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.

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

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).

M. Moradi, R. Ghorbani, Stefano Sfarra, D.M.J. Tax, D. Zarouchas (2022), A Spatiotemporal Deep Neural Network Useful for Defect Identification and Reconstruction of Artworks Using Infrared Thermography, In Sensors Volume 22.

Stephanie Tan, David M.J. Tax, Hayley Hung (2022), Conversation Group Detection With Spatio-Temporal Context, In ICMI 2022 - Proceedings of the 2022 International Conference on Multimodal Interaction p.170-180, Association for Computing Machinery (ACM).

Skander Tahar Mulder, Amir-Houshang Omidvari, Anja J. Rueten-Budde, Rihan Hai, Can Akgün, David M.J. Tax, M.J.T. Reinders, Marcel Reinders, Valentijn Visch, More Authors (2022), Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course, In Journal of Medical Internet Research Volume 24.

M. Moradi, R. Ghorbani, Stefano Sfarra, D.M.J. Tax, D. Zarouchas (2022), Infrared thermal defect identification and reconstruction of artworks using a spatiotemporal deep neural network, In Proceedings of the International Conference on Inverse Problems in Engineering 2022 Volume 10 p.503-510.