Academic Bibliography

Search 200 years of publications by Ghent University researchers.

prof. dr. ir. Thomas Demeester

Faculty of Engineering and Architecture > Department of Information technology

ORCID iD: 0000-0002-9901-5768

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WorkRB: A Community-Driven Evaluation Framework for AI in the Work Domain

Matthias De Lange, Warre Veys, Federico Retyk, Daniel Deniz, Warren Jouanneau, Mike Zhang, Aleksander Lukasz Bielinski, Emma Jouffroy, Nicole Clobes, Nina Baranowska, et al.

(2026) Proceedings of the 20th ACM Conference on Recommender Systems (RecSys '26). p.933-938
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The entropic signature of class speciation in diffusion models

Florian Handke (UGent) , D. Stancevic, Félix Koulischer (UGent) , Thomas Demeester (UGent) and L. Ambrogioni

(2026) Proceedings of the 43rd International Conference on Machine Learning (ICML2026).
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ePC : fast and deep predictive coding in digital simulation

Cédric Goemaere (UGent) , G. Oliviers, R. Bogacz and Thomas Demeester (UGent)

(2026) Proceedings of the 43rd International Conference on Machin Learning (PMLR2026).
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Annotation-assisted learning of treatment policies from multimodal electronic health records

Henri Arno (UGent) and Thomas Demeester (UGent)

(2026) Machine Learning for Healthcare Conference (MLHC) 2026, Proceedings. In Proceedings of Machine Learning Research 340. p.1-34
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Rank-learner : orthogonal ranking of treatment effects

Henri Arno (UGent) , D. Frauen, E. Javurek, Thomas Demeester (UGent) and S. Feuerriegel

(2026) Proceedings of the 43rd International Conference on Machine Learning. p.1-33
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Modeling clinical uncertainty in radiology reports : from explicit uncertainty markers to implicit reasoning pathways

Paloma Rabaey (UGent) , Jong Hak Moon, Jung-Oh Lee, Min Gwan Kim, Hangyul Yoon, Thomas Demeester (UGent) and Edward Choi

(2026) Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026). In LREC proceedings p.11852-11873
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Patient-level information extraction by consistent integration of textual and tabular evidence with Bayesian networks

Paloma Rabaey (UGent) , Adrick Tench (UGent) , Stefan Heytens (UGent) and Thomas Demeester (UGent)

(2026) APPLIED INTELLIGENCE. 56(8).
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Artificial intelligence in the judiciary : a systematic literature review on the practical applications

Stijn Van Ruymbeke (UGent) , Joke Baeck (UGent) , Klaas Mulier (UGent) and Thomas Demeester (UGent)

(2026) INFORMATION & COMMUNICATIONS TECHNOLOGY LAW.
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Leveraging artificial intelligence as a decision support system in Belgian Commercial Courts

Stijn Van Ruymbeke (UGent) , Aruna Audenaert (UGent) , Henri Arno (UGent) , Tibe Habils, Joke Baeck (UGent) , Klaas Mulier (UGent) and Thomas Demeester (UGent)

(2026) TWENTIETH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND LAW, ICAIL 2025. p.489-490
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Using causal effect estimation to evaluate occupational stress factors during a weekend on-call shift among general practitioners in training

Géraldine Deberdt (UGent) , Paloma Rabaey (UGent) , Sam Van Damme (UGent) , Laure-Ann Quenon (UGent) , Peter Decat (UGent) and Thomas Demeester (UGent)

(2025) BMC PRIMARY CARE. 27(1).

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