| 2024 | AIED | Federated Learning Analytics: Investigating the Privacy-Performance Trade-Off in Machine Learning for Educational Analytics. | Max van Haastrecht, Matthieu J. S. Brinkhuis, Marco Spruit |
| 2023 | LAK | Embracing Trustworthiness and Authenticity in the Validation of Learning Analytics Systems. | Max van Haastrecht, Matthieu J. S. Brinkhuis, Jessica Peichl, Bernd Remmele, Marco Spruit |
| 2021 | CaiSE | All that Glitters Is Not Gold - Towards Process Discovery Techniques with Guarantees. | Jan Martijn E. M. van der Werf, Artem Polyvyanyy, Bart R. van Wensveen, Matthieu J. S. Brinkhuis, Hajo A. Reijers |
| 2021 | EDM | Speeding up without Loss of Accuracy: Item Position Effects on Examinees' Performance in University Exams. | Leonardo J. Vida, Maria Bolsinova, Matthieu J. S. Brinkhuis |
| 2020 | LAK | Constructing and predicting school advice for academic achievement: a comparison of item response theory and machine learning techniques. | Koen Niemeijer, Remco Feskens, Georg Krempl, Jesse Koops, Matthieu J. S. Brinkhuis |
| 2019 | ICSA | Evaluating Design Rationale in Architecture. | Pim De Jong, Jan Martijn E. M. van der Werf, Marlies van Steenbergen, Floris Bex, Matthieu J. S. Brinkhuis |