Wouter M. Kouw
Title
Cited by
Cited by
Year
A review of domain adaptation without target labels
WM Kouw, M Loog
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
59*2019
An introduction to domain adaptation and transfer learning
WM Kouw, M Loog
TU Delft Technical Report, 2018
482018
CT image segmentation of bone for medical additive manufacturing using a CNN
J Minnema, M van Eijnatten, WM Kouw, F Diblen, AM Mendrik, J Wolff
Computers in Biology and Medicine 103, 130-139, 2018
402018
Feature-level domain adaptation
WM Kouw, LJP van der Maaten, JH Krijthe, M Loog
Journal of Machine Learning Research 17 (171), 1-32, 2016
362016
Learning an MR acquisition-invariant representation using Siamese neural networks
WM Kouw, M Loog, LW Bartels, AM Mendrik
IEEE International Symposium on Biomedical Imaging 2019 (16), 364 - 367, 2019
8*2019
Target contrastive pessimistic discriminant analysis
WM Kouw, M Loog
arXiv:1809.09463, 2018
4*2018
On regularization parameter estimation under covariate shift
WM Kouw, M Loog
International Conference on Pattern Recognition 2016 (23), 426-431, 2017
42017
A cross-center smoothness prior for variational Bayesian brain tissue segmentation
WM Kouw, SN ōrting, J Petersen, KS Pedersen, M de Bruijne
International Conference on Information Processing in Medical Imaging 2019†…, 2019
32019
Robust importance-weighted cross-validation under sample selection bias
WM Kouw, JH Krijthe, M Loog
IEEE International Workshop on Machine Learning for Signal Processing 2019 (29), 2019
2*2019
Effects of sampling skewness of the importance-weighted risk estimator on model selection
WM Kouw, M Loog
International Conference on Pattern Recognition 2018 (24), 1468 - 1473, 2018
22018
The event-detection gap: manual vs. automatic event detection in historical research
S Hogervorst, H Brugman, L Buitinck, M van Erp, E Klijn, WM Kouw, ...
Digital Humanities Benelux 2018, 2018
22018
Back to the future – temporal adaptation of text representations
J Bjerva, WM Kouw, I Augenstein
AAAI Conference on Artificial Intelligence 34 (5), 7440-7447, 2020
1*2020
Online variational message passing in hierarchical autoregressive models
A Podusenko, WM Kouw, B de Vries
IEEE International Symposium on Information Theory 2020, 2020
12020
Bayesian joint state and parameter tracking in autoregressive models
I Senoz, A Podusenko, WM Kouw, B de Vries
Conference on Learning for Dynamics and Control 2020, 2020
12020
Online system identification in a Duffing oscillator by free energy minimisation
WM Kouw
International Workshop on Active Inference 2020 (1), 2020
2020
The data representativeness criterion
E Schat, R van de Schoot, WM Kouw, D Veen, AM Mendrik
PLOS One 2020, 2020
2020
Agent alignment through active inference
M Koudahl, WM Kouw, B de Vries
Symposium on Information Theory in the Benelux 2019 (40), 2019
2019
Online variational message passing in autoregressive models
A Podusenko, WM Kouw, B de Vries
Symposium on Information Theory in the Benelux 2019 (40), 2019
2019
On domain-adaptive machine learning
WM Kouw
PhD Thesis, Delft University of Technology, 2018
2018
libTLDA: A library of transfer learners and domain-adaptive classifiers
WM Kouw
Software package [github.com/wmkouw/libTLDA], 2018
2018
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Articles 1–20