Paloma Rabaey

According to our database, Paloma Rabaey authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Patient-level information extraction by consistent integration of textual and tabular evidence with Bayesian networks.

Paloma Rabaey, Adrick Tench, Stefan Heytens, Thomas Demeester

Appl. Intell., June, 2026

Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records.

Yeonsu Kwon, Jiho Kim, Junseong Choi, Paloma Rabaey, Minseo Kim, Sujeong Im, Jeewon Yang, Jun-Min Lee, Sangji Lee, Jiwon Kim, Hangyul Yoon, Hyunwook Kwon, Edward Choi

CoRR, May, 2026

2025

SimSUM - simulated benchmark with structured and unstructured medical records.

Paloma Rabaey, Stefan Heytens, Thomas Demeester

J. Biomed. Semant., December, 2025

Modeling Clinical Uncertainty in Radiology Reports: from Explicit Uncertainty Markers to Implicit Reasoning Pathways.

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

CoRR, November, 2025

Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation.

Jong Hak Moon, Geon Choi, Paloma Rabaey, Min Gwan Kim, Hyuk Gi Hong, Jung-Oh Lee, Hangyul Yoon, Eun Woo Doe, Jiyoun Kim, Harshita Sharma, Daniel C. Castro, Javier Alvarez-Valle, Edward Choi

CoRR, May, 2025

Prior Knowledge Injection into Deep Learning Models Predicting Gene Expression from Whole Slide Images.

Max Hallemeesch, Marija Pizurica, Paloma Rabaey, Olivier Gevaert, Thomas Demeester, Kathleen Marchal

CoRR, January, 2025

SynSUM - Synthetic Benchmark with Structured and Unstructured Medical Records.

Paloma Rabaey, Stefan Heytens, Thomas Demeester

Dataset, January, 2025

2024

From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding.

Henri Arno, Paloma Rabaey, Thomas Demeester

CoRR, 2024

SynSUM - Synthetic Benchmark with Structured and Unstructured Medical Records.

Paloma Rabaey, Henri Arno, Stefan Heytens, Thomas Demeester

CoRR, 2024

The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic Data.

Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Stijn Vansteelandt, Thomas Demeester

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Debiasing Synthetic Data Generated by Deep Generative Models.

Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Johan Decruyenaere, Christiaan Polet, Thomas Demeester, Stijn Vansteelandt

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Clinical Reasoning over Tabular Data and Text with Bayesian Networks.

Paloma Rabaey, Johannes Deleu, Stefan Heytens, Thomas Demeester

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

2023

Synthetic Data: Can We Trust Statistical Estimators?

Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Stijn Vansteelandt, Thomas Demeester

CoRR, 2023

2022

Neural Bayesian Network Understudy.

Paloma Rabaey, Cedric De Boom, Thomas Demeester

CoRR, 2022

2021

Frozen Pretrained Transformers for Neural Sign Language Translation.

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, 2021