Richard Koopmanschap

According to our database, Richard Koopmanschap authored at least 7 papers between 2013 and 2019.

Collaborative distances:

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

2019

IDEL: In-Database Neural Entity Linking.

Torsten Kilias, Alexander Löser, Felix A. Gers, Ying Zhang, Richard Koopmanschap, Martin L. Kersten

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

2018

IDEL: In-Database Entity Linking with Neural Embeddings.

Torsten Kilias, Alexander Löser, Felix A. Gers, Richard Koopmanschap, Ying Zhang, Martin L. Kersten

CoRR, 2018

Love at First Sight: MonetDB/TensorFlow.

Ying Zhang, Richard Koopmanschap, Martin L. Kersten

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

FashionBrain Project: A Vision for Understanding Europe's Fashion Data Universe.

Alessandro Checco, Gianluca Demartini, Alexander Löser, Ines Arous, Mourad Khayati, Matthias Dantone, Richard Koopmanschap, Svetlin Stalinlov, Martin L. Kersten, Ying Zhang

CoRR, 2017

2016

Blaeu: Mapping and Navigating Large Tables with Cluster Analysis.

Thibault Sellam, Robin Cijvat, Richard Koopmanschap, Martin L. Kersten

Proc. VLDB Endow., 2016

2015

Tailoring a cognitive model for situation awareness using machine learning.

Richard Koopmanschap, Mark Hoogendoorn, Jan Joris Roessingh

Appl. Intell., 2015

2013

Learning Parameters for a Cognitive Model on Situation Awareness.

Richard Koopmanschap, Mark Hoogendoorn, Jan Joris Roessingh

Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013