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Peter Bloem
Peter Bloem
Vrije Universiteit Amsterdam
Verified email at peterbloem.nl - Homepage
Title
Cited by
Cited by
Year
Modeling relational data with graph convolutional networks
M Schlichtkrull, TN Kipf, P Bloem, M Berg, R. vd, Titov, I., and Welling
European Semantic Web Conference, 593-607, 2018
23142018
The knowledge graph as the default data model for learning on heterogeneous knowledge
X Wilcke, P Bloem, V De Boer
Data Science 1 (1-2), 39-57, 2017
562017
The MIDI linked data cloud
A Meroņo-Peņuela, R Hoekstra, A Gangemi, P Bloem, R Valk, B Stringer, ...
International Semantic Web Conference, 156-164, 2017
252017
A hybrid 3DCNN and 3DC-LSTM based model for 4D spatio-temporal fMRI data: an ABIDE autism classification study
A El-Gazzar, M Quaak, L Cerliani, P Bloem, G Wingen, R Mani Thomas
OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical …, 2019
232019
Machine learning on linked data, a position paper
P Bloem, GKD De Vries
Linked Data for Knowledge Discovery, 15-19, 2014
162014
Three tools for practical differential privacy
KL van der Veen, R Seggers, P Bloem, G Patrini
Privacy Preserving Machine Learning Workshop, 2018
152018
Are names meaningful? Quantifying social meaning on the semantic web
S Rooij, W Beek, P Bloem, F Harmelen, S Schlobach
International Semantic Web Conference, 184-199, 2016
152016
Large-scale network motif learning with compression
P Bloem, S de Rooij
Data Mining and Knowledge Discovery, 2020 34, 1421–1453, 2020
14*2020
A safe approximation for Kolmogorov complexity
P Bloem, F Mota, S de Rooij, L Antunes, P Adriaans
International Conference on Algorithmic Learning Theory, 336-350, 2014
122014
Simplifying RDF Data for Graph-Based Machine Learning.
P Bloem, A Wibisono, G De Vries
KNOW@ LOD, 2014
102014
Two problems for sophistication
P Bloem, S Rooij, P Adriaans
International Conference on Algorithmic Learning Theory, 379-394, 2015
82015
Transformers from scratch
P Bloem
72019
Exploiting temporality for semi-supervised video segmentation
R Sibechi, O Booij, N Baka, P Bloem
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
62019
Deep learning for classification tasks on geospatial vector polygons
R Veer, P Bloem, E Folmer
arXiv preprint arXiv:1806.03857, 2018
62018
kgbench: A Collection of Knowledge Graph Datasets for Evaluating Relational and Multimodal Machine Learning
P Bloem, X Wilcke, L Berkel, V Boer
European Semantic Web Conference, 614-630, 2021
52021
End-to-end entity classification on multimodal knowledge graphs
WX Wilcke, P Bloem, V de Boer, RH van t Veer, FAH van Harmelen
arXiv preprint arXiv:2003.12383, 2020
52020
Generating scientific documentation for computational experiments using provenance
A Wibisono, P Bloem, GKD de Vries, P Groth, A Belloum, M Bubak
International Provenance and Annotation Workshop, 168-179, 2014
52014
Relational graph convolutional networks: a closer look
T Thanapalasingam, L van Berkel, P Bloem, P Groth
arXiv preprint arXiv:2107.10015, 2021
42021
A tutorial on MDL hypothesis testing for graph analysis
P Bloem, S de Rooij
arXiv preprint arXiv:1810.13163, 2018
42018
Single sample statistics: exercises in learning from just one example
P Bloem
University of Amsterdam, 2016
42016
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