1 code implementation • 14 Mar 2024 • Paloma Rabaey, Johannes Deleu, Stefan Heytens, Thomas Demeester
Bayesian networks are well-suited for clinical reasoning on tabular data, but are less compatible with natural language data, for which neural networks provide a successful framework.
1 code implementation • 13 Dec 2023 • Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Stijn Vansteelandt, Thomas Demeester
The increasing interest in data sharing makes synthetic data appealing.
1 code implementation • 15 Nov 2022 • Paloma Rabaey, Cedric De Boom, Thomas Demeester
Bayesian Networks may be appealing for clinical decision-making due to their inclusion of causal knowledge, but their practical adoption remains limited as a result of their inability to deal with unstructured data.
1 code implementation • International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL) 2021 • Mathieu De Coster, Karel D'Oosterlinck, Marija Pizurica, Paloma Rabaey, Severine Verlinden, Mieke Van Herreweghe, Joni Dambre
Our results show that pretrained language models can be used to improve sign language translation performance and that the self-attention patterns in BERT transfer in zero-shot to the encoder and decoder of sign language translation models.