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Finding Motifs in Knowledge Graphs using Compression


Apr 16, 2021
Peter Bloem


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Uncertainty Intervals for Graph-based Spatio-Temporal Traffic Prediction


Dec 09, 2020
Tijs Maas, Peter Bloem


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A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study


Feb 14, 2020
Ahmed El-Gazzar, Mirjam Quaak, Leonardo Cerliani, Peter Bloem, Guido van Wingen, Rajat Mani Thomas

* Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings 
* 8pages 

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Exploiting Temporality for Semi-Supervised Video Segmentation


Aug 29, 2019
Radu Sibechi, Olaf Booij, Nora Baka, Peter Bloem

* Accepted as workshop paper at ICCV 2019 

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End-to-End Learning from Complex Multigraphs with Latent Graph Convolutional Networks


Aug 14, 2019
Floris Hermsen, Peter Bloem, Fabian Jansen, Wolf Vos


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Three Tools for Practical Differential Privacy


Dec 07, 2018
Koen Lennart van der Veen, Ruben Seggers, Peter Bloem, Giorgio Patrini

* 4 pages, 8 figures, PPML18: Privacy Preserving Machine Learning - NIPS 2018 Workshop 

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A tutorial on MDL hypothesis testing for graph analysis


Oct 31, 2018
Peter Bloem, Steven de Rooij

* arXiv admin note: text overlap with arXiv:1701.02026 

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Learning sparse transformations through backpropagation


Oct 22, 2018
Peter Bloem


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Deep Learning for Classification Tasks on Geospatial Vector Polygons


Jun 11, 2018
Rein van 't Veer, Peter Bloem, Erwin Folmer


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Modeling Relational Data with Graph Convolutional Networks


Oct 26, 2017
Michael Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling


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An Expectation-Maximization Algorithm for the Fractal Inverse Problem


Jun 30, 2017
Peter Bloem, Steven de Rooij


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Finding Network Motifs in Large Graphs using Compression as a Measure of Relevance


Jun 09, 2017
Peter Bloem, Steven de Rooij


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