2025
Users' needs in interactive bias auditing tools introducing a requirement checklist and evaluating existing tools.
AI Ethics, February, 2025
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
A Fair Selective Classifier to Put Humans in the Loop.
Proceedings of the 3rd European Workshop on Algorithmic Fairness, 2024
How to Be Fair? a Discussion and Future Perspectives.
Proceedings of the 3rd European Workshop on Algorithmic Fairness, 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
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