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Peter Bloem
Peter Bloem
Vrije Universiteit Amsterdam
peterbloem.nl의 이메일 확인됨 - 홈페이지
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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
61762018
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
912017
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, ...
International Workshop on OR 2.0 Context-Aware Operating Theaters, 95-102, 2019
612019
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
422017
Relational graph convolutional networks: a closer look
T Thanapalasingam, L van Berkel, P Bloem, P Groth
PeerJ Computer Science 8, e1073, 2022
382022
Three tools for practical differential privacy
KL van der Veen, R Seggers, P Bloem, G Patrini
Privacy Preserving Machine Learning Workshop, 2018
382018
End-to-end learning on multimodal knowledge graphs
WX Wilcke, P Bloem, V de Boer, RH van t Veer
arXiv preprint arXiv:2309.01169, 2023
33*2023
Large-scale network motif analysis using compression
P Bloem, S de Rooij
Data Mining and Knowledge Discovery, 2020 34, 1421–1453, 2020
32*2020
kgbench: A Collection of Knowledge Graph Datasets for Evaluating Relational and Multimodal Machine Learning
P Bloem, X Wilcke, L van Berkel, V de Boer
European Semantic Web Conference, 614-630, 2021
302021
Transformers from scratch
P Bloem
VU University: Amsterdam, The Netherlands, 2019
222019
Deep learning for classification tasks on geospatial vector polygons
R Veer, P Bloem, E Folmer
arXiv preprint arXiv:1806.03857, 2018
22*2018
ProteinGLUE multi-task benchmark suite for self-supervised protein modeling
H Capel, R Weiler, M Dijkstra, R Vleugels, P Bloem, KA Feenstra
Scientific Reports 12 (1), 16047, 2022
212022
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
212014
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
182016
Machine learning on linked data, a position paper
P Bloem, GKD De Vries
Linked Data for Knowledge Discovery, 15-19, 2014
162014
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
142019
Simplifying RDF Data for Graph-Based Machine Learning.
P Bloem, A Wibisono, G De Vries
KNOW@ LOD, 2014
112014
Two problems for sophistication
P Bloem, S de Rooij, P Adriaans
Algorithmic Learning Theory: 26th International Conference, ALT 2015, Banff …, 2015
92015
Improved manual annotation of EEG signals through convolutional neural network guidance
M Diachenko, SJ Houtman, EL Juarez-Martinez, JR Ramautar, R Weiler, ...
Eneuro 9 (5), 2022
72022
A tutorial on MDL hypothesis testing for graph analysis
P Bloem, S de Rooij
arXiv preprint arXiv:1810.13163, 2018
62018
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학술자료 1–20