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Paloma Rabaey

Ph.D. Student
Ghent University
paloma (dot) rabaey (at) ugent (dot) be


About Me

I am a Ph.D. student at the T2K research group at IDLab Ghent. Currently, my research focuses on finding ways to include expert knowledge in deep learning models. I am especially interested in applying these ideas to practical use-cases in healthcare, to improve trustworthiness and interpretability of clinical decision support systems. My research is funded by FWO Flanders. In my free time I love to crochet, travel, read and go to the cinema, among many other things.

Research Interests

Talks

Publications

  1. Paloma Rabaey, Johannes Deleu, Stefan Heytens, Thomas Demeester
    22nd International Conference on Artificial Intelligence in Medicine (AIME), 2024
  2. Paloma Rabaey, Peter Decat, Stefan Heytens, Dirk Vogelaers, An Mariman, Thomas Demeester
    BioPsychoSocial Medicine 18 (10), 2024.
  3. Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Stijn Vansteelandt, Thomas Demeester
    NeurIPS 2023 Workshop on Deep Generative Models for Health (DGM4Health), 2023.
  4. Paloma Rabaey, Cedric De Boom, Thomas Demeester
    NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact(CML4Impact), 2022.
  5. Mathieu De Coster, Karel D'Oosterlinck, Marija Pizurica, Paloma Rabaey, Severine Verlinden, Mieke Van Herreweghe, Joni Dambre
    Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL), 2021.


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