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Wei Sun
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A unified review of deep learning for automated medical coding
S Ji, W Sun, X Li, H Dong, A Taalas, Y Zhang, H Wu, E Pitkänen, ...
arXiv preprint arXiv:2201.02797, 2022
152022
Alleviating exposure bias in diffusion models through sampling with shifted time steps
M Li, T Qu, W Sun, MF Moens
arXiv preprint arXiv:2305.15583, 2023
142023
Multitask Balanced and Recalibrated Network for Medical Code Prediction
W Sun, S Ji, E Cambria, P Marttinen
ACM Transactions on Intelligent Systems and Technology 14 (1), pp1-20, 2021
132021
Multitask recalibrated aggregation network for medical code prediction
W Sun, S Ji, E Cambria, P Marttinen
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
122021
Extracting Medical Entities from Radiology Reports with Ontology-based Distant Supervision
W Sun
12022
Using unsupervised topic modeling to uncover document hierarchy and latent topics in prostate cancer clinical texts
T Denti, W Sun, S Ji, H Moen, O Kerro, A Rannikko, P Marttinen, ...
medRxiv, 2024.01. 29.24301349, 2024
2024
Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence
W Sun, M Li, D Sileo, J Davis, MF Moens
arXiv preprint arXiv:2310.01299, 2023
2023
Weak Supervision and Clustering-Based Sample Selection for Clinical Named Entity Recognition
W Sun, S Ji, T Denti, H Moen, O Kerro, A Rannikko, P Marttinen, ...
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
2023
Content Reduction, Surprisal and Information Density Estimation for Long Documents
S Ji, W Sun, P Marttinen
arXiv preprint arXiv:2309.06009, 2023
2023
Towards Explainability in Automated Medical Code Prediction from Clinical Records
K Uma, S Francis, W Sun, MF Moens
Intelligent Systems Conference, 593-637, 2023
2023
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