7 citations · 7 across the 3 of their papers we have counts for
4 papers
Evaluating Feature Attribution Methods in the Image Domain
Arne Gevaert, Axel-Jan Rousseau, Thijs Becker +3
Feature attribution maps are a popular approach to highlight the most important pixels in an image for a given prediction of a model. Despite a recent growth in popularity and avai…
Longitudinal modeling of MS patient trajectories improves predictions of disability progression
Edward De Brouwer, Thijs Becker, Yves Moreau +38
Research in Multiple Sclerosis (MS) has recently focused on extracting knowledge from real-world clinical data sources. This type of data is more abundant than data produced during…
Post Training Uncertainty Calibration of Deep Networks For Medical Image Segmentation
Axel-Jan Rousseau, Thijs Becker, Jeroen Bertels +2
Neural networks for automated image segmentation are typically trained to achieve maximum accuracy, while less attention has been given to the calibration of their confidence score…
Bayesian optimization of hyper-parameters in reservoir computing
Jan Yperman, Thijs Becker
We describe a method for searching the optimal hyper-parameters in reservoir computing, which consists of a Gaussian process with Bayesian optimization. It provides an alternative…