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.

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.

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.

Yuko Kato, David M.J. Tax, Marco Loog (2023), A View on Model Misspecification in Uncertainty Quantification, Toon Calders, Bart Goethals, Celine Vens, Jefrey Lijffijt (Eds.), In Artificial Intelligence and Machine Learning - 34th Joint Benelux Conference, BNAIC/Benelearn 2022, Revised Selected Papers p.65-77, Springer.

Michiel Bongaerts, Purva Kulkarni, Alan Zammit, Ramon Bonte, Leo A. J. Kluijtmans, Henk J. Blom, Udo F. H. Engelke, D.M.J. Tax, George J.G. Ruijter, M.J.T. Reinders (2023), Benchmarking Outlier Detection Methods for Detecting IEM Patients in Untargeted Metabolomics Data, In Metabolites Volume 13.

Aleksandr Dekhovich, David M.J. Tax, Marel H.F. Sluiter, Miguel A. Bessa (2023), Continual prune-and-select: Class-incremental learning with specialized subnetworks, In Applied Intelligence Volume 53 p.17849-17864.

Arman Naseri, David Tax, Pim van der Harst, Marcel Reinders, Ivo van der Bilt (2023), Data-efficient machine learning methods in the ME-TIME study: Rationale and design of a longitudinal study to detect atrial fibrillation and heart failure from wearables, In Cardiovascular Digital Health Journal Volume 4 p.165-172.

Antonella Mensi, David M.J. Tax, Manuele Bicego (2023), Detecting outliers from pairwise proximities: Proximity isolation forests, In Pattern Recognition Volume 138.

Kim Van Den Houten, Mathijs De Weerdt, David M.J. Tax, Esteban Freydell, Eva Christoupoulou, Alessandro Nati (2023), Rolling-Horizon Simulation Optimization For A Multi-Objective Biomanufacturing Scheduling Problem, In Proceedings of the 2023 Winter Simulation Conference (WSC) p.1912-1923, IEEE.

Ramin Ghorbani, Marcel J.T. Reinders, David M.J. Tax (2023), Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability, In ICMLT 2023 - Proceedings of 2023 8th International Conference on Machine Learning Technologies p.127-132, Association for Computing Machinery (ACM).