| Feature-level domain adaptation WM Kouw, LJP van der Maaten, JH Krijthe, M Loog Journal of Machine Learning Research 17 (171), 1-32, 2016 | 20 | 2016 |
| Learning an MR acquisition-invariant representation using Siamese neural networks WM Kouw, M Loog, LW Bartels, AM Mendrik International Symposium on Biomedical Imaging 2019 (16), 364 - 367, 2019 | 5* | 2019 |
| 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 | 4 | 2018 |
| On regularization parameter estimation under covariate shift WM Kouw, M Loog International Conference on Pattern Recognition 2016 (23), 426-431, 2017 | 4 | 2017 |
| Target contrastive pessimistic risk for robust domain adaptation WM Kouw, M Loog arXiv:1706.08082, 2017 | 3 | 2017 |
| A review of domain adaptation without target labels WM Kouw, M Loog arXiv:1901.05335, 2019 | 2* | 2019 |
| Robust importance-weighted cross-validation under sample selection bias WM Kouw, JH Krijthe, M Loog International Workshop on Machine Learning for Signal Processing 2019 (29), 2019 | 1* | 2019 |
| An introduction to domain adaptation and transfer learning WM Kouw, M Loog TU Delft Technical Report, 2018 | 1 | 2018 |
| Target contrastive pessimistic discriminant analysis WM Kouw, M Loog arXiv:1809.09463, 2018 | 1 | 2018 |
| A cross-center smoothness prior for variational Bayesian brain tissue segmentation WM Kouw, SN Ørting, J Petersen, KS Pedersen, M de Bruijne International Conference on Information Processing in Medical Imaging 2019 …, 2019 | | 2019 |
| 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 |
| 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 | | 2018 |
| 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 | | 2018 |
| 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, doi.org/10.5281/zenodo.1214315 (github.com/wmkouw/libTLDA/), 2018 | | 2018 |
| Variance reduction techniques for importance-weighted cross-validation WM Kouw, M Loog Dutch Conference on ICT-research 2017, 2017 | | 2017 |
| Feature absence regularization for domain-adaptive learning WM Kouw, LJP Van der Maaten SNN Symposium - Intelligent Machines 2015, 2015 | | 2015 |
| A new information-theoretic measure for saliency prediction. WM Kouw, L Theis, H Gerhard, M Bethge Osnabrück Computational Cognition Alliance Meeting 2013, 2013 | | 2013 |
Marco LoogDelft University of Technology & University of CopenhagenVerified email at tudelft.nl