs van Leeuwen, Polo Chau, Jilles Vreeken, Dafna Shahaf, Christos Faloutsos
Addendum to the Special Issue on Interactive Data Exploration and Analytics (TKDD, Vol. 12 Iss. 1). ACM Trans. Knowl. Discov. Data 13 (1) (2019)
Hugo Manuel Proença, Ruben Klijn, Thomas Bäck, Matthijs van Leeuwen
Identifying flight delay patterns using diverse subgroup discovery. SSCI (2018)
Sander van Rijn, Sebastian Schmitt, Markus Olhofer, Matthijs van Leeuwen, Thomas Bäck
Multi-fidelity surrogate model approach to optimization. GECCO (Companion) (2018)
Vladimir Dzyuba, Matthijs van Leeuwen
Learning What Matters - Sampling Interesting Patterns. PAKDD (1) (2017)
Vladimir Dzyuba, Matthijs van Leeuwen, Luc De Raedt
Flexible constrained sampling with guarantees for pattern mining. Data Min. Knowl. Discov. 31 (5) (2017)
Thanh Le Van, Siegfried Nijssen, Matthijs van Leeuwen, Luc De Raedt
Semiring Rank Matrix Factorization. IEEE Trans. Knowl. Data Eng. 29 (8) (2017)
Sergey Paramonov, Matthijs van Leeuwen, Luc De Raedt
Relational data factorization. Mach. Learn. 106 (12) (2017)
Antti Ukkonen, Vladimir Dzyuba, Matthijs van Leeuwen
Explaining Deviating Subsets Through Explanation Networks. ECML/PKDD (2) (2017)
Vladimir Dzyuba, Matthijs van Leeuwen
Learning what matters - Sampling interesting patterns. CoRR (2017)
Thanh Le Van, Matthijs van Leeuwen, Ana Carolina Fierro, Dries De Maeyer, Jimmy Van den Eynden, Lieven P. C. Verbeke, Luc De Raedt, Kathleen Marchal, Siegfried Nijssen
Simultaneous discovery of cancer subtypes and subtype features by molecular data integration. Bioinform. 32 (17) (2016)
Bas van Stein, Matthijs van Leeuwen, Thomas Bäck
Local subspace-based outlier detection using global neighbourhoods. IEEE BigData (2016)
Sander van Rijn, Hao Wang, Matthijs van Leeuwen, Thomas Bäck
Evolving the Structure of Evolution Strategies. CoRR (2016)
Matthijs van Leeuwen, Antti Ukkonen
Expect the Unexpected - On the Significance of Subgroups. DS (2016)
Matthijs van Leeuwen, Esther Galbrun
Association discovery in two-view data. ICDE (2016)
Sander van Rijn, Hao Wang, Matthijs van Leeuwen, Thomas Bäck
Evolving the structure of Evolution Strategies. SSCI (2016)
Bas van Stein, Matthijs van Leeuwen, Thomas Bäck
Local Subspace-Based Outlier Detection using Global Neighbourhoods. CoRR (2016)
Matthijs van Leeuwen, Tijl De Bie, Eirini Spyropoulou, Cédric Mesnage
Subjective interestingness of subgraph patterns. Mach. Learn. 105 (1) (2016)
Vladimir Dzyuba, Matthijs van Leeuwen, Luc De Raedt
Flexible constrained sampling with guarantees for pattern mining. CoRR (2016)
Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt
Rank Matrix Factorisation. PAKDD (1) (2015)
Emin Aksehirli, Siegfried Nijssen, Matthijs van Leeuwen, Bart Goethals
Finding Subspace Clusters Using Ranked Neighborhoods. ICDM Workshops (2015)
Matthijs van Leeuwen, Lara Cardinaels
VIPER - Visual Pattern Explorer. ECML/PKDD (3) (2015)
Matthijs van Leeuwen, Esther Galbrun
Association Discovery in Two-View Data. IEEE Trans. Knowl. Data Eng. 27 (12) (2015)
Sergey Paramonov, Matthijs van Leeuwen, Marc Denecker, Luc De Raedt
An Exercise in Declarative Modeling for Relational Query Mining. ILP (2015)
Matthijs van Leeuwen, Antti Ukkonen
Same bang, fewer bucks: efficient discovery of the cost-influence skyline. SDM (2015)
Matthijs van Leeuwen, Antti Ukkonen
Fast Estimation of the Pattern Frequency Spectrum. ECML/PKDD (2) (2014)
Simon Pool, Francesco Bonchi, Matthijs van Leeuwen
Description-Driven Community Detection. ACM Trans. Intell. Syst. Technol. 5 (2) (2014)
Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Ana Carolina Fierro, Kathleen Marchal, Luc De Raedt
Ranked Tiling. ECML/PKDD (2) (2014)
Matthijs van Leeuwen, Antti Ukkonen
Estimating the pattern frequency spectrum inside the browser. CoRR (2014)
Vladimir Dzyuba, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt
Interactive Learning of Pattern Rankings. Int. J. Artif. Intell. Tools 23 (6) (2014)
Vladimir Dzyuba, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt
Active Preference Learning for Ranking Patterns. ICTAI (2013)
Vladimir Dzyuba, Matthijs van Leeuwen
Interactive Discovery of Interesting Subgroup Sets. IDA (2013)
Matthijs van Leeuwen, Antti Ukkonen
Discovering Skylines of Subgroup Sets. ECML/PKDD (3) (2013)
Matthijs van Leeuwen, Arno J. Knobbe
Diverse subgroup set discovery. Data Min. Knowl. Discov. 25 (2) (2012)
Matthijs van Leeuwen, Diyah Puspitaningrum
Improving Tag Recommendation Using Few Associations. IDA (2012)
Thanh Le Van, Ana Carolina Fierro, Tias Guns, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt, Kathleen Marchal
Mining Local Staircase Patterns in Noisy Data. ICDM Workshops (2012)
Matthijs van Leeuwen, Arno J. Knobbe
Non-redundant Subgroup Discovery in Large and Complex Data. ECML/PKDD (3) (2011)
Francesco Bonchi, Matthijs van Leeuwen, Antti Ukkonen
Characterizing Uncertain Data using Compression. SDM (2011)
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
Krimp: mining itemsets that compress. Data Min. Knowl. Discov. 23 (1) (2011)
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, Matthijs van Leeuwen
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach. ICDM (2010)
Matthijs van Leeuwen
Maximal exceptions with minimal descriptions. Data Min. Knowl. Discov. 21 (2) (2010)
Matthijs van Leeuwen, Francesco Bonchi, Börkur Sigurbjörnsson, Arno Siebes
Compressing tags to find interesting media groups. CIKM (2009)
Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
Identifying the components. Data Min. Knowl. Discov. 19 (2) (2009)
Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
Identifying the Components. ECML/PKDD (1) (2009)
Matthijs van Leeuwen, Arno Siebes
StreamKrimp: Detecting Change in Data Streams. ECML/PKDD (1) (2008)
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
Characterising the difference. KDD (2007)
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
Preserving Privacy through Data Generation. ICDM (2007)
Arno Siebes, Jilles Vreeken, Matthijs van Leeuwen
Item Sets that Compress. SDM (2006)
Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
Compression Picks Item Sets That Matter. PKDD (2006)
Jean-Christophe Zufferey, Dario Floreano, Matthijs van Leeuwen, Tancredi Merenda
Evolving Vision-Based Flying Robots. Biologically Motivated Computer Vision (2002)

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Publication Activity (10 Years)

Top Topics

Top Venues

Matthijs van Leeuwen