Detection of Student Modelling Anomalies. - Sergey A. Sosnovsky; Laurens Müter; Marc Valkenier; Matthieu J. S. Brinkhuis; Abe D. Hofman (EC-TEL, 2018)

Contrastive Explanations with Local Foil Trees. - Jasper van der Waa; Marcel Robeer; Jurriaan van Diggelen; Matthieu J. S. Brinkhuis; Mark A. Neerincx (CoRR, 2018)

Learning As It Happens: A Decade of Analyzing and Shaping a Large-Scale Online Learning System. - Matthieu J. S. Brinkhuis; Alexander O. Savi; Abe D. Hofman; Frederik Coomans; Han L. J. van der Maas; Gunter K. J. Maris (J. Learn. Anal., 2018)

Evaluating Design Rationale in Architecture. - Pim De Jong; Jan Martijn E. M. van der Werf; Marlies van Steenbergen; Floris Bex; Matthieu J. S. Brinkhuis (ICSA Companion, 2019)

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 (LAK, 2020)

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 (CAiSE, 2021)

Pillars of Privacy: Identifying Core Theory in a Network Analysis of Privacy Literature. - Friso W. van Dijk; Marco Spruit; Chaïm van Toledo; Matthieu J. S. Brinkhuis (ECIS, 2021)

Speeding up without Loss of Accuracy: Item Position Effects on Examinees' Performance in University Exams. - Leonardo J. Vida; Maria Bolsinova; Matthieu J. S. Brinkhuis (EDM, 2021)

SYMBALS: A Systematic Review Methodology Blending Active Learning and Snowballing. - Max van Haastrecht; Injy Sarhan; Bilge Yigit Ozkan; Matthieu J. S. Brinkhuis; Marco Spruit (Frontiers Res. Metrics Anal., 2021)

Exploring the Utility of Dutch Question Answering Datasets for Human Resource Contact Centres. - Chaïm van Toledo; Marijn Schraagen; Friso van Dijk; Matthieu J. S. Brinkhuis; Marco Spruit (Inf., 2022)

Embracing Trustworthiness and Authenticity in the Validation of Learning Analytics Systems. - Max van Haastrecht; Matthieu J. S. Brinkhuis; Jessica Peichl; Bernd Remmele; Marco Spruit (LAK, 2023)

Efficient and General Text Classification: An Active Learning Approach Using Active Learning and NLP to Aid Processes Such as Journalistic Investigations And document Analysis. - Micha van Grinsven; Matthieu J. S. Brinkhuis; Georg Krempl; Joop Snijder (PKDD/ECML Workshops (2), 2023)

Aligning the Goals of Learning Analytics with its Research Scholarship: An Open Peer Commentary Approach. - Rebecca Ferguson; Hassan Khosravi; Vitomir Kovanovic; Olga Viberg; Ashish Aggarwal; Matthieu J. S. Brinkhuis; Simon Buckingham Shum; Lujie Karen Chen; Hendrik Drachsler; Valerie A. Guerrero; Michael Hanses; Caitlin Hayward; et al. (J. Learn. Anal., 2023)

All that glitters is not gold: Four maturity stages of process discovery algorithms. - Jan Martijn E. M. van der Werf; Artem Polyvyanyy; Bart R. van Wensveen; Matthieu J. S. Brinkhuis; Hajo A. Reijers (Inf. Syst., 2023)

VAST: a practical validation framework for e-assessment solutions. - Max van Haastrecht; Matthieu J. S. Brinkhuis; Saskia Wools; Marco Spruit (Inf. Syst. E Bus. Manag., 2023)

Federated Learning Analytics: Investigating the Privacy-Performance Trade-Off in Machine Learning for Educational Analytics. - Max van Haastrecht; Matthieu J. S. Brinkhuis; Marco Spruit (AIED (2), 2024)

Understanding validity criteria in technology-enhanced learning: A systematic literature review. - Max van Haastrecht; Marcel R. Haas; Matthieu J. S. Brinkhuis; Marco Spruit (Comput. Educ., 2024)