Matthijs van Leeuwen

106 papers A* 7A 5B 12Journal 53Unranked 24
YearRankTypeTitle / Venue / Authors
2026 — ed.
Challenges and Algorithms for Knowledge Discovery from Data - Essays Dedicated to Arno Siebes on the Occasion of His 67th Birthday
Challenges and Algorithms for Knowledge Discovery from Data
Matthijs van Leeuwen, Jilles Vreeken
2026 J jnl
Interpretable machine learning for identifying ICU readmission risk in subgroups with probabilistic rules.
J. Am. Medical Informatics Assoc.
Lincen Yang, Siri Lise van der Meijden, M. Sesmu Arbous, Matthijs van Leeuwen
2026 A* conf
Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics.
AAAI
Lincen Yang, Zhong Li, Matthijs van Leeuwen, Saber Salehkaleybar
2026 A* conf
Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection (Abstract Reprint).
AAAI
Zhong Li, Yuhang Wang, Matthijs van Leeuwen
2025 J jnl
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions.
CoRR
Zhong Li, Qi Huang, Lincen Yang, Jiayang Shi, Zhao Yang, Niki van Stein, Thomas Bäck, Matthijs van Leeuwen
2025 J jnl
Discovering multiple antibiotic resistance phenotypes using diverse top-k subgroup list discovery.
Artif. Intell. Medicine
Antonio Lopez-Martinez-Carrasco, Hugo Manuel Proença, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos
2025 J jnl
Learning Subgroups with Maximum Treatment Effects without Causal Heuristics.
CoRR
Lincen Yang, Zhong Li, Matthijs van Leeuwen, Saber Salehkaleybar
2025 J jnl
Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching.
CoRR
Zhong Li, Qi Huang, Yuxuan Zhu, Lincen Yang, Mohammad Mohammadi Amiri, Niki van Stein, Matthijs van Leeuwen
2025 — conf
Snor: Simpler Descriptions Through Overlapping Patterns.
Challenges and Algorithms for Knowledge Discovery from Data
Matthijs van Leeuwen, Jilles Vreeken
2025 J jnl
Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection.
CoRR
Zhong Li, Yuhang Wang, Matthijs van Leeuwen
2025 J jnl
Towards automated self-supervised learning for truly unsupervised graph anomaly detection.
Data Min. Knowl. Discov.
Zhong Li, Yuhang Wang, Matthijs van Leeuwen
2024 J jnl
A Survey on Explainable Anomaly Detection.
ACM Trans. Knowl. Discov. Data
Zhong Li, Yuxuan Zhu, Matthijs van Leeuwen
2024 A* conf
Conditional Density Estimation with Histogram Trees.
NeurIPS
Lincen Yang, Matthijs van Leeuwen
2024 J jnl
Conditional Density Estimation with Histogram Trees.
CoRR
Lincen Yang, Matthijs van Leeuwen
2024 J jnl
Cross-Domain Graph Level Anomaly Detection.
IEEE Trans. Knowl. Data Eng.
Zhong Li, Sheng Liang, Jiayang Shi, Matthijs van Leeuwen
2024 J jnl
Directional anomaly detection.
CoRR
Oliver Urs Lenz, Matthijs van Leeuwen
2024 J jnl
Explainable Graph Neural Networks Under Fire.
CoRR
Zhong Li, Simon Geisler, Yuhang Wang, Stephan Günnemann, Matthijs van Leeuwen
2024 — conf
Graph Neural Networks based Log Anomaly Detection and Explanation.
ICSE Companion
Zhong Li, Jiayang Shi, Matthijs van Leeuwen
2024 J jnl
Probabilistic Truly Unordered Rule Sets.
CoRR
Lincen Yang, Matthijs van Leeuwen
2023 B conf
Discovering Diverse Top-K Characteristic Lists.
IDA
Antonio Lopez-Martinez-Carrasco, Hugo Manuel Proença, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos
2023 B conf
Discovering Rule Lists with Preferred Variables.
IDA
Ioanna Papagianni, Matthijs van Leeuwen
2023 J jnl
Evaluating Cluster-Based Synthetic Data Generation for Blood-Transfusion Analysis.
J. Cybersecur. Priv.
Shannon K. S. Kroes, Matthijs van Leeuwen, Rolf H. H. Groenwold, Mart P. Janssen
2023 J jnl
Explainable contextual anomaly detection using quantile regression forests.
Data Min. Knowl. Discov.
Zhong Li, Matthijs van Leeuwen
2023 J jnl
Graph Neural Network based Log Anomaly Detection and Explanation.
CoRR
Zhong Li, Jiayang Shi, Matthijs van Leeuwen
2023 B conf
Novel Approach for Phenotyping Based on Diverse Top-K Subgroup Lists.
AIME
Antonio Lopez-Martinez-Carrasco, Hugo Manuel Proença, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos
2023 J jnl
Robust and Explainable Contextual Anomaly Detection using Quantile Regression Forests.
CoRR
Zhong Li, Matthijs van Leeuwen
2023 J jnl
Unsupervised discretization by two-dimensional MDL-based histogram.
Mach. Learn.
Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen
2023 J jnl
WEARDA: recording wearable sensor data for human activity monitoring.
CoRR
Richard M. K. van Dijk, Daniela Gawehns, Matthijs van Leeuwen
2022 J jnl
A Survey on Explainable Anomaly Detection.
CoRR
Zhong Li, Yuxuan Zhu, Matthijs van Leeuwen
2022 J jnl
Feature Selection for Fault Detection and Prediction based on Event Log Analysis.
CoRR
Zhong Li, Matthijs van Leeuwen
2022 J jnl
Feature Selection for Fault Detection and Prediction based on Event Log Analysis.
SIGKDD Explor.
Zhong Li, Matthijs van Leeuwen
2022 J jnl
Generating synthetic mixed discrete-continuous health records with mixed sum-product networks.
J. Am. Medical Informatics Assoc.
Shannon K. S. Kroes, Matthijs van Leeuwen, Rolf H. H. Groenwold, Mart P. Janssen
2022 — conf
Histogram-based Probabilistic Rule Lists for Numeric Targets (short paper).
KDID
Lincen Yang, Tim Opdam, Matthijs van Leeuwen
2022 J jnl
Robust subgroup discovery.
Data Min. Knowl. Discov.
Hugo Manuel Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen
2022 — conf
Truly Unordered Probabilistic Rule Sets for Multi-class Classification.
ECML/PKDD (5)
Lincen Yang, Matthijs van Leeuwen
2022 J jnl
Truly Unordered Probabilistic Rule Sets for Multi-class Classification.
CoRR
Lincen Yang, Matthijs van Leeuwen
2021 A conf
Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms.
SDM
Alexander Marx, Lincen Yang, Matthijs van Leeuwen
2021 J jnl
Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms.
CoRR
Alexander Marx, Lincen Yang, Matthijs van Leeuwen
2021 J jnl
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling.
CoRR
Sander van Rijn, Sebastian Schmitt, Matthijs van Leeuwen, Thomas Bäck
2021 J jnl
Online summarization of dynamic graphs using subjective interestingness for sequential data.
Data Min. Knowl. Discov.
Sarang Kapoor, Dhish Kumar Saxena, Matthijs van Leeuwen
2021 J jnl
Robust subgroup discovery.
CoRR
Hugo Manuel Proença, Thomas Bäck, Matthijs van Leeuwen
2020 — conf
Discovering Outstanding Subgroup Lists for Numeric Targets Using MDL.
ECML/PKDD (1)
Hugo Manuel Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen
2020 J jnl
Discovering outstanding subgroup lists for numeric targets using MDL.
CoRR
Hugo Manuel Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen
2020 J jnl
Discovering subjectively interesting multigraph patterns.
Mach. Learn.
Sarang Kapoor, Dhish Kumar Saxena, Matthijs van Leeuwen
2020 J jnl
Interpretable multiclass classification by MDL-based rule lists.
Inf. Sci.
Hugo Manuel Proença, Matthijs van Leeuwen
2020 J jnl
Unsupervised Discretization by Two-dimensional MDL-based Histogram.
CoRR
Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen
2020 B conf
Vouw: Geometric Pattern Mining Using the MDL Principle.
IDA
Micky Faas, Matthijs van Leeuwen
2020 B conf
Widening for MDL-Based Retail Signature Discovery.
IDA
Clément Gautrais, Peggy Cellier, Matthijs van Leeuwen, Alexandre Termier
2019 J jnl
Addendum to the Special Issue on Interactive Data Exploration and Analytics (TKDD, Vol. 12 Iss. 1).
ACM Trans. Knowl. Discov. Data
Matthijs van Leeuwen, Polo Chau, Jilles Vreeken, Dafna Shahaf, Christos Faloutsos
2019 — conf
Challenges and Limitations in Clustering Blood Donor Hemoglobin Trajectories.
AALTD@PKDD/ECML
Marieke Vinkenoog, Mart P. Janssen, Matthijs van Leeuwen
2019 J jnl
Interpretable multiclass classification by MDL-based rule lists.
CoRR
Hugo Manuel Proença, Matthijs van Leeuwen
2019 J jnl
Vouw: Geometric Pattern Mining using the MDL Principle.
CoRR
Micky Faas, Matthijs van Leeuwen
2018 — conf
Identifying flight delay patterns using diverse subgroup discovery.
SSCI
Hugo Manuel Proença, Ruben Klijn, Thomas Bäck, Matthijs van Leeuwen
2018 — conf
Multi-fidelity surrogate model approach to optimization.
GECCO (Companion)
Sander van Rijn, Sebastian Schmitt, Markus Olhofer, Matthijs van Leeuwen, Thomas Bäck
2017 — conf
Explaining Deviating Subsets Through Explanation Networks.
ECML/PKDD (2)
Antti Ukkonen, Vladimir Dzyuba, Matthijs van Leeuwen
2017 J jnl
Flexible constrained sampling with guarantees for pattern mining.
Data Min. Knowl. Discov.
Vladimir Dzyuba, Matthijs van Leeuwen, Luc De Raedt
2017 — conf
Learning What Matters - Sampling Interesting Patterns.
PAKDD (1)
Vladimir Dzyuba, Matthijs van Leeuwen
2017 J jnl
Learning what matters - Sampling interesting patterns.
CoRR
Vladimir Dzyuba, Matthijs van Leeuwen
2017 J jnl
Relational data factorization.
Mach. Learn.
Sergey Paramonov, Matthijs van Leeuwen, Luc De Raedt
2017 J jnl
Semiring Rank Matrix Factorization.
IEEE Trans. Knowl. Data Eng.
Thanh Le Van, Siegfried Nijssen, Matthijs van Leeuwen, Luc De Raedt
2016 A* conf
Association discovery in two-view data.
ICDE
Matthijs van Leeuwen, Esther Galbrun
2016 J jnl
Evolving the Structure of Evolution Strategies.
CoRR
Sander van Rijn, Hao Wang, Matthijs van Leeuwen, Thomas Bäck
2016 — conf
Evolving the structure of Evolution Strategies.
SSCI
Sander van Rijn, Hao Wang, Matthijs van Leeuwen, Thomas Bäck
2016 B conf
Expect the Unexpected - On the Significance of Subgroups.
DS
Matthijs van Leeuwen, Antti Ukkonen
2016 J jnl
Flexible constrained sampling with guarantees for pattern mining.
CoRR
Vladimir Dzyuba, Matthijs van Leeuwen, Luc De Raedt
2016 J jnl
Local Subspace-Based Outlier Detection using Global Neighbourhoods.
CoRR
Bas van Stein, Matthijs van Leeuwen, Thomas Bäck
2016 — conf
Local subspace-based outlier detection using global neighbourhoods.
IEEE BigData
Bas van Stein, Matthijs van Leeuwen, Thomas Bäck
2016 J jnl
Simultaneous discovery of cancer subtypes and subtype features by molecular data integration.
Bioinform.
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
2016 J jnl
Subjective interestingness of subgraph patterns.
Mach. Learn.
Matthijs van Leeuwen, Tijl De Bie, Eirini Spyropoulou, Cédric Mesnage
2015 B ed.
Advances in Intelligent Data Analysis XIV - 14th International Symposium, IDA 2015, Saint Etienne, France, October 22-24, 2015, Proceedings
IDA
Élisa Fromont, Tijl De Bie, Matthijs van Leeuwen
2015 B conf
An Exercise in Declarative Modeling for Relational Query Mining.
ILP
Sergey Paramonov, Matthijs van Leeuwen, Marc Denecker, Luc De Raedt
2015 J jnl
Association Discovery in Two-View Data.
IEEE Trans. Knowl. Data Eng.
Matthijs van Leeuwen, Esther Galbrun
2015 — conf
Finding Subspace Clusters Using Ranked Neighborhoods.
ICDM Workshops
Emin Aksehirli, Siegfried Nijssen, Matthijs van Leeuwen, Bart Goethals
2015 — conf
Rank Matrix Factorisation.
PAKDD (1)
Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt
2015 A conf
Same bang, fewer bucks: efficient discovery of the cost-influence skyline.
SDM
Matthijs van Leeuwen, Antti Ukkonen
2015 — conf
VIPER - Visual Pattern Explorer.
ECML/PKDD (3)
Matthijs van Leeuwen, Lara Cardinaels
2014 B ed.
Advances in Intelligent Data Analysis XIII - 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 - November 1, 2014. Proceedings
IDA
Hendrik Blockeel, Matthijs van Leeuwen, Veronica Vinciotti
2014 J jnl
Description-Driven Community Detection.
ACM Trans. Intell. Syst. Technol.
Simon Pool, Francesco Bonchi, Matthijs van Leeuwen
2014 J jnl
Estimating the pattern frequency spectrum inside the browser.
CoRR
Matthijs van Leeuwen, Antti Ukkonen
2014 — conf
Fast Estimation of the Pattern Frequency Spectrum.
ECML/PKDD (2)
Matthijs van Leeuwen, Antti Ukkonen
2014 — ch.
Interactive Data Exploration Using Pattern Mining.
Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
Matthijs van Leeuwen
2014 J jnl
Interactive Learning of Pattern Rankings.
Int. J. Artif. Intell. Tools
Vladimir Dzyuba, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt
2014 — ch.
Mining and Using Sets of Patterns through Compression.
Frequent Pattern Mining
Matthijs van Leeuwen, Jilles Vreeken
2014 — conf
Ranked Tiling.
ECML/PKDD (2)
Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Ana Carolina Fierro, Kathleen Marchal, Luc De Raedt
2013 B conf
Active Preference Learning for Ranking Patterns.
ICTAI
Vladimir Dzyuba, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt
2013 — conf
Discovering Skylines of Subgroup Sets.
ECML/PKDD (3)
Matthijs van Leeuwen, Antti Ukkonen
2013 B conf
Interactive Discovery of Interesting Subgroup Sets.
IDA
Vladimir Dzyuba, Matthijs van Leeuwen
2013 — ed.
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, IDEA@KDD 2013, Chicago, Illinois, USA, August 11, 2013
IDEA@KDD
Duen Horng Chau, Jilles Vreeken, Matthijs van Leeuwen, Christos Faloutsos
2012 J jnl
Diverse subgroup set discovery.
Data Min. Knowl. Discov.
Matthijs van Leeuwen, Arno J. Knobbe
2012 B conf
Improving Tag Recommendation Using Few Associations.
IDA
Matthijs van Leeuwen, Diyah Puspitaningrum
2012 — conf
Mining Local Staircase Patterns in Noisy Data.
ICDM Workshops
Thanh Le Van, Ana Carolina Fierro, Tias Guns, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt, Kathleen Marchal
2011 A conf
Characterizing Uncertain Data using Compression.
SDM
Francesco Bonchi, Matthijs van Leeuwen, Antti Ukkonen
2011 J jnl
Krimp: mining itemsets that compress.
Data Min. Knowl. Discov.
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
2011 — conf
Non-redundant Subgroup Discovery in Large and Complex Data.
ECML/PKDD (3)
Matthijs van Leeuwen, Arno J. Knobbe
2010 J jnl
Maximal exceptions with minimal descriptions.
Data Min. Knowl. Discov.
Matthijs van Leeuwen
2010 — —
Patterns that matter.
Matthijs van Leeuwen
2010 A* conf
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach.
ICDM
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, Matthijs van Leeuwen
2009 A conf
Compressing tags to find interesting media groups.
CIKM
Matthijs van Leeuwen, Francesco Bonchi, Börkur Sigurbjörnsson, Arno Siebes
2009 — conf
Identifying the Components.
ECML/PKDD (1)
Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
2009 J jnl
Identifying the components.
Data Min. Knowl. Discov.
Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
2008 — conf
StreamKrimp: Detecting Change in Data Streams.
ECML/PKDD (1)
Matthijs van Leeuwen, Arno Siebes
2007 A* conf
Characterising the difference.
KDD
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
2007 A* conf
Preserving Privacy through Data Generation.
ICDM
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
2006 — conf
Compression Picks Item Sets That Matter.
PKDD
Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
2006 A conf
Item Sets that Compress.
SDM
Arno Siebes, Jilles Vreeken, Matthijs van Leeuwen
2002 — conf
Evolving Vision-Based Flying Robots.
Biologically Motivated Computer Vision
Jean-Christophe Zufferey, Dario Floreano, Matthijs van Leeuwen, Tancredi Merenda