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 (EIMM@MM, 2009)

Comparing Vessel Trajectories Using Geographical Domain Knowledge and Alignments. - Gerben de Vries; Willem Robert van Hage; Maarten van Someren (ICDM Workshops, 2010)

Clustering Vessel Trajectories with Alignment Kernels under Trajectory Compression. - Gerben de Vries; Maarten van Someren (ECML/PKDD (1), 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)

Hubble: Linked Data Hub for Clinical Decision Support. - Rinke Hoekstra; Sara Magliacane; Laurens Rietveld; Gerben de Vries; Adianto Wibisono; Stefan Schlobach (ESWC (Satellite Events), 2012)

Machine learning for vessel trajectories using compression, alignments and domain knowledge. - Gerben Klaas Dirk de Vries; Maarten van Someren (Expert Syst. Appl., 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)

Recognizing Vessel Movements from Historical Data. - Gerben de Vries; Maarten van Someren (Situation Awareness with Systems of Systems, 2013)

Graph Kernels for Task 1 and 2 of the Linked Data Data Mining Challenge 2013. - Gerben Klaas Dirk de Vries (DMoLD, 2013)

A Fast and Simple Graph Kernel for RDF. - Gerben Klaas Dirk de Vries; Steven de Rooij (DMoLD, 2013)

A Fast Approximation of the Weisfeiler-Lehman Graph Kernel for RDF Data. - Gerben Klaas Dirk de Vries (ECML/PKDD (1), 2013)

Simplifying RDF Data for Graph-Based Machine Learning. - Peter Bloem; Adianto Wibisono; Gerben de Vries (KNOW@LOD, 2014)

Generating Scientific Documentation for Computational Experiments Using Provenance. - Adianto Wibisono; Peter Bloem; Gerben Klaas Dirk de Vries; Paul Groth; Adam Belloum; Marian Bubak (IPAW, 2014)

Machine Learning on Linked Data, a Position Paper. - Peter Bloem; Gerben de Vries (LD4KD, 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)

Predicting Quality of Crowdsourced Annotations Using Graph Kernels. - Archana Nottamkandath; Jasper Oosterman; Davide Ceolin; Gerben Klaas Dirk de Vries; Wan J. Fokkink (IFIPTM, 2015)

Substructure counting graph kernels for machine learning from RDF data. - Gerben Klaas Dirk de Vries; Steven de Rooij (J. Web Semant., 2015)

A Collection of Benchmark Datasets for Systematic Evaluations of Machine Learning on the Semantic Web. - Petar Ristoski; Gerben Klaas Dirk de Vries; Heiko Paulheim (ISWC (2), 2016)