Thomas Demeester

E-mail: 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

System identification with time-aware neural sequence models (2020) Thomas Demeester (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)
A critical look at studies applying over-sampling on the TPEHGDB dataset (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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