Discovering Roll-Up Dependencies. - Jef Wijsen; Raymond T. Ng; Toon Calders (KDD, 1999)

Mining Frequent Binary Expressions. - Toon Calders; Jan Paredaens (DaWaK, 2000)

On Monotone Data Mining Languages. - Toon Calders; Jef Wijsen (DBPL, 2001)

Axiomatization of Frequent Sets. - Toon Calders; Jan Paredaens (ICDT, 2001)

Mining All Non-derivable Frequent Itemsets. - Toon Calders; Bart Goethals (PKDD, 2002)

Searching for dependencies at multiple abstraction levels. - Toon Calders; Raymond T. Ng; Jef Wijsen (ACM Trans. Database Syst., 2002)

Minimal k-Free Representations of Frequent Sets. - Toon Calders; Bart Goethals (PKDD, 2003)

Axiomatization of frequent itemsets. - Toon Calders; Jan Paredaens (Theor. Comput. Sci., 2003)

Deducing Bounds on the Support of Itemsets. - Toon Calders (Database Support for Data Mining Applications, 2004)

A Survey on Condensed Representations for Frequent Sets. - Toon Calders; Christophe Rigotti; Jean-François Boulicaut (Constraint-Based Mining and Inductive Databases, 2004)

Theoretical Bounds on the Size of Condensed Representations. - Nele Dexters; Toon Calders (KDID, 2004)

Computational Complexity of Itemset Frequency Satisfiability. - Toon Calders (PODS, 2004)

Applying Webmining Techniques to Execution Traces to Support the Program Comprehension Process. - Andy Zaidman; Toon Calders; Serge Demeyer; Jan Paredaens (CSMR, 2005)

Quick Inclusion-Exclusion. - Toon Calders; Bart Goethals (KDID, 2005)

Depth-First Non-Derivable Itemset Mining. - Toon Calders; Bart Goethals (SDM, 2005)

Mining rank-correlated sets of numerical attributes. - Toon Calders; Bart Goethals; Szymon Jaroszewicz (KDD, 2006)

Integrating Pattern Mining in Relational Databases. - Toon Calders; Bart Goethals; Adriana Prado (PKDD, 2006)

Analyzing workflows implied by instance-dependent access rules. - Toon Calders; Stijn Dekeyser; Jan Hidders; Jan Paredaens (PODS, 2006)

Expressive power of an algebra for data mining. - Toon Calders; Laks V. S. Lakshmanan; Raymond T. Ng; Jan Paredaens (ACM Trans. Database Syst., 2006)

Workshop on Educational Data Mining @ ICALT07 (EDM@ICALT07). - Joseph E. Beck; Toon Calders; Mykola Pechenizkiy; Silvia Rita Viola (ICALT, 2007)

Mining Frequent Itemsets in a Stream. - Toon Calders; Nele Dexters; Bart Goethals (ICDM, 2007)

Efficient AUC Optimization for Classification. - Toon Calders; Szymon Jaroszewicz (PKDD, 2007)

Mining itemsets in the presence of missing values. - Toon Calders; Bart Goethals; Michael Mampaey (SAC, 2007)

The complexity of satisfying constraints on databases of transactions. - Toon Calders (Acta Informatica, 2007)

Non-derivable itemset mining. - Toon Calders; Bart Goethals (Data Min. Knowl. Discov., 2007)

A new support measure for items in streams. - Toon Calders; Nele Dexters; Bart Goethals (Monde des Util. Anal. Données, 2007)

Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study. - Mykola Pechenizkiy; Toon Calders; Ekaterina Vasilyeva; Paul De Bra (EDM, 2008)

Mining Views: Database Views for Data Mining. - Hendrik Blockeel; Toon Calders; Élisa Fromont; Bart Goethals; Adriana Prado (ICDE, 2008)

Anti-monotonic Overlap-Graph Support Measures. - Toon Calders; Jan Ramon; Dries Van Dyck (ICDM, 2008)

An inductive database prototype based on virtual mining views. - Hendrik Blockeel; Toon Calders; Élisa Fromont; Bart Goethals; Adriana Prado; Céline Robardet (KDD, 2008)

Min, Max and PTIME Anti-Monotonic Overlap Graph Measures. - Toon Calders; Jan Ramon; Dries Van Dyck (MLG@ICML, 2008)

Mining conjunctive sequential patterns. - Chedy Raïssi; Toon Calders; Pascal Poncelet (Data Min. Knowl. Discov., 2008)

Mining frequent items in a stream using flexible windows. - Toon Calders; Nele Dexters; Bart Goethals (Intell. Data Anal., 2008)

Itemset frequency satisfiability: Complexity and axiomatization. - Toon Calders (Theor. Comput. Sci., 2008)

Building Classifiers with Independency Constraints. - Toon Calders; Faisal Kamiran; Mykola Pechenizkiy (ICDM Workshops, 2009)

Using minimum description length for process mining. - Toon Calders; Christian W. Günther; Mykola Pechenizkiy; Anne Rozinat (SAC, 2009)

A Practical Comparative Study Of Data Mining Query Languages. - Hendrik Blockeel; Toon Calders; Élisa Fromont; Bart Goethals; Adriana Prado; Céline Robardet (Inductive Databases and Constraint-Based Data Mining, 2010)

Inductive Querying with Virtual Mining Views. - Hendrik Blockeel; Toon Calders; Élisa Fromont; Adriana Prado; Bart Goethals; Céline Robardet (Inductive Databases and Constraint-Based Data Mining, 2010)

Approximation of Frequentness Probability of Itemsets in Uncertain Data. - Toon Calders; Calin Garboni; Bart Goethals (ICDM, 2010)

Discrimination Aware Decision Tree Learning. - Faisal Kamiran; Toon Calders; Mykola Pechenizkiy (ICDM, 2010)

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 (IDA, 2010)

Mining top-k frequent items in a data stream with flexible sliding windows. - Hoang Thanh Lam; Toon Calders (KDD, 2010)

Efficient Pattern Mining of Uncertain Data with Sampling. - Toon Calders; Calin Garboni; Bart Goethals (PAKDD (1), 2010)

Three naive Bayes approaches for discrimination-free classification. - Toon Calders; Sicco Verwer (Data Min. Knowl. Discov., 2010)

Handling Conditional Discrimination. - Indre Zliobaite; Faisal Kamiran; Toon Calders (ICDM, 2011)

Online Discovery of Top-k Similar Motifs in Time Series Data. - Hoang Thanh Lam; Toon Calders; Ninh Pham (SDM, 2011)

All normalized anti-monotonic overlap graph measures are bounded. - Toon Calders; Jan Ramon; Dries Van Dyck (Data Min. Knowl. Discov., 2011)

Data preprocessing techniques for classification without discrimination. - Faisal Kamiran; Toon Calders (Knowl. Inf. Syst., 2011)

Introduction to the special section on educational data mining. - Toon Calders; Mykola Pechenizkiy (SIGKDD Explor., 2011)

Recent Developments in Pattern Mining. - Toon Calders (ALT, 2012)

An inductive database system based on virtual mining views. - Hendrik Blockeel; Toon Calders; Élisa Fromont; Bart Goethals; Adriana Prado; Céline Robardet (Data Min. Knowl. Discov., 2012)

Introduction to Pattern Mining. - Toon Calders (eBISS, 2013)

Vers une mesure de similarité pour les séquences complexes. - Elias Egho; Chedy Raïssi; Toon Calders; Thomas Bourquard; Nicolas Jay; Amedeo Napoli (EGC, 2013)

Controlling Attribute Effect in Linear Regression. - Toon Calders; Asim Karim; Faisal Kamiran; Wasif Ali; Xiangliang Zhang 001 (ICDM, 2013)

Predicting Current User Intent with Contextual Markov Models. - Julia Kiseleva; Hoang Thanh Lam; Mykola Pechenizkiy; Toon Calders (ICDM Workshops, 2013)

Zips: mining compressing sequential patterns in streams. - Hoang Thanh Lam; Toon Calders; Jie Yang 028; Fabian Mörchen; Dmitriy Fradkin (IDEA@KDD, 2013)

Discovering temporal hidden contexts in web sessions for user trail prediction. - Julia Kiseleva; Hoang Thanh Lam; Mykola Pechenizkiy; Toon Calders (WWW (Companion Volume), 2013)

Quantifying explainable discrimination and removing illegal discrimination in automated decision making. - Faisal Kamiran; Indre Zliobaite; Toon Calders (Knowl. Inf. Syst., 2013)

What Is Data Mining and How Does It Work? - Toon Calders; Bart Custers (Discrimination and Privacy in the Information Society, 2013)

Why Unbiased Computational Processes Can Lead to Discriminative Decision Procedures. - Toon Calders; Indre Zliobaite (Discrimination and Privacy in the Information Society, 2013)

The Way Forward. - Bart Custers; Toon Calders; Tal Z. Zarsky; Bart W. Schermer (Discrimination and Privacy in the Information Society, 2013)

Techniques for Discrimination-Free Predictive Models. - Faisal Kamiran; Toon Calders; Mykola Pechenizkiy (Discrimination and Privacy in the Information Society, 2013)

Introducing Positive Discrimination in Predictive Models. - Sicco Verwer; Toon Calders (Discrimination and Privacy in the Information Society, 2013)

A Hybrid Disambiguation Measure for Inaccurate Cultural Heritage Data. - Julia Efremova; Bijan Ranjbar Sahraei; Toon Calders (LaTeCH@EACL, 2014)

Mining frequent itemsets in a stream. - Toon Calders; Nele Dexters; Joris J. M. Gillis; Bart Goethals (Inf. Syst., 2014)

Guest Editors' introduction: special issue of the ECML/PKDD 2014 journal track. - Toon Calders; Floriana Esposito; Eyke Hüllermeier; Rosa Meo (Mach. Learn., 2014)

Mining Compressing Sequential Patterns. - Hoang Thanh Lam; Fabian Mörchen; Dmitriy Fradkin; Toon Calders (Stat. Anal. Data Min., 2014)

Finding Robust Itemsets under Subsampling. - Nikolaj Tatti; Fabian Moerchen; Toon Calders (ACM Trans. Database Syst., 2014)

Multi-Source Entity Resolution for Genealogical Data. - Julia Efremova; Bijan Ranjbar Sahraei; Hossein Rahmani 002; Frans A. Oliehoek; Toon Calders; Karl Tuyls; Gerhard Weiss 001 (Population Reconstruction, 2015)

Classification of Historical Notary Acts with Noisy Labels. - Julia Efremova; Alejandro Montes García; Toon Calders (ECIR, 2015)

Towards distributed convoy pattern mining. - Faisal Orakzai; Thomas Devogele; Toon Calders (SIGSPATIAL/GIS, 2015)

Mining Risk Factors in RFID Baggage Tracking Data. - Tanvir Ahmed 001; Toon Calders; Torben Bach Pedersen (MDM (1), 2015)

Maintaining Sliding-Window Neighborhood Profiles in Interaction Networks. - Rohit Kumar 002; Toon Calders; Aristides Gionis; Nikolaj Tatti (ECML/PKDD (2), 2015)

HiDER: Query-Driven Entity Resolution for Historical Data. - Bijan Ranjbar Sahraei; Julia Efremova; Hossein Rahmani 002; Toon Calders; Karl Tuyls; Gerhard Weiss 001 (ECML/PKDD (3), 2015)

Who Are My Ancestors? Retrieving Family Relationships from Historical Texts. - Julia Efremova; Alejandro Montes García; Alfredo Bolt Iriondo; Toon Calders (RuSSIR, 2015)

Effects of Evolutionary Linguistics in Text Classification. - Julia Efremova; Alejandro Montes García; Jianpeng Zhang; Toon Calders (SLSP, 2015)

On measuring similarity for sequences of itemsets. - Elias Egho; Chedy Raïssi; Toon Calders; Nicolas Jay; Amedeo Napoli (Data Min. Knowl. Discov., 2015)

H-WorD: Supporting Job Scheduling in Hadoop with Workload-Driven Data Redistribution. - Petar Jovanovic 001; Oscar Romero 001; Toon Calders; Alberto Abelló (ADBIS, 2016)

Fairness-Aware Data Mining. - Toon Calders (EGC, 2016)

Towards Information Profiling: Data Lake Content Metadata Management. - Ayman Alserafi; Alberto Abelló; Oscar Romero 001; Toon Calders (ICDM Workshops, 2016)

Online Risk Prediction for Indoor Moving Objects. - Tanvir Ahmed 001; Torben Bach Pedersen; Toon Calders; Hua Lu 001 (MDM, 2016)

Distributed Convoy Pattern Mining. - Faisal Orakzai; Toon Calders; Torben Bach Pedersen (MDM, 2016)

BFST_ED: A Novel Upper Bound Computation Framework for the Graph Edit Distance. - Karam Gouda; Mona M. Arafa; Toon Calders (SISAP, 2016)

PROMETHEE is Not Quadratic: An O(qn log(n)) Algorithm. - Toon Calders; Dimitri Van Assche (CoRR, 2016)

Cost Model for Pregel on GraphX. - Rohit Kumar 002; Alberto Abelló; Toon Calders (ADBIS, 2017)

IMaxer: A Unified System for Evaluating Influence Maximization in Location-based Social Networks. - Muhammad Aamir Saleem; Rohit Kumar 002; Toon Calders; Xike Xie; Torben Bach Pedersen (CIKM, 2017)

Three Big Data Tools for a Data Scientist's Toolbox. - Toon Calders (eBISS, 2017)

Information Propagation in Interaction Networks. - Rohit Kumar 002; Toon Calders (EDBT, 2017)

Finding simple temporal cycles in an interaction network. - Rohit Kumar 002; Toon Calders (TD-LSG@PKDD/ECML, 2017)

Activity-Driven Influence Maximization in Social Networks. - Rohit Kumar 002; Muhammad Aamir Saleem; Toon Calders; Xike Xie; Torben Bach Pedersen (ECML/PKDD (3), 2017)

DS-Prox: Dataset Proximity Mining for Governing the Data Lake. - Ayman Alserafi; Toon Calders; Alberto Abelló; Oscar Romero 001 (SISAP, 2017)

Location Influence in Location-based Social Networks. - Muhammad Aamir Saleem; Rohit Kumar 002; Toon Calders; Xike Xie; Torben Bach Pedersen (WSDM, 2017)

Risk detection and prediction from indoor tracking data. - Tanvir Ahmed 001; Toon Calders; Hua Lu 001; Torben Bach Pedersen (ACM SIGSPATIAL Special, 2017)

Predicting Visitors Using Location-Based Social Networks. - Muhammad Aamir Saleem; Felipe Soares Da Costa; Peter Dolog; Panagiotis Karras; Torben Bach Pedersen; Toon Calders (MDM, 2018)

Extending Dynamic Bayesian Networks for Anomaly Detection in Complex Logs. - Stephen Pauwels; Toon Calders (CoRR, 2018)

Detecting and Explaining Drifts in Yearly Grant Applications. - Stephen Pauwels; Toon Calders (CoRR, 2018)

Introduction to the special issue on discovery science. - Michelangelo Ceci; Toon Calders (Mach. Learn., 2018)

A novel hierarchical-based framework for upper bound computation of graph edit distance. - Karam Gouda; Mona M. Arafa; Toon Calders (Pattern Recognit., 2018)

2SCENT: An Efficient Algorithm to Enumerate All Simple Temporal Cycles. - Rohit Kumar 002; Toon Calders (Proc. VLDB Endow., 2018)

ACD2: A Tool to Interactively Explore Business Process Logs. - Stephen Pauwels; Toon Calders (BPM (PhD/Demos), 2019)

Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks. - Angelo Impedovo; Michelangelo Ceci; Toon Calders (DS, 2019)

Keeping the Data Lake in Form: DS-kNN Datasets Categorization Using Proximity Mining. - Ayman Alserafi; Alberto Abelló; Oscar Romero 001; Toon Calders (MEDI, 2019)

An anomaly detection technique for business processes based on extended dynamic bayesian networks. - Stephen Pauwels; Toon Calders (SAC, 2019)

Effective and efficient location influence mining in location-based social networks. - Muhammad Aamir Saleem; Rohit Kumar 002; Toon Calders; Torben Bach Pedersen (Knowl. Inf. Syst., 2019)

k/2-hop: Fast Mining of Convoy Patterns With Effective Pruning. - Faisal Orakzai; Toon Calders; Torben Bach Pedersen (Proc. VLDB Endow., 2019)

Bayesian Network Based Predictions of Business Processes. - Stephen Pauwels; Toon Calders (BPM (Forum), 2020)

Keeping the Data Lake in Form: Proximity Mining for Pre-Filtering Schema Matching. - Ayman Alserafi; Alberto Abelló; Oscar Romero 001; Toon Calders (ACM Trans. Inf. Syst., 2020)

Finding Geo-Social Cohorts in Location-Based Social Networks. - Muhammad Aamir Saleem; Toon Calders; Torben Bach Pedersen; Panagiotis Karras (APWeb/WAIM (2), 2021)

Incremental Predictive Process Monitoring: The Next Activity Case. - Stephen Pauwels; Toon Calders (BPM, 2021)

Learning a Fair Distance Function for Situation Testing. - Daphne Lenders; Toon Calders (PKDD/ECML Workshops (1), 2021)

Efficient Permutation Testing for Significant Sequential Patterns. - Sam Pinxteren; Toon Calders (SDM, 2021)

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models. - Pieter Delobelle; Ewoenam Kwaku Tokpo; Toon Calders; Bettina Berendt (CoRR, 2021)

Distributed mining of convoys in large scale datasets. - Faisal Orakzai; Torben Bach Pedersen; Toon Calders (GeoInformatica, 2021)

Roman Urdu toxic comment classification. - Hafiz Hassaan Saeed; Muhammad Haseeb Ashraf; Faisal Kamiran; Asim Karim; Toon Calders (Lang. Resour. Evaluation, 2021)

Introduction to The Special Section on Bias and Fairness in AI. - Toon Calders; Eirini Ntoutsi; Mykola Pechenizkiy; Bodo Rosenhahn; Salvatore Ruggieri (SIGKDD Explor., 2021)

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 (NAACL-HLT, 2022)

Text Style Transfer for Bias Mitigation using Masked Language Modeling. - Ewoenam Kwaku Tokpo; Toon Calders (NAACL-HLT (Student Research Workshop), 2022)

RangeGrad: Explaining Neural Networks by Measuring Uncertainty Through Bound Propagation. - Sam Pinxteren; Marco Favier; Toon Calders (PKDD/ECML Workshops (1), 2022)

A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis. - Lennert Verboven; Toon Calders; Steven Callens; John Black; Gary Maartens; Kelly E. Dooley; Samantha Potgieter; Robin M. Warren; Kris Laukens; Annelies Van Rie (BMC Medical Informatics Decis. Mak., 2022)

How Far Can It Go? On Intrinsic Gender Bias Mitigation for Text Classification. - Ewoenam Kwaku Tokpo; Pieter Delobelle; Bettina Berendt; Toon Calders (EACL, 2023)

Explainability Methods to Detect and Measure Discrimination in Machine Learning Models. - Sofie Goethals; David Martens; Toon Calders (EWAF, 2023)

Functional Requirements for Interactive Bias-Audit Tools. - Daphne Lenders; Toon Calders (HHAI, 2023)

Real-life Performance of Fairness Interventions - Introducing A New Benchmarking Dataset for Fair ML. - Daphne Lenders; Toon Calders (SAC, 2023)

Model-based Counterfactual Generator for Gender Bias Mitigation. - Ewoenam Kwaku Tokpo; Toon Calders (CoRR, 2023)

How to be fair? A study of label and selection bias. - Marco Favier; Toon Calders; Sam Pinxteren; Jonathan Meyer (Mach. Learn., 2023)

How a socio-technical approach to AI auditing can change how we understand and measure fairness in machine learning systems. - Gemma Galdon Clavell; Ariane Aumaitre; Toon Calders (AIMMES, 2024)

How to Be Fair? a Discussion and Future Perspectives. - Marco Favier; Toon Calders (EWAF, 2024)

A Fair Selective Classifier to Put Humans in the Loop. - Daphne Lenders; Andrea Pugnana; Roberto Pellungrini; Toon Calders; Fosca Giannotti; Dino Pedreschi (EWAF, 2024)

Interpretable and Fair Mechanisms for Abstaining Classifiers. - Daphne Lenders; Andrea Pugnana; Roberto Pellungrini; Toon Calders; Dino Pedreschi; Fosca Giannotti (ECML/PKDD (7), 2024)

FairFlow: An Automated Approach to Model-Based Counterfactual Data Augmentation for NLP. - Ewoenam Kwaku Tokpo; Toon Calders (ECML/PKDD (7), 2024)

Beyond Accuracy-Fairness: Stop evaluating bias mitigation methods solely on between-group metrics. - Sofie Goethals; Toon Calders; David Martens (CoRR, 2024)

"Patriarchy Hurts Men Too." Does Your Model Agree? A Discussion on Fairness Assumptions. - Marco Favier; Toon Calders (CoRR, 2024)

PreCoF: counterfactual explanations for fairness. - Sofie Goethals; David Martens; Toon Calders (Mach. Learn., 2024)

Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks. - Corrado Loglisci; Angelo Impedovo; Toon Calders; Michelangelo Ceci (J. Intell. Inf. Syst., 2024)

From Implicit to Explicit Assumptions: Why There is No Fairness Without Bias-Awareness. - Marco Favier; Toon Calders (EWAF, 2025)

Influence of Label and Selection Bias on Fairness Interventions. - Magali Legast; Toon Calders; Francois Fouss (EWAF, 2025)

Unveiling gender bias in LLM-generated hero and heroine narratives. - Irene C. E. van Blerck; Edirlei Soares de Lima; Margot M. E. Neggers; Toon Calders (Entertain. Comput., 2025)

Users' needs in interactive bias auditing tools introducing a requirement checklist and evaluating existing tools. - Daphne Lenders; Toon Calders (AI Ethics, 2025)

Cherry on the cake: fairness is NOT an optimization problem. - Marco Favier; Toon Calders (Mach. Learn., 2025)