De Bie, Tijl

40 publications

JAIR 2025 Maximal Combinations of Fairness Definitions MaryBeth Defrance, Tijl De Bie

NeurIPS 2025 Multiresolution Analysis and Statistical Thresholding on Dynamic Networks Raphael Romero, Tijl De Bie, Nick Heard, Alexander Modell

ECML-PKDD 2025 What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices Sander Noels, Guillaume Bied, Maarten Buyl, Alexander Rogiers, Yousra Fettach, Jefrey Lijffijt, Tijl De Bie

NeurIPS 2024 ABCFair: An Adaptable Benchmark Approach for Comparing Fairness Methods MaryBeth Defrance, Maarten Buyl, Tijl De Bie

MLJ 2024 Evaluating Feature Attribution Methods in the Image Domain Arne Gevaert, Axel-Jan Rousseau, Thijs Becker, Dirk Valkenborg, Tijl De Bie, Yvan Saeys

ICLR 2024 Fairret: A Framework for Differentiable Fairness Regularization Terms Maarten Buyl, MaryBeth Defrance, Tijl De Bie

ECML-PKDD 2024 KamerRaad: Enhancing Information Retrieval in Belgian National Politics Through Hierarchical Summarization and Conversational Interfaces Alexander Rogiers, Maarten Buyl, Bo Kang, Tijl De Bie

ECML-PKDD 2024 Pattern or Artifact? Interactively Exploring Embedding Quality with TRACE Edith Heiter, Liesbet Martens, Ruth Seurinck, Martin Guilliams, Tijl De Bie, Yvan Saeys, Jefrey Lijffijt

ECML-PKDD 2023 Automated Financial Analysis Using GPT-4 Sander Noels, Adriaan Merlevede, Andrew Fecheyr, Maarten Vanhalst, Nick Meerlaen, Sébastien Viaene, Tijl De Bie

AISTATS 2022 The Curse Revisited: When Are Distances Informative for the Ground Truth in Noisy High-Dimensional Data? Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys

LoG 2022 A Systematic Evaluation of Node Embedding Robustness Alexandru Cristian Mara, Jefrey Lijffijt, Stephan Günnemann, Tijl De Bie

NeurIPS 2022 Optimal Transport of Classifiers to Fairness Maarten Buyl, Tijl De Bie

ICLR 2022 Topologically Regularized Data Embeddings Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys

MLJ 2021 Conditional T-SNE: More Informative T-SNE Embeddings Bo Kang, Dario García-García, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie

ECML-PKDD 2021 The KL-Divergence Between a Graph Model and Its Fair I-Projection as a Fairness Regularizer Maarten Buyl, Tijl De Bie

ICML 2020 DeBayes: A Bayesian Method for Debiasing Network Embeddings Maarten Buyl, Tijl De Bie

JMLR 2020 Mining Topological Structure in Graphs Through Forest Representations Robin Vandaele, Yvan Saeys, Tijl De Bie

ICLR 2019 Conditional Network Embeddings Bo Kang, Jefrey Lijffijt, Tijl De Bie

ECML-PKDD 2018 Local Topological Data Analysis to Uncover the Global Structure of Data Approaching Graph-Structured Topologies Robin Vandaele, Tijl De Bie, Yvan Saeys

ECML-PKDD 2018 Ordinal Label Proportions Rafael Poyiadzi, Raúl Santos-Rodríguez, Tijl De Bie

ECML-PKDD 2017 Subjectively Interesting Connecting Trees Florian Adriaens, Jefrey Lijffijt, Tijl De Bie

ECML-PKDD 2016 A Tool for Subjective and Interactive Visual Data Exploration Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie

ECML-PKDD 2016 Interactive Visual Data Exploration with Subjective Feedback Kai Puolamäki, Bo Kang, Jefrey Lijffijt, Tijl De Bie

MLJ 2016 Subjective Interestingness of Subgraph Patterns Matthijs van Leeuwen, Tijl De Bie, Eirini Spyropoulou, Cédric Mesnage

ECML-PKDD 2015 Interactively Exploring Supply and Demand in the UK Independent Music Scene Matt McVicar, Cédric Mesnage, Jefrey Lijffijt, Tijl De Bie

MLJ 2015 Subjectively Interesting Alternative Clusterings Kleanthis-Nikolaos Kontonasios, Tijl De Bie

ECML-PKDD 2013 A Theoretical Framework for Exploratory Data Mining: Recent Insights and Challenges Ahead Tijl De Bie, Eirini Spyropoulou

MLJ 2013 Guest Editors' Introduction: Special Issue of Selected Papers from ECML-PKDD 2012 Tijl De Bie, Peter A. Flach

ECML-PKDD 2013 Maximum Entropy Models for Iteratively Identifying Subjectively Interesting Structure in Real-Valued Data Kleanthis-Nikolaos Kontonasios, Jilles Vreeken, Tijl De Bie

ECML-PKDD 2012 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I Peter A. Flach, Tijl De Bie, Nello Cristianini

ECML-PKDD 2012 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II Peter A. Flach, Tijl De Bie, Nello Cristianini

ECML-PKDD 2011 Celebrity Watch: Browsing News Content by Exploiting Social Intelligence Omar Ali, Ilias N. Flaounas, Tijl De Bie, Nello Cristianini

ECML-PKDD 2010 Detecting Events in a Million New York Times Articles Tristan Snowsill, Ilias N. Flaounas, Tijl De Bie, Nello Cristianini

ECML-PKDD 2010 Flu Detector - Tracking Epidemics on Twitter Vasileios Lampos, Tijl De Bie, Nello Cristianini

ECML-PKDD 2009 Found in Translation Marco Turchi, Ilias N. Flaounas, Omar Ali, Tijl De Bie, Tristan Snowsill, Nello Cristianini

ECML-PKDD 2009 Inference and Validation of Networks Ilias N. Flaounas, Marco Turchi, Tijl De Bie, Nello Cristianini

JMLR 2008 Magic Moments for Structured Output Prediction Elisa Ricci, Tijl De Bie, Nello Cristianini

JMLR 2006 Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems Tijl De Bie, Nello Cristianini

ECML-PKDD 2006 The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces Alexander N. Dolia, Tijl De Bie, Christopher J. Harris, John Shawe-Taylor, D. M. Titterington

ALT 2003 Efficiently Learning the Metric with Side-Information Tijl De Bie, Michinari Momma, Nello Cristianini