| 2023 | EACL | How Far Can It Go? On Intrinsic Gender Bias Mitigation for Text Classification. | Ewoenam Kwaku Tokpo, Pieter Delobelle, Bettina Berendt, Toon Calders |
| 2023 | SAC | Real-life Performance of Fairness Interventions - Introducing A New Benchmarking Dataset for Fair ML. | Daphne Lenders, Toon Calders |
| 2022 | NAACL | Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models. | Pieter Delobelle, Ewoenam Kwaku Tokpo, Toon Calders, Bettina Berendt |
| 2022 | NAACL | Text Style Transfer for Bias Mitigation using Masked Language Modeling. | Ewoenam Kwaku Tokpo, Toon Calders |
| 2021 | APWEB | Finding Geo-Social Cohorts in Location-Based Social Networks. | Muhammad Aamir Saleem, Toon Calders, Torben Bach Pedersen, Panagiotis Karras |
| 2021 | BPM | Incremental Predictive Process Monitoring: The Next Activity Case. | Stephen Pauwels, Toon Calders |
| 2021 | SDM | Efficient Permutation Testing for Significant Sequential Patterns. | Sam Pinxteren, Toon Calders |
| 2020 | BPM | Bayesian Network Based Predictions of Business Processes. | Stephen Pauwels, Toon Calders |
| 2019 | BPM | ACD2: A Tool to Interactively Explore Business Process Logs. | Stephen Pauwels, Toon Calders |
| 2019 | DIS | Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks. | Angelo Impedovo, Michelangelo Ceci, Toon Calders |
| 2019 | MEDI | Keeping the Data Lake in Form: DS-kNN Datasets Categorization Using Proximity Mining. | Ayman Alserafi, Alberto Abell, Oscar Romero, Toon Calders |
| 2019 | SAC | An anomaly detection technique for business processes based on extended dynamic bayesian networks. | Stephen Pauwels, Toon Calders |
| 2018 | MDM | Predicting Visitors Using Location-Based Social Networks. | Muhammad Aamir Saleem, Felipe Soares Da Costa, Peter Dolog, Panagiotis Karras, Torben Bach Pedersen, Toon Calders |
| 2017 | ADBIS | Cost Model for Pregel on GraphX. | Rohit Kumar, Alberto Abell, Toon Calders |
| 2017 | CIKM | IMaxer: A Unified System for Evaluating Influence Maximization in Location-based Social Networks. | Muhammad Aamir Saleem, Rohit Kumar, Toon Calders, Xike Xie, Torben Bach Pedersen |
| 2017 | EDBT | Information Propagation in Interaction Networks. | Rohit Kumar, Toon Calders |
| 2017 | WSDM | Location Influence in Location-based Social Networks. | Muhammad Aamir Saleem, Rohit Kumar, Toon Calders, Xike Xie, Torben Bach Pedersen |
| 2017 | SISAP | DS-Prox: Dataset Proximity Mining for Governing the Data Lake. | Ayman Alserafi, Toon Calders, Alberto Abell, Oscar Romero |
| 2016 | ADBIS | H-WorD: Supporting Job Scheduling in Hadoop with Workload-Driven Data Redistribution. | Petar Jovanovic, Oscar Romero, Toon Calders, Alberto Abell |
| 2016 | ICDM | Towards Information Profiling: Data Lake Content Metadata Management. | Ayman Alserafi, Alberto Abell, Oscar Romero, Toon Calders |
| 2016 | MDM | Online Risk Prediction for Indoor Moving Objects. | Tanvir Ahmed, Torben Bach Pedersen, Toon Calders, Hua Lu |
| 2016 | MDM | Distributed Convoy Pattern Mining. | Faisal Orakzai, Toon Calders, Torben Bach Pedersen |
| 2016 | SISAP | BFST_ED: A Novel Upper Bound Computation Framework for the Graph Edit Distance. | Karam Gouda, Mona M. Arafa, Toon Calders |
| 2015 | ECIR | Classification of Historical Notary Acts with Noisy Labels. | Julia Efremova, Alejandro Montes Garca, Toon Calders |
| 2015 | MDM | Mining Risk Factors in RFID Baggage Tracking Data. | Tanvir Ahmed, Toon Calders, Torben Bach Pedersen |
| 2013 | ICDM | Controlling Attribute Effect in Linear Regression. | Toon Calders, Asim Karim, Faisal Kamiran, Wasif Ali, Xiangliang Zhang |
| 2013 | ICDM | Predicting Current User Intent with Contextual Markov Models. | Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders |
| 2013 | KDD | Zips: mining compressing sequential patterns in streams. | Hoang Thanh Lam, Toon Calders, Jie Yang, Fabian Mrchen, Dmitriy Fradkin |
| 2013 | WWW | Discovering temporal hidden contexts in web sessions for user trail prediction. | Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders |
| 2012 | ALT | Recent Developments in Pattern Mining. | Toon Calders |
| 2012 | DIS | Recent Developments in Pattern Mining. | Toon Calders |
| 2012 | SDM | Mining Compressing Sequential Patterns. | Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin, Toon Calders |
| 2011 | ICDM | Handling Conditional Discrimination. | Indre Zliobaite, Faisal Kamiran, Toon Calders |
| 2011 | SDM | Online Discovery of Top-k Similar Motifs in Time Series Data. | Hoang Thanh Lam, Toon Calders, Ninh Pham |
| 2010 | ICDM | Approximation of Frequentness Probability of Itemsets in Uncertain Data. | Toon Calders, Calin Garboni, Bart Goethals |
| 2010 | ICDM | Discrimination Aware Decision Tree Learning. | Faisal Kamiran, Toon Calders, Mykola Pechenizkiy |
| 2010 | IDA | InfraWatch: Data Management of Large Systems for Monitoring Infrastructural Performance. | Arno J. Knobbe, Hendrik Blockeel, Arne Koopman, Toon Calders, Bas Obladen, Carlos Bosma, Hessel Galenkamp, Eddy Koenders, Joost N. Kok |
| 2010 | KDD | Mining top-k frequent items in a data stream with flexible sliding windows. | Hoang Thanh Lam, Toon Calders |
| 2010 | PAKDD | Efficient Pattern Mining of Uncertain Data with Sampling. | Toon Calders, Calin Garboni, Bart Goethals |
| 2009 | ICDM | Building Classifiers with Independency Constraints. | Toon Calders, Faisal Kamiran, Mykola Pechenizkiy |
| 2009 | SAC | Using minimum description length for process mining. | Toon Calders, Christian W. Gnther, Mykola Pechenizkiy, Anne Rozinat |
| 2008 | EDM | Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study. | Mykola Pechenizkiy, Toon Calders, Ekaterina Vasilyeva, Paul De Bra |
| 2008 | ICDE | Mining Views: Database Views for Data Mining. | Hendrik Blockeel, Toon Calders, lisa Fromont, Bart Goethals, Adriana Prado |
| 2008 | ICDM | Anti-monotonic Overlap-Graph Support Measures. | Toon Calders, Jan Ramon, Dries Van Dyck |
| 2008 | KDD | An inductive database prototype based on virtual mining views. | Hendrik Blockeel, Toon Calders, lisa Fromont, Bart Goethals, Adriana Prado, Cline Robardet |
| 2007 | ICALT | Workshop on Educational Data Mining @ ICALT07 (EDM@ICALT07). | Joseph E. Beck, Toon Calders, Mykola Pechenizkiy, Silvia Rita Viola |
| 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 |
| 2006 | PODS | Analyzing workflows implied by instance-dependent access rules. | Toon Calders, Stijn Dekeyser, Jan Hidders, Jan Paredaens |
| 2005 | SDM | Depth-First Non-Derivable Itemset Mining. | Toon Calders, Bart Goethals |
| 2004 | PODS | Computational Complexity of Itemset Frequency Satisfiability. | Toon Calders |
| 2001 | ICDT | Axiomatization of Frequent Sets. | Toon Calders, Jan Paredaens |
| 2000 | DaWaK | Mining Frequent Binary Expressions. | Toon Calders, Jan Paredaens |
| 1999 | KDD | Discovering Roll-Up Dependencies. | Jef Wijsen, Raymond T. Ng, Toon Calders |