1 citations · 1 across the 2 of their papers we have counts for
5 papers
End-to-End Entity Classification on Multimodal Knowledge Graphs
W. X. Wilcke, P. Bloem, V. de Boer +2
End-to-end multimodal learning on knowledge graphs has been left largely unaddressed. Instead, most end-to-end models such as message passing networks learn solely from the relatio…
A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study
Ahmed El-Gazzar, Mirjam Quaak, Leonardo Cerliani +3
Functional Magnetic Resonance Imaging (fMRI) captures the temporal dynamics of neural activity as a function of spatial location in the brain. Thus, fMRI scans are represented as 4…
Exploiting Temporality for Semi-Supervised Video Segmentation
Radu Sibechi, Olaf Booij, Nora Baka +1
In recent years, there has been remarkable progress in supervised image segmentation. Video segmentation is less explored, despite the temporal dimension being highly informative.…
Three Tools for Practical Differential Privacy
Koen Lennart van der Veen, Ruben Seggers, Peter Bloem +1
Differentially private learning on real-world data poses challenges for standard machine learning practice: privacy guarantees are difficult to interpret, hyperparameter tuning on…
An Expectation-Maximization Algorithm for the Fractal Inverse Problem
Peter Bloem, Steven de Rooij
We present an Expectation-Maximization algorithm for the fractal inverse problem: the problem of fitting a fractal model to data. In our setting the fractals are Iterated Function…