Publications

2023

Decision trees: From efficient prediction to responsible AI

Hendrik Blockeel, Laurens Devos, Benoît Frenay, Geraldin Nanfack, Siegfried Nijssen

Frontiers in Artificial Intelligence 2023
un-xPass: Measuring Soccer Player’s Creativity

Pieter Robberechts, Maaike Van Roy, Jesse Davis

ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2023 (PDF)
Safe Reinforcement learning via Probabilistic Logic Shields

Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt

Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI) 2023 (PDF)
A Markov Framework for Learning and Reasoning About Strategies in Professional Soccer

Maaike Van Roy, Pieter Robberechts, Wen-Chi Yang, Luc De Raedt, Jesse Davis:

Journal Of Artificial Intelligence Research 2023
How Far Can It Go? On Intrinsic Gender Bias Mitigation for Text Classification

Ewoe Tokpo, Pieter Delobelle, Bettina, Toon Calders

The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL) 2023 (PDF)
DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint Satisfaction

Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel

VeriLearn Workshop at the the 26th European Conference on Artificial Intelligence 2023 (PDF)

2022

Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming

Kshitij Goyal, Wannes Meert, Hendrik Blockeel, Elia Van Wolputte, Koen Vanderstraeten, Wouter Pijpops, Kurt Jaspers

BNAIC/BENELEARN 2022
DataDebugging: Enhancing trust in soccer action-value models by contextualization

Maaike Van Roy, Jesse Davis

International Symposium on Computer Science in Sport 2022 (PDF)
RobBERTje: A Distilled Dutch BERT Model

Pieter Delobelle, Thomas Winters, Bettina Berendt

Computational Linguistics in the Netherlands Journal 2022
From linear temporal logic and limit-deterministic Büchi automata to deterministic parity automata

Javier Esparza, Jan Křetínský, Jean-François Raskin, Salomon Sickert

International Journal on Software Tools for Technology Transfer 2022 (PDF)
Constraint Enforcement on Decision Trees: a Survey

Geraldin Nanfack, Paul Temple, Benoît Frenay

ACM Computing Surveys journal 2022 (PDF)
A Meta-Model for Product Configuration Ontologies

Ebrahim Khalil Abbasi, Tony Leclercq and Patrick Heymans

26th ACM International Systems And Software Product Line Conference (SPLC) 2022
The AI Act Proposal: Towards the next transparency fallacy? Why AI regulation should be based on principles based on how algorithmic discrimination works

Bettina Berendt

BMJV & Rostalski, F. (Eds.), Künstliche Intelligenz 2022
SaDe: Learning Models that Provably Satisfy Domain Constraints

Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2022 (PDF)
Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-Trained Language Models.

Pieter Delobelle, Ewoenam Tokpo, Toon Calders, Bettina Berendt

Annual Conference of the North American Chapter of the Association for Computational Linguistics(NAACL) 2022
Algorithmic Tools in Public Employment Services: Towards a Jobseeker-Centric Perspective

Kristen M. Scott, Sonja Mei Wang, Milagros Miceli, Pieter Delobelle, Karolina Sztandar-Sztanderska, Bettina Berendt.

ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT) 2022
FairDistillation: Mitigating Stereotyping in Language Models

Delobelle, Pieter, and Bettina Berendt

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022
Looking Beyond the Past: Analyzing the Intrinsic Playing Style of Soccer Teams

Jeroen Clijmans, Maaike Van Roy, Jesse Davis

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2022 (PDF)
Evaluating Sports Analytics Models: Challenges, Approaches, and Lessons Learned

Jesse Davis, Lotte Bransen, Laurens Devos, Wannes Meert, Pieter Robberechts, Jan Van Haaren, Maaike Van Roy

AI Evaluation Beyond Metrics Workshop at IJCAI 2022 (PDF)
Learning Optimal Behavior in Environments with Non-Stationary Observations

Gavin Rens, Ilio Boone

Intlernational Conference on Artificial Intelligence and Agents (ICAART) 2022 (PDF)
Parameter Learning in ProbLog with Annotated Disjunctions

Wen-Chi Yang, Arcchit Jain, Luc De Raedt, Wannes Meert

Symposium on Intelligent Data Analysis (IDA) 2022 (PDF)
Lifted Model Checking for Relational MDPs

Wen-Chi Yang, Jean-François Raskin, Luc De Raedt

Machine Learning Journal 2022 (PDF)
Algorithmic discrimination

Bettina Berendt

Encyclopedia of Law and Data Science. Edward Elgar Publishing Ltd 2022 (PDF)

2021

Stackelberg-Pareto Synthesis

Véronique Bruyère, Jean François Raskin, Clément Tamines

32nd International Conference on Concurrency Theory (CONCUR) 2021 (PDF)
On the existence of weak subgame perfect equilibria

Véronique Bruyèrea, Stéphane Le Roux, ArnoPaulyb, Jean-FrançoisRaskinb

Information and Computation 2021 (PDF)
Safe Learning for Near-Optimal Scheduling

Damien Busatto-Gaston, Debraj Chakraborty, Shibashis Guha, Guillermo A. Pérez, Jean-François Raskin

International Conference on Quantitative Evaluation of Systems (QEST) 2021 (PDF)
RobBERTje: A Distilled Dutch BERT Model

Pieter Delobelle, Thomas Winters, Bettina Berendt

Computational Linguistics in the Netherlands (CLIN) 2021 (PDF)
Optimally Disrupting Opponent Build-ups

Maaike Van Roy, Pieter Robberechts, Jesse Davis

Proceedings of the 2021 StatsBomb Conference 2021 (PDF)
Boundary-Based Fairness Constraints in Decision Trees and Random Forests

Geraldin Nanfack, Valentin Delchevalerie, Benoît Frenay

The 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2021 (PDF)
VaryMinions: leveraging RNNs to identify variants in event logs

Sophie Fortz, Paul Temple, Xavier Devroey, Patrick Heymans, Gilles Perrouin

Workshop on Machine Learning Techniques for Software Quality Evolution (MaLTeSQuE) 2021 (PDF)
Global Explanations with Decision Rules: a Co-learning Approach

Geraldin Nanfack, Paul Temple, Benoît Frenay

Conference on Uncertainty in Artificial Intelligence (UAI) 2021 (PDF)
A Take on Obfuscation with Ethical Adversaries

Pieter Delobelle, Paul Temple, Gilles Perrouin, Benoît Frenay, Patrick Heymans, Bettina Berendt

Workshop on Obfuscation 2021 (PDF)
Survival of the Wittiest: Evolving Satirical Headlines with Language Models

Thomas Winters, Pieter Delobelle

International conference in computational creativity (ICCC) 2021 (PDF)
Learning to Rank Generated Portmanteaus

Lara Pollet, Thomas Winters, Pieter Delobelle

International conference in computational creativity (ICCC) 2021 (PDF)
Time to Question if We Should: Data-Driven and Algorithmic Tools in Public Employment Service

Pieter Delobelle, Kristen M. Scott, Sonja Mei Wang, Milagros Miceli, David Hartmann, Tianling Yang, Elena Murasso, Karolina Sztandar-Sztanderska, Bettina Berendt

FEAST (ECML PKDD workshop) 2021 (PDF)
Learning a Markov Model for evaluating Soccer Decision Making

Maaike Van Roy, Pieter Robberechts, Wen-Chi Yang, Luc De Raedt, Jesse Davis

RL4RealLife workshop at ICML 2021 (PDF)
Leaving Goals on the Pitch: Evaluating Decision Making in Soccer

Maaike Van Roy, Pieter Robberechts, Wen-Chi Yang, Luc De Raedt, Jesse Davis

MIT Sloan Sports Analytics Conference 2021 (PDF)
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning

Pieter Delobelle, Paul Temple, Gilles Perrouin, Benoît Frenay, Patrick Heymans, Bettina Berendt

Special Issue with SIGKDD Explorations 2021 (PDF)
RobBERT: a Dutch RoBERTa-based Language Model

Pieter Delobelle, Thomas Winters, Bettina Berendt

BNAIC/BENELEARN 2021 (PDF)
Analyzing Learned Markov Decision Processes using Model Checking for Providing Tactical Advice in Professional Soccer

Maaike Van Roy, Wen-Chi Yang, Luc De Raedt, Jesse Davis

AI for Sports Analytics (AISA) Workshop (IJCAI) 2021 (PDF)
Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium Using Multilingual BERT

Kristen Scott, Pieter Delobelle, Bettina Berendt

Computational Linguistics in The Netherlands (CLIN 31) 2021 (PDF)
Verifying tree ensembles by reasoning about potential instances

Laurens Devos, Wannes Meert, Jesse Davis

SIAM International Conference on Data Mining 2021 (PDF)
Versatile Verification of Tree Ensembles

Laurens Devos, Wannes Meert, Jesse Davis

International Conference on Machine Learning (ICML) 2021 (PDF)
Online Learning of Non-Markovian Reward Models

Gavin Rens, Jean-François Raskin, Raphaël Reynouard, Giuseppe Marra

International Conference on Agents and Artificial Intelligence 2021 (PDF)

2020

The Complexity of Subgame Perfect Equilibria in Quantitative Reachability Games

Thomas Brihaye, Véronique Bruyère, Aline Goeminne, Jean-François Raskin, Marie van den Bogaard

Logical Methods in Computer Science 2020
The Adversarial Stackelberg Value in Quantitative Games

Emanuel Filiot, Rafaella Gentilini, Jean François Raskin

47th International Colloquium on Automata, Languages, and Programming (ICALP) 2020 (PDF)
A Pattern Logic for Automata with Outputs

Emmanuel Filiot; Nicolas Mazzocchi, Jean François Raskin

International Journal of Foundations of Computer Science 2020
Weighted Transducers for Robustness Verification

Emmanuel Filiot, Nicolas Mazzocchi, Jean-François Raskin, Sriram Sankaranarayanan, Ashutosh Trivedi

31st International Conference on Concurrency Theory (CONCUR) 2020 (PDF)
Reputation-driven Decision-making in Networks of Stochastic Agents

David Maoujoud, Gavin Rens

BNAIC/BENELEARN 2020 (PDF)
Monte Carlo Tree Search Guided by Symbolic Advice for MDPs

Damien Busatto-Gaston, Debraj Chakraborty, Jean-François Raskin

31st International Conference on Concurrency Theory (CONCUR) 2020 (PDF)
Mixing Probabilistic and non-Probabilistic Objectives in Markov Decision Processes

Raphaël Berthon, Shibashis Guha, Jean François Raskin

LICS: Proceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science 2020 (PDF)
Dutch Humor Detection by Generating Negative Examples

Thomas Winters, Pieter Delobelle

BNAIC/BENELEARN 2020 (PDF)
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning

Pieter Delobelle, Paul Temple, Gilles Perrouin, Benoît Frenay, Patrick Heymans, Bettina Berendt

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020 (PDF)
Empirical Assessment of Generating Adversarial Configurations for Software Product Lines

Paul Temple, Gilles Perrouin, Mathieu Acher, Battista Biggio, Jean-Marc Jezequel, Fabio Roli

Empirical Software Engineering journal 2020 (PDF)
RobBERT: a Dutch RoBERTa-based Language Model

Pieter Delobelle, Thomas Winters, Bettina Berendt

EMNLP conference 2020 (PDF)
Deconstructing FAT: using memories to collectively explore implicit assumptions, values and context in practices of debiasing and discrimination-awareness

Doris Allhutter, Bettina Berendt

FAT* '20: Conference on Fairness, Accountability, and Transparency 2020 (PDF)
An SMT-Based Concolic Testing Tool for Logic Programs

Sophie Fortz, Fred Mesnard, Etienne Payet, Gilles Perrouin, Wim Vanhoof, German Vidal

International Symposium on Functional and Logic Programming - Akita University 2020 (PDF)
Machine learning and configurable systems a gentle introduction

Juliana Alves Pereira, Hugo Martin, Paul Temple, Mathieu Acher

23rd International Systems and Software Product Line Conference (SPLC- ) 2020 (PDF)
Explaining t-SNE Embeddings Locally by Adapting LIME

Adrien Bibal, Viet Minh Vu, Geraldin Nanfack, Benoît Frenay

28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning: ESANN 2020
Fast gradient boosting decision trees with bit-level data structures

Laurens Devos, Wannes Meert, Jesse Davis

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020 (PDF)
SoccerMix Representing Soccer Actions with Mixture Models

Tom Decroos, Maaike Van Roy, Jesse Davis

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020 (PDF)
Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection

Vincent Vercruyssen, Wannes Meert, Jesse Davis

Thirty-Fourth AAAI Conference on Artificial Intelligence 2020 (PDF)
Valuing On-the-Ball Actions in Soccer: A Critical Comparison of xT and VAEP

Maaike Van Roy, Pieter Robberechts, Tom Decroos, Jesse Davis

The AAAI-20 Workshop on Artifical Intelligence in Team Sports 2020 (PDF)
(De)constructing ethics for autonomous cars: A case study of Ethics Pen-Testing towards "AI for the Common Good"

Bettina Berendt

International Review of Information Ethics 2020 (PDF)

2019

Energy Mean-Payoff Games

Véronique Bruyère, Quentin Hautem, Mickael Randour, Jean-François Raskin

30th International Conference on Concurrency Theory (CONCUR 2019) 2019 (PDF)
The Complexity of Subgame Perfect Equilibria in Quantitative Reachability Games

Thomas Brihaye, Véronique Bruyère, Aline Goeminne, Jean-François Raskin, Marie van den Bogaard

30th International Conference on Concurrency Theory (CONCUR) 2019 (PDF)
Expected Window Mean-Payoff

Benjamin Bordais, Shibashis Guha, Jean François Raskin

39th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS ) 2019 (PDF)
Computational Ad Hominem Detection

Pieter Delobelle, Murilo Cunha, Eric Massip Cano, Jeroen Peperkamp, Bettina Berendt

57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop. 2019 (PDF)
Time to Take Emoji Seriously: They Vastly Improve Casual Conversational Models

Pieter Delobelle, Bettina Berendt

BNAIC/BENELEARN 2019 (PDF)
Fast Distance-based Anomaly Detection in Images Using an Inception-like Autoencoder

Natasa Sarafijanovic-Djukic, Jesse Davis

Proceedings of the 22nd International Conference on Discovery Science 2019 (PDF)
Feature Interactions in XGBoost

Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel

AIMLAI-XKDD-ECMLPKDD workshop in a conference 2019 (PDF)
A Decade of Featured Transition Systems

Maxime Cordy, Xavier Devroey, Axel Legay, Gilles Perrouin, Andreas Classen, Patrick Heymans, Pierre-Yves Schobbens, Jean-François Raskin

Chapter in a book: From Software Engineering to Formal Methods and Tools, and Back: Essays Dedicated to Stefania Gnesi on the Occasion of Her 65th Birthday (p. 285-312). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 2019 (PDF)
Customizing Adversarial Machine Learning to test Deep Learning techniques

Paul Temple, Gilles Perrouin, Benoît Frenay, Pierre-Yves Schobbens

1st Workshop on Deep Learning <=> Testing - Montréal, Canada 2019 (PDF)
Towards Learning-Aided Configuration in 3D Printing: Feasibility Study and Application to Defect Prediction

Benoit Amand, Maxime Cordy, Patrick Heymans, Mathieu Acher, Paul Temple, Jean-Marc Jezequel

13th International Workshop on Variability Modelling of Software-Intensive Systems (VAMOS '19), Leuven, Belgium 2019 (PDF)
Uniform Sampling of SAT Solutions for Configurable Systems: Are We There Yet?

Quentin Plazar, Mathieu Acher, Gilles Perrouin, Xavier Devroey, Maxime Cordy

12th IEEE Conference on Software Testing, Validation and Verification (ICST), Xi'an, China 2019 (PDF)
Multifaceted automated analyses for variability-intensive embedded systems

Sami Lazreg, Maxime Cordy, Philippe Collet, Patrick Heymans, Sébastien Mosser

41st International Conference on Software Engineering (ICSE '19), Montreal, Canada 2019 (PDF)
Towards Quality Assurance of Software Product Lines with Adversarial Configurations

Paul Temple, Mathieu Acher, Gilles Perrouin, Battista Biggio, Jean-Marc Jezequel, Fabio Roli

23rd International Systems and Software Product Line Conference - Volume A(SPLC '19), Paris, France 2019 (PDF)
AI for the Common Good?! Pitfalls, challenges, and Ethics Pen-Testing

Bettina Berendt

Paladyn, Journal of Behavioral Robotics 2019 (PDF), (PDF)

2018

Learning-Based Mean-Payoff Optimization in an Unknown MDP under Omega-Regular Constraints

Jan Křetínský, Guillermo A. Pérez, Jean-François Raskin

29th International Conference on Concurrency Theory (CONCUR) 2018 (PDF)
Safe and Optimal Scheduling for Hard and Soft Tasks

Gilles Geeraerts, Shibashis Guha, Jean-François Raskin

38th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS) 2018 (PDF)

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