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
- A self-training approach for short text clustering (2019) Amir Hadifar (UGent), Lucas Sterckx (UGent), Thomas Demeester (UGent), Chris Develder (UGent)
- Predicting suicide risk from online postings in Reddit: The UGent-IDLab submission to the CLPysch 2019 Shared Task A (2019) Semere Kiros Bitew (UGent), Ioannis Bekoulis (UGent), Johannes Deleu (UGent), Lucas Sterckx (UGent), Klim Zaporojets (UGent), Thomas Demeester (UGent), Chris Develder (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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