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 - Work Place
- 126 iGent, 9e verdieping lokaal 010
- 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)
- Time-to-birth prediction models and the influence of expert opinions (2019) Gilles Vandewiele (UGent), Isabelle Dehaene (UGent), Olivier Janssens (UGent), Femke Ongenae (UGent), Femke De Backere (UGent), Filip De Turck (UGent), Kristien Roelens (UGent), Sofie Van Hoecke (UGent), Thomas Demeester (UGent)
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