Richard Koopmanschap

Publication Activity (10 Years)

Years Active: 2013-2019
Publications (10 Years): 5

Top Topics

Partitional Clustering

Situation Awareness

Cognitive Model

Top Venues

Proc. VLDB Endow.

Publications

Torsten Kilias, Alexander Löser, Felix A. Gers, Ying Zhang, Richard Koopmanschap, Martin L. Kersten
IDEL: In-Database Neural Entity Linking. BigComp (2019)
Torsten Kilias, Alexander Löser, Felix A. Gers, Richard Koopmanschap, Ying Zhang, Martin L. Kersten
IDEL: In-Database Entity Linking with Neural Embeddings. CoRR (2018)
Ying Zhang, Richard Koopmanschap, Martin L. Kersten
Love at First Sight: MonetDB/TensorFlow. ICDE (2018)
Alessandro Checco, Gianluca Demartini, Alexander Löser, Ines Arous, Mourad Khayati, Matthias Dantone, Richard Koopmanschap, Svetlin Stalinlov, Martin L. Kersten, Ying Zhang
FashionBrain Project: A Vision for Understanding Europe's Fashion Data Universe. CoRR (2017)
Thibault Sellam, Robin Cijvat, Richard Koopmanschap, Martin L. Kersten
Blaeu: Mapping and Navigating Large Tables with Cluster Analysis. Proc. VLDB Endow. 9 (13) (2016)
Richard Koopmanschap, Mark Hoogendoorn, Jan Joris Roessingh
Tailoring a cognitive model for situation awareness using machine learning. Appl. Intell. 42 (1) (2015)
Richard Koopmanschap, Mark Hoogendoorn, Jan Joris Roessingh
Learning Parameters for a Cognitive Model on Situation Awareness. IEA/AIE (2013)