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Richard Koopmanschap
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2010 – 2019
- 2019
- [c3]Torsten Kilias, Alexander Löser, Felix A. Gers, Ying Zhang, Richard Koopmanschap, Martin L. Kersten:
IDEL: In-Database Neural Entity Linking. BigComp 2019: 1-8 - 2018
- [c2]Ying Zhang, Richard Koopmanschap, Martin L. Kersten:
Love at First Sight: MonetDB/TensorFlow. ICDE 2018: 1672 - [i2]Torsten Kilias, Alexander Löser, Felix A. Gers, Richard Koopmanschap, Ying Zhang, Martin L. Kersten:
IDEL: In-Database Entity Linking with Neural Embeddings. CoRR abs/1803.04884 (2018) - 2017
- [i1]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 abs/1710.09788 (2017) - 2016
- [j2]Thibault Sellam, Robin Cijvat, Richard Koopmanschap, Martin L. Kersten:
Blaeu: Mapping and Navigating Large Tables with Cluster Analysis. Proc. VLDB Endow. 9(13): 1477-1480 (2016) - 2015
- [j1]Richard Koopmanschap, Mark Hoogendoorn, Jan Joris Roessingh:
Tailoring a cognitive model for situation awareness using machine learning. Appl. Intell. 42(1): 36-48 (2015) - 2013
- [c1]Richard Koopmanschap, Mark Hoogendoorn, Jan Joris Roessingh:
Learning Parameters for a Cognitive Model on Situation Awareness. IEA/AIE 2013: 22-32
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