O. Taylan Turan, David M.J. Tax, Tom J. Viering, Marco Loog (2025), Learning Learning Curves, In Pattern Analysis and Applications Volume 28.

Eris van Twist, Anne M. Meester, Arnout B.G. Cramer, Matthijs de Hoog, Alfred C. Schouten, Sascha C.A.T. Verbruggen, Koen F.M. Joosten, Maartje Louter, Dirk C.G. Straver, David M.J. Tax, Rogier C.J. de Jonge, Jan Willem Kuiper (2025), Supervised machine learning on electrocardiography features to classify sleep in noncritically ill children, In Journal of Clinical Sleep Medicine Volume 21 p.261-268.

Eris van Twist, Floor W. Hiemstra, Arnout B.G. Cramer, Sascha C.A.T. Verbruggen, David M.J. Tax, Koen Joosten, Maartje Louter, Dirk C.G. Straver, Matthijs de Hoog, More Authors (2024), An electroencephalography-based sleep index and supervised machine learning as a suitable tool for automated sleep classification in children, In Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine Volume 20 p.389-397.

Arman Naseri , David M.J. Tax, Marcel Reinders, Ivo van der Bilt (2024), Heart disease detection using an acceleration-deceleration curve-based neural network with consumer-grade smartwatch data, In Heliyon Volume 10.

Kim van den Houten, David M.J. Tax, Esteban Freydell, Mathijs de Weerdt (2024), Learning from Scenarios for Repairable Stochastic Scheduling, Bistra Dilkina (Eds.), In Integration of Constraint Programming, Artificial Intelligence, and Operations Research - 21st International Conference, CPAIOR 2024, Proceedings p.234-242, Springer.

Aleksandr Dekhovich, David M.J. Tax, Marcel H.F. Sluiter, Miguel A. Bessa (2024), Neural network relief: a pruning algorithm based on neural activity, In Machine Learning Volume 113 p.2597-2618.

Ramin Ghorbani, Marcel J.T. Reinders, David M.J. Tax (2024), PATE: Proximity-Aware Time Series Anomaly Evaluation, In KDD '24 p.872-883, ACM.

Ramin Ghorbani, Marcel J.T. Reinders, David M.J. Tax (2024), Personalized anomaly detection in PPG data using representation learning and biometric identification, In Biomedical Signal Processing and Control Volume 94.

Ramin Ghorbani, Marcel J.T. Reinders, David M. J. Tax (2024), RESTAD: Reconstruction and Similarity Based Transformer for Time Series Anomaly Detection, In Proceedings of the 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), IEEE.

Aleksandr Dekhovich, Marcel H.F. Sluiter, David M.J. Tax, Miguel A. Bessa (2024), iPINNs: incremental learning for Physics-informed neural networks, In Engineering with Computers Volume 41 (2025) p.389-402.