Toon Calders

Orcid: 0000-0002-4943-6978

Affiliations:
  • Eindhoven University of Technology, Netherlands


According to our database1, Toon Calders authored at least 132 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks.
J. Intell. Inf. Syst., October, 2024

PreCoF: counterfactual explanations for fairness.
Mach. Learn., May, 2024

"Patriarchy Hurts Men Too." Does Your Model Agree? A Discussion on Fairness Assumptions.
CoRR, 2024

Cherry on the Cake: Fairness is NOT an Optimization Problem.
CoRR, 2024

Beyond Accuracy-Fairness: Stop evaluating bias mitigation methods solely on between-group metrics.
CoRR, 2024

FairFlow: An Automated Approach to Model-Based Counterfactual Data Augmentation for NLP.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Interpretable and Fair Mechanisms for Abstaining Classifiers.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

How a socio-technical approach to AI auditing can change how we understand and measure fairness in machine learning systems.
Proceedings of the 1st Workshop on AI bias: Measurements, 2024

2023
How to be fair? A study of label and selection bias.
Mach. Learn., December, 2023

Model-based Counterfactual Generator for Gender Bias Mitigation.
CoRR, 2023

Real-life Performance of Fairness Interventions - Introducing A New Benchmarking Dataset for Fair ML.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Functional Requirements for Interactive Bias-Audit Tools.
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

Explainability Methods to Detect and Measure Discrimination in Machine Learning Models.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

How Far Can It Go? On Intrinsic Gender Bias Mitigation for Text Classification.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
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., 2022

RangeGrad: Explaining Neural Networks by Measuring Uncertainty Through Bound Propagation.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Text Style Transfer for Bias Mitigation using Masked Language Modeling.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2022

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
Introduction to The Special Section on Bias and Fairness in AI.
SIGKDD Explor., 2021

Roman Urdu toxic comment classification.
Lang. Resour. Evaluation, 2021

Distributed mining of convoys in large scale datasets.
GeoInformatica, 2021

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models.
CoRR, 2021

Efficient Permutation Testing for Significant Sequential Patterns.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Learning a Fair Distance Function for Situation Testing.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Incremental Predictive Process Monitoring: The Next Activity Case.
Proceedings of the Business Process Management - 19th International Conference, 2021

Finding Geo-Social Cohorts in Location-Based Social Networks.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020
Keeping the Data Lake in Form: Proximity Mining for Pre-Filtering Schema Matching.
ACM Trans. Inf. Syst., 2020

Bayesian Network Based Predictions of Business Processes.
Proceedings of the Business Process Management Forum, 2020

2019
k/2-hop: Fast Mining of Convoy Patterns With Effective Pruning.
Proc. VLDB Endow., 2019

Effective and efficient location influence mining in location-based social networks.
Knowl. Inf. Syst., 2019

An anomaly detection technique for business processes based on extended dynamic bayesian networks.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Keeping the Data Lake in Form: DS-kNN Datasets Categorization Using Proximity Mining.
Proceedings of the Model and Data Engineering - 9th International Conference, 2019

Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks.
Proceedings of the Discovery Science - 22nd International Conference, 2019

ACD2: A Tool to Interactively Explore Business Process Logs.
Proceedings of the Dissertation Award, 2019

2018
2SCENT: An Efficient Algorithm to Enumerate All Simple Temporal Cycles.
Proc. VLDB Endow., 2018

A novel hierarchical-based framework for upper bound computation of graph edit distance.
Pattern Recognit., 2018

Introduction to the special issue on discovery science.
Mach. Learn., 2018

Detecting and Explaining Drifts in Yearly Grant Applications.
CoRR, 2018

Extending Dynamic Bayesian Networks for Anomaly Detection in Complex Logs.
CoRR, 2018

Predicting Visitors Using Location-Based Social Networks.
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018

2017
Risk detection and prediction from indoor tracking data.
ACM SIGSPATIAL Special, 2017

Location Influence in Location-based Social Networks.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

DS-Prox: Dataset Proximity Mining for Governing the Data Lake.
Proceedings of the Similarity Search and Applications - 10th International Conference, 2017

Activity-Driven Influence Maximization in Social Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Finding simple temporal cycles in an interaction network.
Proceedings of the Workshop on Large-Scale Time Dependent Graphs (TD-LSG 2017) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), 2017

Information Propagation in Interaction Networks.
Proceedings of the 20th International Conference on Extending Database Technology, 2017

Three Big Data Tools for a Data Scientist's Toolbox.
Proceedings of the Business Intelligence and Big Data - 7th European Summer School, 2017

IMaxer: A Unified System for Evaluating Influence Maximization in Location-based Social Networks.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Cost Model for Pregel on GraphX.
Proceedings of the Advances in Databases and Information Systems, 2017

2016
PROMETHEE is Not Quadratic: An O(qn log(n)) Algorithm.
CoRR, 2016

BFST_ED: A Novel Upper Bound Computation Framework for the Graph Edit Distance.
Proceedings of the Similarity Search and Applications - 9th International Conference, 2016

Distributed Convoy Pattern Mining.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Online Risk Prediction for Indoor Moving Objects.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Towards Information Profiling: Data Lake Content Metadata Management.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Fairness-Aware Data Mining.
Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

H-WorD: Supporting Job Scheduling in Hadoop with Workload-Driven Data Redistribution.
Proceedings of the Advances in Databases and Information Systems, 2016

2015
On measuring similarity for sequences of itemsets.
Data Min. Knowl. Discov., 2015

Effects of Evolutionary Linguistics in Text Classification.
Proceedings of the Statistical Language and Speech Processing, 2015

Who Are My Ancestors? Retrieving Family Relationships from Historical Texts.
Proceedings of the Information Retrieval, 2015

HiDER: Query-Driven Entity Resolution for Historical Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Maintaining Sliding-Window Neighborhood Profiles in Interaction Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Mining Risk Factors in RFID Baggage Tracking Data.
Proceedings of the 16th IEEE International Conference on Mobile Data Management, 2015

Towards distributed convoy pattern mining.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

Classification of Historical Notary Acts with Noisy Labels.
Proceedings of the Advances in Information Retrieval, 2015

Multi-Source Entity Resolution for Genealogical Data.
Proceedings of the Population Reconstruction, 2015

2014
Finding Robust Itemsets under Subsampling.
ACM Trans. Database Syst., 2014

Mining Compressing Sequential Patterns.
Stat. Anal. Data Min., 2014

Guest Editors' introduction: special issue of the ECML/PKDD 2014 journal track.
Mach. Learn., 2014

Mining frequent itemsets in a stream.
Inf. Syst., 2014

A Hybrid Disambiguation Measure for Inaccurate Cultural Heritage Data.
Proceedings of the 8th Workshop on Language Technology for Cultural Heritage, 2014

2013
Introducing Positive Discrimination in Predictive Models.
Proceedings of the Discrimination and Privacy in the Information Society, 2013

Techniques for Discrimination-Free Predictive Models.
Proceedings of the Discrimination and Privacy in the Information Society, 2013

The Way Forward.
Proceedings of the Discrimination and Privacy in the Information Society, 2013

Why Unbiased Computational Processes Can Lead to Discriminative Decision Procedures.
Proceedings of the Discrimination and Privacy in the Information Society, 2013

What Is Data Mining and How Does It Work?
Proceedings of the Discrimination and Privacy in the Information Society, 2013

Quantifying explainable discrimination and removing illegal discrimination in automated decision making.
Knowl. Inf. Syst., 2013

Discovering temporal hidden contexts in web sessions for user trail prediction.
Proceedings of the 22nd International World Wide Web Conference, 2013

Zips: mining compressing sequential patterns in streams.
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 2013

Predicting Current User Intent with Contextual Markov Models.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Controlling Attribute Effect in Linear Regression.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Vers une mesure de similarité pour les séquences complexes.
Proceedings of the Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier, 2013

Introduction to Pattern Mining.
Proceedings of the Business Intelligence - Third European Summer School, 2013

2012
An inductive database system based on virtual mining views.
Data Min. Knowl. Discov., 2012

Recent Developments in Pattern Mining.
Proceedings of the Algorithmic Learning Theory - 23rd International Conference, 2012

2011
Introduction to the special section on educational data mining.
SIGKDD Explor., 2011

Data preprocessing techniques for classification without discrimination.
Knowl. Inf. Syst., 2011

All normalized anti-monotonic overlap graph measures are bounded.
Data Min. Knowl. Discov., 2011

Online Discovery of Top-k Similar Motifs in Time Series Data.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Handling Conditional Discrimination.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Three naive Bayes approaches for discrimination-free classification.
Data Min. Knowl. Discov., 2010

Efficient Pattern Mining of Uncertain Data with Sampling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Mining top-k frequent items in a data stream with flexible sliding windows.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

InfraWatch: Data Management of Large Systems for Monitoring Infrastructural Performance.
Proceedings of the Advances in Intelligent Data Analysis IX, 9th International Symposium, 2010

Discrimination Aware Decision Tree Learning.
Proceedings of the ICDM 2010, 2010

Approximation of Frequentness Probability of Itemsets in Uncertain Data.
Proceedings of the ICDM 2010, 2010

Inductive Querying with Virtual Mining Views.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

A Practical Comparative Study Of Data Mining Query Languages.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

2009
Using minimum description length for process mining.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Building Classifiers with Independency Constraints.
Proceedings of the ICDM Workshops 2009, 2009

2008
Itemset frequency satisfiability: Complexity and axiomatization.
Theor. Comput. Sci., 2008

Mining frequent items in a stream using flexible windows.
Intell. Data Anal., 2008

Mining conjunctive sequential patterns.
Data Min. Knowl. Discov., 2008

An inductive database prototype based on virtual mining views.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Anti-monotonic Overlap-Graph Support Measures.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Mining Views: Database Views for Data Mining.
Proceedings of the 24th International Conference on Data Engineering, 2008

Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study.
Proceedings of the Educational Data Mining 2008, 2008

2007
A new support measure for items in streams.
Monde des Util. Anal. Données, 2007

Non-derivable itemset mining.
Data Min. Knowl. Discov., 2007

The complexity of satisfying constraints on databases of transactions.
Acta Informatica, 2007

Mining itemsets in the presence of missing values.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

Efficient AUC Optimization for Classification.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Mining Frequent Itemsets in a Stream.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Workshop on Educational Data Mining @ ICALT07 (EDM@ICALT07).
Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, 2007

2006
Expressive power of an algebra for data mining.
ACM Trans. Database Syst., 2006

Analyzing workflows implied by instance-dependent access rules.
Proceedings of the Twenty-Fifth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2006

Integrating Pattern Mining in Relational Databases.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Mining rank-correlated sets of numerical attributes.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005
Depth-First Non-Derivable Itemset Mining.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Quick Inclusion-Exclusion.
Proceedings of the Knowledge Discovery in Inductive Databases, 4th International Workshop, 2005

Applying Webmining Techniques to Execution Traces to Support the Program Comprehension Process.
Proceedings of the 9th European Conference on Software Maintenance and Reengineering (CSMR 2005), 2005

2004
Computational Complexity of Itemset Frequency Satisfiability.
Proceedings of the Twenty-third ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2004

Theoretical Bounds on the Size of Condensed Representations.
Proceedings of the KDID 2004, 2004

A Survey on Condensed Representations for Frequent Sets.
Proceedings of the Constraint-Based Mining and Inductive Databases, 2004

Deducing Bounds on the Support of Itemsets.
Proceedings of the Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries, 2004

2003
Axiomatization of frequent itemsets.
Theor. Comput. Sci., 2003

Minimal <i>k</i>-Free Representations of Frequent Sets.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

2002
Searching for dependencies at multiple abstraction levels.
ACM Trans. Database Syst., 2002

Mining All Non-derivable Frequent Itemsets.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

2001
Axiomatization of Frequent Sets.
Proceedings of the Database Theory, 2001

On Monotone Data Mining Languages.
Proceedings of the Database Programming Languages, 8th International Workshop, 2001

2000
Mining Frequent Binary Expressions.
Proceedings of the Data Warehousing and Knowledge Discovery, 2000

1999
Discovering Roll-Up Dependencies.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999


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