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Gerben de Vries
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2010 – 2019
- 2016
- [c12]Petar Ristoski, Gerben Klaas Dirk de Vries, Heiko Paulheim:
A Collection of Benchmark Datasets for Systematic Evaluations of Machine Learning on the Semantic Web. ISWC (2) 2016: 186-194 - 2015
- [j5]Gerben Klaas Dirk de Vries, Steven de Rooij:
Substructure counting graph kernels for machine learning from RDF data. J. Web Semant. 35: 71-84 (2015) - [c11]Archana Nottamkandath, Jasper Oosterman, Davide Ceolin, Gerben Klaas Dirk de Vries, Wan J. Fokkink:
Predicting Quality of Crowdsourced Annotations Using Graph Kernels. IFIPTM 2015: 134-148 - 2014
- [j4]Gerben Klaas Dirk de Vries, Maarten van Someren:
An analysis of alignment and integral based kernels for machine learning from vessel trajectories. Expert Syst. Appl. 41(16): 7596-7607 (2014) - [c10]Peter Bloem, Adianto Wibisono, Gerben de Vries:
Simplifying RDF Data for Graph-Based Machine Learning. KNOW@LOD 2014 - [c9]Adianto Wibisono, Peter Bloem, Gerben Klaas Dirk de Vries, Paul Groth, Adam Belloum, Marian Bubak:
Generating Scientific Documentation for Computational Experiments Using Provenance. IPAW 2014: 168-179 - [c8]Peter Bloem, Gerben de Vries:
Machine Learning on Linked Data, a Position Paper. LD4KD 2014 - 2013
- [c7]Gerben Klaas Dirk de Vries:
Graph Kernels for Task 1 and 2 of the Linked Data Data Mining Challenge 2013. DMoLD 2013 - [c6]Gerben Klaas Dirk de Vries, Steven de Rooij:
A Fast and Simple Graph Kernel for RDF. DMoLD 2013 - [c5]Gerben Klaas Dirk de Vries:
A Fast Approximation of the Weisfeiler-Lehman Graph Kernel for RDF Data. ECML/PKDD (1) 2013: 606-621 - [p1]Gerben de Vries, Maarten van Someren:
Recognizing Vessel Movements from Historical Data. Situation Awareness with Systems of Systems 2013: 105-118 - 2012
- [j3]Gerben Klaas Dirk de Vries, Maarten van Someren:
Machine learning for vessel trajectories using compression, alignments and domain knowledge. Expert Syst. Appl. 39(18): 13426-13439 (2012) - [j2]Willem Robert van Hage, Véronique Malaisé, Gerben de Vries, Guus Schreiber, Maarten van Someren:
Abstracting and reasoning over ship trajectories and web data with the Simple Event Model (SEM). Multim. Tools Appl. 57(1): 175-197 (2012) - [c4]Rinke Hoekstra, Sara Magliacane, Laurens Rietveld, Gerben de Vries, Adianto Wibisono, Stefan Schlobach:
Hubble: Linked Data Hub for Clinical Decision Support. ESWC (Satellite Events) 2012: 458-462 - 2010
- [j1]Niels Willems, Willem Robert van Hage, Gerben de Vries, Jeroen H. M. Janssens, Véronique Malaisé:
An integrated approach for visual analysis of a multisource moving objects knowledge base. Int. J. Geogr. Inf. Sci. 24(10): 1543-1558 (2010) - [c3]Gerben de Vries, Willem Robert van Hage, Maarten van Someren:
Comparing Vessel Trajectories Using Geographical Domain Knowledge and Alignments. ICDM Workshops 2010: 209-216 - [c2]Gerben de Vries, Maarten van Someren:
Clustering Vessel Trajectories with Alignment Kernels under Trajectory Compression. ECML/PKDD (1) 2010: 296-311
2000 – 2009
- 2009
- [c1]Willem Robert van Hage, Véronique Malaisé, Gerben de Vries, Guus Schreiber, Maarten van Someren:
Combining ship trajectories and semantics with the simple event model (SEM). EIMM@MM 2009: 73-80
Coauthor Index
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