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ORCIDToon Calders
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- affiliation: University of Antwerp, Antwerp, Belgium
- affiliation (former): Eindhoven University of Technology, Netherlands
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2020 – today
- 2024
[j35]Corrado Loglisci, Angelo Impedovo, Toon Calders, Michelangelo Ceci:
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks. J. Intell. Inf. Syst. 62(5): 1455-1492 (2024)- [j34]Sofie Goethals
, David Martens, Toon Calders:
PreCoF: counterfactual explanations for fairness. Mach. Learn. 113(5): 3111-3142 (2024) - [c84]Gemma Galdon Clavell, Ariane Aumaitre, Toon Calders:
How a socio-technical approach to AI auditing can change how we understand and measure fairness in machine learning systems. AIMMES 2024 - [c83]Ewoenam Kwaku Tokpo, Toon Calders:
FairFlow: An Automated Approach to Model-Based Counterfactual Data Augmentation for NLP. ECML/PKDD (7) 2024: 160-176 - [c82]Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Dino Pedreschi, Fosca Giannotti:
Interpretable and Fair Mechanisms for Abstaining Classifiers. ECML/PKDD (7) 2024: 416-433 - [i14]Sofie Goethals, Toon Calders, David Martens:
Beyond Accuracy-Fairness: Stop evaluating bias mitigation methods solely on between-group metrics. CoRR abs/2401.13391 (2024) - [i13]Marco Favier, Toon Calders, Sam Pinxteren, Jonathan Meyer:
How to be fair? A study of label and selection bias. CoRR abs/2403.14282 (2024) - [i12]Marco Favier, Toon Calders:
Cherry on the Cake: Fairness is NOT an Optimization Problem. CoRR abs/2406.16606 (2024) - [i11]Ewoenam Kwaku Tokpo, Toon Calders:
FairFlow: An Automated Approach to Model-based Counterfactual Data Augmentation For NLP. CoRR abs/2407.16431 (2024) - [i10]Marco Favier, Toon Calders:
"Patriarchy Hurts Men Too." Does Your Model Agree? A Discussion on Fairness Assumptions. CoRR abs/2408.00330 (2024) - 2023
- [j33]Marco Favier, Toon Calders, Sam Pinxteren, Jonathan Meyer:
How to be fair? A study of label and selection bias. Mach. Learn. 112(12): 5081-5104 (2023) - [c81]Ewoenam Kwaku Tokpo, Pieter Delobelle, Bettina Berendt, Toon Calders:
How Far Can It Go? On Intrinsic Gender Bias Mitigation for Text Classification. EACL 2023: 3410-3425 - [c80]Sofie Goethals, David Martens, Toon Calders:
Explainability Methods to Detect and Measure Discrimination in Machine Learning Models. EWAF 2023 - [c79]Daphne Lenders, Toon Calders:
Functional Requirements for Interactive Bias-Audit Tools. HHAI 2023: 426-428 - [c78]Daphne Lenders, Toon Calders:
Real-life Performance of Fairness Interventions - Introducing A New Benchmarking Dataset for Fair ML. SAC 2023: 350-357 - [e8]Toon Calders, Celine Vens, Jefrey Lijffijt, Bart Goethals:
Artificial Intelligence and Machine Learning - 34th Joint Benelux Conference, BNAIC/Benelearn 2022, Mechelen, Belgium, November 7-9, 2022, Revised Selected Papers. Communications in Computer and Information Science 1805, Springer 2023, ISBN 978-3-031-39143-9 [contents] - [i9]Ewoenam Kwaku Tokpo, Pieter Delobelle, Bettina Berendt, Toon Calders:
How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text Classification. CoRR abs/2301.12855 (2023) - [i8]Ewoenam Kwaku Tokpo, Toon Calders:
Model-based Counterfactual Generator for Gender Bias Mitigation. CoRR abs/2311.03186 (2023) - 2022
- [j32]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): 56 (2022) - [c77]Ewoenam Kwaku Tokpo, Toon Calders:
Text Style Transfer for Bias Mitigation using Masked Language Modeling. NAACL-HLT (Student Research Workshop) 2022: 163-171 - [c76]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: 1693-1706 - [c75]Sam Pinxteren, Marco Favier, Toon Calders:
RangeGrad: Explaining Neural Networks by Measuring Uncertainty Through Bound Propagation. PKDD/ECML Workshops (1) 2022: 336-352 - [i7]Ewoenam Kwaku Tokpo, Toon Calders:
Text Style Transfer for Bias Mitigation using Masked Language Modeling. CoRR abs/2201.08643 (2022) - 2021
- [j31]Faisal Orakzai, Torben Bach Pedersen, Toon Calders:
Distributed mining of convoys in large scale datasets. GeoInformatica 25(2): 353-396 (2021) - [j30]Hafiz Hassaan Saeed, Muhammad Haseeb Ashraf, Faisal Kamiran, Asim Karim, Toon Calders:
Roman Urdu toxic comment classification. Lang. Resour. Evaluation 55(4): 971-996 (2021) - [j29]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): 1-3 (2021) - [c74]Muhammad Aamir Saleem, Toon Calders, Torben Bach Pedersen, Panagiotis Karras:
Finding Geo-Social Cohorts in Location-Based Social Networks. APWeb/WAIM (2) 2021: 368-383 - [c73]Stephen Pauwels, Toon Calders:
Incremental Predictive Process Monitoring: The Next Activity Case. BPM 2021: 123-140 - [c72]Daphne Lenders, Toon Calders:
Learning a Fair Distance Function for Situation Testing. PKDD/ECML Workshops (1) 2021: 631-646 - [c71]Sam Pinxteren, Toon Calders:
Efficient Permutation Testing for Significant Sequential Patterns. SDM 2021: 19-27 - [i6]Pieter Delobelle, Ewoenam Kwaku Tokpo, Toon Calders, Bettina Berendt:
Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models. CoRR abs/2112.07447 (2021) - 2020
- [j28]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): 26:1-26:30 (2020) - [c70]Stephen Pauwels, Toon Calders:
Bayesian Network Based Predictions of Business Processes. BPM (Forum) 2020: 159-175
2010 – 2019
- 2019
- [j27]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): 327-362 (2019) - [j26]Faisal Orakzai, Toon Calders, Torben Bach Pedersen:
k/2-hop: Fast Mining of Convoy Patterns With Effective Pruning. Proc. VLDB Endow. 12(9): 948-960 (2019) - [c69]Stephen Pauwels, Toon Calders:
ACD2: A Tool to Interactively Explore Business Process Logs. BPM (PhD/Demos) 2019: 129-133 - [c68]Angelo Impedovo, Michelangelo Ceci, Toon Calders:
Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks. DS 2019: 396-411 - [c67]Ayman Alserafi, Alberto Abelló, Oscar Romero, Toon Calders:
Keeping the Data Lake in Form: DS-kNN Datasets Categorization Using Proximity Mining. MEDI 2019: 35-49 - [c66]Stephen Pauwels, Toon Calders:
An anomaly detection technique for business processes based on extended dynamic bayesian networks. SAC 2019: 494-501 - 2018
- [j25]Michelangelo Ceci, Toon Calders:
Introduction to the special issue on discovery science. Mach. Learn. 107(11): 1647-1649 (2018) - [j24]Karam Gouda, Mona Arafa, Toon Calders:
A novel hierarchical-based framework for upper bound computation of graph edit distance. Pattern Recognit. 80: 210-224 (2018) - [j23]Rohit Kumar, Toon Calders:
2SCENT: An Efficient Algorithm to Enumerate All Simple Temporal Cycles. Proc. VLDB Endow. 11(11): 1441-1453 (2018) - [c65]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: 245-250 - [i5]Stephen Pauwels, Toon Calders:
Extending Dynamic Bayesian Networks for Anomaly Detection in Complex Logs. CoRR abs/1805.07107 (2018) - [i4]Stephen Pauwels, Toon Calders:
Detecting and Explaining Drifts in Yearly Grant Applications. CoRR abs/1809.05650 (2018) - 2017
- [j22]Tanvir Ahmed, Toon Calders, Hua Lu, Torben Bach Pedersen:
Risk detection and prediction from indoor tracking data. ACM SIGSPATIAL Special 9(2): 11-18 (2017) - [c64]Rohit Kumar, Alberto Abelló, Toon Calders:
Cost Model for Pregel on GraphX. ADBIS 2017: 153-166 - [c63]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: 2523-2526 - [c62]Toon Calders:
Three Big Data Tools for a Data Scientist's Toolbox. eBISS 2017: 112-133 - [c61]Rohit Kumar, Toon Calders:
Information Propagation in Interaction Networks. EDBT 2017: 270-281 - [c60]Rohit Kumar, Toon Calders:
Finding simple temporal cycles in an interaction network. TD-LSG@PKDD/ECML 2017: 3-6 - [c59]Rohit Kumar, Muhammad Aamir Saleem, Toon Calders, Xike Xie, Torben Bach Pedersen:
Activity-Driven Influence Maximization in Social Networks. ECML/PKDD (3) 2017: 345-348 - [c58]Ayman Alserafi, Toon Calders, Alberto Abelló, Oscar Romero:
DS-Prox: Dataset Proximity Mining for Governing the Data Lake. SISAP 2017: 284-299 - [c57]Muhammad Aamir Saleem, Rohit Kumar, Toon Calders, Xike Xie, Torben Bach Pedersen:
Location Influence in Location-based Social Networks. WSDM 2017: 621-630 - 2016
- [c56]Petar Jovanovic, Oscar Romero, Toon Calders, Alberto Abelló:
H-WorD: Supporting Job Scheduling in Hadoop with Workload-Driven Data Redistribution. ADBIS 2016: 306-320 - [c55]Toon Calders:
Fairness-Aware Data Mining. EGC 2016: 3-4 - [c54]Ayman Alserafi, Alberto Abelló, Oscar Romero, Toon Calders:
Towards Information Profiling: Data Lake Content Metadata Management. ICDM Workshops 2016: 178-185 - [c53]Tanvir Ahmed, Torben Bach Pedersen, Toon Calders, Hua Lu:
Online Risk Prediction for Indoor Moving Objects. MDM 2016: 102-111 - [c52]Faisal Orakzai, Toon Calders, Torben Bach Pedersen:
Distributed Convoy Pattern Mining. MDM 2016: 122-131 - [c51]Karam Gouda, Mona Arafa, Toon Calders:
BFST_ED: A Novel Upper Bound Computation Framework for the Graph Edit Distance. SISAP 2016: 3-19 - [e7]Toon Calders, Michelangelo Ceci, Donato Malerba:
Discovery Science - 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings. Lecture Notes in Computer Science 9956, 2016, ISBN 978-3-319-46306-3 [contents] - [i3]Toon Calders, Dimitri Van Assche:
PROMETHEE is Not Quadratic: An O(qn log(n)) Algorithm. CoRR abs/1603.00091 (2016) - 2015
- [j21]Elias Egho, Chedy Raïssi, Toon Calders, Nicolas Jay, Amedeo Napoli:
On measuring similarity for sequences of itemsets. Data Min. Knowl. Discov. 29(3): 732-764 (2015) - [c50]Julia Efremova, Alejandro Montes García, Toon Calders:
Classification of Historical Notary Acts with Noisy Labels. ECIR 2015: 49-54 - [c49]Faisal Orakzai, Thomas Devogele, Toon Calders:
Towards distributed convoy pattern mining. SIGSPATIAL/GIS 2015: 50:1-50:4 - [c48]Tanvir Ahmed, Toon Calders, Torben Bach Pedersen:
Mining Risk Factors in RFID Baggage Tracking Data. MDM (1) 2015: 235-242 - [c47]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: 281-284 - [c46]Rohit Kumar, Toon Calders, Aristides Gionis, Nikolaj Tatti:
Maintaining Sliding-Window Neighborhood Profiles in Interaction Networks. ECML/PKDD (2) 2015: 719-735 - [c45]Julia Efremova, Alejandro Montes García, Alfredo Bolt Iriondo, Toon Calders:
Who Are My Ancestors? Retrieving Family Relationships from Historical Texts. RuSSIR 2015: 121-129 - [c44]Julia Efremova, Alejandro Montes García, Jianpeng Zhang, Toon Calders:
Effects of Evolutionary Linguistics in Text Classification. SLSP 2015: 50-61 - [p9]Julia Efremova, Bijan Ranjbar Sahraei, Hossein Rahmani, Frans A. Oliehoek, Toon Calders, Karl Tuyls, Gerhard Weiss:
Multi-Source Entity Resolution for Genealogical Data. Population Reconstruction 2015: 129-154 - [e6]Esteban Zimányi, Stijn Vansummeren, Toon Calders:
Actes des 11es journées francophones sur les Entrepôts de Données et l'Analyse en Ligne, EDA 2015, Bruxelles, Belgique, 2-3 avril 2015. RNTI B-11, Hermann-Éditions 2015 [contents] - [i2]Faisal Orakzai, Thomas Devogele, Toon Calders:
Towards Distributed Convoy Pattern Mining. CoRR abs/1512.08150 (2015) - 2014
- [j20]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): 1129-1133 (2014) - [j19]Toon Calders, Nele Dexters, Joris J. M. Gillis, Bart Goethals:
Mining frequent itemsets in a stream. Inf. Syst. 39: 233-255 (2014) - [j18]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): 1-3 (2014) - [j17]Hoang Thanh Lam, Fabian Mörchen, Dmitriy Fradkin, Toon Calders:
Mining Compressing Sequential Patterns. Stat. Anal. Data Min. 7(1): 34-52 (2014) - [j16]Nikolaj Tatti, Fabian Moerchen, Toon Calders:
Finding Robust Itemsets under Subsampling. ACM Trans. Database Syst. 39(3): 20:1-20:27 (2014) - [c43]Julia Efremova, Bijan Ranjbar Sahraei, Toon Calders:
A Hybrid Disambiguation Measure for Inaccurate Cultural Heritage Data. LaTeCH@EACL 2014: 47-55 - [e5]Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I. Lecture Notes in Computer Science 8724, Springer 2014, ISBN 978-3-662-44847-2 [contents] - [e4]Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II. Lecture Notes in Computer Science 8725, Springer 2014, ISBN 978-3-662-44850-2 [contents] - [e3]Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III. Lecture Notes in Computer Science 8726, Springer 2014, ISBN 978-3-662-44844-1 [contents] - 2013
- [j15]Faisal Kamiran, Indre Zliobaite, Toon Calders:
Quantifying explainable discrimination and removing illegal discrimination in automated decision making. Knowl. Inf. Syst. 35(3): 613-644 (2013) - [c42]Toon Calders:
Introduction to Pattern Mining. eBISS 2013: 1-32 - [c41]Elias Egho, Chedy Raïssi, Toon Calders, Thomas Bourquard, Nicolas Jay, Amedeo Napoli:
Vers une mesure de similarité pour les séquences complexes. EGC 2013: 335-340 - [c40]Toon Calders, Asim Karim, Faisal Kamiran, Wasif Ali, Xiangliang Zhang:
Controlling Attribute Effect in Linear Regression. ICDM 2013: 71-80 - [c39]Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders:
Predicting Current User Intent with Contextual Markov Models. ICDM Workshops 2013: 391-398 - [c38]Hoang Thanh Lam, Toon Calders, Jie Yang, Fabian Mörchen, Dmitriy Fradkin:
Zips: mining compressing sequential patterns in streams. IDEA@KDD 2013: 54-62 - [c37]Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders:
Discovering temporal hidden contexts in web sessions for user trail prediction. WWW (Companion Volume) 2013: 1067-1074 - [p8]Toon Calders, Bart Custers:
What Is Data Mining and How Does It Work? Discrimination and Privacy in the Information Society 2013: 27-42 - [p7]Toon Calders, Indre Zliobaite:
Why Unbiased Computational Processes Can Lead to Discriminative Decision Procedures. Discrimination and Privacy in the Information Society 2013: 43-57 - [p6]Faisal Kamiran, Toon Calders, Mykola Pechenizkiy:
Techniques for Discrimination-Free Predictive Models. Discrimination and Privacy in the Information Society 2013: 223-239 - [p5]Sicco Verwer, Toon Calders:
Introducing Positive Discrimination in Predictive Models. Discrimination and Privacy in the Information Society 2013: 255-270 - [p4]Bart Custers, Toon Calders, Tal Z. Zarsky, Bart W. Schermer:
The Way Forward. Discrimination and Privacy in the Information Society 2013: 341-357 - [e2]Bart Custers, Toon Calders, Bart W. Schermer, Tal Z. Zarsky:
Discrimination and Privacy in the Information Society - Data Mining and Profiling in Large Databases. Studies in Applied Philosophy, Epistemology and Rational Ethics 3, Springer 2013, ISBN 978-3-642-30486-6 [contents] - 2012
- [j14]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): 247-287 (2012) - [c36]Toon Calders:
Recent Developments in Pattern Mining. ALT 2012: 34 - [c35]Toon Calders:
Recent Developments in Pattern Mining. Discovery Science 2012: 2 - [c34]Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin, Toon Calders:
Mining Compressing Sequential Patterns. SDM 2012: 319-330 - 2011
- [j13]Toon Calders, Jan Ramon, Dries Van Dyck:
All normalized anti-monotonic overlap graph measures are bounded. Data Min. Knowl. Discov. 23(3): 503-548 (2011) - [j12]Faisal Kamiran, Toon Calders:
Data preprocessing techniques for classification without discrimination. Knowl. Inf. Syst. 33(1): 1-33 (2011) - [j11]Toon Calders, Mykola Pechenizkiy:
Introduction to the special section on educational data mining. SIGKDD Explor. 13(2): 3-6 (2011) - [c33]Indre Zliobaite, Faisal Kamiran, Toon Calders:
Handling Conditional Discrimination. ICDM 2011: 992-1001 - [c32]Hoang Thanh Lam, Toon Calders, Ninh Pham:
Online Discovery of Top-k Similar Motifs in Time Series Data. SDM 2011: 1004-1015 - [e1]Mykola Pechenizkiy, Toon Calders, Cristina Conati, Sebastián Ventura, Cristóbal Romero, John C. Stamper:
Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011. www.educationaldatamining.org 2011, ISBN 978-90-386-2537-9 [contents] - 2010
- [j10]Toon Calders, Sicco Verwer:
Three naive Bayes approaches for discrimination-free classification. Data Min. Knowl. Discov. 21(2): 277-292 (2010) - [c31]Toon Calders, Calin Garboni, Bart Goethals:
Approximation of Frequentness Probability of Itemsets in Uncertain Data. ICDM 2010: 749-754 - [c30]Faisal Kamiran, Toon Calders, Mykola Pechenizkiy:
Discrimination Aware Decision Tree Learning. ICDM 2010: 869-874 - [c29]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: 91-102 - [c28]Hoang Thanh Lam, Toon Calders:
Mining top-k frequent items in a data stream with flexible sliding windows. KDD 2010: 283-292 - [c27]Toon Calders, Calin Garboni, Bart Goethals:
Efficient Pattern Mining of Uncertain Data with Sampling. PAKDD (1) 2010: 480-487 - [p3]Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet:
A Practical Comparative Study Of Data Mining Query Languages. Inductive Databases and Constraint-Based Data Mining 2010: 59-77 - [p2]Hendrik Blockeel, Toon Calders, Élisa Fromont, Adriana Prado, Bart Goethals, Céline Robardet:
Inductive Querying with Virtual Mining Views. Inductive Databases and Constraint-Based Data Mining 2010: 265-287
2000 – 2009
- 2009
- [c26]Toon Calders, Faisal Kamiran, Mykola Pechenizkiy:
Building Classifiers with Independency Constraints. ICDM Workshops 2009: 13-18 - [c25]Toon Calders, Christian W. Günther, Mykola Pechenizkiy, Anne Rozinat:
Using minimum description length for process mining. SAC 2009: 1451-1455 - 2008
- [j9]Chedy Raïssi, Toon Calders, Pascal Poncelet:
Mining conjunctive sequential patterns. Data Min. Knowl. Discov. 17(1): 77-93 (2008) - [j8]Toon Calders, Nele Dexters, Bart Goethals:
Mining frequent items in a stream using flexible windows. Intell. Data Anal. 12(3):