| 2025 | CIKM | What Data is Really Necessary? A Feasibility Study of Inference Data Minimization for Recommender Systems. | Jens Leysen, Marco Favier, Bart Goethals |
| 2025 | RecSys | APS Explorer: Navigating Algorithm Performance Spaces for Informed Dataset Selection. | Tobias Vente, Michael Heep, Abdullah Abbas, Theodor Sperle, Joeran Beel, Bart Goethals |
| 2024 | RecSys | The Role of Unknown Interactions in Implicit Matrix Factorization - A Probabilistic View. | Joey De Pauw, Bart Goethals |
| 2023 | ECIR | The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance. | Robin Verachtert, Jeroen Craps, Lien Michiels, Bart Goethals |
| 2023 | RecSys | How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News. | Lien Michiels, Jorre T. A. Vannieuwenhuyze, Jens Leysen, Robin Verachtert, Annelien Smets, Bart Goethals |
| 2023 | WISE | Leveraging Sequential Episode Mining for Session-Based News Recommendation. | Mozhgan Karimi, Boris Cule, Bart Goethals |
| 2022 | RecSys | A Neighbourhood-based Location- and Time-aware Recommender System. | Len Feremans, Robin Verachtert, Bart Goethals |
| 2022 | RecSys | Abstract: Should Algorithm Evaluation Extend to Testing? We Think So. | Lien Michiels, Robin Verachtert, Kim Falk, Bart Goethals |
| 2022 | RecSys | RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data. | Lien Michiels, Robin Verachtert, Bart Goethals |
| 2022 | RecSys | Who do you think I am? Interactive User Modelling with Item Metadata. | Joey De Pauw, Koen Ruymbeek, Bart Goethals |
| 2022 | RecSys | Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training Window. | Robin Verachtert, Lien Michiels, Bart Goethals |
| 2021 | RecSys | Pessimistic Reward Models for Off-Policy Learning in Recommendation. | Olivier Jeunen, Bart Goethals |
| 2021 | RecSys | Top-K Contextual Bandits with Equity of Exposure. | Olivier Jeunen, Bart Goethals |
| 2021 | WWW | High-dimensional Sparse Embeddings for Collaborative Filtering. | Jan Van Balen, Bart Goethals |
| 2020 | RecSys | Closed-Form Models for Collaborative Filtering with Side-Information. | Olivier Jeunen, Jan Van Balen, Bart Goethals |
| 2019 | DIS | A Sampling-Based Approach for Discovering Subspace Clusters. | Sandy Moens, Boris Cule, Bart Goethals |
| 2019 | RecSys | Efficient similarity computation for collaborative filtering in dynamic environments. | Olivier Jeunen, Koen Verstrepen, Bart Goethals |
| 2019 | RecSys | On-the-Fly News Recommendation Using Sequential Patterns. | Mozhgan Karimi, Boris Cule, Bart Goethals |
| 2019 | RecSys | Interactive evaluation of recommender systems with SNIPER: an episode mining approach. | Sandy Moens, Olivier Jeunen, Bart Goethals |
| 2019 | SDM | Lessons Learned from the FIMI Workshops. | Bart Goethals |
| 2018 | SDM | Mining Top- | Len Feremans, Boris Cule, Bart Goethals |
| 2017 | DSAA | Combining Instance and Feature Neighbors for Efficient Multi-label Classification. | Len Feremans, Boris Cule, Celine Vens, Bart Goethals |
| 2017 | ICDE | Cleaning Data with Forbidden Itemsets. | Joeri Rammelaere, Floris Geerts, Bart Goethals |
| 2015 | DaWaK | Efficient Cluster Detection by Ordered Neighborhoods. | Emin Aksehirli, Bart Goethals, Emmanuel Mller |
| 2015 | DSAA | Cohesion based co-location pattern mining. | Cheng Zhou, Boris Cule, Bart Goethals |
| 2015 | ICDM | Finding Subspace Clusters Using Ranked Neighborhoods. | Emin Aksehirli, Siegfried Nijssen, Matthijs van Leeuwen, Bart Goethals |
| 2015 | ICWSM | Determining the Presence of Political Parties in Social Circles. | Christophe Van Gysel, Bart Goethals, Maarten de Rijke |
| 2015 | PAKDD | Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets. | Tayena Hendrickx, Boris Cule, Pieter Meysman, Stefan Naulaerts, Kris Laukens, Bart Goethals |
| 2015 | RecSys | Top-N Recommendation for Shared Accounts. | Koen Verstrepen, Bart Goethals |
| 2014 | DIS | Mining Cohesive Itemsets in Graphs. | Tayena Hendrickx, Boris Cule, Bart Goethals |
| 2014 | DIS | Providing Concise Database Covers Instantly by Recursive Tile Sampling. | Sandy Moens, Mario Boley, Bart Goethals |
| 2014 | DSAA | Welcome from DSAA 2014 chairs. | Philip S. Yu, Masaru Kitsuregawa, Hiroshi Motoda, Bart Goethals, Minyi Guo, Longbing Cao, George Karypis, Irwin King, Wei Wang |
| 2014 | RecSys | Unifying nearest neighbors collaborative filtering. | Koen Verstrepen, Bart Goethals |
| 2013 | ICDM | Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data. | Emin Aksehirli, Bart Goethals, Emmanuel Mller, Jilles Vreeken |
| 2013 | KDD | Randomly sampling maximal itemsets. | Sandy Moens, Bart Goethals |
| 2013 | KDD | Mining spatially cohesive itemsets in protein molecular structures. | Cheng Zhou, Pieter Meysman, Boris Cule, Kris Laukens, Bart Goethals |
| 2013 | PAKDD | Mining Interesting Itemsets in Graph Datasets. | Boris Cule, Bart Goethals, Tayena Hendrickx |
| 2013 | PAKDD | ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences. | Antonio Gomariz, Manuel Campos, Roque Marn, Bart Goethals |
| 2012 | ICFCA | Cartification: From Similarities to Itemset Frequencies. | Bart Goethals |
| 2012 | SDM | MARBLES: Mining Association Rules Buried in Long Event Sequences. | Boris Cule, Nikolaj Tatti, Bart Goethals |
| 2011 | DIS | "Tell Me More": Finding Related Items from User Provided Feedback. | Jeroen De Knijf, Anthony M. L. Liekens, Bart Goethals |
| 2011 | ICDM | BioGraph: Knowledge Discovery and Exploration in the Biomedical Domain. | Jeroen De Knijf, Anthony M. L. Liekens, Walter Daelemans, Peter De Rijk, Jurgen Del-Favero, Bart Goethals |
| 2011 | IDA | Mining Train Delays. | Boris Cule, Bart Goethals, Sven Tassenoy, Sabine Verboven |
| 2011 | IDA | GaMuSo: Graph Base Music Recommendation in a Social Bookmarking Service. | Jeroen De Knijf, Anthony M. L. Liekens, Bart Goethals |
| 2011 | KDD | MIME: a framework for interactive visual pattern mining. | Bart Goethals, Sandy Moens, Jilles Vreeken |
| 2010 | DaWaK | Discovery and Application of Functional Dependencies in Conjunctive Query Mining. | Bart Goethals, Dominique Laurent, Wim Le Page |
| 2010 | ICDM | Approximation of Frequentness Probability of Itemsets in Uncertain Data. | Toon Calders, Calin Garboni, Bart Goethals |
| 2010 | MSR | Predicting the severity of a reported bug. | Ahmed Lamkanfi, Serge Demeyer, Emanuel Giger, Bart Goethals |
| 2010 | PAKDD | Efficient Pattern Mining of Uncertain Data with Sampling. | Toon Calders, Calin Garboni, Bart Goethals |
| 2010 | PAKDD | Mining Association Rules in Long Sequences. | Boris Cule, Bart Goethals |
| 2010 | SAC | Mining interesting sets and rules in relational databases. | Bart Goethals, Wim Le Page, Michael Mampaey |
| 2009 | SDM | A New Constraint for Mining Sets in Sequences. | Boris Cule, Bart Goethals, Cline Robardet |
| 2008 | ICDE | Mining Views: Database Views for Data Mining. | Hendrik Blockeel, Toon Calders, lisa Fromont, Bart Goethals, Adriana Prado |
| 2008 | ICDM | Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions. | Roberto Trasarti, Francesco Bonchi, Bart Goethals |
| 2008 | KDD | An inductive database prototype based on virtual mining views. | Hendrik Blockeel, Toon Calders, lisa Fromont, Bart Goethals, Adriana Prado, Cline Robardet |
| 2008 | SDM | Mining Association Rules of Simple Conjunctive Queries. | Bart Goethals, Wim Le Page, Heikki Mannila |
| 2007 | ICDM | Mining Frequent Itemsets in a Stream. | Toon Calders, Nele Dexters, Bart Goethals |
| 2007 | SAC | Mining itemsets in the presence of missing values. | Toon Calders, Bart Goethals, Michael Mampaey |
| 2006 | KDD | Mining rank-correlated sets of numerical attributes. | Toon Calders, Bart Goethals, Szymon Jaroszewicz |
| 2005 | KDD | Mining tree queries in a graph. | Bart Goethals, Eveline Hoekx, Jan Van den Bussche |
| 2005 | SDM | Depth-First Non-Derivable Itemset Mining. | Toon Calders, Bart Goethals |
| 2005 | SDM | Mining Non-Derivable Association Rules. | Bart Goethals, Juho Muhonen, Hannu Toivonen |
| 2004 | DIS | Tiling Databases. | Floris Geerts, Bart Goethals, Taneli Mielikinen |
| 2004 | ICISC | On Private Scalar Product Computation for Privacy-Preserving Data Mining. | Bart Goethals, Sven Laur, Helger Lipmaa, Taneli Mielikinen |
| 2004 | PAKDD | FP-Bonsai: The Art of Growing and Pruning Small FP-Trees. | Francesco Bonchi, Bart Goethals |
| 2004 | SAC | Memory issues in frequent itemset mining. | Bart Goethals |
| 2001 | ICDM | A Tight Upper Bound on the Number of Candidate Patterns. | Floris Geerts, Bart Goethals, Jan Van den Bussche |
| 2000 | DaWaK | On Supporting Interactive Association Rule Mining. | Bart Goethals, Jan Van den Bussche |
| 2000 | KDD | A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model. | Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets |