Wouter M. Kouw

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Citations	211	211
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140

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201620172018201920201 10 17 48 135

Co-authors

Marco LoogDelft University of Technology & University of CopenhagenVerified email at tudelft.nl
Adriënne MendrikNetherlands Escience CenterVerified email at esciencecenter.nl
Jesse H. KrijtheDelft University of TechnologyVerified email at tudelft.nl
Maureen van EijnattenAssistant Professor, Biomedical Engineering, Eindhoven University of TechnologyVerified email at tue.nl
Jordi MinnemaVerified email at vumc.nl
Laurens van der MaatenResearch Director, Facebook AI ResearchVerified email at fb.com
Marleen de BruijneProfessor of AI in Medical Image Analysis; Erasmus MC Rotterdam and University of CopenhagenVerified email at diku.dk
Bert de VriesProfessor at Eindhoven University of Technology and Principal Scientist at GN HearingVerified email at ieee.org
Johannes BjervaAssistant Professor (Tenure-track), Department of Computer Science, Aalborg UniversityVerified email at cs.aau.dk
Isabelle AugensteinAssociate Professor, Department of Computer Science, University of CopenhagenVerified email at di.ku.dk
Kim Steenstrup PedersenDepartment of computer science, University of CopenhagenVerified email at diku.dk
Jens PetersenComputer Science, University of CopenhagenVerified email at diku.dk
Silas ØrtingPost Doc, Computer Science, University of CopenhagenVerified email at di.ku.dk
Duco VeenAssistant Professor, University Medical Center UtrechtVerified email at umcutrecht.nl
Rens van de SchootUtrecht UniversityVerified email at uu.nl
Magnus T. KoudahlPh.D. candidate, Eindhoven University of TechnologyVerified email at tue.nl

Wouter M. Kouw

Eindhoven University of Technology

Verified email at tue.nl - Homepage

Machine Learning Intelligent Systems Neural Computation


Title Sort by citations Sort by year Sort by 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	48	2018
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	40	2018
Feature-level domain adaptation WM Kouw, LJP van der Maaten, JH Krijthe, M Loog Journal of Machine Learning Research 17 (171), 1-32, 2016	36	2016
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	4	2017
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	3	2019
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	2	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	2	2018
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	1	2020
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	1	2020
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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