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Peter Bloem
Peter Bloem
Vrije Universiteit Amsterdam
Preverjeni e-poštni naslov na peterbloem.nl - Domača stran
Naslov
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Leto
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
32862018
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
702017
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 van Wingen, ...
OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical …, 2019
362019
The MIDI linked data cloud
A Meroño-Peñuela, R Hoekstra, A Gangemi, P Bloem, R de Valk, ...
The Semantic Web–ISWC 2017: 16th International Semantic Web Conference …, 2017
302017
Three tools for practical differential privacy
KL van der Veen, R Seggers, P Bloem, G Patrini
Privacy Preserving Machine Learning Workshop, 2018
222018
Large-scale network motif analysis using compression
P Bloem, S de Rooij
Data Mining and Knowledge Discovery, 2020 34, 1421–1453, 2020
21*2020
Are names meaningful? Quantifying social meaning on the semantic web
S de Rooij, W Beek, P Bloem, F van Harmelen, S Schlobach
The Semantic Web–ISWC 2016: 15th International Semantic Web Conference, Kobe …, 2016
162016
Machine learning on linked data, a position paper
P Bloem, GKD De Vries
Linked Data for Knowledge Discovery, 15-19, 2014
152014
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
132014
kgbench: A Collection of Knowledge Graph Datasets for Evaluating Relational and Multimodal Machine Learning
P Bloem, X Wilcke, L van Berkel, V de Boer
The Semantic Web: 18th International Conference, ESWC 2021, Virtual Event …, 2021
112021
Simplifying RDF Data for Graph-Based Machine Learning.
P Bloem, A Wibisono, G De Vries
KNOW@ LOD, 2014
112014
Relational graph convolutional networks: a closer look
T Thanapalasingam, L van Berkel, P Bloem, P Groth
PeerJ Computer Science 8, e1073, 2022
102022
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
102020
Transformers from scratch
P Bloem
VU University, Aug, 2019
102019
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
92019
Deep learning for classification tasks on geospatial vector polygons
R Veer, P Bloem, E Folmer
arXiv preprint arXiv:1806.03857, 2018
82018
Two problems for sophistication
P Bloem, S de Rooij, P Adriaans
Algorithmic Learning Theory: 26th International Conference, ALT 2015, Banff …, 2015
82015
Generating scientific documentation for computational experiments using provenance
A Wibisono, P Bloem, GKD de Vries, P Groth, A Belloum, M Bubak
Provenance and Annotation of Data and Processes: 5th International …, 2015
52015
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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Članki 1–20