Thomas Demeester
- thomas.demeester@ugent.be
- Phone
-
0470 65 14 95
- Category
-
scientific staff imec
- Research Disciplines
-
Data mining
Natural language processing
Multimedia and cross-media information systems
Entity
Faculty of Engineering and Architecture
Department of Information technology
- Address
-
Technologiepark Zwijnaarde 126
9052 Zwijnaarde - Phone
-
0470 65 14 95
- Phone Secretariat
- 09 264 33 16
Bibliography
- Large-scale user modeling with recurrent neural networks for music discovery on multiple time scales (2018) Cedric De Boom (UGent), Rohan Agrawal, Samantha Hansen, Esh Kumar, Romain Yon, Ching-Wei Chen, Thomas Demeester (UGent), Bart Dhoedt (UGent)
- Modeling and predicting the popularity of online news based on temporal and content-related features (2018) Steven Van Canneyt (UGent), Philip Leroux (UGent), Bart Dhoedt (UGent), Thomas Demeester (UGent)
- Creation and evaluation of large keyphrase extraction collections with multiple opinions (2018) Lucas Sterckx (UGent), Thomas Demeester (UGent), Johannes Deleu (UGent), Chris Develder (UGent)
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