Toon Calders

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 55

Top Venues

Publications

Marco Favier, Toon Calders, Sam Pinxteren, Jonathan Meyer
How to be fair? A study of label and selection bias. CoRR (2024)
Sofie Goethals, David Martens, Toon Calders
PreCoF: counterfactual explanations for fairness. Mach. Learn. 113 (5) (2024)
Marco Favier, Toon Calders
Cherry on the Cake: Fairness is NOT an Optimization Problem. CoRR (2024)
Sofie Goethals, Toon Calders, David Martens
Beyond Accuracy-Fairness: Stop evaluating bias mitigation methods solely on between-group metrics. CoRR (2024)
Ewoenam Kwaku Tokpo, Toon Calders
FairFlow: An Automated Approach to Model-based Counterfactual Data Augmentation For NLP. CoRR (2024)
Ewoenam Kwaku Tokpo, Pieter Delobelle, Bettina Berendt, Toon Calders
How Far Can It Go? On Intrinsic Gender Bias Mitigation for Text Classification. EACL (2023)
Daphne Lenders, Toon Calders
Real-life Performance of Fairness Interventions - Introducing A New Benchmarking Dataset for Fair ML. SAC (2023)
Daphne Lenders, Toon Calders
Functional Requirements for Interactive Bias-Audit Tools. HHAI (2023)
Sofie Goethals, David Martens, Toon Calders
Explainability Methods to Detect and Measure Discrimination in Machine Learning Models. EWAF (2023)
Marco Favier, Toon Calders, Sam Pinxteren, Jonathan Meyer
How to be fair? A study of label and selection bias. Mach. Learn. 112 (12) (2023)
Ewoenam Kwaku Tokpo, Toon Calders
Model-based Counterfactual Generator for Gender Bias Mitigation. CoRR (2023)
Ewoenam Kwaku Tokpo, Pieter Delobelle, Bettina Berendt, Toon Calders
How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text Classification. CoRR (2023)
Ewoenam Kwaku Tokpo, Toon Calders
Text Style Transfer for Bias Mitigation using Masked Language Modeling. CoRR (2022)
Ewoenam Kwaku Tokpo, Toon Calders
Text Style Transfer for Bias Mitigation using Masked Language Modeling. NAACL-HLT (Student Research Workshop) (2022)
Sam Pinxteren, Marco Favier, Toon Calders
RangeGrad: Explaining Neural Networks by Measuring Uncertainty Through Bound Propagation. PKDD/ECML Workshops (1) (2022)
Pieter Delobelle, Ewoenam Kwaku Tokpo, Toon Calders, Bettina Berendt
Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models. NAACL-HLT (2022)
Lennert Verboven, Toon Calders, Steven Callens, John Black, Gary Maartens, Kelly E. Dooley, Samantha Potgieter, Robin M. Warren, Kris Laukens, Annelies Van Rie
A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Sam Pinxteren, Toon Calders
Efficient Permutation Testing for Significant Sequential Patterns. SDM (2021)
Faisal Orakzai, Torben Bach Pedersen, Toon Calders
Distributed mining of convoys in large scale datasets. GeoInformatica 25 (2) (2021)
Stephen Pauwels, Toon Calders
Incremental Predictive Process Monitoring: The Next Activity Case. BPM (2021)
Toon Calders, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Salvatore Ruggieri
Introduction to The Special Section on Bias and Fairness in AI. SIGKDD Explor. 23 (1) (2021)
Hafiz Hassaan Saeed, Muhammad Haseeb Ashraf, Faisal Kamiran, Asim Karim, Toon Calders
Roman Urdu toxic comment classification. Lang. Resour. Evaluation 55 (4) (2021)
Daphne Lenders, Toon Calders
Learning a Fair Distance Function for Situation Testing. PKDD/ECML Workshops (1) (2021)
Muhammad Aamir Saleem, Toon Calders, Torben Bach Pedersen, Panagiotis Karras
Finding Geo-Social Cohorts in Location-Based Social Networks. APWeb/WAIM (2) (2021)
Pieter Delobelle, Ewoenam Kwaku Tokpo, Toon Calders, Bettina Berendt
Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models. CoRR (2021)
Stephen Pauwels, Toon Calders
Bayesian Network Based Predictions of Business Processes. BPM (Forum) (2020)
Ayman Alserafi, Alberto Abelló, Oscar Romero, Toon Calders
Keeping the Data Lake in Form: Proximity Mining for Pre-Filtering Schema Matching. ACM Trans. Inf. Syst. 38 (3) (2020)
Ayman Alserafi, Alberto Abelló, Oscar Romero, Toon Calders
Keeping the Data Lake in Form: DS-kNN Datasets Categorization Using Proximity Mining. MEDI (2019)
Angelo Impedovo, Michelangelo Ceci, Toon Calders
Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks. DS (2019)
Stephen Pauwels, Toon Calders
An anomaly detection technique for business processes based on extended dynamic bayesian networks. SAC (2019)
Stephen Pauwels, Toon Calders
ACD2: A Tool to Interactively Explore Business Process Logs. BPM (PhD/Demos) (2019)
Faisal Orakzai, Toon Calders, Torben Bach Pedersen
k/2-hop: Fast Mining of Convoy Patterns With Effective Pruning. Proc. VLDB Endow. 12 (9) (2019)
Muhammad Aamir Saleem, Rohit Kumar, Toon Calders, Torben Bach Pedersen
Effective and efficient location influence mining in location-based social networks. Knowl. Inf. Syst. 61 (1) (2019)
Stephen Pauwels, Toon Calders
Detecting and Explaining Drifts in Yearly Grant Applications. CoRR (2018)
Karam Gouda, Mona Arafa, Toon Calders
A novel hierarchical-based framework for upper bound computation of graph edit distance. Pattern Recognit. 80 (2018)
Rohit Kumar, Toon Calders
2SCENT: An Efficient Algorithm to Enumerate All Simple Temporal Cycles. Proc. VLDB Endow. 11 (11) (2018)
Muhammad Aamir Saleem, Felipe Soares Da Costa, Peter Dolog, Panagiotis Karras, Torben Bach Pedersen, Toon Calders
Predicting Visitors Using Location-Based Social Networks. MDM (2018)
Michelangelo Ceci, Toon Calders
Introduction to the special issue on discovery science. Mach. Learn. 107 (11) (2018)
Stephen Pauwels, Toon Calders
Extending Dynamic Bayesian Networks for Anomaly Detection in Complex Logs. CoRR (2018)
Ayman Alserafi, Toon Calders, Alberto Abelló, Oscar Romero
DS-Prox: Dataset Proximity Mining for Governing the Data Lake. SISAP (2017)
Rohit Kumar, Toon Calders
Finding simple temporal cycles in an interaction network. TD-LSG@PKDD/ECML (2017)
Muhammad Aamir Saleem, Rohit Kumar, Toon Calders, Xike Xie, Torben Bach Pedersen
IMaxer: A Unified System for Evaluating Influence Maximization in Location-based Social Networks. CIKM (2017)
Toon Calders
Three Big Data Tools for a Data Scientist's Toolbox. eBISS (2017)
Muhammad Aamir Saleem, Rohit Kumar, Toon Calders, Xike Xie, Torben Bach Pedersen
Location Influence in Location-based Social Networks. WSDM (2017)
Rohit Kumar, Toon Calders
Information Propagation in Interaction Networks. EDBT (2017)
Rohit Kumar, Alberto Abelló, Toon Calders
Cost Model for Pregel on GraphX. ADBIS (2017)
Tanvir Ahmed, Toon Calders, Hua Lu, Torben Bach Pedersen
Risk detection and prediction from indoor tracking data. ACM SIGSPATIAL Special 9 (2) (2017)
Rohit Kumar, Muhammad Aamir Saleem, Toon Calders, Xike Xie, Torben Bach Pedersen
Activity-Driven Influence Maximization in Social Networks. ECML/PKDD (3) (2017)
Tanvir Ahmed, Torben Bach Pedersen, Toon Calders, Hua Lu
Online Risk Prediction for Indoor Moving Objects. MDM (2016)
Petar Jovanovic, Oscar Romero, Toon Calders, Alberto Abelló
H-WorD: Supporting Job Scheduling in Hadoop with Workload-Driven Data Redistribution. ADBIS (2016)
Ayman Alserafi, Alberto Abelló, Oscar Romero, Toon Calders
Towards Information Profiling: Data Lake Content Metadata Management. ICDM Workshops (2016)
Toon Calders
Fairness-Aware Data Mining. EGC (2016)
Faisal Orakzai, Toon Calders, Torben Bach Pedersen
Distributed Convoy Pattern Mining. MDM (2016)
Toon Calders, Dimitri Van Assche
PROMETHEE is Not Quadratic: An O(qn log(n)) Algorithm. CoRR (2016)
Karam Gouda, Mona Arafa, Toon Calders
BFST_ED: A Novel Upper Bound Computation Framework for the Graph Edit Distance. SISAP (2016)
Faisal Orakzai, Thomas Devogele, Toon Calders
Towards distributed convoy pattern mining. SIGSPATIAL/GIS (2015)
Julia Efremova, Alejandro Montes García, Alfredo Bolt Iriondo, Toon Calders
Who Are My Ancestors? Retrieving Family Relationships from Historical Texts. RuSSIR (2015)
Julia Efremova, Alejandro Montes García, Jianpeng Zhang, Toon Calders
Effects of Evolutionary Linguistics in Text Classification. SLSP (2015)
Tanvir Ahmed, Toon Calders, Torben Bach Pedersen
Mining Risk Factors in RFID Baggage Tracking Data. MDM (1) (2015)
Elias Egho, Chedy Raïssi, Toon Calders, Nicolas Jay, Amedeo Napoli
On measuring similarity for sequences of itemsets. Data Min. Knowl. Discov. 29 (3) (2015)
Bijan Ranjbar Sahraei, Julia Efremova, Hossein Rahmani, Toon Calders, Karl Tuyls, Gerhard Weiss
HiDER: Query-Driven Entity Resolution for Historical Data. ECML/PKDD (3) (2015)
Faisal Orakzai, Thomas Devogele, Toon Calders
Towards Distributed Convoy Pattern Mining. CoRR (2015)
Julia Efremova, Alejandro Montes García, Toon Calders
Classification of Historical Notary Acts with Noisy Labels. ECIR (2015)
Rohit Kumar, Toon Calders, Aristides Gionis, Nikolaj Tatti
Maintaining Sliding-Window Neighborhood Profiles in Interaction Networks. ECML/PKDD (2) (2015)
Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo
Guest editors' introduction: special issue of the ECML/PKDD 2014 journal track. Data Min. Knowl. Discov. 28 (5-6) (2014)
Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo
Guest Editors' introduction: special issue of the ECML/PKDD 2014 journal track. Mach. Learn. 97 (1-2) (2014)
Toon Calders, Nele Dexters, Joris J. M. Gillis, Bart Goethals
Mining frequent itemsets in a stream. Inf. Syst. 39 (2014)
Nikolaj Tatti, Fabian Moerchen, Toon Calders
Finding Robust Itemsets under Subsampling. ACM Trans. Database Syst. 39 (3) (2014)
Hoang Thanh Lam, Fabian Mörchen, Dmitriy Fradkin, Toon Calders
Mining Compressing Sequential Patterns. Stat. Anal. Data Min. 7 (1) (2014)
Julia Efremova, Bijan Ranjbar Sahraei, Toon Calders
A Hybrid Disambiguation Measure for Inaccurate Cultural Heritage Data. LaTeCH@EACL (2014)
Hoang Thanh Lam, Toon Calders, Jie Yang, Fabian Mörchen, Dmitriy Fradkin
Zips: mining compressing sequential patterns in streams. IDEA@KDD (2013)
Elias Egho, Chedy Raïssi, Toon Calders, Thomas Bourquard, Nicolas Jay, Amedeo Napoli
Vers une mesure de similarité pour les séquences complexes. EGC (2013)
Toon Calders, Asim Karim, Faisal Kamiran, Wasif Ali, Xiangliang Zhang
Controlling Attribute Effect in Linear Regression. ICDM (2013)
Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders
Predicting Current User Intent with Contextual Markov Models. ICDM Workshops (2013)
Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders
Discovering temporal hidden contexts in web sessions for user trail prediction. WWW (Companion Volume) (2013)
Faisal Kamiran, Indre Zliobaite, Toon Calders
Quantifying explainable discrimination and removing illegal discrimination in automated decision making. Knowl. Inf. Syst. 35 (3) (2013)
Toon Calders
Introduction to Pattern Mining. eBISS (2013)
Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet
An inductive database system based on virtual mining views. Data Min. Knowl. Discov. 24 (1) (2012)
Toon Calders
Recent Developments in Pattern Mining. ALT (2012)
Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin, Toon Calders
Mining Compressing Sequential Patterns. SDM (2012)
Toon Calders
Recent Developments in Pattern Mining. Discovery Science (2012)
Hoang Thanh Lam, Toon Calders, Ninh Pham
Online Discovery of Top-k Similar Motifs in Time Series Data. SDM (2011)
Toon Calders, Jan Ramon, Dries Van Dyck
All normalized anti-monotonic overlap graph measures are bounded. Data Min. Knowl. Discov. 23 (3) (2011)
Indre Zliobaite, Faisal Kamiran, Toon Calders
Handling Conditional Discrimination. ICDM (2011)
Faisal Kamiran, Toon Calders
Data preprocessing techniques for classification without discrimination. Knowl. Inf. Syst. 33 (1) (2011)
Toon Calders, Mykola Pechenizkiy
Introduction to the special section on educational data mining. SIGKDD Explor. 13 (2) (2011)
Toon Calders, Calin Garboni, Bart Goethals
Approximation of Frequentness Probability of Itemsets in Uncertain Data. ICDM (2010)
Hoang Thanh Lam, Toon Calders
Mining top-k frequent items in a data stream with flexible sliding windows. KDD (2010)
Toon Calders, Calin Garboni, Bart Goethals
Efficient Pattern Mining of Uncertain Data with Sampling. PAKDD (1) (2010)
Faisal Kamiran, Toon Calders, Mykola Pechenizkiy
Discrimination Aware Decision Tree Learning. ICDM (2010)
Arno J. Knobbe, Hendrik Blockeel, Arne Koopman, Toon Calders, Bas Obladen, Carlos Bosma, Hessel Galenkamp, Eddy Koenders, Joost N. Kok
InfraWatch: Data Management of Large Systems for Monitoring Infrastructural Performance. IDA (2010)
Toon Calders, Sicco Verwer
Three naive Bayes approaches for discrimination-free classification. Data Min. Knowl. Discov. 21 (2) (2010)
Toon Calders, Faisal Kamiran, Mykola Pechenizkiy
Building Classifiers with Independency Constraints. ICDM Workshops (2009)
Toon Calders, Christian W. Günther, Mykola Pechenizkiy, Anne Rozinat
Using minimum description length for process mining. SAC (2009)
Toon Calders, Jan Ramon, Dries Van Dyck
Anti-monotonic Overlap-Graph Support Measures. ICDM (2008)
Toon Calders
Itemset frequency satisfiability: Complexity and axiomatization. Theor. Comput. Sci. 394 (1-2) (2008)
Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado
Mining Views: Database Views for Data Mining. ICDE (2008)
Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet
An inductive database prototype based on virtual mining views. KDD (2008)
Chedy Raïssi, Toon Calders, Pascal Poncelet
Mining conjunctive sequential patterns. Data Min. Knowl. Discov. 17 (1) (2008)
Mykola Pechenizkiy, Toon Calders, Ekaterina Vasilyeva, Paul De Bra
Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study. EDM (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Toon Calders