| 2026 | IDA | Exceptional Model Residual Mining, and Three Richer EMM Description Languages. | Aniket Mishra, Cristiana Carbunaru, Wouter Duivesteijn |
| 2025 | ICDM | Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles. | Xin Du, Subramanian Ramamoorthy, Wouter Duivesteijn, Jin Tian, Mykola Pechenizkiy |
| 2025 | IDA | Local Subgroup Discovery on Attributed Network Graphs. | Carl Vico Heinrich, Tommie Lombarts, Jules Mallens, Luc Tortike, David Wolf, Wouter Duivesteijn |
| 2025 | KDD | Characterizing the Risk of Atrial Fibrillation in Cardiac Patients with Exceptional Electrocardiogram Phenotypes. | Lieke van den Biggelaar, Rianne Margaretha Schouten, Ashley De Bie, R. Arthur Bouwman, Wouter Duivesteijn |
| 2024 | IDA | RMI-RRG: A Soft Protocol to Postulate Monotonicity Constraints for Tabular Datasets. | Iko Vloothuis, Wouter Duivesteijn |
| 2022 | DIS | A Clustering-Inspired Quality Measure for Exceptional Preferences Mining - Design Choices and Consequences. | Ruben Franciscus Adrianus Verhaegh, Jacco Johannes Egbert Kiezebrink, Frank Nusteling, Arnaud Wander Andr Rio, Mrton Bendegz Bendicsek, Wouter Duivesteijn, Rianne Margaretha Schouten |
| 2022 | IDA | Efficient Subgroup Discovery Through Auto-Encoding. | Joost F. van der Haar, Sander C. Nagelkerken, Igor G. Smit, Kjell van Straaten, Janneke A. Tack, Rianne Margaretha Schouten, Wouter Duivesteijn |
| 2022 | SDM | Exceptional Model Mining for Repeated Cross-Sectional Data (EMM-RCS). | Rianne Margaretha Schouten, Wouter Duivesteijn, Mykola Pechenizkiy |
| 2020 | AAAI | Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data. | Xin Du, Yulong Pei, Wouter Duivesteijn, Mykola Pechenizkiy |
| 2020 | IDA | Predicting Remaining Useful Life with Similarity-Based Priors. | Youri Soons, Remco M. Dijkman, Maurice Jilderda, Wouter Duivesteijn |
| 2019 | AAAI | The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering. | Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik |
| 2018 | EDM | ELBA: Exceptional Learning Behavior Analysis. | Xin Du, Wouter Duivesteijn, Mykola Pechenizkiy |
| 2018 | ICDE | Subjectively Interesting Subgroup Discovery on Real-Valued Targets. | Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamki, Emilia Oikarinen, Tijl De Bie |
| 2016 | DIS | Exceptional Preferences Mining. | Cludio Rebelo de S, Wouter Duivesteijn, Carlos Soares, Arno J. Knobbe |
| 2015 | ICDM | Exceptionally Monotone Models - The Rank Correlation Model Class for Exceptional Model Mining. | Lennart Downar, Wouter Duivesteijn |
| 2014 | ICDM | Understanding Where Your Classifier Does (Not) Work - The SCaPE Model Class for EMM. | Wouter Duivesteijn, Julia Thaele |
| 2014 | IDA | RealKrimp - Finding Hyperintervals that Compress with MDL for Real-Valued Data. | Jouke Witteveen, Wouter Duivesteijn, Arno J. Knobbe, Peter Grnwald |
| 2014 | SDM | ROCsearch - An ROC-guided Search Strategy for Subgroup Discovery. | Marvin Meeng, Wouter Duivesteijn, Arno J. Knobbe |
| 2013 | PAKDD | Discovering Local Subgroups, with an Application to Fraud Detection. | Rob M. Konijn, Wouter Duivesteijn, Wojtek Kowalczyk, Arno J. Knobbe |
| 2013 | PAKDD | Cost-Based Quality Measures in Subgroup Discovery. | Rob M. Konijn, Wouter Duivesteijn, Marvin Meeng, Arno J. Knobbe |
| 2012 | ICANN | Multilayer Perceptron for Label Ranking. | Geraldina Ribeiro, Wouter Duivesteijn, Carlos Soares, Arno J. Knobbe |
| 2012 | IDA | Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns. | Wouter Duivesteijn, Eneldo Loza Menca, Johannes Frnkranz, Arno J. Knobbe |
| 2012 | KDD | Different slopes for different folks: mining for exceptional regression models with cook's distance. | Wouter Duivesteijn, Ad Feelders, Arno J. Knobbe |
| 2011 | ICDM | Exploiting False Discoveries - Statistical Validation of Patterns and Quality Measures in Subgroup Discovery. | Wouter Duivesteijn, Arno J. Knobbe |
| 2010 | ICDM | Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach. | Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, Matthijs van Leeuwen |