متابعة
Peter Bloem
Peter Bloem
Vrije Universiteit Amsterdam
بريد إلكتروني تم التحقق منه على peterbloem.nl - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
61842018
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
922017
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
432017
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
33*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
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20