609 citations · 924 across the 12 of their papers we have counts for
Showing 2018Show all
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cs.CV2018★ 8 cited
Learning an MR acquisition-invariant representation using Siamese neural networks
Wouter M. Kouw, Marco Loog, Wilbert Bartels +1
Generalization of voxelwise classifiers is hampered by differences between MRI-scanners, e.g. different acquisition protocols and field strengths. To address this limitation, we pr…
stat.ML2018★ 1 cited
Target Robust Discriminant Analysis
Wouter M. Kouw, Marco Loog
In practice, the data distribution at test time often differs, to a smaller or larger extent, from that of the original training data. Consequentially, the so-called source classif…
stat.ML2018★ 4 cited
Effects of sampling skewness of the importance-weighted risk estimator on model selection
Wouter M. Kouw, Marco Loog
Importance-weighting is a popular and well-researched technique for dealing with sample selection bias and covariate shift. It has desirable characteristics such as unbiasedness, c…