| Debayes: a Bayesian Method for Debiasing Network Embeddings M Buyl, T De Bie International Conference on Machine Learning, 1220-1229, 2020 | 74 | 2020 |
| The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer M Buyl, T De Bie Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 25 | 2021 |
| Tackling algorithmic disability discrimination in the hiring process: An ethical, legal and technical analysis M Buyl, C Cociancig, C Frattone, N Roekens Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 17 | 2022 |
| Inherent Limitations of AI Fairness M Buyl, T De Bie Communications of the ACM 67 (2), 48-55, 2024 | 11 | 2024 |
| Optimal Transport of Classifiers to Fairness M Buyl, T De Bie Advances in Neural Information Processing Systems 35, 33728–33740, 2022 | 8 | 2022 |
| RankFormer: Listwise learning-to-rank using listwide labels M Buyl, P Missault, PA Sondag Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 2 | 2023 |
| KamerRaad: Enhancing Information Retrieval in Belgian National Politics through Hierarchical Summarization and Conversational Interfaces A Rogiers, M Buyl, B Kang, T De Bie arXiv preprint arXiv:2404.17597, 2024 | | 2024 |
| Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms R Romero, M Buyl, T De Bie, J Lijffijt Applied Sciences 14 (8), 3516, 2024 | | 2024 |
| fairret: a Framework for Differentiable Fairness Regularization Terms M Buyl, MB Defrance, T De Bie International Conference on Learning Representations, 2024 | | 2024 |
| Fairness Regularization in Machine Learning: Methods and Limitations M Buyl Ghent University, 2023 | | 2023 |
| Memory-enhanced Reinforcement Learning for Maze Exploration M Buyl Ghent University, 2019 | | 2019 |
Tijl De BieFull Professor, Ghent UniversityVerified email at ugent.be
