| 2024 | AISTATS | Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles. | Fan Yang, Pierre Le Bodic, Michael Kamp, Mario Boley |
| 2024 | FUSION | Inference-based time-resolved chaos analysis of brain models: application to focal epilepsy. | Yun Zhao, David B. Grayden, Mario Boley, Yueyang Liu, Philippa J. Karoly, Mark J. Cook, Levin Kuhlmann |
| 2021 | SDM | Better Short than Greedy: Interpretable Models through Optimal Rule Boosting. | Mario Boley, Simon Teshuva, Pierre Le Bodic, Geoffrey I. Webb |
| 2021 | SDM | Discovering Reliable Causal Rules. | Kailash Budhathoki, Mario Boley, Jilles Vreeken |
| 2020 | KDD | Discovering Functional Dependencies from Mixed-Type Data. | Panagiotis Mandros, David Kaltenpoth, Mario Boley, Jilles Vreeken |
| 2019 | ICDM | Discovering Robustly Connected Subgraphs with Simple Descriptions. | Janis Kalofolias, Mario Boley, Jilles Vreeken |
| 2019 | ICDM | Discovering Reliable Correlations in Categorical Data. | Panagiotis Mandros, Mario Boley, Jilles Vreeken |
| 2019 | IJCAI | Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. | Panagiotis Mandros, Mario Boley, Jilles Vreeken |
| 2018 | ICDM | Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. | Panagiotis Mandros, Mario Boley, Jilles Vreeken |
| 2017 | ICDM | Efficiently Discovering Locally Exceptional Yet Globally Representative Subgroups. | Janis Kalofolias, Mario Boley, Jilles Vreeken |
| 2017 | KDD | Discovering Reliable Approximate Functional Dependencies. | Panagiotis Mandros, Mario Boley, Jilles Vreeken |
| 2014 | DIS | Providing Concise Database Covers Instantly by Recursive Tile Sampling. | Sandy Moens, Mario Boley, Bart Goethals |
| 2014 | IDA | Instant Exceptional Model Mining Using Weighted Controlled Pattern Sampling. | Sandy Moens, Mario Boley |
| 2014 | SDM | Beating Human Analysts in Nowcasting Corporate Earnings by using Publicly Available Stock Price and Correlation Features. | Michael Kamp, Mario Boley, Thomas Grtner |
| 2013 | DIS | Mining Interesting Patterns in Multi-relational Data with N-ary Relationships. | Eirini Spyropoulou, Tijl De Bie, Mario Boley |
| 2013 | ICDM | Beating Human Analysts in Nowcasting Corporate Earnings by Using Publicly Available Stock Price and Correlation Features. | Michael Kamp, Mario Boley, Thomas Grtner |
| 2013 | KDD | One click mining: interactive local pattern discovery through implicit preference and performance learning. | Mario Boley, Michael Mampaey, Bo Kang, Pavel Tokmakov, Stefan Wrobel |
| 2013 | VLDB | Communication-Efficient Distributed Online Prediction using Dynamic Model Synchronizations. | Mario Boley, Michael Kamp, Daniel Keren, Assaf Schuster, Izchak Sharfman |
| 2012 | KDD | Linear space direct pattern sampling using coupling from the past. | Mario Boley, Sandy Moens, Thomas Grtner |
| 2011 | KDD | Direct local pattern sampling by efficient two-step random procedures. | Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Grtner |
| 2010 | DIS | Subgroup Discovery for Election Analysis: A Case Study in Descriptive Data Mining. | Henrik Grosskreutz, Mario Boley, Maike Krause-Traudes |
| 2010 | SDM | Formal Concept Sampling for Counting and Threshold-Free Local Pattern Mining. | Mario Boley, Thomas Grtner, Henrik Grosskreutz |
| 2009 | DIS | On the Complexity of Constraint-Based Theory Extraction. | Mario Boley, Thomas Grtner |
| 2009 | UAI | Probabilistic Structured Predictors. | Shankar Vembu, Thomas Grtner, Mario Boley |
| 2009 | SDM | Efficient Discovery of Interesting Patterns Based on Strong Closedness. | Mario Boley, Tams Horvth, Stefan Wrobel |
| 2008 | ICDM | A Randomized Approach for Approximating the Number of Frequent Sets. | Mario Boley, Henrik Grosskreutz |
| 2007 | DIS | On Approximating Minimum Infrequent and Maximum Frequent Sets. | Mario Boley |