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2020 – today
- 2025
[j1]Paloma Rabaey, Stefan Heytens, Thomas Demeester:
SimSUM - simulated benchmark with structured and unstructured medical records. J. Biomed. Semant. 16(1): 20 (2025)- [d1]Paloma Rabaey
, Stefan Heytens, Thomas Demeester:
SynSUM - Synthetic Benchmark with Structured and Unstructured Medical Records. IEEE DataPort, 2025
- [i10]Max Hallemeesch, Marija Pizurica, Paloma Rabaey, Olivier Gevaert, Thomas Demeester, Kathleen Marchal:
Prior Knowledge Injection into Deep Learning Models Predicting Gene Expression from Whole Slide Images. CoRR abs/2501.14056 (2025) - [i9]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:
Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation. CoRR abs/2505.21190 (2025) - [i8]Paloma Rabaey, Jong Hak Moon, Jung-Oh Lee, Min Gwan Kim, Hangyul Yoon, Thomas Demeester, Edward Choi:
Modeling Clinical Uncertainty in Radiology Reports: from Explicit Uncertainty Markers to Implicit Reasoning Pathways. CoRR abs/2511.04506 (2025) - [i7]Paloma Rabaey, Adrick Tench, Stefan Heytens, Thomas Demeester:
Patient-level Information Extraction by Consistent Integration of Textual and Tabular Evidence with Bayesian Networks. CoRR abs/2511.17056 (2025) - 2024
- [c4]Paloma Rabaey, Johannes Deleu, Stefan Heytens, Thomas Demeester:
Clinical Reasoning over Tabular Data and Text with Bayesian Networks. AIME (1) 2024: 229-250 - [c3]Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Johan Decruyenaere, Christiaan Polet, Thomas Demeester, Stijn Vansteelandt:
Debiasing Synthetic Data Generated by Deep Generative Models. NeurIPS 2024 - [c2]Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Stijn Vansteelandt, Thomas Demeester:
The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic Data. UAI 2024: 966-996 - [i6]Paloma Rabaey, Johannes Deleu, Stefan Heytens, Thomas Demeester:
Clinical Reasoning over Tabular Data and Text with Bayesian Networks. CoRR abs/2403.09481 (2024) - [i5]Paloma Rabaey, Henri Arno, Stefan Heytens, Thomas Demeester:
SynSUM - Synthetic Benchmark with Structured and Unstructured Medical Records. CoRR abs/2409.08936 (2024) - [i4]Henri Arno, Paloma Rabaey, Thomas Demeester:
From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding. CoRR abs/2409.15503 (2024) - [i3]Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Thomas Demeester, Stijn Vansteelandt:
Debiasing Synthetic Data Generated by Deep Generative Models. CoRR abs/2411.04216 (2024) - 2023
- [i2]Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Stijn Vansteelandt, Thomas Demeester:
Synthetic Data: Can We Trust Statistical Estimators? CoRR abs/2312.07837 (2023) - 2022
- [i1]Paloma Rabaey, Cedric De Boom, Thomas Demeester:
Neural Bayesian Network Understudy. CoRR abs/2211.08243 (2022) - 2021
- [c1]Mathieu De Coster, Karel D'Oosterlinck, Marija Pizurica, Paloma Rabaey, Severine Verlinden, Mieke Van Herreweghe, Joni Dambre:
Frozen Pretrained Transformers for Neural Sign Language Translation. AT4SSL@MTSummit 2021: 88-97
Coauthor Index
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