On regularization parameter estimation under covariate shift. - Wouter M. Kouw; Marco Loog (ICPR, 2016)

Feature-Level Domain Adaptation. - Wouter M. Kouw; Laurens J. P. van der Maaten; Jesse H. Krijthe; Marco Loog (J. Mach. Learn. Res., 2016)

Target contrastive pessimistic risk for robust domain adaptation. - Wouter M. Kouw; Marco Loog (CoRR, 2017)

MR Acquisition-Invariant Representation Learning. - Wouter M. Kouw; Marco Loog; Lambertus W. Bartels; Adriënne M. Mendrik (CoRR, 2017)

On reducing sampling variance in covariate shift using control variates. - Wouter M. Kouw; Marco Loog (CoRR, 2017)

Effects of sampling skewness of the importance-weighted risk estimator on model selection. - Wouter M. Kouw; Marco Loog (ICPR, 2018)

CT image segmentation of bone for medical additive manufacturing using a convolutional neural network. - Jordi Minnema; Maureen van Eijnatten; Wouter M. Kouw; Faruk Diblen; Adriënne Mendrik; Jan Wolff (Comput. Biol. Medicine, 2018)

Target Contrastive Pessimistic Discriminant Analysis. - Wouter M. Kouw; Marco Loog (CoRR, 2018)

Learning an MR acquisition-invariant representation using Siamese neural networks. - Wouter M. Kouw; Marco Loog; Wilbert Bartels; Adriënne M. Mendrik (CoRR, 2018)

An introduction to domain adaptation and transfer learning. - Wouter M. Kouw (CoRR, 2018)

On domain-adaptive machine learning. - Wouter M. Kouw (2018)

A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation. - Wouter M. Kouw; Silas N. Ørting; Jens Petersen; Kim Steenstrup Pedersen; Marleen de Bruijne (IPMI, 2019)

Learning An Mr Acquisition-Invariant Representation Using Siamese Neural Networks. - Wouter M. Kouw; Marco Loog; Lambertus W. Bartels; Adriënne M. Mendrik (ISBI, 2019)

Robust Importance-Weighted Cross-Validation Under Sample Selection Bias. - Wouter M. Kouw; Jesse H. Krijthe; Marco Loog (MLSP, 2019)

A review of single-source unsupervised domain adaptation. - Wouter M. Kouw; Marco Loog (CoRR, 2019)

Back to the Future - Sequential Alignment of Text Representations. - Johannes Bjerva; Wouter M. Kouw; Isabelle Augenstein (CoRR, 2019)

Back to the Future - Temporal Adaptation of Text Representations. - Johannes Bjerva; Wouter M. Kouw; Isabelle Augenstein (AAAI, 2020)

Online Variational Message Passing in Hierarchical Autoregressive Models. - Albert Podusenko; Wouter M. Kouw; Bert de Vries (ISIT, 2020)

Online System Identification in a Duffing Oscillator by Free Energy Minimisation. - Wouter M. Kouw (IWAI, 2020)

Bayesian joint state and parameter tracking in autoregressive models. - Ismail Senöz; Albert Podusenko; Wouter M. Kouw; Bert de Vries (L4DC, 2020)

Target Robust Discriminant Analysis. - Wouter M. Kouw; Marco Loog (S+SSPR, 2020)

The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set Similarity. - Evelien Schat; Rens van de Schoot; Wouter M. Kouw; Duco Veen; Adriënne M. Mendrik (CoRR, 2020)

On Epistemics in Expected Free Energy for Linear Gaussian State Space Models. - Magnus T. Koudahl; Wouter M. Kouw; Bert de Vries (Entropy, 2021)

Message Passing-Based Inference for Time-Varying Autoregressive Models. - Albert Podusenko; Wouter M. Kouw; Bert de Vries (Entropy, 2021)

A Review of Domain Adaptation without Target Labels. - Wouter M. Kouw; Marco Loog (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Robust domain-adaptive discriminant analysis. - Wouter M. Kouw; Marco Loog (Pattern Recognit. Lett., 2021)

Variational message passing for online polynomial NARMAX identification. - Wouter M. Kouw; Albert Podusenko; Magnus T. Koudahl; Maarten Schoukens (ACC, 2022)

Message Passing-based System Identification for NARMAX Models. - Albert Podusenko; Semih Akbayrak; Ismail Senöz; Maarten Schoukens; Wouter M. Kouw (CDC, 2022)

Variational Bayes for Robust Radar Single Object Tracking. - Alp Sari; Tak Kaneko; Lense H. M. Swaenen; Wouter M. Kouw (SiPS, 2022)

Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics. - Wouter M. Kouw; Caspar Gruijthuijsen; Lennart Blanken; Enzo Evers; Timothy J. Rogers 003 (CCTA, 2024)

Message Passing-Based Bayesian Control of a Cart-Pole System. - Sepideh Adamiat; Wouter M. Kouw; Bart van Erp; Bert de Vries (IWAI, 2024)

Planning to Avoid Ambiguous States Through Gaussian Approximations to Non-linear Sensors in Active Inference Agents. - Wouter M. Kouw (IWAI, 2024)

Coupled Autoregressive Active Inference Agents for Control of Multi-joint Dynamical Systems. - Tim N. Nisslbeck; Wouter M. Kouw (IWAI, 2024)

Information-Seeking Polynomial NARX Model-Predictive Control Through Expected Free Energy Minimization. - Wouter M. Kouw (IEEE Control. Syst. Lett., 2024)

Bayesian Inference of Collision Avoidance Intent During Ship Encounters. - Chengfeng Jia; Jie Ma; Bert de Vries; Wouter M. Kouw (IEEE Trans Autom. Sci. Eng., 2025)

Expected Free Energy-based Planning as Variational Inference. - Bert de Vries; Wouter W. L. Nuijten; Thijs van de Laar; Wouter M. Kouw; Sepideh Adamiat; Tim Nisslbeck; Mykola Lukashchuk; Hoang Minh Huu Nguyen; Marco Hidalgo Araya; Raphael Tresor; Thijs Jenneskens; Ivana Nikoloska; et al. (CoRR, 2025)

Multiple Variational Kalman-GRU for Ship Trajectory Prediction With Uncertainty. - Chengfeng Jia; Jie Ma; Wouter M. Kouw (IEEE Trans. Aerosp. Electron. Syst., 2025)

Online Bayesian system identification in multivariate autoregressive models via message passing. - Tim N. Nisslbeck; Wouter M. Kouw (CoRR, 2025)

Bayesian autoregression to optimize temporal Matérn kernel Gaussian process hyperparameters. - Wouter M. Kouw (CoRR, 2025)