Publications


Bayesian grey-box identification of convection effects in heat transfer dynamics.
Submitted to IEEE International Conference on Control Technology and Applications, 2024.

Multiple variational Kalman-GRU for ship trajectory prediction with uncertainty.
Submitted to IEEE Transactions on Aerospace and Electronic Systems, 2023.

Bayesian inference of collision avoidance intent during ship encounters.
Submitted to IEEE Transactions on Automation Science and Engineering, 2023.

Message-passing-based system identification for NARMAX models.
Conference on Decision and Control, 2022.

Variational Bayes for robust radar single object tracking.
IEEE Workshop on Signal Processing Systems, 2022.

Variational message passing for online polynomial NARMAX identification.
American Control Conference, 2022.

Message passing-based inference for time-varying autoregressive models.
MDPI Entropy, 2021.

Robust domain-adaptive discriminant analysis.
Pattern Recognition Letters, 2021.

Target robust discriminant analysis.
IAPR International Workshop on Statistical Pattern Recognition, 2021.

The data representativeness criterion.
PLOS One, 2020.

Online variational message passing in hierarchical autoregressive models.
IEEE International Symposium on Information Theory, 2020.

Bayesian joint state and parameter tracking in autoregressive models.
Conference on Learning for Decision and Control, 2020.

Back to the future - temporal adaptation of text representations.
AAAI Conference on Artificial Intelligence, 2019.

A review of domain adaptation without target labels.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019.

Robust importance-weighted cross-validation under sample selection bias.
IEEE International Workshop on Machine Learning for Signal Processing, 2019.

A cross-center smoothness prior for variational Bayesian brain tissue segmentation.
International Conference on Information Processing in Medical Imaging, 2019.

Learning an MR acquisition-invariant representation using Siamese neural networks.
IEEE International Symposium on Biomedical Imaging, 2019.

CT image segmentation of bone for medical additive manufacturing using a CNN.
Computers in Biology & Medicine, 2018.

Effects of sampling skewness of the importance-weighted risk estimator on model selection.
International Conference on Pattern Recognition, 2018.

An introduction to domain adaptation and transfer learning.
Technical Report - TU Delft, 2017.

On regularization parameter estimation under covariate shift.
International Conference on Pattern Recognition, 2016.

Feature-level domain adaptation.
Journal of Machine Learning Research, 2016.