Matthijs van Leeuwen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
14
Active years
2006–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection (Abstract Reprint). | Zhong Li, Yuhang Wang, Matthijs van Leeuwen |
| 2026 | AAAI | Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics. | Lincen Yang, Zhong Li, Matthijs van Leeuwen, Saber Salehkaleybar |
| 2024 | ICSE | Graph Neural Networks based Log Anomaly Detection and Explanation. | Zhong Li, Jiayang Shi, Matthijs van Leeuwen |
| 2023 | AIME | Novel Approach for Phenotyping Based on Diverse Top-K Subgroup Lists. | Antonio Lopez-Martinez-Carrasco, Hugo Manuel Proena, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos |
| 2023 | IDA | Discovering Diverse Top-K Characteristic Lists. | Antonio Lopez-Martinez-Carrasco, Hugo Manuel Proena, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos |
| 2023 | IDA | Discovering Rule Lists with Preferred Variables. | Ioanna Papagianni, Matthijs van Leeuwen |
| 2021 | SDM | Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms. | Alexander Marx, Lincen Yang, Matthijs van Leeuwen |
| 2020 | IDA | Vouw: Geometric Pattern Mining Using the MDL Principle. | Micky Faas, Matthijs van Leeuwen |
| 2020 | IDA | Widening for MDL-Based Retail Signature Discovery. | Clment Gautrais, Peggy Cellier, Matthijs van Leeuwen, Alexandre Termier |
| 2018 | GECCO | Multi-fidelity surrogate model approach to optimization. | Sander van Rijn, Sebastian Schmitt, Markus Olhofer, Matthijs van Leeuwen, Thomas Bck |
| 2017 | PAKDD | Learning What Matters - Sampling Interesting Patterns. | Vladimir Dzyuba, Matthijs van Leeuwen |
| 2016 | DIS | Expect the Unexpected - On the Significance of Subgroups. | Matthijs van Leeuwen, Antti Ukkonen |
| 2016 | ICDE | Association discovery in two-view data. | Matthijs van Leeuwen, Esther Galbrun |
| 2015 | ICDM | Finding Subspace Clusters Using Ranked Neighborhoods. | Emin Aksehirli, Siegfried Nijssen, Matthijs van Leeuwen, Bart Goethals |
| 2015 | ILP | An Exercise in Declarative Modeling for Relational Query Mining. | Sergey Paramonov, Matthijs van Leeuwen, Marc Denecker, Luc De Raedt |
| 2015 | PAKDD | Rank Matrix Factorisation. | Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt |
| 2015 | SDM | Same bang, fewer bucks: efficient discovery of the cost-influence skyline. | Matthijs van Leeuwen, Antti Ukkonen |
| 2013 | ICTAI | Active Preference Learning for Ranking Patterns. | Vladimir Dzyuba, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt |
| 2013 | IDA | Interactive Discovery of Interesting Subgroup Sets. | Vladimir Dzyuba, Matthijs van Leeuwen |
| 2012 | ICDM | Mining Local Staircase Patterns in Noisy Data. | Thanh Le Van, Ana Carolina Fierro, Tias Guns, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt, Kathleen Marchal |
| 2012 | IDA | Improving Tag Recommendation Using Few Associations. | Matthijs van Leeuwen, Diyah Puspitaningrum |
| 2011 | SDM | Characterizing Uncertain Data using Compression. | Francesco Bonchi, Matthijs van Leeuwen, Antti Ukkonen |
| 2010 | ICDM | Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach. | Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, Matthijs van Leeuwen |
| 2009 | CIKM | Compressing tags to find interesting media groups. | Matthijs van Leeuwen, Francesco Bonchi, Brkur Sigurbjrnsson, Arno Siebes |
| 2007 | ICDM | Preserving Privacy through Data Generation. | Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes |
| 2007 | KDD | Characterising the difference. | Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes |
| 2006 | SDM | Item Sets that Compress. | Arno Siebes, Jilles Vreeken, Matthijs van Leeuwen |