Thomas Demeester
- thomas.demeester@ugent.be
- Phone
-
0470 65 14 95
- Category
-
tenured academic staff
scientific staff imec
- Research Disciplines
-
Data mining
Natural language processing
Multimedia and cross-media information systems
Entities
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
- System identification with time-aware neural sequence models (2020) Thomas Demeester (UGent)
- Character-level recurrent neural networks in practice : comparing training and sampling schemes (2019) Cedric De Boom (UGent), Thomas Demeester (UGent), Bart Dhoedt (UGent)
- Neuro-Symbolic = Neural + Logical + Probabilistic (2019) Luc De Raedt, R. Manhaeve, S. Dumancic, Thomas Demeester (UGent), A. Kimmig
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