Gerben de Vries

According to our database, Gerben de Vries authored at least 18 papers between 2009 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2016

A Collection of Benchmark Datasets for Systematic Evaluations of Machine Learning on the Semantic Web.

Petar Ristoski, Gerben Klaas Dirk de Vries, Heiko Paulheim

Proceedings of the Semantic Web - ISWC 2016, 2016

2015

Substructure counting graph kernels for machine learning from RDF data.

Gerben Klaas Dirk de Vries, Steven de Rooij

J. Web Semant., 2015

Predicting Quality of Crowdsourced Annotations Using Graph Kernels.

Archana Nottamkandath, Jasper Oosterman, Davide Ceolin, Gerben Klaas Dirk de Vries, Wan J. Fokkink

Proceedings of the Trust Management IX - 9th IFIP WG 11.11 International Conference, 2015

2014

An analysis of alignment and integral based kernels for machine learning from vessel trajectories.

Gerben Klaas Dirk de Vries, Maarten van Someren

Expert Syst. Appl., 2014

Machine Learning on Linked Data, a Position Paper.

Peter Bloem, Gerben de Vries

Proceedings of the 1st Workshop on Linked Data for Knowledge Discovery co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), 2014

Generating Scientific Documentation for Computational Experiments Using Provenance.

Adianto Wibisono, Peter Bloem, Gerben Klaas Dirk de Vries, Paul Groth, Adam Belloum, Marian Bubak

Proceedings of the Provenance and Annotation of Data and Processes, 2014

Simplifying RDF Data for Graph-Based Machine Learning.

Peter Bloem, Adianto Wibisono, Gerben de Vries

Proceedings of the 3rd Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data co-located with 11th Extended Semantic Web Conference (ESWC 2014), 2014

2013

A Fast Approximation of the Weisfeiler-Lehman Graph Kernel for RDF Data.

Gerben Klaas Dirk de Vries

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

A Fast and Simple Graph Kernel for RDF.

Gerben Klaas Dirk de Vries, Steven de Rooij

Proceedings of the International Workshop on Data Mining on Linked Data, 2013

Graph Kernels for Task 1 and 2 of the Linked Data Data Mining Challenge 2013.

Gerben Klaas Dirk de Vries

Proceedings of the International Workshop on Data Mining on Linked Data, 2013

Recognizing Vessel Movements from Historical Data.

Gerben de Vries, Maarten van Someren

Proceedings of the Situation Awareness with Systems of Systems, 2013

2012

Abstracting and reasoning over ship trajectories and web data with the Simple Event Model (SEM).

Willem Robert van Hage, Véronique Malaisé, Gerben de Vries, Guus Schreiber, Maarten van Someren

Multim. Tools Appl., 2012

Machine learning for vessel trajectories using compression, alignments and domain knowledge.

Gerben Klaas Dirk de Vries, Maarten van Someren

Expert Syst. Appl., 2012

Hubble: Linked Data Hub for Clinical Decision Support.

Rinke Hoekstra, Sara Magliacane, Laurens Rietveld, Gerben de Vries, Adianto Wibisono, Stefan Schlobach

Proceedings of the Semantic Web: ESWC 2012 Satellite Events, 2012

2010

An integrated approach for visual analysis of a multisource moving objects knowledge base.

Niels Willems, Willem Robert van Hage, Gerben de Vries, Jeroen H. M. Janssens, Véronique Malaisé

Int. J. Geogr. Inf. Sci., 2010

Clustering Vessel Trajectories with Alignment Kernels under Trajectory Compression.

Gerben de Vries, Maarten van Someren

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Comparing Vessel Trajectories Using Geographical Domain Knowledge and Alignments.

Gerben de Vries, Willem Robert van Hage, Maarten van Someren

Proceedings of the ICDMW 2010, 2010

2009

Combining ship trajectories and semantics with the simple event model (SEM).

Willem Robert van Hage, Véronique Malaisé, Gerben de Vries, Guus Schreiber, Maarten van Someren

Proceedings of the 1st ACM international workshop on Events in multimedia, 2009